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Mercor is partnering with a top AI research organization to evaluate and improve how coding assistants reason, act, and communicate during development workflows. We’re seeking technically sharp experts (especially those with experience in code review, testing, or documentation) to assess full transcripts of user–AI coding conversations. This short-term, fully remote engagement helps shape the future of developer-assisting AI systems. Key Responsibilities • Review long-form transcripts between users and AI coding assistants • Analyze the AI’s logic, execution, and stated actions in detail • Score each transcript using a 10-point rubric across multiple criteria • Optionally write brief justifications citing examples from the dialogue • Detect mismatches between claims and actions (e.g., saying “I’ll run tests” but not doing so) Ideal Qualifications Top choices: • Senior or Staff Engineers with deep code review experience and execution insight • QA Engineers with strong verification and consistency-checking habits • Technical Writers or Documentation Specialists skilled at comparing instructions vs. implementation Also a strong fit: • Backend or Full-Stack Developers comfortable with function calls, APIs, and test workflows • DevOps or SRE professionals familiar with tool orchestration and system behavior analysis Languages and Tools: • Proficiency in Python is helpful (most transcripts are Python-based) • Familiarity with other languages like JavaScript, TypeScript, Java, C++, Go, Ruby, Rust, or Bash is a plus • Comfort with Git workflows, testing frameworks, and debugging tools is valuable More About the Opportunity • Remote and asynchronous — complete tasks on your own schedule • Must complete each transcript batch within 5 hours of starting (unlimited tasks to be done) • Flexible, task-based engagement with potential for recurring batches Compensation & Contract Terms • Competitive hourly rates based on geography and experience • Contractors will be classified as independent service providers • Payments issued weekly via Stripe Connect Application Process • Submit your resume to begin • If selected, you’ll receive rubric documentation and access to the evaluation platform • Most applicants hear back within a few business days About Mercor • Mercor is a talent marketplace that connects top experts with leading AI labs and research organizations • Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey • Thousands of professionals across law, engineering, and research contribute to frontier AI projects via Mercor

Senior Backend Developer - Python $120,000 - $170,000 West Hollywood, CA Hybrid Overview We’re looking for a seasoned backend engineer to help design and build the core systems behind our workspace platform. You’ll take ownership of designing efficient services and APIs, working closely with product and engineering peers to deliver reliable, scalable systems. This role is ideal for someone who enjoys writing clean, performant code and shaping the technical foundation of a fast-moving product. What You’ll Be Doing • Partner with product and technical teams to define and deliver backend capabilities., • Design and implement service components and APIs that handle complex business logic., • Work primarily in Python, using frameworks such as Flask to develop and extend our service layer., • Build integrations and data flows on top of our cloud infrastructure (AWS)., • Participate in architectural planning, technical reviews, and process improvements across the team. About You • 6+ years of professional software engineering experience, including substantial time spent on backend systems., • Expert-level fluency in Python, with hands-on experience using Flask to build production-grade APIs and services., • Solid understanding of AWS fundamentals and modern cloud-based design patterns., • Comfortable designing for performance, scalability, and maintainability., • Pragmatic problem-solver with strong technical judgment and attention to detail., • Experience in enterprise SaaS or insurance platforms is a plus. Nice to Have: • Insurance industry experience.

IT Systems Administrator Salary Range: $90k to $115k Job Overview: We are seeking an experienced and proactive IT Systems Administrator to manage and support our internal IT infrastructure in a fast-paced ERP software environment. The ideal candidate will ensure the reliability, security, and performance of our systems while supporting employees and stakeholders with technical needs. You will play a key role in maintaining uptime for our development, staging, and production environments that power mission-critical ERP solutions. Key Responsibilities and Outcomes: • System Administration: Maintain, configure, and monitor internal servers, virtual machines, and cloud-based infrastructure (e.g., )., • Network Management: Ensure stable and secure network operations, including firewalls, VPNs, switches, and wireless access points., • ERP Infrastructure Support: Deploy and maintain backend infrastructure for ERP software, including databases (e.g., MS SQL Server), application servers, and storage solutions., • Security and Compliance: Implement and enforce IT security policies, patch management, vulnerability scanning, and compliance with data protection regulations (e.g., GDPR, SOC 2)., • Disaster Recovery & Backup: Develop, test, and maintain disaster recovery plans and data backup strategies to ensure business continuity., • User Support & Onboarding: Provide Tier 2/3 technical support, onboarding/offboarding of employees, and maintain IT asset inventory., • Automation & Optimization: Use scripting (e.g., PowerShell, Bash, Python) and automation tools to streamline system administration tasks and improve efficiency., • Monitoring & Reporting: Monitor system performance and generate reports on uptime, resource utilization, and security alerts., • Vendor Management: Coordinate with third-party vendors for hardware, software, and service support. Core Competencies: • Problem Solving & Troubleshooting – Quickly identify root causes and resolve system or network issues with minimal disruption., • Attention to Detail – Maintain high accuracy in configuration, documentation, and system logs., • Collaboration & Communication – Work effectively with cross-functional teams, including software developers, QA engineers, and support staff., • Adaptability – Thrive in a fast-changing tech environment with evolving tools and priorities., • Security Awareness – Maintain a strong focus on cybersecurity best practices. Skills and Accomplishments: • Demonstrated experience managing ERP system environments (preferably SAP, Oracle, NetSuite, Odoo, or Microsoft Dynamics)., • Proven success in maintaining >99.9% system uptime across production environments., • Experience implementing IT security measures that passed regulatory audits or reduced vulnerabilities., • Successfully deployed automation scripts/tools that improved infrastructure reliability or saved time., • Led or contributed to cloud migration, virtualization, or infrastructure modernization projects. Qualifications for the Role Education: • Microsoft Certified: Azure Administrator Associate, • AWS Certified SysOps Administrator, • CompTIA Network+ / Security+, • 3–5 years of experience as a systems administrator or IT infrastructure engineer., • Windows Server and/or Linux Administration, • Virtualization technologies (VMware, Hyper-V, KVM), • Networking (TCP/IP, DNS, DHCP, firewalls, VLANs), • Cloud platforms (Azure, AWS, or GCP), • Backup and recovery tools (e.g., Veeam, Acronis), • Monitoring tools (e.g., Zabbix, Nagios, PRTG, Datadog)

Manager, Technology - Data & Analytics FTE | Hybrid Onsite | Los Angeles, CA Target Base Salary: $150-180k In this role you are a strategic thinker and technical leader, skilled in building robust, scalable solutions that support enterprise-wide data needs. Your expertise in data integration, cloud platforms, and modern development practices empowers you to architect systems that enable advanced analytics, AI, and machine learning across the organization. In this role, you will lead a team of integration engineers focused on designing, developing, and maintaining data pipelines and automation frameworks that span multiple platforms and technologies. Leveraging your proficiency in Python, Snowflake, Azure, and scripting languages, you will deliver secure, high-performance solutions that power critical business insights. You’ll work closely with stakeholders across data science, analytics, and IT teams to define technical strategy, set priorities, and ensure successful delivery of integration projects. You will also be responsible for overseeing version control, CI/CD processes, and infrastructure automation using tools such as GitHub and Azure DevOps. Familiarity with data ingestion and transformation platforms like Fivetran, SQL Server, SSIS, Astronomer, Airflow, and reporting tools like Tableau will help you drive operational excellence and continuous improvement. Additionally, your experience with document processing solutions will enable you to support a broad range of use cases, from traditional reporting to intelligent automation. Responsibilities: • Lead and mentor a team of data engineers and integration specialists., • Define and implement best practices for data integration, ETL/ELT processes, and data governance., • Collaborate with business stakeholders to understand integration requirements and translate them into technical solutions., • Oversee the development and optimization of data pipelines using Python, Snowflake, and Azure services., • Integrate AI and machine learning models into data workflows for predictive analytics and automation., • Implement document processing solutions for extracting and structuring data from unstructured sources., • Ensure data quality, security, and compliance across all integration processes., • Utilize GitHub and Azure DevOps for source control, code reviews, and deployment automation., • Stay current with emerging technologies and recommend improvements to existing architecture. Basic Qualifications: • Bachelor’s degree in Computer Science, Information Systems, or related field (Master’s preferred)., • 7+ years of experience in data engineering or integration roles, with at least 2 years in a leadership capacity., • Strong proficiency in Python, SQL, and scripting languages (e.g., PowerShell, Bash)., • Hands-on experience with Snowflake, Azure functionality, and cloud-based data solutions., • Familiarity with GitHub and Azure DevOps for CI/CD and version control., • Experience implementing AI/ML models using frameworks such as TensorFlow, PyTorch, or scikit-learn., • Experience with document processing frameworks (e.g., OCR, NLP)., • Bonus Skills: Experience with Fivetran, SQL Server, SSIS, Astronomer, Airflow, and Tableau., • Excellent communication and leadership skills. Preferred Qualifications: • Previous work experience in a financial institution environment., • Possess strong analytical skills and ability to solve practical problems and deal with a variety of concrete variables in situations where only limited standardization may exist., • Ability to interpret a variety of instructions furnished in written, oral, diagram, or schedule form.

* This role requires ONSITE interview in the Southern California office * We’re looking for a Senior Backend/Data Platform Engineer with extensive handson experience in Python, PySpark, and Databricks. You will be part of a talented team that builds next generation of high-performance data systems. What You’ll Do • Engineer, optimize, and maintain backend services and data platform using Python, PySpark, and Databricks., • Build scalable APIs and microservices that power mission-critical applications across the enterprise., • Work on PostgreSQL data models to ensure rock-solid reliability and performance., • Work closely with cross-functional teams in delivering resilient, scalable platforms., • Dive into performance tuning, debugging, and production troubleshooting when systems need your expertise., • Integrate with external systems like OpenText (a plus, but not a must). What You Bring • 8+ years of professional software engineering experience focused on backend systems., • Proven development skills in Python, PySpark, and Databricks especially for heavy data processing and platform work., • A deep understanding of backend architecture, distributed systems, and modern API design., • Hands-on experience with PostgreSQL or similar relational databases., • Experience working with cloud ecosystems (AWS, Azure, GCP) and CI/CD tooling., • An independent, analytical mindset with a passion for tackling complex engineering challenges. If this is you, please send your resume with direct contact information.

City: Glendale, CA Onsite/ Hybrid/ Remote: Hybrid (3 days a week onsite, Friday - Remote) Duration: 12 months Rate Range: Up to$85/hr on W2 depending on experience (no C2C or 1099 or sub-contract) Work Authorization: GC, USC, All valid EADs except OPT, CPT, H1B Must Have: • 5+ years Data Engineering, • Airflow, • Spark DataFrame API, • Databricks, • SQL, • API integration, • AWS, • Python or Java or Scala Responsibilities: • Maintain, update, and expand Core Data platform pipelines., • Build tools for data discovery, lineage, governance, and privacy., • Partner with engineering and cross-functional teams to deliver scalable solutions., • Use Airflow, Spark, Databricks, Delta Lake, Kubernetes, and AWS to build and optimize workflows., • Support platform standards, best practices, and documentation., • Ensure data quality, reliability, and SLA adherence across datasets., • Participate in Agile ceremonies and continuous process improvement., • Work with internal customers to understand needs and prioritize enhancements., • Maintain detailed documentation that supports governance and quality. Qualifications: • 5+ years in data engineering with large-scale pipelines., • Strong SQL and one major programming language (Python, Java, or Scala)., • Production experience with Spark and Databricks., • Experience ingesting and interacting with API data sources., • Hands-on Airflow orchestration experience., • Experience developing APIs with GraphQL., • Strong AWS knowledge and infrastructure-as-code familiarity., • Understanding of OLTP vs OLAP, data modeling, and data warehousing., • Strong problem-solving and algorithmic skills., • Clear written and verbal communication., • Agile/Scrum experience., • Bachelor’s degree in a STEM field or equivalent industry experience.

Contract length 6 months Rate: $75 - $90/hr Overview A Linux on Z Engineer to support system administration, configuration, and compliance remediation across mainframe environment. The role focuses on Linux on Z, z/VM, and KVM hypervisor management, as well as integration with storage and SAN components. Responsibilities Administer and maintain Linux on Z, z/VM, and KVM environments running within IBM Z mainframes (z15, z16). Excellent collaboration and communication skills. Strong troubleshooting and scripting skills (Bash, Python, Ansible preferred). Understanding of compliance-driven IT environments and change control processes. Working knowledge of IBM DS8K / FlashSystem storage and Brocade SAN operations. Familiarity with KVM on RHEL, IBM HMC, and mainframe virtualization concepts. Proven experience with IBM Z (z15/z16) platforms, Linux on Z, and z/VM environments. Requirements 5+ years of experience as a Linux Systems Engineer or Mainframe Systems Administrator. Contribute to documentation, SOP updates, and control evidence collection. Perform root-cause analysis for issues impacting compliance or performance. Manage connectivity and configuration for DS8K / FlashSystem storage, HMC consoles, and Brocade SAN switches. Collaborate with Security Operations Engineer to plan and execute remediation tasks and document results. Support system hardening, access management, and performance tuning activities. Implement configuration, patching, and security remediation tasks aligned with ESS controls.

