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Associate, Risk Analytics - Loss Forecasting Country: United States of America Your Journey Starts Here: Santander is a global leader and innovator in the financial services industry. We believe that our employees are our greatest asset. Our focus is on fostering an enriching journey that empowers you to explore diverse career opportunities while nurturing your personal growth. We are committed to creating an environment where continuous learning and development are prioritized, enabling you to thrive both professionally and personally. Here, you will find ample opportunities to connect and collaborate with talented colleagues from around the world, sharing insights and driving innovation together. Join us at Santander, where you are supported by a culture of engagement and a commitment to your success. An exciting journey awaits, if you are interested in exploring the possibilities We Want to Talk to You! The Difference You Make: The Associate, Risk Analytics - Loss Forecasting is responsible for design, development and supporting of loss forecasting framework/methodologies/tools for Santander consumer auto portfolios. Associate is expected to work across business lines to define and build risk-based analytical datasets, performs data analysis, and delivers analytical solutions that meet the Company's strategic initiatives and risk planning activities for their designated business area. The Associate is responsible supporting loss forecasting process by developing forecast methodologies/tools and forecasting gross loss and recoveries. Activities may include data extraction, quantitative/predictive analysis, risk identification and remediation. Represents or supports the reputation of the company to minimize compliance and regulatory risk by resolving issues and ensuring adherence to company and legal standards. Responsible for ensuring that all of the company's activities adhere to the necessary rules and regulations, and that the company complies with legal/regulatory statutes and jurisdictions. Ensures adherence to the policies and procedures established by the company. Manages policy, standard definition and monitoring of policy, standard implementation, ensuring harmonization and consistency of risk policies. Monitors and manages models, risk/exposure and compliance with the company's policies. Identifies, manages and reports on the company's risk areas. Evaluates the adequacy and effectiveness of data, document retention, and monitors systems. • Support loss forecasting methodologies design, development and ongoing support., • Provides thoughtful risk-based analysis to enhance portfolio management, reporting functionality and automation of processes., • Recommends formatting improvements to current reporting processes., • Prepares and analyzes extensive data for timely and accurate managerial reporting, budgeting and planning, internal/external audits, ad hoc requests, etc., • Creates and maintains various dashboard(s) to report on metrics and results., • Performs extensive data analysis including trends and insights on drivers, variance analysis, data profiling and data quality analysis., • Mines and analyzes data from both internal and external databases to drive optimization and process improvements., • Facilitates effective communications among business lines and leadership to ensure comprehensive understanding of needs, expectations, and requirements., • Collaborates with Risk Analytics subject matter experts to identify valuable practices and develop strategies to implement and track. Develops effective predictive tools, processes, and templates to enable efficient delivery of services. What You Bring: To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. • Bachelor's Degree or equivalent work experience: Finance, Economics, Management Information Systems, Statistics or equivalent quantitative field with 3+ years of experience. Required, • Preferrable Master's Degree Finance, Economics, Management Information Systems, Statistics or equivalent quantitative field., • 3+ Years Risk Analyst, Risk Management, Analyst Req, • Advanced Knowledge of loss forecasting methodologies, predictive/classification algorithms, modeling, data mining, and segmentation techniques. Advanced knowledge and experience using statistical packages for analyzing data sets and developing predictive tools for loss forecasting (e.g. R and Python)., • Advanced knowledge of statistical applications within Financial Services to interpret data requests and identify data analytics opportunities. Demonstrated experience identifying, scrutinizing, improving, and streamlining complex work processes and simplifying difficult concepts., • Advanced knowledge of statistics, Machine Learning and/or other quantitative analysis techniques., • Ability to synthesize information from a variety of data sources into a logical, organized and concise manner., • Strong written and verbal communication skills., • Strong analytical, problem solving and critical thinking skills., • Detail orientated with the ability to also understand overall strategy., • Demonstrated data analysis, data presentation, and data development skills., • Ability to interact with all levels of employees, including senior level management., • Ability to leverage technology to improve and automate business tasks., • Strong Project Management skills., • Strong attention to details and can analyze information quickly. Certifications: • No Certifications listed for this job. It Would Be Nice For You To Have: • Established work history or equivalent demonstrated through a combination of work experience, training, military service, or education., • Experience in Microsoft Office products. What Else You Need To Know: The base pay range for this position is posted below and represents the annualized salary range. For hourly positions (non-exempt), the annual range is based on a 40-hour work week. The exact compensation may vary based on skills, experience, training, licensure and certifications and location. Minimum: $86,250.00 USD Maximum: $140,000.00 USD Link to Santander Benefits: Risk Culture: We embrace a strong risk culture and all of our professionals at all levels are expected to take a proactive and responsible approach toward risk management. EEO Statement: At Santander, we value and respect differences in our workforce. We actively encourage everyone to apply. Santander is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, genetics, disability, age, veteran status or any other characteristic protected by law. Working Conditions: Frequent minimal physical effort such as sitting, standing and walking is required for this role. Depending on location, occasional moving and lifting light equipment and/or furniture may be required. Employer Rights: This job description does not list all of the job duties of the job. You may be asked by your supervisors or managers to perform other duties. You may be evaluated in part based upon your performance of the tasks listed in this job description. The employer has the right to revise this job description at any time. This job description is not a contract for employment and either you or the employer may terminate your employment at any time for any reason. What To Do Next: If this sounds like a role you are interested in, then please apply. We are committed to providing an inclusive and accessible application process for all candidates. If you require any assistance or accommodation due to a disability or any other reason, please contact us at ___ to discuss your needs. Primary Location: Dallas, TX, Dallas Other Locations: Texas-Dallas Organization: Santander Consumer USA Inc.

