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Mid-Data Engineer Duration: 12 month contract, will most likely be extended (No C2C or third-party submissions) Schedule: 5 days onsite Interview process: 1st round is virtual; 2nd round is one hour onsite, possibly 3rd round At The Intersect Group, we are partnering with a nationally recognized retail and consumer services organization that is investing heavily in modern data engineering, MarTech platforms, and customer experience innovation. The company values experimentation, technical rigor, and data driven decision making while building next generation capabilities that support millions of daily users. Their teams operate in a fast paced, highly collaborative environment where engineers are empowered to own meaningful solutions end to end. Summary We are seeking a Mid-Level Data Engineer to join the MarTech team responsible for building the data pipelines and platform capabilities that power customer personalization, marketing intelligence, and digital engagement. This role is highly technical and requires strong experience in designing, developing, and optimizing data pipelines within cloud and big data environments. You will collaborate closely with senior engineers, analysts, and product leaders to support new customer facing data capabilities, build modern data workflows, and ensure reliable, scalable integrations. This role requires strong communication skills, advanced analytical thinking, and the ability to translate business needs into technical solutions. Needs: • Bachelor’s degree in Computer Science Mathematics Engineering or a related quantitative field, • 3 to 5 years of experience in data engineering with strong background in data modeling and analytics, • Strong proficiency in Python SQL Spark or PySpark and experience with cloud platforms AWS, Azure, or similar, • Deep understanding of ETL concepts data lakes data warehousing streaming technologies and database design, • Hands-on experience supporting analytics workflows and business intelligence teams, • Experience with orchestration tools such as Airflow and processing frameworks such as Spark or Databricks, • Familiarity with visualization platforms such as Power BI or Tableau, • Strong communication skills and ability to translate business requirements into technical designs, • Ability to work five days on site at the client location, • Experience with Databricks is a strong plus, • Experience with customer data platforms such as HighTouch is a plus, • Candidates must be willing and able to work a W2 contract with no sponsorship for this opportunity Duties: • Design and develop data pipelines, ETL workflows, and data engineering capabilities aligned to MarTech initiatives, • Optimize existing pipelines for performance, scalability, and cost efficiency, • Build and maintain data infrastructure supporting analytics, metrics development, and business intelligence, • Collaborate with product managers, architects, and analysts to translate requirements into technical implementations, • Work with senior engineers to apply best practices in data modeling, governance, and cloud development, • Support both batch and streaming data workflows across cloud environments, • Participate in cross functional projects to deliver high quality data solutions for customer experience and marketing use cases, • Communicate effectively with technical and non-technical partners to articulate design choices and integration plans, • Stay current with industry trends and contribute ideas for new tools, frameworks, and engineering approaches, • Follow and contribute to data engineering processes, standards, and documentation

Job Description Overview: The EMS Technician – Level II is expected to have a strong foundational knowledge of the energy management and building automation industry. In addition to fulfilling all duties of an EMS Technician – Level I, this role takes on increased technical responsibilities and works under the supervision of an EMS Technician – Level III and/or a Project Manager. All tasks must align with the company's Installation and Commissioning Standards. Key Responsibilities: Core Skills: • Identify all equipment types relevant to the controls industry., • Install and apply ARC 156 rules and devices, with the ability to explain them., • Demonstrate a basic understanding of temperature and humidity control processes., • Interpret and analyze equipment schematics accurately., • Diagnose and resolve most wiring issues, including interlocks., • Navigate ALC logic to locate request sources for equipment., • Assign IP addresses to ALC routers, such as LGRs, Opti-Flex, and G Series models., • Calibrate end devices including temperature, airflow, pressure, humidity, and gas sensors., • Understand ALC modules—their functions, configurations, and applications. Technical Knowledge: • Diagnose network issues using tools like the Diag485., • Understand the basics of mechanical piping and ductwork., • Configure system runtime and equipment request logic within ALC software., • Properly install thermowells, pressure sensors, and temperature probes., • Install and understand interlock wiring for drives, high static pressure limits, and dampers., • Grasp building static pressure and differential pressure principles., • Make minor program and graphic updates in the field for smaller-scale systems., • Possess working knowledge of lighting panels and interlocks., • Begin contributing to lighting system integration and assist with lighting system checkouts., • Understand control protocols such as BACnet, Modbus, and MSTP used by the company., • Navigate full lifecycle of third-party system integrations., • Read and follow electrical one-line diagrams., • Assist Test & Balance teams (air and water) using WebCTRL and provide access for balancing activities., • Independently execute the commissioning process., • Retrieve, store, and distribute system backups in a timely and organized manner., • Assist Level III technicians or Project Managers during inspections and system presentations to clients., • Understand PID control and adjust parameters to optimize performance. Equipment Proficiency: • Identify various air handling units including: Single Zone (SZ), Multi-Zone (MZ), VAV, Dedicated Outdoor Air Units (DOAS), Makeup Air Units (MAU), Outside Air Units (OA), Energy Recovery Units (ERU), and Fan Coil Units (FCU)., • Independently perform checkout and startup for units such as: SZAHU, DDAHU, MAU, FCU., • Perform checkout and startup with guidance for: MZAHU, VAVAHU, ERU, OA., • Commission a range of fan applications including Outside Air (OA), Supply Air (SA), Return Air (RA), Exhaust Fans (EF), Toilet Exhaust Fans (TEF), garage, and stairwell fans., • Have an early understanding of central plant systems and related components., • Assist with mission-critical system checkouts and commissioning tasks. Leadership & Professional Attributes: • Begin taking on leadership responsibilities by guiding Level I technicians and supporting team assignments., • Manage multiple tasks across different projects efficiently and effectively.

Job Description Elite Residential HVAC Service Technician Texas AirZone – Dallas, Texas This position is not an entry level position. Texas AirZone is searching for a top-performing Residential HVAC Service Technician who understands HVAC systems at a deeper level and takes pride in solving real comfort problems for homeowners. We are looking for professionals who can diagnose, design, and deliver solutions, not just swap parts. What We’re Looking For • 5+ years residential HVAC service experience, • Advanced diagnostic and troubleshooting ability, • Understanding of airflow, duct design, and system performance, • Ability to explain solutions clearly to homeowners, • Must have well-equipped professional HVAC tools, • Earning potential up to $150,000+, • Company vehicle, • Medical and dental benefits, • 401(k) retirement plan, • Paid vacation and holidays If you are a technician who wants to work with a company that values skill, quality, and long-term success, this opportunity may be a great fit. Looking forward to talking with you about this.

Job DescriptionThe Facilities Technician position will effectively and efficiently operate and maintain all building functions, including performing maintenance from tenant requests, and carrying out all JCC responsibilities for site with support from the Director of Building and Grounds. This position is part time classified as fulltime, non-exempt with benefits. The Jewish Community Center is an equal opportunity employer (EOE). ESSENTIAL FUNCTIONS: • Maintains good tenant and member relations through prompt and courteous response to requests or work orders within the guidelines set forth by JCC., • Performs general maintenance and operation of all building equipment, including HVAC systems, plumbing systems, electrical systems, lighting systems, dock equipment, building automation systems, etc., • Monitors systems for potential problems (or existing problems) and formulates solutions to present to the Maintenance Supervisor for appropriate action., • Completes all maintenance in a safe manner. Identifies and reports areas of concern or best practices., • Emergency Response Duties – position is considered “on call" for any site emergencies., • Maintains ethical, professional and courteous relations with contractors., • Acts as a team member with all employees of the management staff., • Purchases parts and supplies according to company policy as directed by the Maintenance Supervisor., • Attends weekly team meetings and complies with all written JCC policies and procedures., • Preserves the integrity of all mechanical spaces., • Executes preventative maintenance responsibilities including record keeping., • Walks up and down stairs or ladders for inspections and emergency procedure practice or implementation., • Capable of climbing ladders to adjust airflow and make inspections above the ceiling., • Detects emergency alarms - auditory and/or visual., • Inspects machinery and building, including rooftops., • Ability to work weekends, some nights and extended hours as needed. ESSENTIAL PHYSICAL ABILITIES: The physical demands described here are representative of those needed for the employee to succeed in performing the essential functions of this job. While performing the duties of this job, the employee is regularly required to see, read, talk, and hear. The employee is frequently required to stand; walk; use stairs; climb ladders; get on hands and knees; use hands and fingers, handle or feel; and reach with hands and arms. On a less frequent basis but still essential must be able to lift up to 50 pounds. Capable of utilizing scissor or boom lifts. ESSENTIAL KNOWLEDGE AND SKILLS: • Reads and understands equipment instruction manuals., • Uses proper English when interacting with tenants and members., • Communicates essential information needed for decision-making., • Interprets a variety of instructions furnished in written, oral or schedule form., • Understands basic building system design and operation, i.e., fire system, domestic water system, HVAC system, plumbing and electrical distribution system., • Identifies and resolves mechanical problems., • Able to read and interpret blueprints and schematics. REQUIRED EXPERIENCE AND EDUCATION: • Proficiency in one trade area preferred i.e. HVAC, plumbing, carpentry, electric., • Detail oriented and well organized, with ability to plan projects, activities and schedule several months in advance., • Provide excellent customer service and team support. Dedicated to punctuality, reliability, friendliness and helpfulness., • Professional in appearance, manner and tone., • A team player who possesses the ability to work in a collaborative environment., • Must have valid Texas driver’s license and reliable transportation., • Ability to effectively and professionally communicate with client contacts., • High School Diploma or GED required.