Job at a Glance Title: Senior Geospatial Analyst Location: Anaheim, CA Contract: W2 only, 12-month contract with potential for extension or conversion to full time with either the client or CEI Pay: $55-65/hour + optional medical, dental, vision, 401(k) match Overview The client is seeking a Senior Geospatial Analyst to lead GIS program development, enterprise geospatial data management, and support of engineering, construction, utilities, operations, and project teams across the Resort. Key Responsibilities • Manage and maintain content within ArcGIS Enterprise (Portal for ArcGIS), including publishing services, troubleshooting content, and managing user roles and sharing permissions., • Support project teams in developing scopes of work and Requests for Proposals (RFPs) for external consulting resources., • Serve as the geospatial lead on project teams, advocating for spatial needs and coordinating deliverables with project managers, other technical leads, and external vendors., • Ensure spatial data quality and consistency, including enterprise geodatabase data design elements such as schema alignment, domain management, and metadata maintenance., • Build and support automated data workflows using tools such as FME, ArcPy, ModelBuilder, and other tools for ETL processing., • Contribute to the documentation of workflows, publishing protocols, and enterprise GIS governance practices., • Provide technical support to junior GIS staff or non-GIS users, enabling effective use of geospatial applications and tools within the enterprise GIS environment., • Provide materials such as visualizations, analytics, and presentations to support executive decision-making., • Conduct field work to investigate and validate asset locations and conditions across the Resort., • Maintain up-to-date knowledge of industry geospatial products, services, and best practices., • Collaborate with stakeholders to develop and maintain mobile and web-based GIS resources (Field Maps, Experience Builder, Survey123, ArcGIS Solutions, Dashboards, etc.) to enhance communication and operational efficiency., • Partner with internal teams to develop, maintain, communicate, and enforce the client’s design guidelines, standards, master specifications, and details., • Support integrations between GIS and other data management systems such as Autodesk Construction Cloud, Airtable, Maximo, Microsoft 365, and more. Required Skills • Minimum of 7 years of geospatial experience, with demonstrated expertise in an ArcGIS Enterprise environment., • Proven ability to publish and manage content in Portal for ArcGIS, including map/image services, feature services, and web maps/apps., • Experience managing GIS enterprise relational databases., • Proficiency with Esri’s suite of mobile, desktop, web, and server-based ArcGIS products, including ArcGIS Pro, Portal for ArcGIS, Experience Builder, and Field Maps., • Demonstrated experience designing and implementing automation workflows using tools such as FME, SQL, Python, ArcGIS Arcade, ArcGIS Maps SDK for JavaScript, Microsoft Power Automate., • Strong sense of accountability with the ability to take full ownership of work and deliver with minimal oversight., • Solid understanding of GIS fundamentals and concepts, including coordinate systems, data design, cartography, and spatial analytics., • Experience supporting project-based geospatial services in engineering, infrastructure, utilities, or construction environments., • Effective verbal and written communication skills with ability to translate between technical and operational needs., • Enthusiasm for continuous learning and development to support evolving geospatial and digital needs., • Strong problem-solving skills with ability to critically evaluate issues and develop effective solutions., • Experience working collaboratively on teams and supporting multiple concurrent initiatives., • Self-starting collaborator able to bring concepts into physical and digital reality. Preferred Skills • Experience managing and deploying server-side GIS technologies within enterprise IT environments., • Experience with Esri’s Utility Network extension., • Familiarity with underground utility systems., • Ability to read and interpret technical documentation, such as record engineering drawings. About CEI As a trusted technology partner, CEI delivers solutions that help our customers transform their business and achieve meaningful results. From strategy and custom application development through application management - our technology and digital experience services are tailored to meet each unique need of our customers. Our staffing solutions bring specialized skills to complement our customers' workforce and project requirements.

Must have skills • OneTrust platform administration (self-hosted, multi-module ownership), • UCPM / CMP / PIA (privacy & compliance modules), • API integrations & system architecture, • JavaScript (custom front-end logic for consent/known customer management), • .NET web services (platform integrations), • Python (automation / tooling development), • Data privacy & compliance operations (enterprise-scale platform governance) Job Description: We are looking for a Platform Lead to own and evolve the technology ecosystem that powers our enterprise compliance and data privacy operations. In this role, you will serve as the primary technical owner of our self-hosted OneTrust instance and several adjacent compliance technologies. You will partner with multiple business groups—including Compliance, Customer Communications, and Data Privacy Governance (DPG)—to ensure the platform is stable, scalable, and continually improving. This is a hands-on role for someone who is equally comfortable driving platform strategy, managing feature roadmaps, and diving into system architecture, integrations, and configuration details. Daily Tasks Performed: • Own the OneTrust Platform, • Serve as the primary administrator and technical owner of our self-hosted OneTrust environment., • Support three business functions:, • Compliance: UCPM for known customer profile management, DNSS receipts, and CMP for cookie configuration., • Communications/Email Marketing: UCPM for CAN-SPAM compliance and consent management., • DPG: PIA module for data inventory and privacy impact assessments., • Manage integrations with internal APIs and downstream systems., • Maintain the platform lifecycle: updates, patches, major releases, and environment planning., • Own the relationship with OneTrust product support, track escalations, and communicate platform changes., • Maintain the platform enhancement backlog and drive roadmap prioritization., • Support Compliance Technology Beyond OneTrust, • Take technical ownership of custom JavaScript front-end logic for known customer management across authenticated sites., • Support and evolve a .NET web service that brokers communication between OneTrust and internal systems., • Oversee and maintain an internal audit automation capability currently being developed in Python (and potentially lead future enhancements)., • Ensure alignment with enterprise IT operations, architecture, and security standards., • Collaboration & Leadership, • Serve as the central point of coordination across Legal/Compliance, Marketing, Data Privacy, IT Operations, and vendor teams., • Translate business requirements into scalable platform configurations and technical work packages., • Contribute to release planning, operational readiness, and incident/problem management., • Promote best practices in data privacy, compliance operations, and platform governance. What will this person be working on Support Compliance Technology Beyond OneTrust Position Success Criteria (Desired) - 'WANTS' Required • Hands-on experience administering or developing within OneTrust (any modules; platform-wide ownership preferred)., • Strong technical foundation in application/platform administration, API integrations, system configuration, and troubleshooting., • Ability to manage complex stakeholder needs and translate requirements into actionable technical plans. Nice to Have • Experience with UCPM, CMP, PIA, or related privacy/compliance tools., • Background in compliance, data privacy, or digital consent management., • Familiarity with modern web technologies (JavaScript), .NET services, or Python scripting., • Exposure to IT operations, incident/problem management, or release management., • Experience working with Jira for backlog and workflow management., • Knowledge of the automotive industry or large enterprise environments.

Palantir Lead Location : LA ( Los Angeles) -- Onsite role ---Local profiles only No of years’ experience: 10+ years including 4+ years of Palantir experience Detailed job description - Skill Set: Expertise in Palantir Data Foundry, Ontology and Python knowledge. Must have experience with code repository and utility driven development Proficient with Transform API within Foundry Proficient with batch, real time use case realization in foundry using Pipeline builder Proficient with setting up source syncs, health checks and data expectations Must have Implementation experience with objects, links, actions, and functions in the Ontology Must have Ability to structure and relate data using the Object Data Layer. Ability to translate business requirements into operational workflows and user-driven applications Hands on Knowledge on Foundry’s Ontology and data structures Build powerful applications by weaving together objects, links, and actions Understanding of layout principles and user experience to ensure applications are intuitive and visually appealing Ability to design dynamic and interactive workflows, leveraging Workshop’s events system and layouts Implementing complex logic using custom Functions (e.g., Python, TypeScript) within Workshop widgets. Typescript knowledge is must required Recommend solutions to improve new and existing application solutions. Offer support by responding to system problems in a timely manner. Guidance to developers in preparing functional/technical specs to define reporting requirement and ETL process. Technical Skills Palantir Data Foundry, App dev, Type script and pyspark Utilities domain experience Possessing Palantir Foundry Data Engineer Certification is a plus Utility T&D Domain knowledge, Grid modernization Possessing past Palantir proven expertise in implementing mission critical production application is a must Data Modeling, Framework build on Ingestion, Audit, Logging and Reconciliation

2-3 days/week onsite in Manhattan Beach Job Description: We are seeking a skilled Data Engineer with strong experience in business intelligence (BI) and data warehouse development to join our team. In this role, you will design, build, and optimize data pipelines and warehouse architectures that support analytics, reporting, and data-driven decision-making. You will work closely with analysts, data scientists, and business stakeholders to ensure reliable, scalable, and high-quality data solutions. Responsibilities: • Develop and maintain ETL/ELT pipelines for ingesting, transforming, and delivering data., • Design and enhance data warehouse models (star/snowflake schemas) and BI datasets., • Optimize data workflows for performance, scalability, and reliability., • Collaborate with BI teams to support dashboards, reporting, and analytics needs., • Ensure data quality, governance, and documentation across all solutions. Qualifications: • Proven experience with data engineering tools (SQL, Python, ETL frameworks)., • Strong understanding of BI concepts, reporting tools, and dimensional modeling., • Hands-on experience with cloud data platforms (e.g., AWS, Azure, GCP) is a plus., • Excellent problem-solving skills and ability to work in a cross-functional environment.

The primary objective of this position is to serve as a lead GIS specialist for developing and managing the GIS Program by creating and maintaining geospatial data, visualizations, applications, and tools for internal stakeholders. As a Senior Geospatial Analyst, you will oversee the GIS enterprise environment and manage geospatial data related to underground utilities, waterways, equipment, and a wide array of resort assets. This role also involves close collaboration with architecture and engineering disciplines, as well as multiple project teams including FAM, WDI, Environmental Affairs, Safety, Entertainment, Maintenance teams, and Operations. You will report to the Senior Manager, Utility & Sustaining Engineering with DLR Architecture & Facilities Engineering. Responsibilities: • Ecommerce distribution analyst / specialist role., • Support internal and external partners as the “on the ground” resource representing the client in implementing and expanding e-Commerce distribution with an existing third party logistics provider., • Manage and maintain content within ArcGIS Enterprise (Portal for ArcGIS), including (but not limited to) publishing services, troubleshooting content, and managing user roles and sharing permissions., • Support project teams in developing scopes of work and Requests for Proposals (RFPs) for external consulting resources., • Serve as the geospatial lead on project teams, advocating for spatial needs and coordinating deliverables with project managers, other technical leads, and external vendors., • Ensure spatial data quality and consistency, including enterprise geodatabase data design elements such as schema alignment, domain management, and metadata maintenance., • Build and support automated data workflows using tools such as FME, ArcPy, ModelBuilder, and other tools for ETL processing., • Contribute to the documentation of workflows, publishing protocols, and enterprise GIS governance practices., • Provide technical support to junior GIS staff or non-GIS users, enabling effective use of geospatial applications and tools within the enterprise GIS environment., • Provide materials – such as visualizations, analytics, and presentations – to support executive decision-making., • Conduct field work to investigate and validate asset locations and conditions across the Resort., • Maintain up-to-date knowledge of industry geospatial products, services, and best practices., • Collaborate with stakeholders to develop and maintain mobile and web-based GIS resources (e.g., Field Maps, Experience Builder, Survey123, ArcGIS Solutions, Dashboards, etc.) to enhance communication and Resort operational efficiency., • Partner with internal teams to develop, maintain, communicate, and enforce Company design guidelines, standards, master specifications, and details., • Support integrations between GIS and other data management systems such as Autodesk Construction Cloud, Airtable, Maximo, Microsoft 365, and more. Basic Qualifications • Minimum of 7 years of geospatial experience, with demonstrated expertise in an ArcGIS Enterprise environment., • Proven ability to publish and manage content in Portal for ArcGIS, including map/image services, feature services, and web map/apps., • Experience managing GIS enterprise relational databases., • Proficiency with Esri’s suite of mobile, desktop, web, and server-based ArcGIS products, including ArcGIS Pro, Portal for ArcGIS, Experience Builder, and Field Maps., • Demonstrated experience designing and implementing automation workflows using tools such as FME, SQL, Python, ArcGIS Arcade, ArcGIS Maps SDK for JavaScript, Microsoft Power Automate., • Strong sense of accountability with the ability to take full ownership of work, ensuring tasks are completed accurately, on time, and with minimal oversight., • Solid understanding of GIS fundamentals and concepts, including coordinate systems, data design, cartography, and spatial analytics., • Experience supporting project-based geospatial services in engineering, infrastructure, utilities, or construction environments., • Effective verbal and written communication skills with the ability to advocate for GIS and translate between technical and operational needs across internal and external stakeholders., • Enthusiasm for continuous learning and skill development to support the evolving needs of the Resort, as well as the geospatial and digital industries., • Strong problem-solving skills with the ability to critically evaluate problems and develop effective solutions., • Experience working collaboratively on teams and supporting multiple concurrent initiatives., • Self-starting collaborator with the ability to bring concepts into physical and digital reality. Preferred Qualifications • Experience managing and deploying server-side GIS technologies within enterprise IT environments., • Experience with Esri’s Utility Network extension., • Familiarity with underground utility systems., • Ability to read and interpret technical documentation, such as record engineering drawings, to independently solve problems and perform analyses. Required Education • Bachelor’s degree in GIS, Geography, Computer Science, Engineering, or related field, preferred.

Robert Half is partnering with a well known brand seeking an experienced Data Engineer with Databricks experience. Working alongside data scientists and software developers, you’ll work will directly impact dynamic pricing strategies by ensuring the availability, accuracy, and scalability of data systems. This position is full time with full benefits and 3 days onsite in the Woodland Hills, CA area. Responsibilities: • Design, build, and maintain scalable data pipelines for dynamic pricing models., • Collaborate with data scientists to prepare data for model training, validation, and deployment., • Develop and optimize ETL processes to ensure data quality and reliability., • Monitor and troubleshoot data workflows for continuous integration and performance., • Partner with software engineers to embed data solutions into product architecture., • Ensure compliance with data governance, privacy, and security standards., • Translate stakeholder requirements into technical specifications., • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field., • 4+ years of experience in data engineering, data warehousing, and big data technologies., • Proficiency in SQL and experience with relational databases (e.g., PostgreSQL, MySQL, SQL Server)., • Must have experience in Databricks., • Experience working within Azure or AWS or GCP environment., • Familiarity with big data tools like Spark, Hadoop, or Databricks., • Experience in real-time data pipeline tools., • Experienced with Python

Required Education • Bachelor's degree in GIS, Geography, Computer Science. Basic Qualifications • Minimum of 7 years of geospatial experience, with demonstrated expertise in an ArcGIS Enterprise environment., • Proven ability to publish and manage content in Portal for ArcGIS, including map/image services, feature services, and web map/apps., • Experience managing GIS enterprise relational databases., • Proficiency with Esri's suite of mobile, desktop, web, and server-based ArcGIS products, including ArcGIS Pro, Portal for ArcGIS, Experience Builder, and Field Maps., • Demonstrated experience designing and implementing automation workflows using tools such as FME, SQL, Python, ArcGIS Arcade, ArcGIS Maps SDK for JavaScript, Microsoft Power Automate., • Strong sense of accountability with the ability to take full ownership of work, ensuring tasks are completed accurately, on time, and with minimal oversight., • Solid understanding of GIS fundamentals and concepts, including coordinate systems, data design, cartography, and spatial analytics., • Experience supporting project-based geospatial services in engineering, infrastructure, utilities, or construction environments., • Effective verbal and written communication skills with the ability to advocate for GIS and translate between technical and operational needs across internal and external stakeholders., • Enthusiasm for continuous learning and skill development to support the evolving needs of the Resort, as well as the geospatial and digital industries., • Strong problem-solving skills with the ability to critically evaluate problems and develop effective solutions., • Experience working collaboratively on teams and supporting multiple concurrent initiatives., • Self-starting collaborator with the ability bring concepts into physical and digital reality., • Bachelor's degree in GIS, Geography, Computer Science, Engineering, or related field, preferred.