Job Description JOB TITLE: Radio Frequency (RF) Test Engineer DEPARTMENT: Test Engineering REPORTS TO: Test Manager PRIMARY FUNCTION OF POSITION: The RF Test Engineer is responsible for the design, execution, and improvement of test processes for RF and high-frequency electronic products. This includes hands-on testing, troubleshooting, and optimization of RF components such as antennas, filters, amplifiers, and transceivers. The ideal candidate will have a strong foundation in RF principles and experience using advanced RF test equipment to ensure product performance, reliability, and compliance. DESCRIPTION OF DUTIES: • Develop and execute test procedures for RF components and systems, including antennas, filters, amplifiers, and transceivers., • Measure and analyze RF performance parameters such as gain, return loss, insertion loss, VSWR, isolation, and signal-to-noise ratio., • Operate and maintain specialized RF test equipment including spectrum analyzers, network analyzers, signal generators, and power meters., • Debug EMI/EMC issues and optimize signal integrity in RF assemblies and systems., • Troubleshoot performance issues and collaborate directly with customer engineering teams to resolve technical concerns and ensure requirements are met., • Design and implement test fixtures, setups, and jigs that ensure signal integrity and accurate repeatable measurements., • Review customer specifications and contracts to extract and fulfill test requirements., • Work with automation platforms such as LabVIEW, Python, or similar to streamline RF test processes., • Supervise RF Test Technicians and train team members in proper handling and debug techniques., • Perform root cause analysis and provide detailed failure reports., • Maintain thorough documentation of test plans, procedures, results, and equipment calibration., • Ensure smooth product flow by identifying and eliminating test bottlenecks and false failures., • Support continuous improvement by analyzing test yields and implementing corrective actions. EDUCATION/EXPERIENCE REQUIRED: • Bachelor’s degree in Electrical Engineering or a related field, with a focus on RF or microwave systems., • Must pass and maintain CIT certification for IPC-A-610 standard (or obtain within 90 days of hire)., • Minimum 3 years of experience in RF test engineering or a related RF-focused role. SKILLS/EXPERIENCE PREFERRED: • Deep understanding of RF principles and test methodologies., • Experience testing RF components such as antennas, filters, amplifiers, and transceivers., • Proficient in the use of advanced RF test equipment (e.g., Keysight, Rohde & Schwarz, Anritsu)., • Familiar with EMI/EMC testing, debug, and mitigation techniques., • Strong collaboration skills for working directly with customer engineering teams on test strategy, troubleshooting, and validation., • Familiarity with RF simulation tools (e.g., ADS, HFSS) is a plus., • Strong attention to detail, analytical thinking, and ability to document findings clearly. PHYSICAL REQUIREMENTS: • Candidate must be able to walk, sit, and/or stand for extended periods of time. Must be able to lift at least 25 pounds. This job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee. Nothing in this job description restricts management’s right to assign or reassign duties and responsibilities to this job at any time. Libra Industries is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, race, color, religion, national origin, age, marital status, political affiliation, sexual orientation, gender identity, genetic information, disability or protected veteran status. We are committed to providing a workplace free of any discrimination or harassment. PI7012f4bf2e7f-25405-38192773

Mercor is seeking Mathematics PhDs for a premier project with one of the world's top AI labs. In this role, you will contribute your subject matter expertise to a cutting-edge project involving frontier large language models. Specifically, you will craft high-quality, challenging problems in your domain expertise with real-world applicability to inform the future of AI innovation. Ideal Qualifications: - Have a Masters or PhD in Mathematics from a top US university. - Have experience coding in Python, MATLAB for projects or research. - Have field-specific experience in Numerical linear Algebra, Computational Mechanics, or Computational Finance - Have high attention to detail. - Have exceptional written and verbal communication skills. - Have excellent proficiency in English. - Are currently based in the U.S., Canada, New Zealand, UK, or Australia. Key Responsibilities: - You will work asynchronously with a team of highly qualified experts across your domain. - You will craft, solve, and review challenging problems with real world applicability. - The project is 15-20 hours of work per week with potential for increased hours and extension. - The work is fully remote and asynchronous. Role Start Date - This role will begin in late December with applications reviewed on a rolling basis. Interview Process - You will complete a short interview to assess your domain expertise. - You will be paid for up to 1 hour of onboarding time including the screening process and a few onboarding videos if you are hired. Compensation and Legal Details - You will be legally classified as an hourly contractor for Mercor. - You will be paid out at the end of each week via Stripe Connect. About Mercor Mercor connects elite creative and technical talent with leading AI research labs, headquartered in San Francisco, CA. Our distinguished investors include Benchmark, General Catalyst, Peter Thiel, Adam D’Angelo, Larry Summers, and Jack Dorsey.