Job DescriptionDescription: As a Design Team Mechanical Engineer, you will support the design and delivery of mechanical systems for data center projects, ensuring they meet operational, safety, and reliability standards. This role involves close coordination with internal teams and external partners to develop scalable and efficient HVAC and cooling solutions that align with project goals and schedule demands. Requirements: · Bachelor’s degree in Mechanical Engineering with an emphasis on data center mechanical systems and mission-critical facilities. · Revit BIM design experience required, including coordination of large-scale mechanical rooms, central plants, and equipment layouts. · Proficiency in data center cooling system design, including air-based and liquid-based cooling strategies, chilled water plants, DX systems, rear-door heat exchangers, and direct-to-chip cooling. · Experience performing thermal load calculations, airflow modeling, and energy analysis using tools such as HAP, TRACE, IES, CFD software, or similar platforms. · Strong background in the design, construction, testing, and commissioning of mission-critical mechanical systems, including chillers, pumps, cooling towers, AHUs, CRAH/CRAC units, and associated control systems. · Preferred qualifications include a Professional Engineering (PE) license. · Demonstrated experience with redundancy strategies (N, N+1, 2N), maintainability, and fault-tolerant design for data center environments. · Knowledge and experience in estimating, mechanical system design, operation, and commissioning of data center cooling plants, including integrated systems testing (IST) and development of MOPs and SOPs. · Familiarity with data center performance metrics, including PUE, WUE, and strategies to optimize energy and water efficiency. · Minimum 5 years’ experience in the A/E industry, with direct experience supporting hyperscale, colocation, or enterprise data center projects preferred. · Comprehensive understanding of professional services from conceptual planning and site selection through detailed design, construction administration, and project close-out. · Strong written and verbal communication skills, organizational skills, and the ability to lead, mentor, and develop technical staff. · Familiarity with sustainable and resilient design approaches, including free cooling, heat recovery, and climate-responsive system selection. · Passion for improving delivery speed, standardization, and repeatable design solutions for data center programs. · Proficient with Microsoft Productivity Suite products. Job Responsibilities · Lead and support mechanical design efforts across the full project lifecycle—from concept development through commissioning—focused on chilled water systems, air distribution, and equipment layout for data centers. · Coordinate closely with Development, Procurement, Construction, and Operations teams, as well as Engineers of Record (EoRs), consultants, and contractors to resolve design issues and maintain alignment across disciplines. · Research and develop emerging trends and advanced technologies to improve thermal management, HVAC systems, and mechanical infrastructure for enhanced performance and energy efficiency in data centers. · Review and manage mechanical design documentation, including drawing sets, piping schematics, airflow diagrams, shop drawings, submittals, and commissioning reports. · Ensure all mechanical systems comply with project requirements, internal standards, ASHRAE guidelines, and local building codes. · Track and report on design progress, holding partners accountable to key milestones and deliverables. Proactively identify schedule risks and recommend solutions to stay on track. · Support cost estimation and change management for mechanical scope, including evaluating value engineering proposals and reviewing EoR scopes and resources. · Participate in factory witness testing, site inspections, TAB, and commissioning activities to confirm system readiness and integration with building management systems. · Collaborate with other engineering disciplines to ensure mechanical systems are well-integrated with electrical, structural, and controls designs. · Maintain accurate project records, track technical decisions, and provide routine updates to internal stakeholders. · Contribute to project risk assessments by identifying mechanical-related risks and mitigation strategies. · Assist in onboarding new team members and sharing design standards, workflows, and technical best practices. · Support continuous improvement by incorporating lessons learned and contributing to updates of internal design tools, templates, and processes. · Partner with the construction team during field execution to provide technical guidance and resolve installation challenges. · Work with the operations team to support system handover, provide design intent context, and help ensure maintainability and operability of mechanical systems post-turnover.

Job DescriptionAbout Lantern Lantern is the specialty care platform connecting people with the best care when they need it most. By curating a Network of Excellence comprised of the nation's top specialists for surgery, cancer care, infusions and more, Lantern delivers excellent care with significant cost savings to employers and their workforces. Lantern also pairs members with a dedicated care team, including Care Advocates and nurses, for the entirety of their care journey, helping them get back to good health, back to their families and back to work. With convenient access to specialists nationwide, Lantern means quality care is within driving distance for most. Lantern is trusted by the nation's largest employers to deliver care to more than 6 million members across the country. Learn more about us at lanterncare.com. About You: • You use LOGIC in your decision making and understand that progress is critical to making change. You focus on the execution of your content while balancing a fast-paced environment and you take the time to celebrate both the small & big wins., • INCLUSION is a core tenant of your personal beliefs. A diverse and inclusive environment is incredibly important to you. You understand and desire to be a part of a diverse team with different experiences and perspectives & you cherish the differences in each individual that you interact with., • You have the GRIT, drive and ambition to tackle big problems. Big problems require big ideas and a team that supports new ideas., • You care deeply for your customers are driven to keep HUMANITY in all decisions. Your customers aren't just the individuals using your product. They are the driving factor in your motivation to make a change., • Integrity guides you in life. Focusing on the TRUTH vs. giving people the answers they want to hear. If this sounds like you, we would love to connect to speak further about career opportunities at Lantern. Please apply to our role & someone from our Talent Acquisition Team will reach out to help you navigate our interview process. Analytics Engineering, Sr. Manager Reports to: Director of Data JOB OVERVIEW The Senior Manager of Analytics Engineering leads the delivery of a trusted, scalable analytics foundation that enables analytics teams across Lantern to confidently self-serve insights. This role owns the quality, consistency, and adoption of enterprise data models in a Databricks Lakehouse, ensuring data is reliable, performant, and aligned to business decision-making. This is a hands-on leadership role for a builder who enjoys shaping data architecture, defining analytical products, and developing high-performing teams. Success is measured by data trust, metric alignment, and business impact, making this role ideal for a leader who thrives at the intersection of analytics, engineering, and cross-functional collaboration. Location: Dallas, TX - Hybrid schedule (3x in office per week) Responsibilities: As the leader of the Analytics Engineering Team: Enterprise Data Modeling & Analytics Architecture • Design, build, and evolve enterprise data warehouse models using medallion architecture (Bronze, Silver, Gold) with SQL and dbt, balancing normalized and denormalized structures to ensure data reliability, consistency, performance, and usability., • Define and deliver the data warehouse as a product, aligning model design, availability, and performance to the needs of business stakeholders., • Develop and maintain data architecture within the Databricks Lakehouse, leveraging external tables, streaming tables, views, materialized views, and volumes to support analytical and operational use cases., • Establish and maintain a robust testing framework to validate new models and perform regression testing on changes, preventing downstream data issues., • Develop and enforce data quality tests to ensure accuracy, completeness, and freshness; detect data drift; and identify data quality issues requiring stewardship intervention., • Work closely with Finance, Strategy, Commercial, and Operations leaders to ensure shared definitions, aligned KPIs, and transparent assumptions across reporting and analytics., • Act as a trusted partner in shaping analytical requirements, reducing friction between technical and non-technical stakeholders, and enabling confident self-service., • Lead, mentor, and develop a team of Analytics Engineers who support and enable Business Analysts across the organization., • Manage the data needs backlog, prioritizing work to ensure timely delivery of high-value data assets while adapting to evolving business priorities., • In partnership with Data Engineering, monitor query performance and data pipeline behavior, making recommendations to improve models, data flows, and queries to meet defined SLAs., • Ensure strong SDLC practices, including version control, code review, CI/CD, and safe deployment of production analytics models., • Maintain secure, compliant, and well-governed analytical data, particularly when working with sensitive healthcare data (PII/PHI), while minimizing friction for analytics use cases. Requirements: Required • 7+ years of experience in analytics engineering, data engineering, or data architecture roles., • 3+ years of people leadership or team management experience., • Deep expertise with cloud data platforms (Databricks, Snowflake), dbt (core or Cloud), and SQL-based data modeling., • Strong understanding of working with and protecting sensitive data (PII, PHI, Healthcare) while also allowing analytics use cases to operate without friction., • Proven ability to work cross-functionally with analysts in operations, marketing, finance, and strategy teams to develop high-quality data for analytics., • Familiarity with modern data governance frameworks and metadata management tools., • Hands-on experience implementing automated data quality at scale (Soda preferred)., • Experience with orchestration tools (e.g., Azure Data Factory, Airflow) and CI/CD pipelines (GitHub Actions, Azure DevOps)., • Knowledge of HIPAA compliance, PHI handling, and healthcare regulatory considerations. Benefits • Medical Insurance, • Dental Insurance, • Vision Insurance, • Short & Long Term Disability, • Life Insurance, • 401k with company match, • Paid Time Off, • Paid Parental Leave Lantern does not discriminate on the basis of race, sex, color, religion, age, national origin, marital status, disability, veteran status, genetic information, sexual orientation, gender identity or any other reason prohibited by law in provision of employment opportunities and benefits.