Sepal AI builds the world’s hardest tests for AI grounded in real-world software systems. We’re hiring a Data Engineer with 3+ years of experience and a strong systems mindset to help us build evaluation environments for AI in high-throughput log analysis contexts.\n\n🧠 What You’ll Do\n - Design and implement analytical schemas and pipelines using tools like BigQuery, ClickHouse, Snowflake, Redshift, and other high-performance columnar databases.\n - Work on complex, distributed queries over massive log and telemetry datasets.\n - Create and manage synthetic datasets that simulate real-world DevOps, observability, or cloud infrastructure logs.\n - Tune and optimize distributed query execution plans to avoid timeouts and reduce over-scanning.\n\n✅ Who You Are\n - 3+ years of experience in data engineering or backend systems roles.\n - Deep expertise in analytical databases and OLAP engines with a focus on large-scale query optimization, schema design, and performance tuning.\n - Hands-on with log ingestion pipelines (e.g., FluentBit, Logstash, Vector) and schema design for observability systems.\n - Strong SQL skills: you know how to reason through performance problems and spot inefficient query patterns.\n - Bonus: Experience with Python, Docker, or synthetic data generation.\n\n💸 Pay\n$50 - 85/hr depending on experience\nRemote, flexible hours\nProject timeline: 5-6 weeks

Senior Software Engineer – Ad Platform Machine Learning We’re looking for a Senior Software Engineer to join our Ad Platform Decisioning & Machine Learning Platform team. Our mission is to power the Company’s advertising ecosystem with advanced machine learning, AI-driven decisioning, and high-performance backend systems. We build end-to-end solutions that span machine learning, large-scale data processing, experimentation platforms, and microservices—all to improve ad relevance, performance, and efficiency. If you’re passionate about ML technologies, backend engineering, and solving complex problems in a fast-moving environment, this is an exciting opportunity to make a direct impact on next-generation ad decisioning systems. What You’ll Do • Build next-generation experimentation platforms for ad decisioning and large-scale A/B testing, • Develop simulation platforms that apply state-of-the-art ML and optimization techniques to improve ad performance, • Design and implement scalable approaches for large-scale data analysis, • Work closely with researchers to productize cutting-edge ML innovations, • Architect distributed systems with a focus on performance, scalability, and flexibility, • Champion engineering best practices including CI/CD, design patterns, automated testing, and strong code quality, • Contribute to all phases of the software lifecycle—design, experimentation, implementation, and testing, • Partner with product managers, program managers, SDETs, and researchers in a collaborative and innovative environment Basic Qualifications • 4+ years of professional programming and software design experience (Java, Python, Scala, etc.), • Experience building highly available, scalable microservices, • Strong understanding of system architecture and application design, • Knowledge of big data technologies and large-scale data processing, • Passion for understanding the ad business and driving innovation, • Enthusiastic about technology and comfortable working across disciplines Preferred Qualifications • Domain knowledge in digital advertising, • Familiarity with AI/ML technologies and common ML tech stacks, • Experience with big data and workflow tools such as Airflow or Databricks Education • Bachelor’s degree plus 5+ years of relevant industry experience Role Scope You’ll support ongoing initiatives across the ad platform, including building new experimentation and simulation systems used for online A/B testing. Media industry experience is not required. Technical Environment • Java & Spring Boot for backend microservices, • AWS as the primary cloud environment, • Python & Scala for data pipelines running on Spark and Airflow, • Candidates should be strong in either backend microservices or data pipeline development and open to learning the other, • API development experience is required Interview Process • Round 1: Technical & coding evaluation (1 hour), • Round 2: Technical + behavioral interview (1 hour), • Candidates are assessed on technical strength and eagerness to learn.

Job Title: IT System -Infrastructure Technology Engineer Location: San Pedro, CA Contract to hire This position is based in San Pedro, CA and its 100% onsite. Summary of Job • Proven experience in Datacenter infrastructure management, CISCO and DELL infrastructure, Virtualization with VMWare., • Good capability, understanding of systems infrastructure administration, configuration, licensing, deployment process and support., • Experience with running automated patching process, management of infrastructure assets and firmware., • Experience with Nutanix, with hyperconverged platforms is an advantage., • Understanding of Continuous Improvement/LEAN/Six Sigma., • Understanding of administrating DELL Tanzu stack, Kubernetes clusters and its virtualization. About the Role We are seeking an experienced System Administrator to join our IT Infrastructure team at our container terminal operations. This role is critical to maintaining and optimizing the technology systems that support our 24/7 port operations, ensuring high availability and performance of systems that enable cargo handling, vessel operations, and terminal management. Key Responsibilities Virtualization & Infrastructure Management • Manage and maintain VMware vSphere environments, including ESXi hosts, vCenter Server, and related components, • Perform capacity planning, performance tuning, and optimization of virtualized infrastructure, • Deploy, configure, and troubleshoot virtual machines to support terminal operations, • Manage hyperconverged infrastructure platforms including vSAN deployments, • Support Nutanix environments and assist with expansion projects Server Administration • Administer Windows Server environments (2016 through 2025), including Active Directory, DNS, DHCP, and Group Policy, • Manage and support Linux systems (Ubuntu and RHEL distributions) for various operational applications, • Implement security patches, updates, and configuration changes across server estate, • Monitor system performance and proactively address capacity and performance issues Storage & Infrastructure • Manage SAN/NAS storage systems, including provisioning, monitoring, and capacity management, • Configure and maintain Fibre Channel and iSCSI storage connectivity for ESXi hosts and physical servers, • Troubleshoot storage performance issues and optimize storage network configurations, • Manage LUN provisioning, zoning, and multipathing configurations, • Support backup and disaster recovery solutions, • Work with Cisco UCS compute platforms for infrastructure deployments, • Participate in infrastructure refresh and upgrade projects Operational Support • Provide Level 2/3 support for infrastructure-related incidents and service requests, • Participate in on-call rotation to support 24/7 terminal operations, • Document systems, procedures, and infrastructure configurations, • Collaborate with network, security, and application teams on integrated solutions, • Support disaster recovery planning and testing activities Required Qualifications • 3-5 years of experience in system administration roles, • Strong hands-on experience with VMware vSphere (ESXi, vCenter), • Proficiency with Windows Server administration (2016 or newer), • Solid experience with Linux administration (Ubuntu and/or RHEL), • Understanding of storage technologies including SAN/NAS concepts and protocols (Fibre Channel, iSCSI, NFS), • Experience with scripting and automation (PowerShell, Bash, Python), • Strong troubleshooting and problem-solving skills, • Excellent documentation practices, • Ability to work in a 24/7 operational environment with on-call responsibilities Preferred Qualifications • Experience in maritime, logistics, or industrial/operational environments, • Hands-on experience with hyperconverged infrastructure (vSAN, Nutanix), • Familiarity with Cisco UCS platform (UCS Manager, Fabric Interconnects), • Experience with Fibre Channel switching and fabric management, • Knowledge of iSCSI best practices and performance tuning, • VMware VCP certification, • Red Hat Certified System Administrator (RHCSA) or similar Linux certification, • Experience with infrastructure monitoring tools, • Knowledge of container technologies (Docker, Kubernetes), • Understanding of high-availability and disaster recovery design principles A reasonable, good faith estimate of the minimum and maximum base salary for this position is $170 K to $190 K per year Benefits: Comprehensive benefits including medical, dental, vision, disability, life and AD&D insurance, retirement savings with company match, paid parental and transitional leave, PTO, wellness programs, tuition reimbursement, adoption assistance, and an Employee Assistance Program—supporting colleagues and families across health, financial, and work-life needs. • The pay range listed above reflects the expected starting salary /Pay rate for this role. This range may be adjusted based on market conditions, location, and other relevant factors. The Company will determine the final starting salary/Pay rate in consultation with the selected candidate(s), in full compliance with applicable laws

Title: Qualtrics Developer Location: Torrance, CA (4 days/week onsite along with 1 day/week remote) Duration: 12 Months Rate: $76/hr on W2 Required Skills and Expertise: • Qualtrics Platform Expertise, • Advanced configuration of surveys, branching, logic, quotas, and embedded data., • Dashboard creation, segmentation, and calculated fields in Qualtrics XM., • XM Directory management and automation of panel invitations., • Experience with Qualtrics Workflows, Actions, and Webhooks for automation., • Deployment and maintenance of Website Feedback and Mobile SDK integrations., • APIs & Integrations, • Proficient with Qualtrics API and RESTful integrations for data retrieval, updates, and exports., • Experience with connecting Qualtrics to Salesforce, AWS S3, BigQuery, Snowflake, or Adobe Experience Platform., • Understanding of authentication (OAuth2), API rate limits, and error handling., • Knowledge of data pipeline orchestration and real-time streaming setups., • Programming & Automation, • Strong scripting ability in Python (Pandas, Requests, NumPy) and SQL for ETL or automation., • Familiarity with PowerShell or Bash scripting for batch automation., • Experience validating, reconciling, and automating data transfers between systems., • Data Analysis & Reporting, • Skilled at upstream data analysis, data cleaning, and building analytical datasets., • Proficient with Excel and Google Sheets (pivot tables, formulas, lookups)., • Experience using Power BI, Tableau, or Google Data Studio for visualization., • Ability to interpret survey data in business context (NPS, CSAT, driver analysis)., • QA and validation of vendor-produced reports or dashboards., • Backlog & Operational Management, • Creating and managing business and system requirements for surveys, dashboards, and, • integrations., • Experience managing a backlog of production incidents, business requirements, and, • integration work., • Prioritization of requests based on business value and urgency., • Incident management and troubleshooting production issues., • Documentation and communication of technical issues to non-technical stakeholders., • Soft Skills & Cross-Functional Collaboration, • Excellent communication skills for bridging business and technical teams., • Strong troubleshooting and problem-solving mindset., • Capable of managing multiple workstreams simultaneously in Agile (Scrum / Kanban), • environments., • Ability to provide direction and feedback to vendors., • Detail-oriented with a focus on data accuracy and quality assurance

Role: Sr Technical Lead Duration: 12+ Month Contract Location: Torrance, CA (4 days Onsite) Daily Tasks Performed: • Lead the design, development, and deployment of a scalable, secure, and high-performance CDP SaaS product., • Architect solutions that integrate with various data sources, APIs, and third-party platforms., • Design, develop, and optimize complex SQL queries for data extraction, transformation, and analysis, • Build and maintain workflow pipelines using Digdag, integrating with data platforms such as Treasure Data, AWS, or other cloud services, • Automate ETL processes and schedule tasks using Digdag's YAML-based workflow definitions, • Ensure best practices in software engineering, including code reviews, testing, CI/CD, and documentation., • Oversee data privacy, security, and compliance initiatives (e.g., GDPR, CCPA)., • Ensure adherence to security, compliance, and data governance requirements., • Oversee development of real-time and batch data processing systems., • Collaborate with cross-functional teams including data analysts, product managers, and software engineers to translate business requirements into technical solutions, • Collaborate with the stakeholders to define technical requirements to align technical solutions with business goals and deliver product features., • Mentor and guide developers, fostering a culture of technical excellence and continuous improvement., • Troubleshoot complex technical issues and provide hands-on support as needed., • Monitor, troubleshoot, and improve data workflows for performance, reliability, and cost-efficiency as needed, • Optimize system performance, scalability, and cost efficiency. What this person will be working on: As the Senior Technical Lead for our Customer Data Platform (CDP), the candidate will define the technical strategy, architecture, and execution of the platform. They will lead the design and delivery of scalable, secure, and high-performing solutions that enable unified customer data management, advanced analytics, and personalized experiences. This role demands deep technical expertise, strong leadership, and a solid understanding of data platforms and modern cloud technologies. It is a pivotal position that supports the CDP vision by mentoring team members and delivering solutions that empower our customers to unify, analyze, and activate their data. Position Success Criteria (Desired) - 'WANTS' • Bachelor's or Master's degree in Computer Science, Engineering, or related field., • 8+ years of software development experience, with at least 3+ years in a technical leadership role., • Proven experience building and scaling SaaS products, preferably in customer data, marketing technology, or analytics domains, • Extensive hands-on experience with Presto, Hive, and Python, • Strong proficiency in writing complex SQL queries for data extraction, transformation, and analysis, • Familiarity with AWS data services such as S3, Athena, Glue, and Lambda, • Deep understanding of data modeling, ETL pipelines, workflow orchestration, and both real-time and batch data processing, • Experience ensuring data privacy, security, and compliance in SaaS environments, • Knowledge of Customer Data Platforms (CDPs), CDP concepts, and integration with CRM, marketing, and analytics tools, • Excellent communication, leadership, and project management skills, • Experience working with Agile methodologies and DevOps practices, • Ability to thrive in a fast-paced, agile environment, • Collaborative mindset with a proactive approach to problem-solving, • Stay current with industry trends and emerging technologies relevant to SaaS and customer data platforms.