Job Responsibilities Job Summary: Looking for a Jr.Java developer or Entry level Java developer in our technical team who will be responsible for designing, developing and implementing web based Java application to support business requirements. you will also responsible for writing code in java to maintain server side application. Qualification: · Bachelor's/Master's degree in computer science or related field. · Should have 0-3 years of working experience as Java developer. Duties And Responsibilities: · Experience Software Engineer in design, document, implement, and unit test robust Java software. · Relational database structures and queries for efficient update and retrieval of data. · Web-based user interfaces to identify, administer, and present personalized information in a compelling way. · Participate as part of a cohesive, focused team in project planning, architecture, design discussions, and code reviews. · Perform additional system integration and QA tasks as needed to deliver software on time. Skills Required Technical Skills: · J2EE, Spring MVC, Spring Boot, Micro-services, SQL, Oracle, DB2. · Experience with Java 1.7 and 1.8 and any upgraded version. · Experience with Wildfly, Tomcat, and Apache · Experience with JavaScript, XML, HTML, JDBC · Experience with any of the cloud technology will be added advantage. · Experience with other technologies as Python, DevOps, AWS(cloud computing) would be preferable. General Skills And Requirements: · Excellent written and verbal English communication skills. · Organisational, problem-solving and communication skills. · Ability to manage multiple priorities concurrently. · Willingness of learning new technologies and models. · Ability to effectively work in a global team; a team player. · Self-starter with the ability to independently resolve issues and deliver results. ___

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve – we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow’s health today, we want to hear from you. As a Senior Identity and Access Management (IAM) Engineer, you will be a part of McKesson's Identity and Access Management team. You will contribute during phases of design, configuration, deployments, and operations in areas of Single Sign-On (SSO), multi-factor authentication (MFA) and IAM orchestrations. This position will need hands-on engineering experience in a fast-paced environment, working with Business and Internal customers to deliver complex authentication solutions. Expectations include strong debugging and issue triaging skills to mitigate risks, resolve issues and deliver modern authentication solutions. This position will also support the engineering, building, and scaling of our authentication infrastructure to deliver authentication solutions, establish and improve IDP resiliency across platforms. Essential Responsibilities and Functions: * Deliver modern authentication solutions for B2B, B2C and B2E customers leveraging tools such as Okta, Microsoft Entra ID. * Collaborate with business and technical partners to integrate systems and provide IDP resiliency. * Strong experience in Okta versions such as Okta Classic and Okta Identity Engine (OIE) or equivalent technologies. * Good experience in the development of authentication workflows. * Strong experience in configuring and enabling Single-Sign On (SSO) and Multi-factor authentication (MFA) for internal or external facing application systems. * Lead the collaboration and discussion with business, application, and system stakeholders on meeting authentication policies and standards. * Lead design and code review and perform quality inspections to ensure the consistent application of good engineering practices in adherence with McKesson standards, processes, and best practices. * Perform Proofs of Concepts (PoCs) to assess and identify the technologies per the needs of the organization. Qualifications: Minimum Requirements: * Degree or equivalent and typically requires 7+ years of relevant experience. Critical Experience/Skills: * Industry experience in the field of Identity and Access Management. * Hands-on experience developing/configuring authentication solutions using Okta or other industry authentication solutions (E.G; Auth0, Azure/Entra ID, PingFederate etc.). * Hands-on experience establishing and improving IAM resiliency solutions. * Integration experience with SSO leveraging industry protocols such as SAML, OpenID Connect, OAuth and WS-FED. * Experience integrating and federating different IDM technologies across multiple domains. * Understanding of enterprise identity infrastructure and core security concerns of cloud and on-premises environments. * Strong analytical and problem-solving skills, pride in ownership and ability to troubleshoot complex IAM issues. * Excellent communication and interpersonal skills, with the ability to collaborate effectively with both technical and non-technical stakeholders. Preferred Experience/Skills: * Programming languages (PowerShell, Python, Terraform, Java, JavaScript, .NET etc.). * Integrating and federating different IDM technologies. * Certifications such as CISSP, CISM, Okta, or Azure are a plus. * 4-year degree in IT or related field or equivalent experience. We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $121,300 - $202,100 McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees and is committed to a diverse and inclusive environment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age or genetic information. For additional information on McKesson’s full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. Join us at McKesson!

Title : Data Engineer Location : Hybrid (Houston, TX - Atlanta, GA - Jersey city, NJ - Bay area CA - Tampa, FL.) Duration : Full Time (12+ months). Exp Req. : 7+ / 10+ yrs. ( Mid-Level & Senior level positions) Roles & Responsibilities : • This is a need for someone to build and write the capabilities., • Experience building and enhance scala framework and spark experience, • Design and develop automated testing framework to perform data validation., • Design and build a high performing and scalable data pipeline platform using Hadoop, Apache Spark, MongoDB, Kafka., • Collaborate with application partners, Architects, Data Analysts and Modelers to build scalable and performant data solutions., • Provide tool support, help consumers troubleshooting pipeline issues., • Utilizes a thorough understanding of available technology, tools, and existing designs. Required Qualification: • Good years of experience in application development including Python, SQL, Scala, or Java., • 2+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud), • 2+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL), • 2+ years of experience with NoSQL implementation (Mongo, Cassandra), • 3+ years of experience with UNIX/Linux including basic commands and shell scripting, • 2+ years of experience with Agile engineering practices If you are a motivated and skilled DATA ENGINEER with a passion , we invite you to apply at sudheer(@)careits (.) com for this exciting opportunity. Thank you. Flexible work from home options available. Compensation: $90,000.00 - $130,000.00 per year CARE ITS is a certified Woman-owned and operated minority company (certified as WMBE). At CARE ITS, we are the World Class IT Professionals, helping clients achieve their goals. Care ITS was established in 2010. Since then we have successfully executed several projects with our expert team of professionals with more than 20 years of experience each. We are globally operated with our Head Quarters in Plainsboro, NJ, with focused specialization in Salesforce, Guidewire and AWS. We provide expert solutions to our customers in various business domains.