Job DescriptionBenefits: • ONSITE, • Competitive salary About the Role We are looking for a Technical Product Manager, AI Infrastructure & Data Platform to lead the vision, strategy, and execution of our enterprise-scale AI infrastructure and data ecosystem. This role blends deep technical expertise in AI/ML systems with strategic product leadership, ensuring the design and delivery of scalable, secure, and efficient data and AI platforms that power our next-generation agentic and generative AI capabilities. You will collaborate with engineering, data science, and architecture teams to deliver reliable and high-performance foundations for AI products across the organization spanning model orchestration, multi-agent coordination, data pipelines, and ML lifecycle management. This position is ideal for a seasoned product leader passionate about building enterprise-grade AI infrastructure, driving platform adoption, and enabling data-driven innovation at scale. Key Responsibilities Platform Vision & Strategy: • Define and execute the product vision and roadmap for the AI Infrastructure & Data Platform, aligning with enterprise AI and digital transformation strategies., • Lead the evolution of the underlying data fabric, MLOps, and agentic infrastructure enabling large-scale AI model training, deployment, and automation., • Partner with engineering and architecture teams to establish standardized agent frameworks, API ecosystems, and developer-facing tools., • Evaluate emerging technologies (e.g., AWS Bedrock, SageMaker, LangChain, LangGraph) and integrate them into the platform strategy.Product Delivery & Execution, • Translate business and technical requirements into actionable epics, features, and prioritized backlogs., • Partner with program management on PI Planning, dependency mapping, and milestone definition for each release cycle., • Drive the development and adoption of reusable data pipelines, orchestration layers, and service APIs that power enterprise AI applications., • Collaborate with Change Management to ensure readiness for platform releases, documentation, and stakeholder training.Data & ML Platform Enablement, • Define and manage the data platform strategy, including ingestion, governance, lineage, cataloging, and real-time data access., • Enable consistent, high-quality, and auditable data pipelines for AI and ML workloads., • Partner with AIOps/AgentOps to build systems for agent evaluation, observability, and performance monitoring., • Collaborate with Security, Compliance, and Legal to uphold enterprise AI governance standards and responsible AI practices., • Stakeholder & Customer Engagement, • Collaborate with enterprise teams, data scientists, and engineers to identify pain points, gather feedback, and validate product-market fit., • Communicate product vision and technical trade-offs effectively to executive, business, and technical audiences., • Bachelor's or Master's degree in Computer Science, Engineering, or a related technical discipline.Experience, • 8+ years of product management experience, with at least 3 years focused on AI/ML platforms, data infrastructure, or cloud systems., • Proven track record of delivering scalable platform products in complex enterprise environments., • Deep experience with cloud platforms (AWS, Azure, GCP), data pipeline tools, and modern MLOps ecosystems., • Familiarity with agentic AI frameworks, LLM architectures, RAG pipelines, and autonomous systems.Technical Skills, • Strong understanding of distributed systems, APIs, microservices, and data integration architectures., • Hands-on experience or working knowledge of:, • AWS Bedrock, SageMaker, Lambda, ECS, EMR, • LangChain, LangGraph, or similar agentic frameworks, • Airflow, Databricks, Kafka, Spark, and Delta Lake, • Monitoring and observability tools (Prometheus, Grafana, MLflow), • Knowledge of data governance, lineage tracking, and responsible AI frameworks., • Soft Skills, • Exceptional communication, collaboration, and stakeholder-management skills., • Strong analytical and strategic thinking; able to balance short-term delivery with long-term platform evolution., • Adept at translating complex technical concepts into clear business value propositions., • Passionate about building developer-centric, scalable, and ethical AI systems.Why Join Us, • Be part of a high-impact Agentic AI initiative driving innovation across industries., • Work with cutting-edge AI and data technologies in a collaborative, forward-thinking environment., • Shape the foundation for enterprise-wide AI enablement and intelligence automation.

Job DescriptionBenefits: • Hybrid, • Competitive salary Overview We are looking for an experienced AWS Data Engineer with strong expertise in ETL, cloud migration, and large-scale data engineering. The ideal candidate is hands-on with AWS, Python/PySpark, and SQL, and can design, optimize, and manage complex data pipelines. This role requires collaboration across teams to deliver secure, scalable, and high-quality data solutions that drive business intelligence and operational efficiency. Key Responsibilities • Design, build, and maintain scalable ETL pipelines across AWS and SQL-based technologies., • Assemble large, complex datasets that meet business and technical requirements., • Implement process improvements by re-architecting infrastructure, optimizing data delivery, and automating workflows., • Ensure data quality and integrity across multiple sources and targets., • Orchestrate workflows with Apache Airflow (MWAA) and support large-scale cloud migration projects., • Conduct ETL testing, apply test-driven development (TDD), and participate in code reviews., • Monitor, troubleshoot, and optimize pipelines for performance, reliability, and security., • Collaborate with cross-functional teams and participate in Agile ceremonies (sprints, reviews, stand-ups). Requirements • 812 years of experience in Data Engineering, with deep focus on ETL, cloud pipelines, and Python development., • 5+ years of hands-on coding with Python (primary), PySpark, and SQL., • Proven experience with AWS services: Glue, EMR (Spark), S3, Lambda, ECS/EKS, MWAA (Airflow), IAM., • Experience with AuroraDB,DynamoDB Redshift, and AWS Data Lakes., • Strong knowledge of data modeling, database design, and advanced ETL processes (including Alteryx)., • Proficiency with structured and semi-structured file types (Delimited Text, Fixed Width, XML, JSON, Parquet)., • Experience with ServiceBus or equivalent AWS streaming/messaging tools (SNS, SQS, Kinesis, Kafka)., • CI/CD expertise with GitLab or similar, plus hands-on Infrastructure-as-Code (Terraform, Python, Jinja, YAML)., • Familiarity with unit testing, code quality tools, containerization, and security best practices., • Solid Agile development background, with experience in Agile ceremonies and practices. Flexible work from home options available.

Job DescriptionWho We Are: At Emburse, you’ll not just imagine the future – you’ll build it. As a leader in travel and expense solutions, we are creating a future where technology drives business value and inspires extraordinary results. Our AI-powered platform helps organizations modernize financial operations, increase visibility, and optimize spend across the enterprise. Emburse SDETs contribute to the development of an engaging and interconnected set of system solutions. As an engineer, you will enhance the experiences of your customers, solve interesting challenges, and design new solutions. Emburse, known for its innovation and award-winning technologies, is strong on engineering. This ensures you will have access to the best and brightest minds in our industry to grow your experience and career within Emburse.What you will do : • Technical, • Data testing & validation: Design, implement and maintain unit, integration, regression, pipeline, acceptance and data-quality tests for ETL/ELT jobs, streaming pipelines and data services (batch and real-time)., • Automation: Build and own test automation frameworks and test harnesses for data pipelines (e.g., Python/pytest, dbt tests, Great Expectations), including synthetic dataset generators, golden datasets and fixture management., • Data systems: Deep experience testing data platforms and tooling: cloud data systems (Snowflake, BigQuery, Redshift, Microsoft Fabric), relational databases (MS SQL) and cloud providers like Azure , orchestration tools (Airflow), and columnar file formats (Parquet, Avro, ORC)., • SQL & code: Expert in SQL for analytical validation and in at least one programming language used for data engineering such as Python. Build scripts, tools and automation to validate schema, data lineage, transformations, aggregation correctness, null/missing value handling and performance characteristics., • Observability & monitoring: Implement automated checks and alert logic for data freshness, schema drift, volume anomalies and metric regressions using observability/data quality tools (e.g., Great Expectations, Monte Carlo, custom monitoring)., • Performance & scale testing: Design and run performance, throughput and scalability tests for pipelines and data services; profile and tune ETL jobs and queries to identify bottlenecks., • Data contracts & governance: Work with engineering and product teams to enforce data contracts, contract tests for data APIs, and validate PII handling, access controls and compliance requirements., • Debugging & triage: Investigate, reproduce and document data defects, root causes and remediation plans; apply production debugging skills against ETL jobs, queries and logs., • Process, • Follow SDLC and agile practices, including writing and reviewing tests as code, peer code reviews, CI/CD pipeline integration of tests, and release gating based on automated data quality checks., • Maintain and follow coding and test case management standards; ensure test suites are deterministic, reproducible and fast enough to run in CI and nightly/rolling regression schedules., • Own quality for analytics deliverables and data platform features within your area. Establish test strategies and define appropriate test coverage for pipelines, models and metrics., • Drive improvements in data quality and reliability through automation, test architecture, and proactive detection of data problems., • Contribute to data documentation (data dictionaries, lineage diagrams, assumptions) and raise the bar for data governance and observability across teams., • Communication, • Collaborate with Data Engineers, Analytics Engineers, Data Scientists, Product Managers and Platform Engineers to design tests and validate business logic in analytical pipelines., • Explain technical tradeoffs, testing coverage and risk to non-technical stakeholders and suggest pragmatic compromises when necessary., • Produce clear, evidence-based defect reports and remediation plans; participate in post-mortems focused on data incidents.Education & Experience :, • Education:, • Required: 4+ years of testing or SDET experience with a strong emphasis on data systems and analytics. Demonstrated experience writing tests for data pipelines, validating analytical outputs, or building test frameworks for ETL/ELT processes., • Required: Proficiency in SQL and at least one general-purpose programming language used for data processing (Python preferred; Scala/Java acceptable)., • Required: Experience with cloud data warehouses (e.g., Snowflake, BigQuery, Redshift), and familiarity with at least one orchestration or streaming technology (Airflow, Kafka, Spark)., • Preferred: Experience with dbt, data observability platforms (e.g., Monte Carlo), data modeling, and analytical/BI tools (Looker, Tableau, PowerBI, etc.). Experience testing ML models, A/B test validation, or statistical methods is a plus., • Experience within Travel industryWhat we are looking for :, • Strong SQL skills for complex analytical validation: joins, window functions, aggregation correctness and performance tuning., • Proficient in Python for test automation, data manipulation (pandas/pyarrow), and building test harnesses., • Demonstrable experience designing automated data quality checks and defining acceptance criteria for analytics deliverables., • Experience with CI/CD systems (GitHub Actions, Jenkins, CircleCI) and integrating test runs into pipelines., • Familiarity with data formats (JSON, Avro, Parquet) and schema evolution strategies., • Solid understanding of distributed data processing, consistency, eventual consistency tradeoffs, and data lineage., • Ability to reason statistically about datasets—detecting outliers, sampling strategies, and validating model/metric correctness., • Excellent debugging skills across code, SQL, job logs and metadata; ability to produce reproducible test cases and remediation paths.