Robert Half is partnering with a well known high tech company seeking an experienced Data Engineer with strong Python and SQL skills. The primary duties involve managing the complete data lifecycle and utilizing extensive datasets across marketing, software, and web platforms. This position is full time with full benefits and 3 days onsite in the Culver CIty area. Responsibilities: • 4+ years of professional experience ideally in a combination of data engineering and business intelligence., • Working heavily with SQL and programming in Python., • Ownership mindset to oversee the entire data lifecycle, including collection, extraction, and cleansing processes., • Building reports and data visualization to help advance business., • Leverage industry-standard tools for data integration such as Talend., • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field., • 5+ years of experience in data engineering, data warehousing, and big data technologies., • Proficiency in SQL and experience with relational databases (e.g., PostgreSQL, MySQL, SQL Server) and NoSQL Technologies., • Experience working within GCP environments and AWS., • Experience in real-time data pipeline tools., • Hands-on expertise with Google Cloud services including BigQuery., • Deep knowledge of SQL including Dimension tables and experienced in Python programming.

This role is critical for leading our flagship platform implementations, owning the Standard Data Model, and driving data quality across the platform. This role is critical for the successful onboarding of customers onto our proprietary mortgage servicing platform by owning the strategy, execution, and quality of all data-related workstreams. This candidate will also drive the Standard Data Model, including defining and maintaining the data dictionary, as well as working through schema versioning to support new loan types and features. This person is also responsible for driving data quality, leading ongoing data QA, reconciling between systems, and continuously improving our platform's conversion tooling in between major customer projects. We require a seasoned leader who can define the standards and execute creative, practical solutions to novel data challenges. A Typical Day: During an active implementation: • You work closely with technical leads and the customer working team to define architecture, data mappings, validation, cutover, and reconciliation, • You serve as the primary internal coordinator to ensure the customer integration's data mapping efforts are aligned with the new company Standard Data Model, • You are responsible for translating requirements into a testable design and ensuring all data activities meet security, compliance, and performance needs, • You actively collaborate with the Product and Engineering teams to define and test the system upgrades necessary to successfully onboard loans, • You write, run, and fix the tools and processes needed to execute the data migration, focusing on data quality and completeness, • You maintain rigorous governance over the data workstream, keeping an impeccable decision log for data mappings and cutover plans, • You lead efforts to expand and maintain the Standard Data Model and the platform's data dictionary, including adding or refining fields as the product expands (e.g., new loan types, features) and working on schema versioning, • You continuously build and improve the core data migration and quality tooling, such as SQL automation, Python/ETL frameworks, automated data-quality pipelines, and data-reconciliation frameworks, • You design and execute mapping and validation for smaller data transfers, such as onboarding additional portfolios for existing clients, co-issue MSR boardings, or monthly flow transfers, • You lead ongoing data QA, reconciliation between source-of-truth systems, and backfills when new product features require historical data population or internal migrations, • You leverage your deep data knowledge to review schema designs, run test migrations, and validate data models for new system features in partnership with Engineering and Product, • You contribute to the Implementation Playbook by formalizing data migration runbooks, templates, and repeatable validation practices The Data Implementation Manager will: • Own End-to-End Data Execution: Lead all data-related activities from discovery through hypercare, including requirements gathering, solution design, migration, and post-cutover reconciliation, • Drive Data Model Alignment: Act as the internal liaison to support customer data integration and migration strategy, as well as owning the maintenance, documentation, and versioning of the internal Standard Data Model to align with product and investor requirements, • Design and Execute Data Migration: Personally lead critical data workstreams, defining the data mapping, data conversion rules, validation rules, and the full data cutover plan in partnership with internal and client technical teams, • Contribute to Product Upgrade: Play a key role in the process to build out core system functionality, ensuring the platform is upgraded to successfully support the full scope of external customer’s loan portfolio. This includes performing internal migrations for schema upgrades or platform refactors, • Ensure Data Quality and Compliance: Hold SLAs on defect leakage and stability , and design and execute testing plans to ensure accuracy, completeness, and adherence to security and compliance standards. This also involves supporting investor compliance and reporting requirements, • Formalize Data Runbooks: Contribute to the Implementation Playbook by formalizing data migration runbooks, templates, and repeatable validation practices, • Manage Schedule and Risk: Control the critical path, proactively manage data-related risks, and secure timely decisions from internal and client executives What You’ll Bring: • Deep Integration and Data Expertise: Comfort with technical concepts like REST/webhooks/SFTP/event streams, data mapping, validation, and cutover, • Experience in Enterprise Data Delivery: At least 5+ years leading implementations of complex systems of record (ERP, CRM, billing, core platforms), with a focus on data pipelines, • Tool Proficiency: Expertise in Jira/Confluence, SQL, Python, and various other ETL tooling, • Program Leadership and Coordination: Skilled with exec steering, scope negotiation, and risk control, coordinating efforts across internal product/engineering teams and external client teams, • Clear, Concise Communication: Proven ability to run efficient meetings and keep impeccable decision logs, ensuring all constituents are brought along with rigorous discipline, • Financial Services Fluency (A Plus): Experience in fintech, payments, lending, mortgage servicing, or other regulated industry where data accuracy / sensitivity is critical strengthens your fit

Full Stack Engineer – Cutting-Edge Satellite Software - Hybrid - Denver or Los Angeles Are you ready to help shape the future of space technology? We’re partnered with a pioneering company that is building scalable software solutions to manage and optimise satellite operations. What you’ll be doing As a Full Stack Developer, you’ll join a cross-functional engineering team, working on backend and frontend systems that support thousands of satellites. This includes: • Developing APIs and integrating with AWS services (EC2, S3, Lambda, RDS, EKS, Fargate)., • Building scalable, secure, and cost-efficient cloud-native applications., • Collaborating with operators, product managers, and fellow engineers to create robust tools for mission success., • Driving automation, CI/CD improvements, and containerised deployments. Tech you’ll use • Python, GraphQL, Docker, Terraform (or similar IaC tools), • React (Typescript), Next.js, and modern frontend frameworks, • Kubernetes and serverless architecture, • GitHub/GitLab for version control and CI/CD What we’re looking for • 4+ years’ experience in backend, full stack, or DevOps engineering, • Strong experience with cloud environments (AWS preferred), • Familiarity with distributed systems, databases, and API design, • A proactive self-starter who thrives in dynamic, fast-paced teams, • Must have an active TS/SCI Clearance What’s on offer • Hybrid working (2 days onsite in either Denver, CO or Los Angeles, CA), • Competitive salary and full health coverage, • 401(k) match and generous PTO policy, • Regular company offsites, wellness perks, and a collaborative team culture This is an exciting opportunity to join a mission-driven team revolutionising satellite operations. Interested? Apply now or reach out directly to Ciara Holmes at EVONA to learn more.

Role: Network Manager Job Type: Fulltime Location: Los Angeles, California Role Overview The Tech Lead will lead network operations and automation initiatives, ensuring robust customer management and technical excellence. This role requires deep expertise in enterprise network administration, automation, and a proven ability to interface with customers, vendors, and internal teams to deliver high-quality service. Key Responsibilities • Oversee and optimize LANs, WANs, VMs, and virtual networks, including routers, switches, firewalls, and load balancers., • Lead automation projects to streamline network operations, improve efficiency, and reduce manual intervention., • Manage customer relationships, ensuring high satisfaction through proactive communication, issue resolution, and tailored solutions., • Negotiate and coordinate with vendors, outsourcers, and contractors for timely and effective delivery of network products and services., • Recommend and implement improvements to network architecture and technology portfolio, with a focus on automation and scalability., • Ensure successful installation, configuration, migration, and ongoing support of network infrastructure., • Drive adherence to ITIL processes and SLAs, monitoring team performance and maintaining service quality., • Perform root cause analysis, troubleshoot technical issues, and define/maintain operational processes., • Lead and mentor technical teams, identifying skill gaps and planning training for continuous improvement., • Manage network monitoring and management tools (e.g., SolarWinds, Moogsoft), and ensure accurate CMDB updates in ServiceNow., • Provide Level-3 support, handle escalations, and participate in on-call rotations., • Oversee inventory management for all network devices and ensure compliance with security and business continuity standards., • Participate in Change Advisory Board (CAB) meetings and represent the team in cross-functional forums., • Document technical procedures, contribute to knowledge management, and drive operational excellence. Technical Skills & Experience • 15+ years in network administration within large enterprise environments., • Strong hands-on experience with Cisco routers, switches (ASR, ISR, CAT, Nexus 2k/5k/7k/9k), Firepower firewalls, and F5 load balancers (LTM, GTM, ASM, AFM, APM)., • Proficiency in network monitoring tools (SolarWinds, Moogsoft, Algosec), ServiceNow, and Jira., • Deep understanding of static and dynamic routing protocols (EIGRP, OSPF, BGP, ISIS, Multicast, Unicast)., • Experience with automation tools and scripting for network operations (e.g., Python, Ansible, or similar)., • Familiarity with cloud networking (AWS, Azure) is a plus., • Expertise in disaster recovery, business continuity, and network security best practices., • Strong troubleshooting skills, including packet capture/analysis (Wireshark)., • Experience in designing and documenting complex changes/projects (POA, RFO, RCA). Customer Management & Soft Skills • Excellent verbal and written communication skills., • Proven ability to manage customer relationships, handle escalations, and deliver results under pressure., • Strong documentation and knowledge-sharing skills., • High level of acceptance and adaptability to changing business needs., • Ability to work in 24x7 rotational shifts, including weekends and holidays., • Comfortable working with US-based customers and teams. Certifications • ITIL v4, • CCNP-R&S or equivalent, • CISSP, CISM, CCSP (preferred), • OEM-specific certifications (Cisco, etc.) Disclaimer HCL is an equal opportunity employer, committed to providing equal employment opportunities to all applicants and employees regardless of race, religion, sex, color, age, national origin, pregnancy, sexual orientation, physical disability or genetic information, military or veteran status, or any other protected classification, in accordance with federal, state, and/or local law. Should any applicant have concerns about discrimination in the hiring process, they should provide a detailed report of those concerns to for investigation. Compensation and Benefits A candidate’s pay within the range will depend on their work location, skills, experience, education, and other factors permitted by law. This role may also be eligible for performance-based bonuses subject to company policies. In addition, this role is eligible for the following benefits subject to company policies: medical, dental, vision, pharmacy, life, accidental death & dismemberment, and disability insurance; employee assistance program; 401(k) retirement plan; 10 days of paid time off per year (some positions are eligible for need-based leave with no designated number of leave days per year); and 10 paid holidays per year.

Sr. ETL Developer Remote 3-6 Month Contract JPC - 19746 Solugenix is assisting a client, a health insurance company, in their search for a Sr. ETL Developer. This is a 3-6 month contract opportunity. The Senior ETL-Data Integration Developer is responsible for the operational support of the Informatica environment, including but not limited to automation, job scheduling, dependencies, monitoring and maintenance of ETL mappings, mapplets, and documentation. This position will manage, administer and work with ETL administration in addressing systems performance, including ongoing optimization and tuning of the Informatica environment. The Senior ETL-Data Integration developer will develop reliable and complex ETL processes to support new development of the Enterprise Data Warehouse, Data Marts and other Business Intelligence projects. This position will also assist the Data Warehouse team in completing current Data Warehouse initiative projects. This position will also perform the duties to analyze and evaluate the data sources and data targets required for the ETL mapping. Design, develop and implement complex ETL processes. It will also support and participate in source data analysis, specifically as it relates to domain definitions. Qualifications: • Major: Preferred: Bachelor's Degree in Statistics, Math, Business Systems or Master's Degree with 5 years of experience in the Informatica ETL Developer role in Data Warehouse projects, Enterprise Data Warehouse, OLAP and dimensional data modeling., • Years of direct/relevant experience required: 5 to 7 years of experience. Responsibilities: • Responsible for the operational support of the Informatica environment, including but not limited to automation, job scheduling, dependencies, monitoring, maintenance, patches, upgrades, security, and administration., • Administers systems performance, including ongoing optimization and tuning of the Informatica environment., • Assist the data warehouse team in completing current data warehouse initiative projects., • Analyze and evaluate data sources., • Designs and implements complex ETL processes., • Strong technical background and work experience with one or more of these: Informatica/SSIS/PL/SQL., • Advanced level of knowledge with one or more of these systems: QNXT/CCA/EDIFECS/Syntranet., • Experience with PostgreSQL/Python/Therefore., • Experience with IICS/IDMC is mandatory. Must Have & Desired Skills: • Primarily looking for Experienced IDMC developer., • Healthcare experience is preferred., • Snowflake experience is big plus., • Power BI experience is another added advantage. Pay Range for CA, CO, IL, NJ, NY, WA, and DC: $63/hour to $68/hour. Starting rate of pay offered may vary depending on factors including but not limited to, position offered, location, education, training, and/or experience. Solugenix will consider qualified applicants with a criminal history pursuant to the California Fair Chance Act and Ordinance. Applicants do not need to disclose their criminal history or participate in a background check until a conditional job offer is made to you. After making a conditional offer and running a background check, if we are concerned about conviction that is directly related to the job, applicants will be given the chance to explain the circumstances surrounding the conviction, provide mitigating evidence, or challenge the accuracy of the background report. About the Client Our client is one of the world's leading health insurance company based out of Los Angeles, CA. About Solugenix Solugenix is a leader in IT services, delivering cutting-edge technology solutions, exceptional talent, and managed services to global enterprises. With extensive expertise in highly regulated and complex industries, we are a trusted partner for integrating advanced technologies with streamlined processes. Our solutions drive growth, foster innovation, and ensure compliance—providing clients with reliability and a strong competitive edge. Recognized as a 2024 Top Workplace, Solugenix is proud of its inclusive culture and unwavering commitment to excellence. Our recent expansion, with new offices in the Dominican Republic, Jakarta, and the Philippines, underscores our growing global presence and ability to offer world-class technology solutions. Partnering with Solugenix means more than just business—it means having a dedicated ally focused on your success in today's fast-evolving digital world.