Job Title: Technical Support Engineer Location: Boston, Dallas Duration: 6 months Pay rate: $80 - $90/hour on W2 Hybrid Schedule: Hybrid 3x/week onsite in our Boston, Dallas (Coppell), or Raleigh office. Must be in one of these three geographies. The position necessitates travel, which is anticipated to be approximately 25%. Job description: As a Senior Technical Support Engineer, you will work closely with internal stakeholders to identify, reproduce, troubleshoot and resolve deep technical issues. You will also provide support for infrastructure, permission, and configuration changes. This high-level technical support and sustaining services will help customers achieve their business outcomes. You will have the opportunity to collaborate with customers, top developers, architects, and operations teams to troubleshoot complex and challenging issues. You will help build support tooling and infrastructure. Responsibilities: Help define and manage technical customer issues, by reproducing and owning the issue lifecycle from start to finish. Project manage new client deployment issues through to resolution. Determines root cause by reading through code; troubleshoot customer reported issues; implement security and permissions configuration changes. Drive operational efficiencies for issue resolution by identifying process, tooling, and product improvements. Create playbooks and knowledge base content for issue resolution. Create reports and dashboards for internal issue tracking purposes. Minimum Qualifications: 3+ years of experience working with Python, R, or a similar object-oriented programming language with Bachelor's Degree in Statistics, Computer Science, Mathematics or Information Systems or related area. Familiarity with SQL and ability to identify root cause of data issues. Proficiency with Jira and GitHub. Cloud operations experience such as create buckets, VMs, or security access controls Excellent troubleshooting skills, with an ability to track complex details and clearly translate investigations into next steps for the customer or internal teams. Exceptional ability to communicate technical details to both senior developers and non-technical customers. Preferred Qualifications: 4+ years of experience in software or healthcare technology. Experience troubleshooting data issues. Experience supporting highly regulated software. ‘Self starter’ mentality, with a passion for owning and driving issues to resolution.

1\. Role Overview Mercor is seeking computational biology experts to contribute to a unique project with a top-tier AI research organization. This short-term initiative challenges AI models with hidden-answer “mystery problems” grounded in real biological data. Experts will design, validate, and anonymize complex datasets to evaluate model reasoning capabilities, not lookup accuracy. This is a compelling opportunity for data-driven life scientists to shape next-generation AI evaluation benchmarks. 2\. Key Responsibilities • Design biologically grounded problems with a single correct answer and ≥20 plausible distractors • Identify, download, and preprocess datasets from public repositories (e.g., GEO, SRA, NCBI) • Subsample and anonymize datasets to prevent metadata-based inference • Independently validate solutions through custom analysis pipelines and visualizations • Operate within technical constraints (e.g., file size, task time limits) 3\. Ideal Qualifications • Hands-on experience analyzing sequencing or omics datasets (e.g., RNA-seq, WGS, mass spec) • Proficient with bioinformatics tools and formats (e.g., BLAST, samtools, DESeq2, FASTA/FASTQ/BAM) • Comfortable coding in Python, R, or bash, and working in Jupyter notebooks • Understanding of biological experiment design and lab-to-data nuances (e.g., batch effects) • Advanced degree (MS, PhD) or research background in computational biology, genomics, or bioinformatics 4\. More About the Opportunity • Remote and asynchronous — set your own schedule • Expected commitment: 15–20 hours/week • Project duration: ~1 month • Potential for additional projects based on performance and interest 5\. Compensation & Contract Terms • $65–85/hour depending on experience and geography • Paid weekly via Stripe Connect • Structured as a freelance contract — independent contractor status 6\. Application Process • Submit your resume to get started • Qualified applicants will complete a short form assessing technical experience • Follow-up steps may include a sample task or review call • Responses typically within 3–5 business days 7\. About Mercor • Mercor is a talent marketplace that connects top experts with leading AI labs and research organizations. • Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey. • Thousands of professionals across domains like law, creatives, engineering, and research have joined Mercor to work on frontier projects shaping the next era of AI.