Job Description We are PMG Named Ad Age Best Places to Work for 11 years in a row and Fast Company Best Workplaces for Innovators since 2022, PMG is a global independent marketing services and technology company that seeks to inspire people and brands that anything is possible. Driven by shared success, PMG leverages business strategy and transformation, creative, media, and insights—as well as its proprietary operating system, Alli—to deliver cutting-edge digital solutions and innovative media strategies. Our team comprises over 900 employees globally, and our work for ambitious brands like Apple, Nike, Sephora, Experian, Therabody, Best Western Hotels & Resorts, Creed Fragrances, BNY, Intuit, CKE Restaurants, Travelex, and Whole Foods spans 85+ countries. Who You Will Be Working With The AI & Software Engineer III plays a critical role in designing, building, and maintaining core systems that power PMG's data and AI ecosystem. This position focuses on developing and optimizing scalable data pipelines, managing data ingestion and transformation processes, and supporting the integration of internal and external data sources. You'll work closely with engineers, data analysts, and product teams to ensure the reliability, performance, and accessibility of data that drives insights and intelligent automation across the organization. The role is ideal for someone who thrives at the intersection of software engineering, data infrastructure, and AI-driven innovation. What You'll Be Doing Data Systems & Pipeline Development • Design, build, and maintain scalable data ingestion systems connecting multiple internal and external data sources., • Develop and manage data workflows across cloud-based platforms such as AWS S3 and Snowflake., • Implement robust ELT pipelines using modern tools and frameworks (e.g. dbt, Snowflake etc)., • Ensure data quality, integrity, and consistency across systems, implementing validation and monitoring mechanisms., • Contribute to the design and implementation of APIs and internal services that support PMG's broader product ecosystem., • Write clean, efficient, and testable code in modern languages (with a focus on Python)., • Apply software engineering best practices — including version control, testing, observability, and deployment automation., • Participate in code reviews and architectural discussions, surfacing potential risks or improvements., • Integrate AI and automation techniques into engineering workflows where applicable, improving efficiency and insight generation., • Work cross-functionally with product, technology, and commercial teams to translate requirements into technical solutions., • Mentor early-career engineers by providing code feedback, technical guidance, and documentation support., • Contribute to improving team processes, standards, and tooling for long-term scalability., • Communicate effectively with both technical and non-technical stakeholders., • Identify opportunities to leverage automation and AI tools to streamline data operations and decision-making. Required • 5+ years of experience in software or data engineering, with strong coding skills in Python or a similar language., • Demonstrated experience designing, implementing, and maintaining data pipelines (ETL/ELT)., • Proficiency with SQL and data modeling for analytics and warehousing., • Hands-on experience with cloud data platforms (Snowflake, Redshift, BigQuery, or similar)., • Familiarity with cloud services (AWS preferred, including S3, Lambda, ECS, EC2, etc.)., • Experience with dbt or equivalent data transformation frameworks., • Strong problem-solving skills, attention to detail, and ownership mindset., • Experience with workflow orchestration tools such as dbt Cloud or Airflow., • Experience scaling production data ingestion systems, • Exposure to DevOps and CI/CD practices for data or application deployments., • Experience in a marketing, analytics, or SaaS environment., • You independently own and deliver critical data systems and services that power AI and analytics across the organization., • You proactively identify and implement improvements to data reliability, performance, and automation., • You contribute to the culture of technical excellence and continuous learning within the engineering team., • Your work accelerates PMG's ability to use data and AI to deliver smarter, faster, and more efficient solutions. What We Offer • Professional Development: Take advantage of our learning and development programs, mentorship opportunities, and career advancement support., • Generous Time Off: Enjoy generous paid time off and holiday allowances to recharge and spend time with loved ones., • Parental Leave: We provide paid parental leave to support your family during important life events., • Retirement & Pension Plans: Plan for your future with competitive retirement or pension programs, including contribution matching., • Fertility and Family Support: Access fertility benefits for all team members and their spouses., • Healthcare: Coverage and support for everyday medical expenses and routine care, tailored by geography., • Pet Insurance: Protect your pet's health and your finances., • Lifestyle Spending Accounts: Enjoy 100% company-funded accounts to promote healthy habits and well-being., • Commuter Benefits: Access support for travel and commuting needs, where available., • Annual Bonus: All employees are eligible for an annual bonus., • Volunteering Opportunities: Receive 8 give-back hours to volunteer in your local communities., • AI Enterprise License: Access AI Enterprise accounts and participate in weekly AI training sessions to empower and ensure AI safety. Benefits vary by country, location, and geography to reflect local laws, norms, and expectations. What Sets Us Apart Being part of PMG means joining a company culture that's unmatched in digital. We're dedicated to working hard to serve our employees and clients, delivering value, results, and innovation—which often requires true grit and agility. We believe in taking care of ourselves and each other to continuously improve in every way. In alignment with our core values to be inclusive and always change for the better, PMG is committed to creating a more diverse and inclusive culture, and we are proud to be an equal opportunity employer. We believe that we only change for the better by bringing diverse perspectives to our company. PMG recruits, employs, trains, compensates, and promotes regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.

Job Description At LiquidStack, we're redefining what's possible in the data center world. As a global leader in advanced liquid cooling solutions, we're powering the future of AI, edge computing, and high-performance systems. Our team is growing, and we're looking for skilled professionals who want to be part of something innovative and impactful. LiquidStack is scaling its R&D organization to advance liquid cooling and high-performance thermal solutions for data center and computing environments. We are seeking a mid-level Thermal Engineer to take hands-on ownership of the design, analysis, testing, and validation of thermal systems across both current products and next-generation platforms. In this role, you will work end-to-end on thermal challenges — from thermal analysis and modeling to prototyping, lab testing, and data correlation — partnering closely with mechanical, electrical, firmware, manufacturing, and service teams. Your work will directly influence product performance, reliability, and how solutions are deployed in real customer environments. This position is ideal for an engineer with 3–5 years of experience who is comfortable working independently, thrives in a collaborative environment, and is ready to grow into broader system-level responsibility as LiquidStack scales. As the organization evolves, this role offers increasing scope, visibility, and the opportunity to help shape how thermal engineering is executed across the company. Engineers who succeed at LiquidStack are Flexible and Agile in adapting to change, Driven to own outcomes, Collaborative across disciplines, and Customer-Centric and Attentive in using data, testing, and clear communication to solve complex thermal problems. (LiquidStack does not provide visa sponsorship now or in the future.) ESSENTIAL DUTIES AND RESPONSIBILITIES Thermal Design & Analysis • Design and develop thermal solutions for servers, electronics, and data center cooling systems, with a strong emphasis on liquid cooling technologies, • Define thermal architectures that balance performance, reliability, manufacturability, and cost, • Develop and execute thermal test plans using lab equipment, sensors, and data acquisition systems, • Analyze test data to validate performance against requirements and customer use cases, • Support the setup and execution of thermal tests using lab equipment, sensors, and data acquisition systems, • Assist with building prototypes and executing test plans to validate thermal designs, • Collect, organize, and analyze test data to evaluate performance against requirements Collaboration & Documentation • Work closely with mechanical, electrical, firmware, and operations teams to integrate thermal solutions into products., • Support integration of thermal solutions into production hardware and field deployments, • Produce clear technical documentation, test reports, and design summaries, • Present findings and recommendations in design reviews and cross-functional forumsRequired Skills & Experience, • Bachelor's degree in Mechanical Engineering, Thermal Engineering, or a related discipline., • 3-5 years of experience in thermal engineering, HVAC, electronics cooling, or related engineering roles (including internships or co-op experience), • Foundational knowledge of:, • Heat transfer and thermodynamics, • Fluid mechanics and airflow principles, • Thermal cycles (e.g., sensible cooling, evaporative effects, • Proficiency with CFD or thermal analysis tools (e.g., ANSYS, Icepak, Fluent, FloTHERM, or similar), • Experience with CAD tools such as SolidWorks or AutoCAD, • Hands-on experience with lab testing, sensors, or data acquisition systems, • Strong problem-solving mindset and willingness to learn through hands-on experimentation, • Clear written and verbal communication skills.Preferred Skills, • Exposure to data center cooling, electronics thermal management, or liquid cooling technologies, • Familiarity with ASHRAE guidelines related to data centers or thermal systems, • Python, MATLAB, or similar tools for data analysis, • Internship, co-op, or early-career experience in an R&D or product development environment Why Join Us? • Competitive pay with opportunities for overtime, • Consistent day-shift schedule, • Paid time off, holidays, and great benefits, • Be part of an industry-disrupting company with room to grow, • Work on innovative technologies in a collaborative, supportive environment

Job DescriptionMechanical Engineer (PE) MECHANICAL ENGINEER - PE LICENSE (Or willing to obtain a PE License in Texas) Location: In person (Potentially Hybrid) Employment Type: Full time Compensation: $85,000 to $105,000 annually + Bonus POSITION OVERVIEW We are seeking a motivated Mechanical Engineer (PE) with strong experience in HVAC system design and Revit MEP modeling to support residential and light commercial projects. This role involves mechanical system design, BIM development, construction documentation, and coordination with multidisciplinary teams. This position is well suited for a mid career engineer looking to advance technical expertise and take on increased project responsibility within a growing MEP engineering practice. KEY RESPONSIBILITIES Mechanical System Design Design HVAC and plumbing systems for residential and light commercial buildings Perform heating and cooling load calculations and engineering analyses Select and size mechanical equipment including heat pumps, air handlers, rooftop units, boilers, and pumps Design air distribution systems including duct sizing, airflow, and static pressure calculations Design plumbing systems including domestic water, sanitary drainage, and vent systems Revit MEP and BIM Modeling Develop and maintain Revit MEP models for HVAC and plumbing systems Create coordinated BIM layouts for ductwork, piping, and equipment Generate construction documents and detailed mechanical drawings from Revit models Support internal BIM standards and Revit family development BIM and Project Coordination Coordinate mechanical designs with architectural, structural, and electrical teams Identify and resolve clashes and coordination issues within BIM models Participate in interdisciplinary coordination and project meetings Engineering and Construction Support Perform engineering calculations using industry tools such as Carrier HAP and Wrightsoft Apply applicable codes and standards including ASHRAE Review contractor submittals and shop drawings Respond to RFIs and provide technical support throughout construction REQUIRED QUALIFICATIONS Bachelor's degree in Mechanical Engineering Active Professional Engineer (PE) license in the United States 5 to 8 years of mechanical engineering experience in building systems Strong proficiency in Autodesk Revit MEP Experience designing HVAC and plumbing systems for residential or commercial buildings Willingness to obtain additional state licensure through comity as required PREFERRED QUALIFICATIONS PE license in Texas or ability to obtain Texas licensure quickly Experience with residential, multi family, or mixed use developments Familiarity with Navisworks or BIM coordination tools Background in a consulting engineering environment KEY SKILLS HVAC system design Mechanical engineering analysis Revit MEP and BIM coordination Construction documentation Cross disciplinary collaboration BENEFITS Company paid medical and dental insurance Health Savings Account Vision coverage Company paid life and disability insurance Voluntary life, accident, and critical illness coverage Pet and car insurance options 401(k) with employer match Paid Time Off and holidays Tuition reimbursement Employee Assistance Program Employee discount programs If you are a Mechanical Engineer with a PE License or willing to obtain a PE License in the state of Texas and have the required qualifications please emial your resume to: Benefits • For this position, you must be currently authorized to work in the United States without the need for sponsorship for a non-immigrant visa. This job was first posted by CyberCoders on 03/17/2026 and applications will be accepted on an ongoing basis until the position is filled or closed.CyberCoders is proud to be an Equal Opportunity Employer All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, sexual orientation, gender identity or expression, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, status as a crime victim, disability, protected veteran status, or any other characteristic protected by law. Our hiring process includes AI screening for keywords and minimum qualifications. Recruiters review all results. CyberCoders will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable state and local law, including but not limited to the Los Angeles County Fair Chance Ordinance, the San Francisco Fair Chance Ordinance, and the California Fair Chance Act. CyberCoders is committed to working with and providing reasonable accommodation to individuals with physical and mental disabilities. Individuals needing special assistance or an accommodation while seeking employment can contact a member of our Human Resources team at to make arrangements.