City: Glendale, CA Onsite/ Hybrid/ Remote: Onsite (4 days a week) Duration: 12 months Rate Range: Up to$107/hr on W2 depending on experience (no C2C or 1099 or sub-contract) Work Authorization: GC, USC, All valid EADs except OPT, CPT, H1B Must Have: ● Snowflake ● Bedrock ● Python ● SQL ● AI/ML libraries and frameworks ● Experience designing and delivering AI solutions ● RAG and multi-agent architectures ● Cloud deployment (AWS, Azure, GCP) Responsibilities: ● Partner with business teams to understand goals, use cases, and challenges. ● Lead discovery, feasibility checks, and prioritization for AI initiatives. ● Architect end-to-end Generative AI solutions, including model selection, training, and deployment. ● Build and optimize Generative AI applications using Python, SQL, and modern AI frameworks. ● Design and implement RAG pipelines, vector stores, and multi-agent workflows. ● Run PoCs and pilots to validate technical and business impact. ● Evaluate new AI technologies and ensure alignment with best practices. ● Provide guidance to keep solutions scalable, secure, and aligned with business needs. Qualifications: ● 7+ years of experience in AI/ML and software development. ● Strong background in building scalable Generative AI systems. ● Proficiency in Python, SQL, and modern AI frameworks. ● Hands-on experience with Snowflake and cloud platforms. ● Experience with LangChain, LangGraph, Crew AI, or similar tools. ● Skilled in query optimization, testing, and performance tuning. ● Strong communication and collaboration skills. ● Bachelor’s degree in Computer Science, Engineering, or related field, or equivalent experience.

Title: Sr/Lead Golang/Python Developer Location: Pasadena, CA (Hybrid/Onsite - local candidates preferred) Duration: 6+ Months to support Telephony application requirements. Must Haves: • 4-yr Technical Degree (CS or related) AND, • 8 yrs of IT/Engineering AND, • 4+ yrs of backend programming & API (Go & NoSQL/Mongo) AND, • 3+ yrs of Python/Bash scripting AND, • 2+ yrs of building or working with scalable apps (Kubernetes / Docker) AND, • 2+ yrs of designing, Installing, Configuring, Maintaining, and troubleshooting VOIP (SIP) servers, infrastructure, and applications., • 2+ yrs of mentoring Jr. staff (code review, work dissemination, etc)

Key Responsibilities and Outcomes: -System Administration: Maintain, configure, and monitor internal servers, virtual machines, and cloud-based infrastructure (e.g., ). -Network Management: Ensure stable and secure network operations, including firewalls, VPNs, switches, and wireless access points. -ERP Infrastructure Support: Deploy and maintain backend infrastructure for ERP software, including databases (e.g., MS SQL Server), application servers, and storage solutions. -Security and Compliance: Implement and enforce IT security policies, patch management, vulnerability scanning, and compliance with data protection regulations (e.g., GDPR, SOC 2). -Disaster Recovery & Backup: Develop, test, and maintain disaster recovery plans and data backup strategies to ensure business continuity. -User Support & Onboarding: Provide Tier 2/3 technical support, onboarding/offboarding of employees, and maintain IT asset inventory. -Automation & Optimization: Use scripting (e.g., PowerShell, Bash, Python) and automation tools to streamline system administration tasks and improve efficiency. -Monitoring & Reporting: Monitor system performance and generate reports on uptime, resource utilization, and security alerts. -Vendor Management: Coordinate with third-party vendors for hardware, software, and service support. Core Competencies: -Problem Solving & Troubleshooting – Quickly identify root causes and resolve system or network issues with minimal disruption. -Attention to Detail – Maintain high accuracy in configuration, documentation, and system logs. -Collaboration & Communication – Work effectively with cross-functional teams, including software developers, QA engineers, and support staff. -Adaptability – Thrive in a fast-changing tech environment with evolving tools and priorities. -Security Awareness – Maintain a strong focus on cybersecurity best practices. Skills and Accomplishments: -Demonstrated experience managing ERP system environments (preferably SAP, Oracle, NetSuite, Odoo, or Microsoft Dynamics). -Proven success in maintaining >99.9% system uptime across production environments. -Experience implementing IT security measures that passed regulatory audits or reduced vulnerabilities. -Successfully deployed automation scripts/tools that improved infrastructure reliability or saved time. -Led or contributed to cloud migration, virtualization, or infrastructure modernization projects. Qualifications: -Education: • Microsoft Certified: Azure Administrator Associate, • AWS Certified SysOps Administrator, • CompTIA Network+ / Security+, • 3–5 years of experience as a systems administrator or IT infrastructure, • Windows Server and/or Linux Administration, • Virtualization technologies (VMware, Hyper-V, KVM), • Networking (TCP/IP, DNS, DHCP, firewalls, VLANs), • Cloud platforms (Azure, AWS, or GCP)

Yoh has an exciting opportunity for a Senior BIM Manager (4D Fuzor Required) to join our Global Entertainment client. The ideal candidate will have 6+ years of relevant working experience and live within a commutable distance to the office in Glendale, CA for a hybrid work environment (4 days in office). See below for abbreviated job responsibilities and requirements. If after reviewing, you are interested in learning more about this, or other opportunities, please apply with your updated resume ASAP. Title: Senior BIM Manager (4D Fuzor) Compensation: $100-125/hr Type: 36-Month Contract Industry: Entertainment Overview The Senior BIM Manager will lead the implementation and advancement of Building Information Modeling (BIM) and Virtual Design & Construction (VDC) technologies across large-scale, multidisciplinary design and construction projects. The role focuses on integrating 3D and 4D modeling processes, driving innovation in digital project delivery, and supporting the full lifecycle of major built-environment initiatives—from concept through construction and turnover. This position reports to the Design & Construction Technology Manager and collaborates directly with project leadership teams, including design, engineering, and construction management stakeholders. The successful candidate will bring deep technical expertise in BIM and 4D visualization, a collaborative mindset, and strong communication skills to foster technology adoption and excellence in project delivery. Key Responsibilities • Partner with project leadership to implement BIM and VDC strategies supporting all phases of project development., • Develop and manage 4D simulation models using Fuzor or equivalent tools, integrating 3D geometry with scheduling data to visualize construction sequencing., • Support planning and coordination teams with ongoing updates to 4D models throughout the project lifecycle., • Lead advanced site simulations and visual analyses to improve project execution and communication., • Establish and oversee model management standards, ensuring efficient model performance and interoperability across platforms., • Coordinate multi-discipline BIM collaboration workflows using tools such as Autodesk Revit, Navisworks, and BIM 360/ACC., • Provide hands-on technical support and mentorship to project teams in model authoring, data management, and visualization techniques., • Develop and implement model-based coordination strategies aligned with project goals and best practices., • Represent project technology interests with internal and external stakeholders, advocating for digital construction innovation., • Document and share lessons learned to refine organizational BIM/VDC methodologies., • Maintain model health, data consistency, and proper setup of collaborative environments across all project systems., • Contribute to deployment strategies for new software tools and digital workflows to enhance design and construction integration. Qualifications Required: • Bachelor’s degree in Architecture, Engineering, Construction Management, or related field., • Minimum 6 years of progressive BIM/VDC management experience on large, complex projects., • Proven expertise with Fuzor 4D (or comparable 4D simulation platforms) for integrating design models and construction schedules., • Advanced proficiency in Autodesk Revit, Navisworks, and BIM 360/ACC platforms., • Strong understanding of model coordination, clash detection, and data-driven workflows., • Demonstrated success implementing BIM/VDC strategies that enhance project performance and collaboration., • Excellent communication and presentation skills; comfortable leading discussions and training sessions across teams., • Ability to troubleshoot complex model and visibility issues within Revit and Navisworks environments., • Experience developing and enforcing Level of Development (LOD) standards for project deliverables., • Skilled in managing multi-trade coordination and complex 3D/4D data exchanges. Preferred: • Advanced knowledge of Rhino, Grasshopper, Dynamo, Python, or other visual scripting tools., • Experience with SolidWorks, SketchUp, Maya, or Civil 3D for specialty modeling., • Familiarity with parametric modeling, data integration, and digital twin workflows., • Strong understanding of project controls—scope, schedule, and budget alignment., • Prior experience supporting large creative, entertainment, or technically complex building programs., • Working knowledge of reality capture or laser scanning technologies. Estimated Min Rate: $87.50 Estimated Max Rate: $125.00 What’s In It for You? We welcome you to be a part of the largest and legendary global staffing companies to meet your career aspirations. Yoh’s network of client companies has been employing professionals like you for over 65 years in the U.S., UK and Canada. Join Yoh’s extensive talent community that will provide you with access to Yoh’s vast network of opportunities and gain access to this exclusive opportunity available to you. Benefit eligibility is in accordance with applicable laws and client requirements. Benefits include: • Medical, Prescription, Dental & Vision Benefits (for employees working 20+ hours per week), • Health Savings Account (HSA) (for employees working 20+ hours per week), • Life & Disability Insurance (for employees working 20+ hours per week), • MetLife Voluntary Benefits, • Employee Assistance Program (EAP), • 401K Retirement Savings Plan, • Direct Deposit & weekly epayroll, • Referral Bonus Programs Yoh, a Day & Zimmermann company, is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. Visit to contact us if you are an individual with a disability and require accommodation in the application process. For California applicants, qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. All of the material job duties described in this posting are job duties for which a criminal history may have a direct, adverse, and negative relationship potentially resulting in the withdrawal of a conditional offer of employment. By applying and submitting your resume, you authorize Yoh to review and reformat your resume to meet Yoh’s hiring clients’ preferences. To learn more about Yoh’s privacy practices, please see our Candidate Privacy Notice:

The Principal Data Scientist works to establish a comprehensive Data Science Program to advance data-driven decision-making, streamline operations, and fully leverage modern platforms including Databricks, or similar, to meet increasing demand for predictive analytics and AI solutions. The Principal Data Scientist will guide program development, provide training and mentorship to junior members of the team, accelerate adoption of advanced analytics, and build internal capacity through structured mentorship. The Principal Data Scientist will possess exceptional communication abilities, both verbal and written, with a strong customer service mindset and the ability to translate complex concepts into clear, actionable insights; strong analytical and business acumen, including foundational experience with regression, association analysis, outlier detection, and core data analysis principles; working knowledge of database design and organization, with the ability to partner effectively with Data Management and Data Engineering teams; outstanding time management and organizational skills, with demonstrated success managing multiple priorities and deliverables in parallel; a highly collaborative work style, coupled with the ability to operate independently, maintain focus, and drive projects forward with minimal oversight; a meticulous approach to quality, ensuring accuracy, reliability, and consistency in all deliverables; and proven mentorship capabilities, including the ability to guide, coach, and upskill junior data scientists and analysts. • 5+ years of professional experience leading data science initiatives, including developing machine learning models, statistical analyses, and end-to-end data science workflows in production environments., • 3+ years of experience working with Databricks and similar cloud-based analytics platforms, including notebook development, feature engineering, ML model training, and workflow orchestration., • 3+ years of experience applying advanced analytics and predictive modeling (e.g., regression, classification, clustering, forecasting, natural language processing)., • 2+ years of experience implementing MLOps practices, such as model versioning, CI/CD for ML, MLflow, automated pipelines, and model performance monitoring., • 2+ years of experience collaborating with data engineering teams to design data pipelines, optimize data transformations, and implement Lakehouse or data warehouse architectures (e.g., Databricks, Snowflake, SQL-based platforms)., • 2+ years of experience mentoring or supervising junior data scientists or analysts, including code reviews, training, and structured skill development., • 2+ years of experience with Python and SQL programming, using data sources such as SQL Server, Oracle, PostgreSQL, or similar relational databases., • 1+ year of experience operationalizing analytics within enterprise governance frameworks, partnering with Data Management, Security, and IT to ensure compliance, reproducibility, and best practices. Education: • This classification requires possession of a Master’s degree or higher in Data Science, Statistics, Computer Science, or a closely related field. Additional qualifying professional experience may be substituted for the required education on a year-for-year basis., • At least one of the following industry-recognized certifications in data science or cloud analytics, such as: • Microsoft Azure Data Scientist Associate (DP-100) • Databricks Certified Data Scientist or Machine Learning Professional • AWS Machine Learning Specialty • Google Professional Data Engineer • or equivalent advanced analytics certifications. The certification is required and may not be substituted with additional experience.