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve – we care. What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow’s health today, we want to hear from you. Job Description Key Responsibilities Penetration Testing * Plan, execute, and report on penetration tests targeting web applications, APIs, mobile apps, infrastructure, and cloud environments. * Simulate real-world attacks to assess the effectiveness of security controls and incident response capabilities. * Develop customized exploits and tools to support advanced testing relevant to the engagement. * Collaborate with external pentest vendors and service providers. Vulnerability Assessment & Exploitation * Conduct in-depth vulnerability assessments using both automated tools and manual techniques. * Validate and exploit vulnerabilities to demonstrate potential impact and risk. * Collaborate with Application teams and peer Cybersecurity groups to ensure timely remediation and risk mitigation. Security Tooling & Automation * Develop and maintain custom scripts and tools to support testing activities. * Contribute to security tools and processes in CI/CD pipelines for improved testing. * Evaluate and deploy commercial and open-source security testing tools. Reporting & Communication * Deliver detailed, actionable reports to technical and non-technical stakeholders. * Present findings and recommendations to engineering, operations, and leadership teams. * Maintain documentation of testing methodologies, tools, and results. Security Research & Innovation * Stay current with emerging threats, vulnerabilities, and offensive security techniques. * Participate in threat modeling and contribute to the development of attack simulations. * Mentor junior team members and contribute to internal knowledge sharing. Minimum Requirements * Bachelor’s degree in Computer Science, Cybersecurity, or a related field. Advanced certifications preferred (e.g., OSCP, OSCE, GPEN, GCPN, GXPN).Typically requires 5+ years of hands-on experience in penetration testing, red teaming, or offensive security. Technical Skills * Proficiency in scripting languages such as Python, Bash, or PowerShell. * Expertise in tools such as Burp Suite, Metasploit, Cobalt Strike, Nmap, and Kali Linux. * Experience with cloud penetration testing (AWS, Azure, GCP). * Familiarity with MITRE ATT&CK framework and threat emulation techniques. * Understanding of secure coding practices and common vulnerabilities (e.g., OWASP Top 10) We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, please click here. Our Base Pay Range for this position $121,300 - $202,100 McKesson is an Equal Opportunity Employer McKesson provides equal employment opportunities to applicants and employees and is committed to a diverse and inclusive environment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age or genetic information. For additional information on McKesson’s full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page. Join us at McKesson!

Please note:- NO C2C, NO C2H & NO 1099. Fulltime Opportunity - Should work on Infinite Payroll / W2 only Overview: The Data & ETL Architect is responsible for defining the end-to-end data architecture, establishing data governance standards, and designing scalable ETL/ELT pipelines across enterprise systems. This role ensures seamless data integration, high performance, and efficient data modeling to support analytics, reporting, and operational needs. Key Responsibilities: Define the enterprise-wide data architecture strategy, including data modeling, storage, ETL/ELT frameworks, and data integration patterns. Architect and optimize scalable data pipelines using modern ETL/ELT tools and cloud-native services. Establish strong data governance practices covering data quality, security, lineage, metadata, and compliance. Collaborate with business stakeholders, solution architects, and development teams to convert business requirements into technical designs. Design logical and physical data models to support analytics, BI, ML, and transactional systems. Lead the modernization of legacy ETL workloads into cloud-based architectures (GCP, AWS, Azure, etc.). Ensure data scalability, performance tuning, and optimization of ETL pipelines and data stores. Define integration strategies across systems (batch, streaming, API-based ingestion, event-driven architectures). Evaluate and recommend modern data technologies, ETL tools, and best practices. Review code, perform architecture governance, and provide mentorship to data engineering teams. Develop standards, patterns, and reusable components for enterprise data platforms. Ensure end-to-end data security including encryption, access controls, and compliance with organizational policies. Required Skills & Experience: 8+ years of experience in Data Engineering, ETL Development, or Data Architecture. Strong proficiency in ETL/ELT tools (Informatica, Talend, DataStage, Matillion, DBT, Glue, Dataflow, etc.). Hands-on experience with cloud data platforms (GCP BigQuery, AWS Redshift/S3/Glue, Azure Synapse/Data Factory). Expertise in SQL, data modeling (Kimball, Inmon, Data Vault), and schema design for analytical and transactional systems. Experience designing scalable batch and streaming pipelines (Kafka, Pub/Sub, Kinesis, Spark Streaming). Solid understanding of data governance, metadata management, lineage, master data concepts, and security. Strong knowledge of Python or Java for ETL automation and data processing. Familiarity with containerization and orchestration (Docker, Kubernetes, Airflow, Cloud Composer). Ability to translate business requirements into data architecture designs. Excellent communication and documentation skills. Preferred Qualifications: Cloud certifications (GCP Professional Data Engineer, AWS Data Analytics, Azure Data Engineer). Experience with ML feature store architectures, data lakehouse models, or real-time data processing. Experience working in telecom, BFSI, retail, or large-scale enterprise environments.

Position Title: Quality Assurance Lead - Contractor Reason for open position: Backfill Pittsburgh PA - Two PNC Plaza 620 Liberty Ave Pittsburgh, PA 15222 Cleveland OH - Strongsville Technology Center 8100 Mohawk Dr. Strongsville, OH 44136 Provide locations/flexible work by preference: Most Preferred – Pittsburgh PA - Two PNC Plaza or Strongsville Technology Center ONLY Ability to work remote: Yes, 3 days in office, 2 remote Function of the Group: Data, mitigating risk Initiatives/Projects: ETL in lending data Industry background: Banking/financial background preferred Roles and Responsibilities: Candidate must be at least 8 years of experience with strong ETL/Hadoop data testing experience. He/She must have strong knowledge on SQL/HQL and able to work independently with minimal supervision. Also must have experience in Onsite/Offshore delivery model and well versed with STLC process. Must Have Technical Skills: 6-8 years experience ETL Hadoop SQL HQL Full knowledge STLC Worked in Onshore/Offshore delivery model Flex Skills/Nice to Have: Any Python development knowledge automation testing Education/Certifications: Bachelors, will look at experience in lieu of education Software testing or related areas certifications a plus. Screening Questions: Please tell us about your experience using SQL within the ETL process and what that experience looks like for you in your previous project Role Differentiator: Growth opportunity, onshore/offshore delivery, FTE conversion Interview Process: Behavioral & technical screening, panel style – up to 3 people. 1st round – 1 hour 2nd round – Optional Skills:????? SQL? ETL?? Full knowledge STLC?? HADOOP?? HQL??? Worked in Onshore/Offshore Delivery Model??? Share your resume with . Also connect me at LinkedIn : (16) Ariz J. Khan | LinkedIn Ref: #404-IT Pittsburgh