Job Description Hybrid: Travel: 20% Join the Maverick Power Team! At Maverick Power, we don’t just build power distribution solutions—we redefine industry standards. Recognized on the 2025 Inc. 5000 list as #16 in the U.S., #2 in Manufacturing, and #1 in Texas, we are committed to driving innovation, quality, and speed. With multiple manufacturing facilities across North Texas and Phoenix, we are expanding rapidly and looking for top talent to grow with us If you are ready to be part of a high-energy, solutions-driven team where your work makes an impact, Maverick Power is the place for you. What We Offer: • Competitive Salary + Bonus Potential!, • Paid Time Off, 401K Matching, Medical, Dental, and Vision Benefits!, • High-growth organization with advancement opportunities! The Mechanical Design Engineer supports the specification, design, and integration of modular power solutions including E-Houses (modular electrical buildings), Power Distribution Centers (PDCs), and Medium Voltage/Low Voltage skids for mission-critical applications. In this role you will work alongside senior engineers to develop mechanical layouts, HVAC/ventilation concepts, equipment integration details, and manufacturing-ready documentation. You will be exposed to complete modular electrical-room systems that may include switchboards, ATS, UPS, battery rooms, HVAC, fire detection/suppression interfaces, and lithium-ion battery-related mechanical features. Key Responsibilities: • Create and update 2D/3D mechanical layouts for E-Houses and skid-mounted modules (equipment placement, access clearances, openings, penetrations)., • Coordinate mechanical interfaces with electrical equipment (switchboards, transformers, UPS, batteries, cable trays, conduit entry, grounding interfaces)., • Assist with heat load estimates and HVAC sizing support (collect equipment heat loads, document assumptions, support calculations)., • Lay out HVAC equipment, ducting/air distribution components, louvers, and ventilation paths to meet temperature and air quality requirements., • Support mechanical documentation packages including general arrangement drawings, installation details, and bill-of-material inputs., • Participate in design reviews to ensure maintainability, safe access/egress, and mechanical-code considerations are addressed., • Respond to internal shop questions (RFIs) and update drawings as designs evolve through fabrication., • B.S. in Mechanical Engineering (or related engineering discipline)., • Minimum of 2 years of mechanical design experience (internships/co-ops in industrial equipment, modular buildings, HVAC, or fabrication are highly valued)., • Working knowledge of basic engineering fundamentals (heat transfer, airflow, mechanical layouts, materials)., • Exposure to modular E-Houses, electrical rooms, data center power modules, or skid-mounted industrial equipment., • Basic familiarity with HVAC equipment selection concepts and equipment-room environmental control., • Coursework or project exposure related to fire protection, life safety systems, or building codes., • Experience reading equipment submittals and coordinating vendor data into drawings., • Must be able to lift up to 50 pounds at a time. EEO/AAP Statement We acknowledge and honor the fundamental value and dignity of all individuals. Maverick Power is an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. The above is intended to describe the general content of and requirements for the performance of this job. It is not to be construed as an exhaustive statement of duties, responsibilities, or physical requirements. Nothing in this job description restricts management’s right to assign or reassign duties and responsibilities to this job at any time. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Job DescriptionDescription: Description At TelyRx, we're revolutionizing access to essential medications by combining cutting-edge technology with a patient-centered approach. Inspired by our mission of "A Faster Way to Wellness," we strive to simplify healthcare and provide seamless, hassle-free access to the medications people need. As a Data Engineer, you will be responsible for designing, building, and maintaining the data infrastructure that powers our analytics and business intelligence capabilities. You'll work closely with our analytics team to ensure reliable, scalable, and efficient data pipelines that support marketing attribution, customer analytics, and operational reporting across the organization. This role offers the opportunity to own critical data infrastructure, work with modern cloud-based tools, and directly impact how we leverage data to improve patient outcomes and business performance. Key Responsibilities • Design, build, and maintain scalable ETL/ELT pipelines to ingest data from multiple sources including advertising platforms (Google Ads, Facebook Ads, Bing Ads), CRM systems, and operational databases, • Manage and optimize our Snowflake data warehouse, including schema design, query performance tuning, and cost optimization, • Configure and maintain Fivetran connectors and data integrations, ensuring data quality and timely syncs across all platforms, • Develop and maintain data transformation layers using SQL and dbt to create clean, reliable datasets for analytics consumption, • Build and manage automated workflows and Snowflake tasks for scheduled data refreshes and reporting, • Partner with the analytics team to understand data requirements and translate them into robust technical solutions, • Implement data quality monitoring, alerting, and validation frameworks to ensure accuracy and completeness, • Document data models, pipelines, and processes to maintain institutional knowledge, • Support HIPAA-compliant data handling practices and maintain appropriate access controls, • B.S. in Computer Science, Data Engineering, Information Systems, or related technical field, • 5+ years of experience in data engineering, analytics engineering, or related roles, • Expert-level SQL skills with experience writing complex queries and optimizing performance, • Hands-on experience with cloud data warehouses, preferably Snowflake, • Experience with ETL/ELT tools and data integration platforms (Fivetran, Stitch, Airbyte, or similar), • Proficiency in Python for data processing and automation, • Experience with data transformation tools such as dbt, • Strong understanding of data modeling concepts (dimensional modeling, star schemas), • Familiarity with version control (Git) and CI/CD practices for data pipelines, • Experience working with marketing and advertising data (Google Ads, Facebook Ads APIs) is a plus, • Strong problem-solving skills and attention to detail, • Experience in healthcare, digital health, or e-commerce industries, • Familiarity with HIPAA compliance requirements for data handling, • Experience with workflow orchestration tools (Airflow, Dagster, Prefect), • Knowledge of BI tools such as Sigma Computing, Tableau, or Looker, • Experience with GA4 data exports and BigQuery, • Understanding of marketing attribution models and customer analytics data requirements, • Health Coverage: Comprehensive health, dental, and vision insurance, • Retirement: 401(k) plan, • Time Off: Generous paid time off policy, • Career Growth: Opportunities to grow within a rapidly expanding company optimization solutions, and thrive while being given the room to build and lead a world-class analytics organization, this is the perfect opportunity for you. We're looking for someone driven to make an impact through data, take initiative in establishing best practices, and grow alongside our company as we tackle new analytical challenges together.

Job DescriptionBenefits: • Hybrid, • Long Term Core Skills: Strong AWS Services, Python/PySpark, Advanced SQL Submission Details: Resume, LinkedIn URL, Work Authorization, Location Details Job Description Our esteemed client is seeking an experienced AWS Data Engineer with strong expertise in ETL testing, cloud migration, and Python programming in a production-grade AWS environment. You will design and maintain scalable data pipelines, ensure data quality through rigorous ETL testing, and play a key role in large-scale cloud migration initiatives. This role is ideal for someone passionate about building efficient, secure, and reliable data solutions, applying functional design principles, and leveraging automation to deliver business impact. Key Responsibilities • Develop and maintain scalable ETL pipelines within the AWS ecosystem., • Conduct ETL testing to ensure data integrity, accuracy, and performance., • Lead and support large-scale cloud migration projects., • Use Python (primary language) along with SQL and PySpark to develop data processing and automation solutions., • Orchestrate data workflows using Apache Airflow (including MWAA)., • Collaborate with cross-functional teams to design data models and implement industry-standard data security and classification methodologies., • Monitor, troubleshoot, and optimize pipelines for reliability and performance., • Document design, conduct code reviews, and apply test-driven development (TDD) practices., • Work in Agile environments, participating in sprint planning and daily stand-ups., • Ensure a smooth transition of data during cloud migrations, applying DevOps and CI/CD practices where needed Qualifications • 812 years of experience in Data Engineering, focusing on ETL, Cloud Migration, and Python development., • 5+ years of hands-on experience with Python (primary), SQL, and PySpark, applying functional design principles and software design patterns., • 5+ years building and deploying ETL pipelines across on-prem, hybrid, and cloud environments, with orchestration experience using Airflow., • 5+ years of production-level AWS experience (MWAA, Glue/EMR (Spark), S3, ECS/EKS, IAM, Lambda)., • Solid understanding of core statistical principles, data modeling, and data security best practices., • 5+ years working in Agile development with unit testing, TDD, and design documentation., • 2+ years of DevOps/CI-CD experience, including Terraform or other Infrastructure-as-Code (IaC) platforms., • Excellent problem-solving skills, with the ability to troubleshoot complex data and performance issues., • Strong communication skills and ability to work effectively in a hybrid model (3 days onsite in Dallas). Flexible work from home options available.