Role: Principal Data Scientist Locations: 900 S. Fremont Ave., Alhambra, CA, 91803 (Hybrid) Duration: 12+ Months contract Role Overview The Principal Data Scientist works to establish a comprehensive Data Science Program to advance data-driven decision-making, streamline operations, and fully leverage modern platforms including Databricks, or similar, to meet increasing demand for predictive analytics and AI solutions. The Principal Data Scientist will guide program development, provide training and mentorship to junior members of the team, accelerate adoption of advanced analytics, and build internal capacity through structured mentorship. The Principal Data Scientist will possess exceptional communication abilities, both verbal and written, with a strong customer service mindset and the ability to translate complex concepts into clear, actionable insights; strong analytical and business acumen, including foundational experience with regression, association analysis, outlier detection, and core data analysis principles; working knowledge of database design and organization, with the ability to partner effectively with Data Management and Data Engineering teams; outstanding time management and organizational skills, with demonstrated success managing multiple priorities and deliverables in parallel; a highly collaborative work style, coupled with the ability to operate independently, maintain focus, and drive projects forward with minimal oversight; a meticulous approach to quality, ensuring accuracy, reliability, and consistency in all deliverables; and proven mentorship capabilities, including the ability to guide, coach, and upskill junior data scientists and analysts. Required Experience • Five (5)+ years of professional experience leading data science initiatives, including developing machine learning models, statistical analyses, and end-to-end data science workflows in production environments., • Three (3)+ years of experience working with Databricks and similar cloud-based analytics platforms, including notebook development, feature engineering, ML model training, and workflow orchestration., • Three (3)+ years of experience applying advanced analytics and predictive modeling (e.g., regression, classification, clustering, forecasting, natural language processing)., • Two (2)+ years of experience implementing MLOps practices, such as model versioning, CI/CD for ML, MLflow, automated pipelines, and model performance monitoring., • Two (2)+ years of experience collaborating with data engineering teams to design data pipelines, optimize data transformations, and implement Lakehouse or data warehouse architectures (e.g., Databricks, Snowflake, SQL-based platforms)., • Two (2)+ years of experience mentoring or supervising junior data scientists or analysts, including code reviews, training, and structured skill development., • Two (2)+ years of experience with Python and SQL programming, using data sources such as SQL Server, Oracle, PostgreSQL, or similar relational databases., • One (1)+ year of experience operationalizing analytics within enterprise governance frameworks, partnering with Data Management, Security, and IT to ensure compliance, reproducibility, and best practices. Education This classification requires possession of a Master’s degree or higher in Data Science, Statistics, Computer Science, or a closely related field. Additional qualifying professional experience may be substituted for the required education on a year-for-year basis. At least one of the following industry-recognized certifications in data science or cloud analytics, such as: • Microsoft Azure Data Scientist Associate (DP-100), • Databricks Certified Data Scientist or Machine Learning Professional, • AWS Machine Learning Specialty, • Google Professional Data Engineer, • or equivalent advanced analytics certifications. The certification is required and may not be substituted with additional experience. Additional Information • California Resident Candidates Only. • This position is HYBRID (2 days onsite, 2 days telework)., • Interviews will be conducted via Microsoft Teams., • The work schedule follows a 4/40 (10-hour days, Monday–Thursday), with the specific shift determined by the program manager., • Shifts may range between 7:15 a.m. and 6:00 p.m.

Our aerospace client (200-300 FTE) is seeking an Infrastructure Systems Engineer to support critical systems operations, server administration, virtualization, and light networking in a fast-paced, CMMC-driven environment. This is a hands-on role focused on execution, automation, and supporting ongoing compliance and infrastructure initiatives. Responsibilities • Support daily system administration across Windows Server and Linux (Ubuntu/Oracle) environments, • Provision, configure, and maintain VMware ESXi VMs and hosts, • Perform server patching, updates, imaging, and lifecycle management, • Script and automate operational tasks using PowerShell, Bash, or Python, • Deploy, configure, and update applications and system tools, • Manage identity, access, and systems configuration using Active Directory and Group Policy, • Troubleshoot OS-level, network-level, and infrastructure-related issues, • Assist with Cisco and Meraki networking operations (switching, VLANs, basic routing), • Support AWS GovCloud and Azure Government Cloud workloads as needed, • Monitor system health, performance, and capacity across the environment, • Maintain documentation for configurations, runbooks, and standard procedures, • Support CMMC-driven projects, remediation tasks, and audit readiness, • Collaborate closely with Systems, Security, and Network Engineers, • Act as onsite "boots on the ground" resource 3 days per week (hybrid) Requirements • 5-7+ years of IT experience; 3-4+ years in Systems Engineering or Systems Administration, • Strong experience with Windows Server, Linux (Ubuntu/Oracle), and VMware virtualization, • Hands-on experience with scripting/automation (PowerShell, Bash, Python), • Working knowledge of Cisco/Meraki networking technologies, • Experience deploying applications, updates, and server configurations, • Ability to troubleshoot servers, endpoints, connectivity, and infrastructure components, • Familiarity with security or compliance environments (CMMC is a plus), • Strong documentation skills and ability to follow structured procedures, • U.S. Citizen or Green Card (due to gov cloud & compliance), • Hybrid schedule: 3 days onsite in Redondo Beach, CA Nice to Have • AWS GovCloud or Azure Gov Cloud experience, • Exposure to CMMC, NIST 800-171, ITAR/EAR, or defense-sector environments, • Linux certifications or VMware certifications, • Experience working in fast-paced startups or regulated industries, • Experience with endpoint management tools (Intune, JAMF, SCCM, etc.) All qualified applicants will receive consideration for employment without regard to race, color, national origin, age, ancestry, religion, sex, sexual orientation, gender identity, gender expression, marital status, disability, medical condition, genetic information, pregnancy, or military or veteran status. We consider all qualified applicants, including those with criminal histories, in a manner consistent with state and local laws, including the California Fair Chance Act, City of Los Angeles' Fair Chance Initiative for Hiring Ordinance, and Los Angeles County Fair Chance Ordinance. For unincorporated Los Angeles county, to the extent our customers require a background check for certain positions, the Company faces a significant risk to its business operations and business reputation unless a review of criminal history is conducted for those specific job positions.

Software Development Engineer in Test (SDET) Location options: Denver CO, Washington DC, or Los Angeles Active US Security Clearance required Are you the kind of engineer who loves breaking things so the system becomes stronger? If you enjoy pushing distributed systems to their limits and building automation that mirrors real world behaviors, this role will be right up your street. A fast growing space technology company is searching for an SDET to help test, validate, and stress their mission critical software. You will work on technology that powers satellite operations, command and control services, and large scale real time behaviours. You do not need to be a space expert. If you love Python, automation, and solving complex problems, you will thrive here. What you will be doing • Building and automating tests that mirror real customer use cases, • Simulating hundreds to thousands of satellites running operations, • Acting as a chaos tester to uncover weaknesses and improve system resilience, • Troubleshooting and fixing bugs across deployed backend systems, • Testing APIs, databases, event driven architectures, and containerized environments, • Supporting CI and automation within modern DevOps pipelines, • Working closely with frontend, backend, and product teams to ensure quality at scale What you will need • Proficiency in Python, • Experience with Playwright, Cypress, or similar end to end testing frameworks, • Strong understanding of containerized and serverless architectures, • Skilled in API testing and distributed databases, • Experience building CI or automation pipelines, ideally with GitHub Actions, • A track record of solving technical problems with minimal oversight, • Active US Security Clearance (Secret required, TS or TS SCI preferred), • Must meet ITAR requirements (US citizen, US national, green card holder) What you will get • Hybrid work, two days per week on site with flexibility, • Comprehensive health insurance with full coverage for employees, • Unlimited PTO with a requirement to take at least 15 days, • Most US federal holidays observed, • Quarterly wellness benefits, • 4 percent 401(k) matching, • Quarterly offsites in great destinations, • A team that values ownership, curiosity, and continuous improvement If you are excited by the idea of testing systems at scale and helping shape the future of satellite operations, I would love to speak with you. Feel free to reach out to Ciara Holmes at EVONA for more information or to apply directly.

Founding Full-Stack Engineer (AI-Driven Systems) The Job We’re looking for a Full-Stack Engineer to join the founding team and architect the core of a next-generation Advertising Trade Desk. You will design and deploy a unified platform that enables automated, cross-platform media buying and creative optimization. This isn't just about maintaining code; you’ll integrate AI/ML systems to make attention programmable, building the "operating system for digital influence" from the ground up. You will work directly with the founders to translate strategy into scalable code, merging backend infrastructure with user-facing interfaces. The Company My client is a stealth-mode startup backed by world-class investors and builders, currently re-imagining how startups and brands connect with audiences in the algorithmic age. They are constructing a new infrastructure for social advertising where distribution and creative execution merge into one intelligent network. They are now assembling a small, exceptional team of engineers to translate bold ideas into scalable systems at the intersection of AI, automation, and culture. About You You are a builder who thrives in the high-velocity environment of an early-stage startup, capable of balancing speed with technical excellence. You are obsessed with building elegant systems that scale and possess a deep fluency in AI. While you are a generalist at heart, you have likely tackled complex problems involving high-volume data or algorithmic decision-making before. Key Requirements: • 5+ years of full-stack engineering experience (Python, TypeScript, React, Node, or Go)., • A background in building 0-1 products; you are comfortable owning the technical roadmap as a founding engineer., • Experience with AdTech, social media platforms, trading systems, or recommendation algorithms is highly valued for this role., • Deep familiarity with AI/ML workflows, specifically LLMs and generative applications., • Demonstrated experience deploying and scaling production systems on AWS, GCP, or similar cloud environments. Why Would You Join? This is a unique opportunity to shape both the culture and technical DNA of a company redefining the future of social advertising. As a founding engineer, you won't just be a cog in the machine; you will own major pieces of the product, experimenting rapidly with reinforcement-learning agents and audience prediction models. You will work on the cutting edge of automation, creating tools that make attention tradeable. Salary, Location & Process Salary: Guide of $175,000 - $250,000 + Early-Stage Equity Location: Los Angeles, CA Process: Screening → Technical Deep Dive → Founder Interview → Offer

Sr. Software Engineer Pay Range: $75/hour to $85/hour Our team is seeking a Sr Software Engineer who will be an important team member for our advertising machine learning platform, which focus on prediction and optimization engines for Disney’s addressable ad platforms. The right person for this role should be experienced in machine learning technologies as well as solid in backend services. If you are someone who is proactive, inquisitive, and innovative in these domains, this is a phenomenal role for you! Responsibilities • Build next-gen experiment platform for advertising decisioning and A/B testing to fit evolving business needs, • Build next-gen simulation platform to apply state-of-the-art solutions for complicated ad challenges and to further enhance business performance, • Develop scalable and efficient approaches for large scale data analysis, • Collaborate with researchers to productize cutting edge innovations, • Design scalable distributed systems with performance, scalability, reusability and flexibility, • Advocate the best engineering practices, including the use of design patterns, CI/CD, code review and automated test, • As a key member of the team, contribute to all aspects of the software lifecycle: design, experimentation, implementation and testing., • At least 4 years of professional programming and design experience in Java, Python, Scala, etc., • Experience of building industry level high available and scalable micro-service, • Knowledge of system, application design and architecture, • Knowledge of big data processing and bigdata technologies, • Passionate about understanding the ad business and seeking innovation opportunities to enhance business effectiveness. • Domain knowledge about advertising, • Knowledge for AI/ML technologies and typical technical stacks, • Experience with big data solutions like Airflow, Databricks, etc. Required Education Bachelor’s Degree + 5 years of relevant experience

STAND 8 provides end to end IT solutions to enterprise partners across the United States and with offices in Los Angeles, New York, New Jersey, Atlanta, and more including internationally in Mexico and India We are seeking a highly analytical and technically skilled Data Scientist to transform complex, multi-source data into unified, actionable insights used for executive reporting and decision-making. This role requires expertise in business intelligence design, data modeling, metadata management, data integrity validation, and the development of dashboards, reports, and analytics used across operational and strategic environments. The ideal candidate thrives in a fast-paced environment, demonstrates strong investigative skills, and can collaborate effectively with technical teams, business stakeholders, and leadership. Essential Duties & Responsibilities • As a Data Scientist, participate across the full solution lifecycle: business case, planning, design, development, testing, migration, and production support., • Analyze large and complex datasets with accuracy and attention to detail., • Collaborate with users to develop effective metadata and data relationships., • Identify reporting and dashboard requirements across business units., • Determine strategic placement of business logic within ETL or metadata models., • Build enterprise data warehouse metadata/semantic models., • Design and develop unified dashboards, reports, and data extractions from multiple data sources., • Develop and execute testing methodologies for reports and metadata models., • Document BI architecture, data lineage, and project report requirements., • Provide technical specifications and data definitions to support the enterprise data dictionary., • Apply analytical skills and Data Science techniques to understand business processes, financial calculations, data flows, and application interactions., • Identify and implement improvements, workarounds, or alternative solutions related to ETL processes, ensuring integrity and timeliness., • Create UI components or portal elements (e.g., SharePoint) for dynamic or interactive stakeholder reporting., • As a Data Scientist, download and process SQL database information to build Power BI or Tableau reports (including cybersecurity awareness campaigns)., • Utilize SQL, Python, R, or similar languages for data analysis and modeling., • Highly self-motivated with strong organizational skills and ability to manage multiple verbal and written assignments., • Experience collaborating across organizational boundaries for data sourcing and usage., • Analytical understanding of business processes, forecasting, capacity planning, and data governance., • Proficient with BI tools (Power BI, Tableau, PBIRS, SSRS, SSAS)., • Strong Microsoft Office skills (Word, Excel, Visio, PowerPoint)., • High attention to detail and accuracy., • Ability to work independently, demonstrate ownership, and ensure high-quality outcomes., • Strong communication, interpersonal, and stakeholder engagement skills., • Deep understanding that data integrity and consistency are essential for adoption and trust., • Ability to shift priorities and adapt within fast-paced environments.Required Education & Experience, • Bachelor's degree in Computer Science, Mathematics, or Statistics (or equivalent experience)., • 3+ years of BI development experience., • 3+ years with Power BI and supporting Microsoft stack tools (SharePoint 2019, PBIRS/SSRS, Excel 2019/2021)., • 3+ years of experience with SDLC/project lifecycle processes, • 3+ years of experience with data warehousing methodologies (ETL, Data Modeling)., • 3+ years of VBA experience in Excel and Access., • Strong ability to write SQL queries and work with SQL Server 2017-2022., • Experience with BI tools including PBIRS, SSRS, SSAS, Tableau., • Strong analytical skills in business processes, financial modeling, forecasting, and data flow understanding., • Critical thinking and problem-solving capabilities., • Experience producing high-quality technical documentation and presentations., • Excellent communication and presentation skills, with the ability to explain insights to leadership and business teams. Benefits • Medical coverage and Health Savings Account (HSA) through Anthem, • Dental/Vision/Various Ancillary coverages through Unum, • 401(k) retirement savings plan, • Paid-time-off options, • Company-paid Employee Assistance Program (EAP)