Azure Engineer Job Overview Responsible for the design, implementation, and administration of Azure Cloud environment. Responsibilities and Duties Design, implement, and manage cloud infrastructure solutions on Azure platform Develop and maintain documentation, standards, and policies for cloud infrastructure design and operations Troubleshoot and resolve issues related to cloud infrastructure, including performance bottlenecks, network connectivity, and resource contention Implement and manage Azure infrastructure services, including virtual machines, virtual networks (VNETs), load balancers, logic apps, functions and storage accounts Ensure the availability, performance, and security of cloud-based applications and services Collaborate with development and DevOps teams to ensure seamless integration and deployment of applications Develop and maintain Infrastructure as Code (IaC) using tools like Terraform, Bicep, or ARM templates to automate cloud deployment Qualifications 3-5 years’ experience with design and administration of Azure Cloud Services Excellent understanding of Microsoft Azure cloud services and infrastructure Knowledgeable in Azure Cloud Architecture, including but not limited to Azure Virtual Desktop, Intune and MDM management, VNet and Resource Groups, and Azure Virtual Network gateways Hands-on experience with core Azure services, including networking, security, storage, and identity management (Azure AD). Creating comprehensive technical documentation, including architecture diagrams, design specifications, and operational procedures, ensuring knowledge transfer and maintaining system integrity Experience with monitoring and logging tools like Azure Monitor, Log Analytics, and Application Insights Excellent communication skills with the ability to effectively collaborate with both technical and non-technical stakeholders Proficiency in scripting and automation with PowerShell, Python, or Bash Experience with Azure PaaS services such as App Services, Azure Functions, Logic Apps, and API Management Experience with CI/CD tools, including Azure DevOps, Bicep or Terraform Education and Training BS Degree in Computer Science or equivalent professional experience Microsoft Azure Administrator Associate desired Microsoft Certified: Azure Virtual Desktop Specialty desired

Mercor is seeking Physics PhDs for a premier project with one of the world's top AI labs. In this role, you will contribute your subject matter expertise to a cutting-edge project involving frontier large language models. Specifically, you will craft high-quality, challenging problems in your domain expertise with real-world applicability to inform the future of AI innovation. Ideal Qualifications: - Have a Masters or PhD in Physics from a top US university. - Have experience coding in Python, MATLAB for projects or research. - Have field-specific experience in Condensed Matter Physics, Optics, Quantum Information/Computing, Computational Physics, Astrophysics, Particle Physics - Have high attention to detail. - Have exceptional written and verbal communication skills. - Have excellent proficiency in English. - Are currently based in the U.S., Canada, New Zealand, UK, or Australia. Key Responsibilities: - You will work asynchronously with a team of highly qualified experts across your domain. - You will craft, solve, and review challenging problems with real world applicability. - The project is 15-20 hours of work per week with potential for increased hours and extension. - The work is fully remote and asynchronous. Role Start Date - This role will begin in late December with applications reviewed on a rolling basis. Interview Process - You will complete a short interview to assess your domain expertise. - You will be paid for up to 1 hour of onboarding time including the screening process and a few onboarding videos if you are hired. Compensation and Legal Details - You will be legally classified as an hourly contractor for Mercor. - You will be paid out at the end of each week via Stripe Connect. About Mercor Mercor connects elite creative and technical talent with leading AI research labs, headquartered in San Francisco, CA. Our distinguished investors include Benchmark, General Catalyst, Peter Thiel, Adam D’Angelo, Larry Summers, and Jack Dorsey.

Mercor is seeking PhD holders, doctoral candidates, and exceptional Master’s graduates in chemistry and related fields to join a high-impact AI research initiative in collaboration with a leading artificial intelligence lab. * * * ### Key Domains Here is a list of domains. If you belong to or have expertise in one or more of them, feel free to apply — we’re excited to have you on the team! Core Chemistry Disciplines: General Chemistry, Inorganic Chemistry, Organic Chemistry, Physical Chemistry Analytical and Specialized Chemistry: Analytical Chemistry, Electrochemistry, Radiochemistry, Polymer Chemistry Biological and Medicinal Chemistry: Biochemistry and Molecular Biology, Medicinal Chemistry Chemical Engineering and Process Sciences: Chemical Engineering and Technology, Fluid Flow and Heat Transfer in Chemical Engineering, Mass Transport and Separation Processes, Chemical Reaction Engineering * * * ### Key Responsibilities - Evaluate the scientific accuracy, reasoning, and technical rigor of LLM-generated content across chemical disciplines. - Review outputs on topics spanning molecular structure, kinetics, thermodynamics, catalysis, reaction mechanisms, and industrial processes. - Identify and document factual inaccuracies, logical inconsistencies, and reasoning gaps. - Provide structured feedback and benchmarking using specialized evaluation tools. - Work independently and asynchronously as part of a distributed research team. * * * ### Requirements - PhD (candidate/recipient) or Masters in Chemistry, Chemical Engineering, Biochemistry, or a closely related field. - Strong command of graduate-level chemistry concepts and scientific problem solving. - Excellent written communication and analytical thinking skills. - Ability to work independently in a remote, asynchronous environment. - Strong proficiency in Python, particularly for scientific analysis and model evaluation, is required. * * * ### Role Details - Part-time (approximately 20 hours/week) - Remote and asynchronous - Flexible schedule * * * ### Compensation - Contractor position via Mercor - $20–$30/hou, based on expertise and domain experience - Weekly payments via Stripe Connect * * * ### About Mercor Mercor is a San Francisco-based company connecting top professionals with leading AI initiatives. Investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey.