Job DescriptionAllata is a global consulting and technology services firm with offices in the US, India, and Argentina. We help organizations accelerate growth, drive innovation, and solve complex challenges by combining strategy, design, and advanced technology. Our expertise covers defining business vision, optimizing processes, and creating engaging digital experiences. We architect and modernize secure, scalable solutions using cloud platforms and top engineering practices. Allata also empowers clients to unlock data value through analytics and visualization and leverages artificial intelligence to automate processes and enhance decision-making. Our agile, cross-functional teams work closely with clients, either integrating with their teams or providing independent guidance—to deliver measurable results and build lasting partnerships. We are looking for a Databricks Manager with strong experience in enterprise data platform architecture and governance to lead client-facing data platform implementations. This role blends high-impact architectural responsibilities (reference architectures, security, scalability, cost management, operational model) with technical leadership in designing, building, deploying, and optimizing data pipelines and data products on Lakehouse/EDW platforms (with an emphasis on Databricks). You will own the full lifecycle of data products and standardize patterns, tools, and practices across large-scale, vertical-specific implementations for our clients. Role & Responsibilities: • Define the overall data platform architecture (Lakehouse/EDW), including reference patterns (Medallion, Lambda, Kappa), technology selection, and integration blueprint., • Design conceptual, logical, and physical data models to support multi-tenant and vertical-specific data products; standardize logical layers (ingest/raw, staged/curated, serving)., • Establish data governance, metadata, cataloging (e.g., Unity Catalog), lineage, data contracts, and classification practices to support analytics and ML use cases., • Define security and compliance controls: access management (RBAC/IAM), data masking, encryption (in transit/at rest), network segmentation, and audit policies., • Architect scalability, high availability, disaster recovery (RPO/RTO), and capacity & cost management strategies for cloud and hybrid deployments., • Lead selection and integration of platform components (Databricks, Delta Lake, Delta Live Tables, Fivetran, Azure Data Factory / Data Fabric, orchestration, monitoring/observability)., • Design and enforce CI/CD patterns for data artifacts (notebooks, packages, infra-as-code), including testing, automated deployments and rollback strategies., • Define ingestion patterns (batch & streaming), file compacting/compaction strategies, partitioning schemes, and storage layout to optimize IO and costs., • Specify observability practices: metrics, SLAs, health dashboards, structured logging, tracing, and alerting for pipelines and jobs., • Act as technical authority and mentor for Data Engineering teams; perform architecture and code reviews for critical components., • Collaborate with stakeholders (Data Product Owners, Security, Infrastructure, BI, ML) to translate business requirements into technical solutions and roadmap., • Design, develop, test, and deploy processing modules using Spark (PySpark/Scala), Spark SQL, and database stored procedures where applicable., • Build and optimize data pipelines on Databricks and complementary engines (SQL Server, Azure SQL, AWS RDS/Aurora, PostgreSQL, Oracle)., • Implement DevOps practices: infra-as-code, CI/CD pipelines (ingestion, transformation, tests, deployment), automated testing and version control., • Troubleshoot and resolve complex data quality, performance, and availability issues; recommend and implement continuous improvements.Hard Skills - Must have:, • Previous experience as architect or lead technical role on enterprise data platforms., • Hands-on experience with Databricks technologies (Delta Lake, Unity Catalog, Delta Live Tables, Auto Loader, Structured Streaming)., • Strong expertise in Spark (PySpark and/or Scala), Spark SQL and distributed job optimization., • Solid background in data warehouse and lakehouse design; practical familiarity with Medallion/Lambda/Kappa patterns., • Experience integrating SaaS/ETL/connectors (e.g., Fivetran), orchestration platforms (Airflow, Azure Data Factory, Data Fabric) and ELT/ETL tooling., • Experience with relational and hybrid databases: MS SQL Server, PostgreSQL, Oracle, Azure SQL, AWS RDS/Aurora or equivalents., • Proficiency in CI/CD for data pipelines (Azure DevOps, GitHub Actions, Jenkins, or similar) and packaging/deployment of artifacts (.whl, containers)., • Experience with batch and streaming processing, file compaction, partitioning strategies and storage tuning., • Good understanding of cloud security, IAM/RBAC, encryption, VPC/VNet concepts, and cloud networking., • Familiarity with observability and monitoring tools (Prometheus, Grafana, Datadog, native cloud monitoring, or equivalent).Hard Skills - Nice to have/It's a plus:, • Automation experience with CICD pipelines to support deployment and integration workflows including trunk-based development using automation services such as Azure DevOps, Jenkins, Octopus., • Advanced proficiency in Pyspark for advanced data processing tasks., • Advance proficiency in spark workflow optimization and orchestration using tools such as Asset Bundles or DAG (Directed Acyclic Graph) orchestration., • Certifications: Databricks Certified Data Engineer / Databricks Certified Professional Architect, cloud architect/data certifications (AWS/Azure/GCP).Soft Skills / Business Specific Skills:, • Ability to identify, troubleshoot, and resolve complex data issues effectively., • Strong teamwork, communication skills and intellectual curiosity to work collaboratively and effectively with cross-functional teams., • Commitment to delivering high-quality, accurate, and reliable data products solutions., • Willingness to embrace new tools, technologies, and methodologies.

Job Description Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster. We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that — with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI. We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved — people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services. If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe. About the Role: The Infrastructure Design Engineer is responsible for planning, designing, and implementing data center whitespace environments — the operational computing areas where servers, storage, and network equipment are deployed. This role ensures whitespace layout, power distribution, cooling strategy, and cabling infrastructure support high availability, scalability, and operational efficiency. The engineer partners with Facilities, Electrical and Mechanical teams, and Cloud Infrastructure Architects to ensure whitespace designs align with current and future cloud workload requirements. What You'll Be Working On: * Design whitespace layouts including rack placement, aisle configuration, equipment density, and airflow strategy * Collaborate with electrical and mechanical engineering teams to integrate power distribution and cooling infrastructure into whitespace environments * Optimize whitespace designs for capacity, scalability, redundancy, airflow performance, and energy efficiency * Coordinate with network and cloud teams to ensure structured cabling, connectivity, and fiber management meet performance requirements * Validate redundancy strategies (N+1, 2N) and ensure designs align with SLA requirements * Ensure whitespace designs comply with industry standards including TIA-942, Uptime Institute guidelines, ASHRAE recommendations, and applicable codes * Apply local building codes, safety regulations, and company design policies * Develop CAD/BIM drawings, schematics, and 3D models of whitespace environments * Create capacity planning models to forecast growth, utilization, and infrastructure scaling * Maintain technical documentation supporting operations, maintenance, and audit requirements * Support construction, installation, commissioning, and deployment activities for new data center environments * Participate in design reviews, risk assessments, and site inspections * Provide technical guidance to internal teams, contractors, and external partners * Evaluate new technologies, modular designs, and industry best practices to improve performance and efficiency * Conduct post-occupancy evaluations to validate design outcomes and identify improvements What You'll Bring to the Team: * Bachelor’s degree in Electrical Engineering, Mechanical Engineering, Facilities Engineering, Data Center Engineering, or equivalent experience * 5+ years of experience in data center design, preferably in cloud or hyperscale environments * Understanding of data center power distribution systems and UPS architectures * Understanding of cooling systems and HVAC infrastructure * Experience with structured cabling systems and network connectivity design * Experience with whitespace layout optimization and equipment density planning * Proficiency with CAD/BIM tools such as AutoCAD, Revit, Visio, or equivalent platforms * Knowledge of industry standards including TIA-942, Uptime Institute, ASHRAE, and ANSI/BICSI * Ability to collaborate across engineering, infrastructure, and deployment teams * Experience supporting multiple projects simultaneously * Willingness to travel to data center sites as required Benefits: * Industry competitive pay * Restricted Stock Units in a fast growing, well-funded technology company * Health insurance package options that include HDHP and PPO, vision, and dental for you and your dependents * Employer contributions to HSA accounts * Paid Parental Leave * Paid life insurance, short-term and long-term disability * Teladoc * 401(k) with a 100% match up to 4% of salary * Generous paid time off and holiday schedule * Cell phone reimbursement * Tuition reimbursement * Subscription to the Calm app * MetLife Legal * Company paid commuter benefit; $300/month Compensation Range Compensation will be paid in the range of $160,000- $195,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicants knowledge, education, and abilities, as well as internal equity and alignment with market data. Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.

Calling all Senior Sales Application Engineers with HVAC experience This Jobot Job is hosted by: Mordy Ornguze Are you a fit? Easy Apply now by clicking the "Apply" button and sending us your resume. Salary: $85,000 - $110,000 per year A bit about us: We don’t just design HVAC equipment — we build scalable, engineered systems that perform in demanding environments. Our strength comes from long-tenured employees, strong cross-functional collaboration, and disciplined engineering processes. Why join us? • Proven stability with long-tenured employees, • Competitive compensation and comprehensive benefits package, • 401(k) with company match and profit sharing, • Paid holidays and PTO, • Health & Dental care Job Details A Sales Application Engineer (SAE) is a critical part of the sales process, responsible for designing, developing and integrating HVAC solutions to meet customer specifications. A Senior SAE will meet all of the requirements for an SAE while also providing additional value to customers and the team. This role blends tactical requirements (such as entering orders, acknowledging ship dates, and supporting customer inquiries) with strategic responsibilities in solution design, technical support, proposal preparation, and rep relationship building. The role requires expertise in HVAC topics such as thermodynamics and airflow, design principals, and HVAC industry standards as well as an ability to utilize a variety of HVAC-related software tools such as unit and component selection programs, drawing programs, and pricing programs. Success in this role demands a hands-on, detail-oriented approach, a desire to help HVAC reps and customers, and the ability to lead the team by proving mentoring, by working on the most difficult projects, and by providing strategic direction on our products and product software. This role works under the direct guidance of the Inside Sales Manager along with a dotted line responsibility to the Sales Managers, all in alignment to the overall business plan. Essential Duties and Responsibilities: • SAE DUTIES and RESPONSIBILITIES:, • Provide representatives with technical guidance regarding proper application of products., • Provide engineers, contractors, and representatives with application assistance and product sizing., • Provide representatives with technical guidance in selecting proper options and accessories to meet application requirements for products., • Provide representatives with quotes – ballpark and/or detailed – for the products they are selecting, • Work with Engineering to create and revise Submittals for customers, • SENIOR SAE DUTIES and RESPONSIBILITIES:, • Mentor, train, indirectly supervise, or have direct reports, • Develop solutions for unique and complex applications, • Help resolve field issues requiring diagnostics or deep expertise; may require travel, • Provide input into the design, flow, and computations of our selection software tools, • Participates in HVAC industry and standards committees, • Participates in HVAC industry shows and events, • Provide input into product features, options, product roadmaps, and product marketing by: 1. incorporating feedback from customers/marketplace, 2. evaluating competitor offerings and identifying ways to create an advantage (spec beaters, for example) • Builds a reputation as an industry and product expert through successful customer engagements and relationships, • Conforms to all Quality and Environmental Management System policies, objectives and obligations., • Degree in Mechanical Engineering, HVAC Engineering, or a related field, • 5+ years of experience as an HVAC Sales Application Engineer, • Excellent communication skills, both verbal and written, • High technical proficiency, • Strong problem solving skills, • Ability to manage multiple projects in a demanding work environment., • Ability to travel 2-3 times per year., • Occasional overtime and weekend hours in support of customer requirements Interested in hearing more? Easy Apply now by clicking the "Apply" button. Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state, or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions. Sometimes Jobot is required to perform background checks with your authorization. Jobot will consider qualified candidates with criminal histories in a manner consistent with any applicable federal, state, or local law regarding criminal backgrounds, including but not limited to the Los Angeles Fair Chance Initiative for Hiring and the San Francisco Fair Chance Ordinance. Information collected and processed as part of your Jobot candidate profile, and any job applications, resumes, or other information you choose to submit is subject to Jobot's Privacy Policy, as well as the Jobot California Worker Privacy Notice and Jobot Notice Regarding Automated Employment Decision Tools which are available at jobot.com/legal. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Jobot, and/or its agents and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy here: jobot.com/privacy-policy