Senior Full Stack Software Engineer / Engineering Manager Salary Range: $160k to $170k As the Senior Engineer / Engineering Manager, you’ll serve as both a technical leader and people manager, guiding the design, development, and scaling of software systems, including our core data pipelines, customer portal, and cloud infrastructure. You’ll take ownership of key engineering decisions, shape our technical roadmap, and help build and mentor a high-performing team. This role is ideal for someone who enjoys being hands-on while also driving strategy, structure, and collaboration across teams. What You’ll Do: • Lead the design, development, and implementation of new software products and features based on business priorities and carbon analytics needs., • Partner closely with Analytics and Delivery teams to ensure smooth customer delivery, understand evolving requirements, and align engineering resources effectively., • Develop deep domain knowledge of technology stack and business model, including core principles of carbon and economic modeling., • Define and maintain long-term technical architecture, ensuring scalability, reliability, and reduction of technical debt., • Manage, mentor, and develop engineers at various levels — reviewing designs, overseeing code quality, and fostering growth., • Drive the evolution of CO2-ing, our core analytical pipeline, along with our portal ecosystem and cloud infrastructure., • Oversee development cycles, balancing technical rigor with business priorities and delivery timelines., • Champion engineering best practices, cultivate a collaborative and inclusive team culture, and model technical excellence., • Provide input to product strategy, ensuring robustness, scalability, and maintainability across the full stack., • Monitor emerging technologies and third-party cloud solutions to identify opportunities that can enhance capabilities and value proposition. Desired Experience: • • A bachelor’s or master’s degree in computer engineering, computer science, or related field., • • 5-7 years of full-time software engineering experience., • • Strong proficiency in Python is a must., • • Track record displaying increasing ownership over technical architecture and/or system design., • • Track record of leading technical initiatives and mentoring other engineers., • • Proficiency in front-end technologies such as HTML, CSS/Tailwind, JavaScript/TypeScript and popular frameworks like React., • • Experience with back-end technologies and runtime environments such as Python or Node.js., • • Experience building and deploying APIs (REST/GraphQL)., • • Experience with cloud computing platforms (any of the big three Azure, AWS, GCP) and container technologies (Docker), • • Experience with one or more database systems (PostgreSQL, MySQL, etc.), • • Experience with Git and GitHub., • • Strong communication and teamwork skills. Nice to Have: • • Prior roles or familiarity with energy or carbon systems analytics is a plus., • • Demonstrated UI/UX experience or data visualizations (dashboards)., • • Demonstrated experience on AI/ML projects is preferred., • • Demonstrated experience building and launching products from scratch in a startup or new venture setting is highly valued.

JSG is seeking a Senior Data Solutions Architect for a client in Woodland Hills, CA. This position is remote, and our client is looking for local candidates based in Southern California.The Senior Data Solutions Engineer will design, scale, and optimize the company’s enterprise data platform. This role will build and maintain cloud-native data pipelines, lakehouse/warehouse architectures, and multi-system integrations that support Finance, CRM, Operations, Marketing, and guest experience analytics. The engineer will focus on building secure, scalable, and cost-efficient systems while applying modern DevOps, ETL, and cloud engineering practices requiring a strong technologist with hands-on expertise across data pipelines, orchestration, governance, and cloud infrastructure. Key Responsibilities • Design, build, and maintain ELT/ETL pipelines across Snowflake, Databricks, Microsoft Fabric Gen 2, Azure Synapse Analytics, and legacy SQL/Oracle platforms., • Implement medallion/lakehouse architecture, CDC pipelines, and streaming ingestion frameworks., • Leverage Python (90%) and SQL (10%) for data processing, orchestration, and automation., • Manage AWS and Azure multi-account environments, enforcing MFA, IAM policies, and governance., • Build serverless architectures (AWS Lambda, Azure Functions, EventBridge, SQS, Step Functions) for event-driven data flows., • Integrate infrastructure with CI/CD pipelines (GitHub Actions, Azure DevOps, MWAA/Airflow, dbt) for automated testing and deployments., • Deploy infrastructure as code using Terraform and Azure DevOps for reproducible, version-controlled environments., • Implement observability and monitoring frameworks (Datadog, Prometheus, Grafana, Kibana, Azure Monitor) to ensure system reliability, performance, and cost efficiency., • Collaborate with stakeholders to deliver secure, scalable, and cost-efficient data solutions., • Background in Finance a or Consumer facing industries is preferred Salary: $160K-$175K JSG offers medical, dental, vision, life insurance options, short-term disability, 401(k), weekly pay, and more. Johnson Service Group (JSG) is an Equal Opportunity Employer. JSG provides equal employment opportunities to all applicants and employees without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, disability, marital status, protected veteran status, or any other characteristic protected by law.

JSG is seeking a Software Engineering Manager in Woodland Hills, California. We are seeking a Software Engineering Manager to lead our full-stack product engineering teams, delivering high-quality, scalable applications that power our business and customer experiences. This role requires a unique leader who can scale and inspire engineering teams, implement performance frameworks, and drive cross-functional alignment—while still being willing to roll up their sleeves and contribute hands-on in architecture, code reviews, and troubleshooting when needed. The ideal candidate has a strong foundation in modern application development (.NET, Java, Node.js, Python, React), understands enterprise-scale systems, and thrives in environments where innovation, quality, and velocity are equally important. Key Responsibilities Leadership & Team Growth • Lead and scale full-stack engineering teams across frontend, backend, and data services., • Mentor engineers at all levels—supporting technical growth, career development, and performance improvement., • Establish clear performance management frameworks (KPIs, OKRs, delivery velocity, quality metrics)., • Promote a hands-on leadership style—leading by example in code quality, architectural decisions, and problem-solving. Product Engineering Delivery • Drive end-to-end development of customer-facing applications using React, .NET, Java, Node.js, and Python., • Partner with Product Management, UX, and Business Stakeholders to deliver features that enhance user experience and business value., • Roll up sleeves when needed: perform code reviews, architecture design, debugging, and hands-on prototyping., • Implement engineering best practices including test-driven development (TDD), continuous integration, and CI/CD pipelines. Technical Direction & Architecture • Provide technical oversight and guidance for modern, scalable application architectures—including microservices, APIs, event-driven systems, and cloud-native deployments., • Guide decisions on frontend frameworks, backend services, and data integration strategies to ensure cohesive, scalable systems., • Champion reduction of technical debt and migration to cloud-first, containerized environments (Docker, Kubernetes)., • Leverage infrastructure-as-code (Terraform, GitOps) for predictable and scalable delivery. Cross-Functional Leadership • Collaborate closely with QA, Security, DevOps, and Data Engineering to ensure quality, compliance, and reliability., • Translate executive-level business goals into actionable engineering roadmaps., • Ensure alignment between product roadmaps and technical execution through clear decision cadences and prioritization., • Build relationships with external vendors, integrators, and cloud providers to support growth. Operational Excellence • Oversee incident response and production troubleshooting, driving rapid root cause analysis and long-term stability improvements., • Establish system performance dashboards and SLAs/SLOs to track uptime, scalability, and user experience., • Implement monitoring, observability, and logging strategies to support proactive issue detection., • Drive a DevOps-first culture for faster, safer, and more reliable deployments. Qualifications • 10+ years of software engineering experience, with at least 5 years in engineering management leading full-stack teams., • Strong hands-on experience in modern technologies:, • Frontend: React (preferred), Angular, or Vue., • Backend: .NET, Java, Node.js, Python., • Databases: SQL Server, PostgreSQL, NoSQL, and cloud-native databases (Azure SQL, AWS RDS, Cosmos DB)., • Proven success in scaling engineering teams and implementing structured performance management., • Experience with cloud-native architectures (Azure, AWS, or GCP), containerization (Docker, Kubernetes), and CI/CD automation., • Track record of cross-functional leadership with Product, Design, QA, and Business stakeholders., • Strong architectural judgment and ability to balance hands-on coding with high-level oversight., • Excellent communication skills, capable of engaging both executives and engineers. Pay Range: $75-$85 per hour JSG offers medical, dental, vision, life insurance options, short-term disability, 401(k), weekly pay, and more. Johnson Service Group (JSG) is an Equal Opportunity Employer. JSG provides equal employment opportunities to all applicants and employees without regard to race, color, religion, sex, age, sexual orientation, gender identity, national origin, disability, marital status, protected veteran status, or any other characteristic protected by law.

CGS Business Solutions is committed to helping you, as an esteemed IT Professional, find the next right step in your career. We match professionals like you to rewarding consulting or full-time opportunities in your area of expertise. We are currently seeking Technical Professionals who are searching for challenging and rewarding jobs for the following opportunity: Summary CGS is hiring for a Senior Data Engineer to serve as a core member of the Platform team. This is a high-impact role responsible for advancing our foundational data infrastructure. Your primary mission will be to build key components of our Policy Journal — the central source of truth for all policy, commission, and client accounting data. You’ll work closely with the Lead Data Engineer and business stakeholders to translate complex requirements into scalable data models and reliable pipelines that power analytics and operational decision-making for agents, managers, and leadership. This role blends greenfield engineering, strategic modernization, and a strong focus on delivering trusted, high-quality data products. Overview • Build the Policy Journal — Design and implement the master data architecture unifying policy, commission, and accounting data from sources like IVANS and Applied EPIC to create the platform’s “gold record.”, • Ensure Data Reliability — Define and implement data quality checks, monitoring, and alerting to guarantee accuracy, consistency, and timeliness across pipelines — while contributing to best practices in governance., • Build the Analytics Foundation — Enhance and scale our analytics stack (Snowflake, dbt, Airflow), transforming raw data into clean, performant dimensional models for BI and operational insights., • Modernize Legacy ETL — Refactor our existing Java + SQL (PostgreSQL) ETL system — diagnose duplication and performance issues, rewrite critical components in Python, and migrate orchestration to Airflow., • Implement Data Quality Frameworks — Develop automated testing and validation frameworks aligned with our QA strategy to ensure accuracy, completeness, and integrity across pipelines., • Collaborate on Architecture & Design — Partner with product and business stakeholders to deeply understand requirements and design scalable, maintainable data solutions. Ideal Experience • 5+ years of experience building and operating production-grade data pipelines., • Expert-level proficiency in Python and SQL., • Hands-on experience with the modern data stack — Snowflake/Redshift, Airflow, dbt, etc., • Strong understanding of AWS data services (S3, Glue, Lambda, RDS)., • Experience working with insurance or insurtech data (policies, commissions, claims, etc.)., • Proven ability to design robust data models (e.g., dimensional modeling) for analytics., • Pragmatic problem-solver capable of analyzing and refactoring complex legacy systems (ability to read Java/Hibernate is a strong plus — but no new Java coding required)., • Excellent communicator comfortable working with both technical and non-technical stakeholders. Huge Plus! • Direct experience with Agency Management Systems (Applied EPIC, Nowcerts, EZLynx, etc.), • Familiarity with carrier data formats (Accord XML, IVANS AL3), • Experience with BI tools (Tableau, Looker, Power BI) About CGS Business Solutions: CGS specializes in IT business solutions, staffing and consulting services. With a strong focus in IT Applications, Network Infrastructure, Information Security, and Engineering. CGS is an INC 5000 company and is honored to be selected as one of the Best IT Recruitment Firms in California. After five consecutive Fastest Growing Company titles, CGS continues to break into new markets across the USA. Companies are counting on CGS to attract and help retain these resource pools in order to gain a competitive advantage the rapidly changing business environments.