Mercor is seeking Biology PhDs for a premier project with one of the world's top AI labs. In this role, you will contribute your subject matter expertise to a cutting-edge project involving frontier large language models. Specifically, you will craft high-quality, challenging problems in your domain expertise with real-world applicability to inform the future of AI innovation. Ideal Qualifications: - Have a Masters or PhD in Biology from a top US university. - Have experience coding in Python, R for projects or research. - Have field-specific experience in Ecology, Biochemistry, or Genetics - Have high attention to detail. - Have exceptional written and verbal communication skills. - Have excellent proficiency in English. - Are currently based in the U.S., Canada, New Zealand, UK, or Australia. Key Responsibilities: - You will work asynchronously with a team of highly qualified experts across your domain. - You will craft, solve, and review challenging problems with real world applicability. - The project is 15-20 hours of work per week with potential for increased hours and extension. - The work is fully remote and asynchronous. Role Start Date - This role will begin in late December with applications reviewed on a rolling basis. Interview Process - You will complete a short interview to assess your domain expertise. - You will be paid for up to 1 hour of onboarding time including the screening process and a few onboarding videos if you are hired. Compensation and Legal Details - You will be legally classified as an hourly contractor for Mercor. - You will be paid out at the end of each week via Stripe Connect. About Mercor Mercor connects elite creative and technical talent with leading AI research labs, headquartered in San Francisco, CA. Our distinguished investors include Benchmark, General Catalyst, Peter Thiel, Adam D’Angelo, Larry Summers, and Jack Dorsey.

Role Overview Mercor is seeking data scientists to support one of the world’s leading AI labs in building robust, high‑performance systems for next‑generation machine learning applications. In this role, you will focus on hands‑on data science tasks, such as designing experiments, gathering and preprocessing data, building and evaluating models, and collaborating closely with engineering teams to deploy production‑ready solutions. Ideal candidates should be proficient in Python (Jupyter Notebooks), familiar with machine learning frameworks like TensorFlow or PyTorch, and experienced in analyzing large datasets and building predictive models. In addition, you will write, review, and validate prompt‑based questions used to train AI systems. * * * You are a good fit if you: - Have over 3+ years of professional experience in data science or applied analytics. - Are highly skilled in Python and Jupyter notebooks. - Have experience using libraries including numpy, pandas, scipy, sympy, scikit-learn, torch, tensorflow. - Have a bachelor's degree in data science, statistics, computer science, or related field in the U.S., Canada, New Zealand, UK or Australia. - Have a strong background in one or more of the following areas: exploratory data analysis and statistical inference, machine learning workflows and model evaluation, feature engineering/data preprocessing/data wrangling, or A/B testing/experimentation/causal inference. - Demonstrate excellent verbal and written communication skills. - Have strong attention to details. * * * ### More About the Opportunity - Commitment: 20–40 hours per week, with potential to scale up to 80 hours. - Structure: Fully remote and asynchronous - set your own schedule. - Duration: Minimum 1 months, with possible extension based on project scope and performance. - Start Date: Early September, with applications reviewed on a rolling basis. * * * ### Compensation & Contract Terms - Classified as an independent contractor for Mercor. - Hourly payments for services rendered, processed weekly via Stripe Connect. - Flexible terms based on location and expertise level. * * * ### Application Process - Submit your resume or project portfolio to get started. - Complete a brief form outlining your technical background and agent usage experience. - Applications are reviewed continuously, and selected professionals will be contacted with next steps. * * * ### About Mercor - Mercor is a talent marketplace connecting top experts with leading AI research labs and organizations. - Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey. - Thousands of technical professionals partner with Mercor to contribute to frontier AI projects shaping the next era of intelligent systems. * * *