Job Description We are a global law firm with a powerful strategic focus and real momentum. Our industry-focused strategy is seeing us take on pioneering work in places that others have yet to reach. Our shared values define our culture and our workplace. You will find us to be unusually collegial, team-oriented, and ready to innovate. We work seamlessly across practices, offices and around the world. This elimination of boundaries has allowed us to evolve into a law firm that works as hard for its culture as it does for its clients. The Senior FabricDeveloperplays a crucial role in architecting, designing, developing, andmaintainingcomplex Microsoft Fabric data solutions and database systems, including ETL/ELT, datamovementand semantic modeling. This position requires deepexpertisein Microsoft Fabric and cloud migrations. The ideal candidate has extensive experience with large-scale databases, cloudplatformsand analytics modeling, ensuring strong data governance, performance optimization, and reliable, low-risk migrations while focused on delivering business insights. This position is ideallylocatedin Austin, Dallas, or Houston, Texas. The role will require presence in the office from time to timepursuant tothe firm's hybrid work policy. • Architect and develop scalable, secure, and performant data solutions using Microsoft Fabric, • Implement database solutionsutilizingthe following engines: Lakehouse, Warehouse, Azure SQL Database, and SQL Server, • Develop, implement, and optimize ETL/ELT assets including pipelines, dataflows, and notebooks, as well as stored procedures, triggers, views, and functions, • Analyzeexisting SQL queries using execution plans and recommend tuning improvements (i.e., performance optimization), • Develop procedures and scripts for data migration, validation, and reconciliation, • Create logical and physical ERD designs, • Design holistic data solutions to support data governance, lineage, quality, and standards, • Create andmaintainPower BI semantic models and reports with a strong emphasis on performance optimization, • Design and Create modules to increase system performance and stability, • Creating Alertsregardingsystem performance,stabilityand availability, • Tune various modules to ensure system performance, • Lead cloud database migration projects, ensuring minimal downtime and minimal data loss, • Integrate various data sources to create unified data models, • Analyzeandoptimizedatabase performance, ensuring efficient query execution and resourceutilization, • Automate database and data-solution deployments using Azure DevOps (ADO) CI/CD pipelines, • Implement security measures to protect sensitive data and ensure compliance with industry standards, • Maintain comprehensive documentation of designs, configurations, and migration processes, • Partner with cross-functional teams to understand business requirements and deliver tailored solutions, • Mentor junior developers and conduct knowledge-sharing sessions to enhance team capabilities, • Stay current with evolving database and analytics technologies and recommend innovative solutions Other duties Pleasenotethis job description does not cover orcontainall activities,dutiesor responsibilities that arerequired ofthe employee for this job. Duties,responsibilitiesand activities may change at any time with or without notice. • Bachelor's degree in computer science, information technology, or a related field, • Minimum of 7 years of experience in database development, with a focus on SQL Server, ETL/ELT design and build, database design/build, and cloud migration, • In lieu of bachelor's degree, 11 years of experience in database development, with a focus on SQL Server, ETL/ELT design and build, database design/build, and cloud migration, • Minimum 2 years of hands-on experience with Microsoft Fabric, including Pipelines, Dataflows, Notebooks, Lakehouse/Warehouse, and orchestration patterns (e.g., Airflow where applicable), • Expertisein Microsoft Fabric and its applications in data engineering and analytics solutions, • Proficient in SQL Server, including T-SQL programming, stored procedures, and triggers, • Experience with cloud database platforms, • Experience designing and creating Power BI reports (and related semanticmodelingpreferred), • Experience following SDLC and Agile processes, • Experienceassistingbusiness partners in creating functional specifications, • Experience creating technical specification documents based on functional specifications, • Experience with database replication/mirroring patterns (e.g., CDC and related approaches), • Strong understanding of database architecture and design principles, • Experience with ETL/ELT tools (e.g., SSIS and/or modern cloud ETL/ELT tooling) and best practices, • Familiarity with data warehousing and BI solutions, • Certifications: Relevant certifications in Microsoft Fabric, SQL Server, and cloud platforms are preferred, • Microsoft Azure and Azure Pipelines experience is a plus, • Excellent problem-solving and analytical skills, • Strong communicationand interpersonal skills, • Ability to work independently and as part of a team, • Sense of ownership and pride in performance and its impact on company success, • Detail-oriented with a focus on quality and accuracy, • Proactive and self-motivated with a drive for continuous improvement Norton Rose Fulbright US LLP is committed to providing employees with a comprehensive and competitive benefits package that supports you, your health, and your family. Benefit packages include access to three medical plans, dental, vision, life, and disability insurance. Employees can also access pre-tax benefits such as health savings and flexible spending accounts. Norton Rose Fulbright helps provide financial security by allowing employees to participate in a 401(k) savings plan and profit-sharing plans if eligible. Full- time employees are eligible to access fertility benefits designed to support fertility and family-forming journeys. In addition to the Firm's health and welfare benefits above, we offer a competitive paid time off plan, which provides a minimum of 20 days off based on your role and tenure with the firm. The firm offers a generous paid parental leave benefit allowing parents to take a minimum of 14 weeks of paid leave to bond with your newborn, or adopted child(ren). Employees are also entitled to 11 Firm holidays. Norton Rose Fulbright US LLP is an Equal Opportunity Employer and complies with all applicable federal laws and their implementing regulations that require the collection and recording of certain data and information. The information we receive will not be used to make any decision regarding employment and will be kept separate from your application. Similarly, self-identification information is kept confidential and used only in accordance with applicable federal laws and regulations. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status.Norton Rose Fulbright is committed to providing reasonable accommodation as an Equal Opportunity Employer to applicants with disabilities. If you require assistance or accommodation to complete your application, please contact ___. Please provide your contact information and a description of your accessibility issue. We will make a determination on your request for reasonable accommodation on a case-by-case basis. ___is a registered trademark of the U.S. Department of Homeland Security. This business uses E-Verify in its hiring practices to achieve a lawful workforce.

Job Description SQL Developer Location: Dallas, TX DLRdmv is driving innovation in the automotive services industry – streamlining title, registration, and compliance processes for our clients nationwide. We operate with the efficiency of a seasoned corporation and the energy of a start-up: collaborative, fast-moving, and always evolving. Job Description We are seeking a motivated SQL Developer with hands-on experience in AWS RDS, SQL performance tuning, and SSIS ETL development to join our growing data engineering team. This is an excellent opportunity for a technically curious developer early in their career to work on real-world data pipelines, cloud database infrastructure, and mission-critical reporting systems. You will play a key role in designing, building, and optimizing data solutions that power business insights, ensure data accuracy, and support scalable applications. Job Responsibilities • Write, refactor, and performance-tune complex T-SQL queries, stored procedures, functions, and views. Analyze execution plans, add appropriate indexing, and resolve bottlenecks in high-volume environments. * Implement best practices for error handling, transactions, and query reusability. * Provision, configure, and maintain Amazon RDS instances (SQL Server, PostgreSQL, MySQL). * Manage backups, restores, replication, Multi-AZ deployments, and automated snapshots. * Monitor performance using CloudWatch, Performance Insights, and RDS Enhanced Monitoring. * Apply security best practices: IAM roles, VPC security groups, encryption at rest/transit, and parameter groups. * Design, develop, and deploy SSIS packages for ETL/ELT workflows using Visual Studio and SQL Server Data Tools. * Implement data validation, error logging, restartability, and package configurations. * Migrate legacy DTS/SSIS packages and optimize for performance and reliability. * Schedule and monitor SSIS jobs via SQL Server Agent or AWS SSM/Airflow. * Collaborate with analysts and developers to design normalized/denormalized schemas and data marts. * Participate in code reviews, data architecture discussions, and sprint planning. * Assist in large-scale data migrations (on-prem ? cloud, cross-database). * Build reusable ETL frameworks for recurring data loads. * Support BI teams by creating staging tables, views, and report-ready datasets. Experience & Qualifications * Bachelor’s degree in Computer Science, Information Systems, or related field (or equivalent practical experience). * 1–3 years of hands-on experience with: * T-SQL (complex joins, CTEs, window functions, dynamic SQL) * SQL Server 2016+ (on-prem or RDS) * AWS RDS (instance setup, scaling, backups, monitoring) * SSIS (control flow, data flow, scripting tasks, deployments) * Solid understanding of relational database design, normalization, and indexing strategies. * Experience with source control (Git preferred). * Strong analytical and problem-solving skills with attention to detail. * Excellent written and verbal communication — able to explain technical concepts clearly.