Job description: • A Senior Programmer is responsible for leading and/or working on the most complex IT applications design, documentation, development, modification, testing, installation, implementation and support of new or existing applications software. This classification may also plan, install, configure, test, implement and manage a systems environment in support of an organization’s IT architecture and business needs. Common organizational or functional industry position titles for programmers include but are not limited to programmer analyst, applications developer, software engineer, software developer, software quality assurance specialist, systems programmer, systems software programmer, database administrators, computer systems analysts, systems engineer, systems software engineer. The Senior Programmer, in development of applications software, is responsible for analyzing and refining systems requirements; translating systems requirements into applications prototypes; planning and designing systems architecture; writing, debugging and maintaining code; determining and designing applications architecture; determining output media/formats; designing user interfaces; working with customers to test applications; assuring software and systems quality and functionality; integrating hardware and software components; writing and maintaining program documentation; evaluating new applications software technologies; and/or ensuring the rigorous application of information security/information assurance policies, principles and practices to the delivery of application software services. The Senior Programmer, in development of operating systems, is responsible for analyzing systems requirements in response to business requirements, risks and costs; evaluating, selecting, verifying and validating the systems software environment; evaluating, selecting and installing compilers, assemblers and utilities; integrating hardware and software components within the systems environment; monitoring and fine-tuning performance of the systems environment; evaluating new systems engineering technologies and their effect on the operating environment; and/or ensuring that information security/information assurance policies, principles and practices are an integral element of the operating environment., • The Senior Programmer will possess knowledge and experience in applications software development principles and methods sufficient to participate in the design, development, testing and implementation of new or modified applications software; operating systems installation and configuration procedures; organization’s operational environment; software design principles, methods and approaches; principles, methods and procedures for designing, developing, optimizing and integrating new and/or reusable systems components; pertinent government regulations; infrastructure requirements, such as bandwidth and server sizing; database management principles and methodologies, including data structures, data modeling, data warehousing and transaction processing; functionality and operability of the current operating environment; systems engineering concepts and factors such as structured design, supportability, survivability, reliability, scalability and maintainability; optimization concepts and methods; establish and maintain cooperative working relationships with those contacted in the course of the work; and speak and write effectively and prepare effective reports., • Possess advanced knowledge of SQL, encompassing intricate query optimization techniques, nuanced data manipulation strategies, and a keen ability for fine-tuning database performance. Proficiency extends to crafting queries that operate efficiently even with large datasets, ensuring optimal processing times and minimal resource usage. 2. Demonstrate expertise in working with diverse and popular database management systems such as Oracle, MySQL, SQL Server, and Azure SQL. Proficiency includes database administration, schema design, and the seamless execution of operations across various platforms, showcasing adaptability and proficiency in different environments. 3. Exhibit a strong understanding and extensive experience in Oracle PL/SQL programming. This expertise encompasses the development and optimization of intricate stored procedures, triggers, and functions. Proficiency in PL/SQL ensures the seamless execution of complex tasks, enhancing database functionality and performance. 4. Showcase the ability to design efficient data models that facilitate optimal storage and retrieval of information. Proficiency in creating robust data structures ensures streamlined access to relevant data, enhancing overall database efficiency and reducing query complexity. 5. Demonstrate a comprehensive understanding of Extract, Transform, Load (ETL) processes and tools and scripting languages like Python, Perl, or Shell scripting for automating and data manipulation. Proficiency in integrating data from diverse sources into the database showcases the ability to harmonize disparate datasets, ensuring data consistency, accuracy, and reliability. 6. Exhibit a strong ability to optimize both database queries and underlying structures. Proficiency in query optimization techniques and structural refinements enhances database performance and responsiveness. Skills in identifying and rectifying bottlenecks contribute to streamlined operations. 7. Possess knowledge of data warehousing concepts and tools, enabling effective management of vast volumes of data. Expertise in data warehousing ensures efficient storage, retrieval, and analysis of large datasets, supporting the organization's data-driven decision-making processes. 8. Display proficiency with Power BI, including crafting insightful visualizations and reports that translate raw data into valuable, actionable insights. 9. Demonstrate proficiency in utilizing version control systems like Git to effectively manage and track changes in database scripts and queries. Expertise in version control ensures systematic tracking of modifications, enabling collaboration, maintaining code integrity, and facilitating seamless integration of changes into the database systems., • This classification must have a minimum of seven (7) years of experience in electronic data processing systems study, design, and programming. At least four (4) years of that experience must have been in a lead capacity., • 4 years of experience in the past 7 years writing complex SQL queries, optimizing database performance, and ensuring data integrity across various database management systems, including Oracle, MySQL, SQL Server, and Azure SQL. 2) 3 years of experience in the past 4 years working with advanced skills in Oracle PL/SQL or similar procedural languages, adept at developing efficient stored procedures, triggers, and functions for seamless database operations. 3) 3 years of experience in the past 4 years working with designing and optimizing database schemas, ensuring scalability, data normalization, and efficient indexing for high-performance transactional systems. 4) 3 years of experience in the past 4 years working with developing intricate reports and visualizations using tools such as Cognos, Power BI, or Crystal Reports, transforming raw data into meaningful insights for diverse stakeholders. 5) 3 years of experience in the past 4 years working with Implementing robust ETL processes, integrating data from diverse sources into data warehouses flawlessly, ensuring accuracy, consistency, and reliability of data for analytical purposes. 6) 3 years of experience in the past 4 years working with Providing technical leadership to junior developers, conduct thorough code reviews, offer mentorship, and foster a collaborative environment within the team. 7) 2 years of experience in the past 4 years working with communicating complex technical concepts clearly to both technical and non-technical stakeholders, ensuring a shared understanding of database solutions and their alignment with business objectives. 8) 3 years of experience in the past 4 years working with complex database issues, debugging code, and optimizing queries for peak performance. 9) 2 years of experience building Power BI reports. 10) 2 years of experience in the past 4 years maintaining comprehensive documentation of database schemas, stored procedures, and ETL processes, ensuring knowledge accessibility and smooth transfer within the team., • This classification requires the possession of a bachelor’s degree in an IT-related or Engineering field. Additional qualifying experience may be substituted for the required education on a year-for-year basis., • Bachelors in computer science, data analytics, or a related field., • Please note that although the position is 100% remote, the live scan will be conducted onsite at our Downey HQ location. This position is for developing Power BI dashboards with advanced DAX, data modeling, and performance tuning and a strong SQL expertise in PL/SQL and T/SQL for building and optimizing database solutions.

Role Description Mercor is hiring on behalf of a leading AI research lab to bring on highly skilled Machine Learning Engineers with a proven record of building, training, and evaluating high-performance ML systems in real-world environments. In this role, you will design, implement, and curate high-quality machine learning datasets, tasks, and evaluation workflows that power the training and benchmarking of advanced AI systems. This position is ideal for engineers who have excelled in competitive machine learning settings such as Kaggle, possess deep modelling intuition, and can translate complex real-world problem statements into robust, well-structured ML pipelines and datasets. You will work closely with researchers and engineers to develop realistic ML problems, ensure dataset quality, and drive reproducible, high-impact experimentation. Candidates should have 3+ years of applied ML experience or a strong record in competitive ML, and must be based in India. Ideal applicants are proficient in Python, experienced in building reproducible pipelines, and familiar with benchmarking frameworks, scoring methodologies, and ML evaluation best practices. * * * ## Responsibilities - Frame unique ML problems for enhancing ML capabilities of LLMs. - Design, build, and optimise machine learning models for classification, prediction, NLP, recommendation, or generative tasks. - Run rapid experimentation cycles, evaluate model performance, and iterate continuously. - Conduct advanced feature engineering and data preprocessing. - Implement adversarial testing, model robustness checks, and bias evaluations. - Fine-tune, evaluate, and deploy transformer-based models where necessary. - Maintain clear documentation of datasets, experiments, and model decisions. - Stay updated on the latest ML research, tools, and techniques to push modelling capabilities forward. * * * ## Required Qualifications - At least 3 years of full-time experience in machine learning model development - Technical degree in Computer Science, Electrical Engineering, Statistics, Mathematics, or a related field - Demonstrated competitive machine learning experience (Kaggle, DrivenData, or equivalent) - Evidence of top-tier performance in ML competitions (Kaggle medals, finalist placements, leaderboard rankings) - Strong proficiency in Python, PyTorch/TensorFlow, and modern ML/NLP frameworks - Solid understanding of ML fundamentals: statistics, optimisation, model evaluation, architectures - Experience with distributed training, ML pipelines, and experiment tracking - Strong problem-solving skills and algorithmic thinking - Experience working with cloud environments (AWS/GCP/Azure) - Exceptional analytical, communication, and interpersonal skills - Ability to clearly explain modelling decisions, tradeoffs, and evaluation results - Fluency in English * * * ## Preferred / Nice to Have - Kaggle Grandmaster, Master, or multiple Gold Medals - Experience creating benchmarks, evaluations, or ML challenge problems - Background in generative models, LLMs, or multimodal learning - Experience with large-scale distributed training - Prior experience in AI research, ML platforms, or infrastructure teams - Contributions to technical blogs, open-source projects, or research publications - Prior mentorship or technical leadership experience - Published research papers (conference or journal) - Experience with LLM fine-tuning, vector databases, or generative AI workflows - Familiarity with MLOps tools: Weights & Biases, MLflow, Airflow, Docker, etc. - Experience optimising inference performance and deploying models at scale * * * ## Why Join - Gain exposure to cutting-edge AI research workflows, collaborating closely with data scientists, ML engineers, and research leaders shaping next-generation AI systems. - Work on high-impact machine learning challenges while experimenting with advanced modelling strategies, new analytical methods, and competition-grade validation techniques. - Collaborate with world-class AI labs and technical teams operating at the frontier of forecasting, experimentation, tabular ML, and multimodal analytics. - Flexible engagement options (30–40 hrs/week or full-time) — ideal for ML engineers eager to apply Kaggle-level problem solving to real-world, production-grade AI systems. - Fully remote and globally flexible — optimised for deep technical work, async collaboration, and high-output research environments.

Mercor is partnering with a cutting-edge AI research lab to hire a Senior Data/Analytics Engineer with expertise across DBT and Snowflake’s Cortex CLI. In this role, you will build and scale Snowflake-native data and ML pipelines, leveraging Cortex’s emerging AI/ML capabilities while maintaining production-grade DBT transformations. You will work closely with data engineering, analytics, and ML teams to prototype, operationalise, and optimise AI-driven workflows—defining best practices for Snowflake-native feature engineering and model lifecycle management.This is a high-impact role within a modern, fully cloud-native data stack. * * * ## Responsibilities - Design, build, and maintain DBT models, macros, and tests following modular data modeling and semantic best practices. - Integrate DBT workflows with Snowflake Cortex CLI, enabling: - Feature engineering pipelines - Model training & inference tasks - Automated pipeline orchestration - Monitoring and evaluation of Cortex-driven ML models - Establish best practices for DBT–Cortex architecture and usage patterns. - Collaborate with data scientists and ML engineers to produce Cortex workloads in Snowflake. - Build and optimise CI/CD pipelines for dbt (GitHub Actions, GitLab, Azure DevOps). - Tune Snowflake compute and queries for performance and cost efficiency. - Troubleshoot issues across DBT arti-facts, Snowflake objects, lineage, and data quality. - Provide guidance on DBT project governance, structure, documentation, and testing frameworks. * * * ## Required Qualifications - 3+ years experience with DBT Core or DBT Cloud, including macros, packages, testing, and deployments. - Strong expertise with Snowflake (warehouses, tasks, streams, materialised views, performance tuning). - Hands-on experience with Snowflake Cortex CLI, or strong ability to learn it quickly. - Strong SQL skills; working familiarity with Python for scripting and DBT automation. - Experience integrating DBT with orchestration tools (Airflow, Dagster, Prefect, etc.). - Solid understanding of modern data engineering, ELT patterns, and version-controlled analytics development. * * * ## Nice-to-Have Skills - Prior experience operationalising ML workflows inside Snowflake. - Familiarity with Snow-park, Python UDFs/UDTFs. - Experience building semantic layers using DBT metrics. - Knowledge of MLOps / DataOps best practices. - Exposure to LLM workflows, vector search, and unstructured data pipelines. * * * ## Why Join - You will be an hourly contractor through Mercor, working 20–40 hours per week with flexibility. - Direct opportunity to build next-generation Snowflake AI/ML systems with Cortex. - High-impact ownership of DBT and Snowflake architecture across production pipelines. - Work alongside top-tier ML engineers, data scientists, and research teams. - Fully remote, high-autonomy environment focused on innovation, velocity, and engineering excellence.

Proven development skills in Python, PySpark, and Databricks especially for heavy data processing and platform work. Were looking for a Senior Backend/Data Platform Engineer with extensive handson experience in Python, PySpark, and Databricks. Engineer, optimize, and maintain backend services and da

Strong proficiency in Python is a must. Experience with back-end technologies and runtime environments such as Python or Node.

Head of Technology (Santa Monica, CA | On-site) • Be at the forefront of a revolution in real estate and built environment decision-making., • Work alongside a visionary founding team with experience across AI, real estate, and startups., • A chance to reshape the future of an industry worth trillions. About Diald AI Diald AI is transforming how commercial real estate decisions are made. Our AI-powered platform equips investors, developers, and lenders with next-generation insights—replacing gut feel and outdated methods with precision, clarity, and speed. We’re on a mission to revolutionize an age-old industry, and we’re looking for a seasoned real estate professional to help us lead the charge. Cultural Fit At Diald AI, we are building a company for people who love the work — not just the idea of the work. Our culture rewards curiosity, intensity, and a genuine desire to push boundaries in an industry long overdue for change. We operate with minimal hierarchy, fast decision cycles, and a deep respect for those who take ownership and move with purpose. We’re looking for someone who finds joy in the grind: a builder who works hard not because they’re told to, but because solving hard problems is intrinsically motivating. Someone who is energized, not intimidated, by fast pace, ambiguity, and the responsibility that comes with true autonomy. Selflessness is core to who we are. Team and company come before ego. Flexibility is expected — roles evolve quickly, and the right person adapts even faster. If you prefer stability, predictability, and playing a narrow role in a large machine, this is likely not the right fit. Corporate “cogs” struggle here. But for the right leader — someone who sees work as a craft, not a chore — Diald AI offers something rare: the opportunity to build a category-defining product that meaningfully reshapes the built world. We move quickly, learn continuously, take calculated risks, and support each other fiercely. If the idea of staying up late because you want to finish something — not because you have to — feels familiar, you’ll thrive here. Job Responsibilities • Lead technology strategy for real estate AI startup, architecting enterprise-grade, multi-tenant platforms using AI-driven analysis of qualitative information on real estate properties, • Oversee the full SaaS lifecycle—from MVP to scaled production—leveraging Python for data processing/ML models and React/Vue.js for responsive dashboards, and white-label client portals; ensure SOC 2 compliance., • Partner with CEO, sales, and customer success to prioritize roadmaps using enterprise KPIs (ARR, churn, NPS), balancing rapid feature delivery in Python/JavaScript stacks with technical debt reduction., • Optimize cloud costs on GCP and negotiate proptech vendor contracts. Required Qualifications • Must have deep hands-on expertise writing code in Python for backend services and modern JavaScript frameworks (React, Vue.js) for frontend., • Must have 5+ years of enterprise SaaS leadership., • Must have experience managing a 10–30 person engineering team with at least 5 years of direct people management experience; recruiting Python and JavaScript specialists proficient in microservices. Preferred Qualifications • Experience in distributed LLM prompt and context chaining across several approach vectors and millions of input parameters., • Experience in fast moving software startup environments with high ambiguity, shifting priorities and objectives, • Experience in real estate or fintech SaaS product universe with knowledge of our customer base., • Experience designing and scaling RAG pipelines, multi-modal data ingestion flows, vector search systems, and LLM context-management architectures., • Experience building agentic AI infrastructure, including multi-step reasoning agents, tool integration, memory systems, and orchestration frameworks.

Proficient in Microsoft Outlook, Word, Wall Street Office and Geneva* Experience preferred with PowerBI, Python, and other similar technology* Direct experience partnering with the business units to ensure operational efficiency and collaborative outcomes* Experience working with an outsource/offsho

Title: Sr/Lead Golang/Python Developer.

Demonstrated experience designing and implementing automation workflows using tools such as FME, SQL, Python, ArcGIS Arcade, ArcGIS Maps SDK for JavaScript, Microsoft Power Automate.