Job Description Job Title: HVAC Service Technician Job Description We’re looking for a skilled and reliable HVAC Service Technician to join our team. In this role, you’ll diagnose, repair, and maintain residential and/or commercial heating, cooling, and ventilation systems. If you take pride in quality workmanship and enjoy helping customers stay comfortable, this is a great opportunity to grow your career. Technicians will receive commission, as well as have access to a company van, tools and uniforms Responsibilities • Perform service, maintenance, and repairs on HVAC systems., • Troubleshoot mechanical and electrical issues using diagnostic tools., • Install HVAC equipment, thermostats, and related components., • Conduct routine system inspections and preventive maintenance., • Communicate findings and repair recommendations to customers., • Maintain accurate service records and follow company procedures., • Ensure compliance with safety standards, EPA regulations, and local codes., • Mechanical and troubleshooting skills., • Experience with installation and repair of HVAC systems., • Knowledge of electrical systems and boiler operations., • EPA certification or ability to obtain., • Experience in HVAC service or completion of an HVAC training program., • Strong diagnostic knowledge of refrigeration cycles, electrical systems, and airflow principles., • Ability to read wiring diagrams and technical manuals., • Valid driver’s license and clean driving record., • 2+ years of field experience., • Experience with smart thermostats and modern HVAC controls. Earn commissions for each work order closed and a percentage for any HVAC equipment sold. This role provides opportunities for career growth, skill development, and a supportive work environment. Work Environment Technicians are provided with a service truck and must be over 21 years of age. The work involves using diagnostic tools and hand tools to ensure efficient service delivery. Job Type & Location This is a Contract to Hire position based out of Dallas, TX. Pay and Benefits The pay range for this position is $35660.00 - $52000.00/yr. No medical benefits, but they pay commission Workplace Type This is a fully onsite position in Dallas,TX. Application Deadline This position is anticipated to close on Apr 6, 2026. About Aerotek: We know that finding work is hard, and finding meaningful work is harder. Aerotek connects 180,000+ light industrial and skilled trades workers with 14,000+ employers each year, helping our workers navigate an evolving labor market and find jobs that meets their goals, skills and interests. Since 1983, we have provided a variety of career opportunities across North American industry – from short-term assignments at Fortune 500 companies where you can build your skills, to long-term opportunities where you can play a vital role solving for companies’ construction, manufacturing and maintenance challenges. Our 1,500+ experienced recruiters across 250+ offices work relentlessly to put our workforce in a position to thrive. Let us rise to meet your challenges and put our people-are everything spirit to the test as your career continues to grow. Aerotek offers weekly pay, employee benefits including medical, dental & vision, life insurance, health advocacy and employee assistance programs, a 401(k) plan, and employee discounts. The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. Company DescriptionWe know that finding work is hard, and finding meaningful work is harder. Aerotek connects 180,000+ light industrial and skilled trades workers with 14,000+ employers each year, helping our workers navigate an evolving labor market and find jobs that meet their goals, skills, and interests. Since 1983, we have provided a variety of career opportunities across North American industry – from short-term assignments at Fortune 500 companies where you can build your skills, to long-term opportunities where you can play a vital role in solving companies’ construction, manufacturing, and maintenance challenges. Our 1,500+ experienced recruiters across 250+ offices work relentlessly to put our workforce in a position to thrive. Let us rise to meet your challenges and put our people-are-everything spirit to the test as your career continues to grow.We know that finding work is hard, and finding meaningful work is harder. Aerotek connects 180,000+ light industrial and skilled trades workers with 14,000+ employers each year, helping our workers navigate an evolving labor market and find jobs that meet their goals, skills, and interests. Since 1983, we have provided a variety of career opportunities across North American industry – from short-term assignments at Fortune 500 companies where you can build your skills, to long-term opportunities where you can play a vital role in solving companies’ construction, manufacturing, and maintenance challenges. Our 1,500+ experienced recruiters across 250+ offices work relentlessly to put our workforce in a position to thrive. Let us rise to meet your challenges and put our people-are-everything spirit to the test as your career continues to grow.

Job DescriptionWaabi, founded by AI visionary Raquel Urtasun, is the leader in Physical AI. With a world-class team, we're unlocking the next era of autonomous transportation with technology that's powering commercial autonomous trucks and robotaxis. Waabi is backed by and partners with world leaders in AI, automotive, logistics, and deep tech. With offices in Toronto, San Francisco, Dallas, and Pittsburgh, Waabi is growing quickly and looking for diverse, innovative and collaborative candidates who want to impact the world in a positive way. To learn more visit: You will...- Lead the strategy and execution of perception and prediction evaluation systems.- Design, code, and test tools, pipelines, services and platforms that support Waabi’s perception and prediction evaluation.- Collaborate with other teams at Waabi, including research scientists, ML and software engineers, system engineers and program managers to understand their uses and deliver features that improve our overall evaluation ecosystem.- Participate in the growth and planning for how our evaluation platform scales over the next years.- Assist in roadmap planning, prioritization, and delivery. Qualifications:- 5+ years of industry experience reading and developing production quality software.- Experience using languages such as Python, Go, or Rust.- Bachelors degree with a Computer Science, Robotics and/or similar technical field(s) of study.- Experience working in a team environment on a common codebase.- Ability to learn new technologies quickly particularly in data analysis.- Open-minded and collaborative team player with willingness to help others.- Passionate about self-driving technologies, solving hard problems, and creating innovative solutions. Bonus/nice to have:- Experience working with robotics / AV data.- Experience with perception and prediction metrics (precision, recall, ADE, CTE, etc.).- Experience with AWS (S3, ECS, Batch, etc.).- Familiarity with workflow management technology (ex. Airflow).- Familiarity with advanced statistical analysis.- Familiarity with large-scale data processing and distributed systems.- Familiarity with machine learning concepts and evaluation methods- Comfortable with Linux. The US yearly salary range for this role is: $155,000 - $213,000 USD in addition to competitive perks & benefits. Waabi (US) Inc.’s yearly salary ranges are determined based on several factors in accordance with the Company’s compensation practices. The salary base range is reflective of the minimum and maximum target for new hire salaries for the position across all US locations. Note: The Company provides additional compensation for employees in this role, including equity incentive awards and an annual performance bonus.Perks/Benefits:- Competitive compensation and equity awards.- Health and Wellness benefits encompassing Medical, Dental and Vision coverage (for full-time employees only).- Unlimited Vacation.- Flexible hours and Work from Home support.- Daily drinks, snacks and catered meals (when in office).- Regularly scheduled team building activities and social events both on-site, off-site & virtually.- As we grow, this list continues to evolve! Waabi is a technology start-up building technologies to transform the way the world moves. Join our talented team to be a part of the future and to make an impact! Waabi is an equal opportunity employer. We celebrate diversity and are committed to creating a supportive, inclusive, and accessible workplace for all our employees. We seek applicants of all backgrounds and identities, across race, color, ethnicity, national origin or ancestry, age, citizenship, religion, sex, sexual orientation, gender identity or expression, military or veteran status, marital status, pregnancy or parental status, caregiver status, disability, or any other characteristic protected by law. We make workplace accommodations for qualified individuals with disabilities as required by applicable law. If reasonable accommodation is needed to participate in the job application or interview process please let our recruiting team know. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Driving with Uber is an alternative to a part-time or full-time job and can get you earning cash on the road quickly.Driving with Uber allows you to earn quick cash while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary).With Uber, you can

Driving with Uber is an alternative to a part-time or full-time job and can get you earning cash on the road quickly.Driving with Uber allows you to earn quick cash while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary).With Uber, you can

Earn at least $1835 driving with Uber when you complete your first 161 trips in 30 days.Driving is an easy way to boost your income while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary).Get started today and we’ll provide support along

Earn at least $1835 driving with Uber when you complete your first 161 trips in 30 days.Driving is an easy way to boost your income while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary).Get started today and we’ll provide support along

Earn at least $1835 driving with Uber when you complete your first 161 trips in 30 days.Driving is an easy way to boost your income while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary).Get started today and we’ll provide support along

Earn at least $1835 driving with Uber when you complete your first 161 trips in 30 days.Driving is an easy way to boost your income while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary).Get started today and we’ll provide support along

Earn at least $1835 driving with Uber when you complete your first 161 trips in 30 days.Driving is an easy way to boost your income while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary).Get started today and we’ll provide support along

Driving with Uber is an alternative to a part-time or full-time job and can get you earning cash on the road quickly.Driving with Uber allows you to earn quick cash while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary).With Uber, you can

Earn at least $1835 driving with Uber when you complete your first 161 trips in 30 days.Driving is an easy way to boost your income while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary).Get started today and we’ll provide support along

Driving with Uber is an alternative to a part-time or full-time job and can get you earning cash on the road quickly.Driving with Uber allows you to earn quick cash while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary).With Uber, you can

Driving with Uber is an alternative to a part-time or full-time job and can get you earning cash on the road quickly.Driving with Uber allows you to earn quick cash while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary).With Uber, you can

Driving with Uber is an alternative to a part-time or full-time job and can get you earning cash on the road quickly.Driving with Uber allows you to earn quick cash while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary).With Uber, you can

Earn at least $1835 driving with Uber when you complete your first 161 trips in 30 days.Driving is an easy way to boost your income while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary).Get started today and we’ll provide support along

Driving with Uber is an alternative to a part-time or full-time job and can get you earning cash on the road quickly.Driving with Uber allows you to earn quick cash while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary).With Uber, you can

Driving with Uber is an alternative to a part-time or full-time job and can get you earning cash on the road quickly.Driving with Uber allows you to earn quick cash while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary).With Uber, you can

Earn at least $1835 driving with Uber when you complete your first 161 trips in 30 days.Driving is an easy way to boost your income while maintaining the flexibility your schedule requires (gig, part-time, full-time, seasonal, hourly, or temporary).Get started today and we’ll provide support along