Mercor is seeking PhD holders, doctoral candidates, and outstanding Master’s graduates in physics and related disciplines to join a high-impact AI research initiative in partnership with a leading artificial intelligence lab. * * * ### Key Domains Here is a list of domains. If you belong to or have expertise in one or more of them, feel free to apply — we’re excited to have you on the team! Fundamental Physics: Theoretical Mechanics, Theoretical Optics, Statistical Mechanics, Thermodynamics, Fluid Physics, Optics and Acoustics Modern & Applied Physics: Electromagnetism and Photonics, Atomic and Molecular Physics, Solid State Physics, Semiconductor Physics, Biophysics Space and Cosmological Sciences: Astrophysics and Cosmology Engineering Disciplines: Electrical Engineering, Control Theory and Control Engineering, Mechanical Engineering * * * ### Key Responsibilities - Evaluate scientific correctness, conceptual rigor, and depth of LLM-generated responses across physics and engineering topics. - Review outputs involving mathematical modeling, experimental methods, and theoretical frameworks in physics. - Identify factual errors, reasoning flaws, and conceptual misunderstandings in model outputs. - Benchmark model performance on advanced physics and applied engineering problems. - Work independently and asynchronously using proprietary evaluation tools. * * * ### Requirements - PhD (candidate/recipient) or Masters in Physics, Applied Physics, Electrical or Mechanical Engineering, or a closely related field. - Strong command of graduate-level physics and mathematical reasoning. - Excellent written communication and analytical abilities. - Ability to work independently in a remote, asynchronous setting. - Strong proficiency in Python, particularly for scientific analysis and model evaluation, is required. * * * ### Role Details - Part-time (20 hours/week) - Remote and asynchronous work environment - Flexible schedule to accommodate global contributors * * * ### Compensation - Contractor position via Mercor - $20–$30/hour, depending on expertise and domain depth - Weekly payments through Stripe Connect * * * ### About Mercor Mercor is a San Francisco-based company connecting top professionals with leading AI initiatives. Investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey.

Mercor is seeking Chemistry PhDs for a premier project with one of the world's top AI labs. In this role, you will contribute your subject matter expertise to a cutting-edge project involving frontier large language models. Specifically, you will craft high-quality, challenging problems in your domain expertise with real-world applicability to inform the future of AI innovation. Ideal Qualifications: - Have a Masters or PhD in Chemistry from a top US university. - Have experience coding in Python, R for projects or research. - Have field-specific experience in Quantum Chemistry or Computational Chemistry - Have high attention to detail. - Have exceptional written and verbal communication skills. - Have excellent proficiency in English. - Are currently based in the U.S., Canada, New Zealand, UK, or Australia. Key Responsibilities: - You will work asynchronously with a team of highly qualified experts across your domain. - You will craft, solve, and review challenging problems with real world applicability. - The project is 15-20 hours of work per week with potential for increased hours and extension. - The work is fully remote and asynchronous. Role Start Date - This role will begin in late December with applications reviewed on a rolling basis. Interview Process - You will complete a short interview to assess your domain expertise. - You will be paid for up to 1 hour of onboarding time including the screening process and a few onboarding videos if you are hired. Compensation and Legal Details - You will be legally classified as an hourly contractor for Mercor. - You will be paid out at the end of each week via Stripe Connect. About Mercor Mercor connects elite creative and technical talent with leading AI research labs, headquartered in San Francisco, CA. Our distinguished investors include Benchmark, General Catalyst, Peter Thiel, Adam D’Angelo, Larry Summers, and Jack Dorsey.

Mercor is hiring experienced Python Engineers to support a variety of high-impact research collaborations with leading AI labs. Freelancers will help improve AI systems through work extending coding benchmarks that reflect real-world development across diverse languages and domains. This is a unique opportunity to apply your engineering expertise toward shaping the next generation of intelligent systems. Key Responsibilities - Develop and validate coding benchmarks in Python by curating issues, solutions, and test suites from real-world repositories - Ensure benchmark tasks include comprehensive unit and integration tests for solution verification - Maintain consistency and scalability of benchmark task distribution - Provide structured feedback on solution quality and clarity - Debug, optimize, and document benchmark code for reliability and reproducibility Ideal Qualifications - 3–10 years of experience as a backend software engineer, ML engineer, or applied data scientist - Degree in Software Engineering, Computer Science, or a related field - Strong proficiency in Python - Experience with debugging, testing, and validating code - Comfortable with technical writing and attention to detail Project Timeline - Start Date: Immediate - Duration: 1 month - Commitment: Part-time (15–20 hours/week) - Schedule: Fully remote and asynchronous – flexible working hours Compensation & Contract - $80 per hour plus lucrative bonus per approved task (1 task takes approximately 1 hour to complete) - Median average pay inclusive of bonuses is $200/hr - Independent contractor - Daily payment via Stripe Connect Application & Onboarding Process - Upload your resume - AI interview: A short, 15-minute conversational session to understand your background, experience, and interest in the role - Brief assessment testing real-world coding ability, technical depth, and debugging approach - Follow-up communication within a few days with next steps and onboarding details About Mercor Mercor is a San Francisco-based company specializing in connecting elite professionals with cutting-edge AI initiatives. Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey. Thousands of professionals across engineering, research, and creative fields have partnered with Mercor on frontier projects shaping the future of AI. Apply today and leverage your software engineering expertise to help build the future of AI-driven systems!

Role Description Mercor is hiring on behalf of a leading AI research lab to bring on a highly skilled Data Scientist with a Kaggle Grandmaster profile. In this role, you will transform complex datasets into actionable insights, high-performing models, and scalable analytical workflows. You will work closely with researchers and engineers to design rigorous experiments, build advanced statistical and ML models, and develop data-driven frameworks to support product and research decisions. * * * ## What You’ll Do - Analyze large, complex datasets to uncover patterns, develop insights, and inform modeling direction - Build predictive models, statistical analyses, and machine learning pipelines across tabular, time-series, NLP, or multimodal data - Design and implement robust validation strategies, experiment frameworks, and analytical methodologies - Develop automated data workflows, feature pipelines, and reproducible research environments - Conduct exploratory data analysis (EDA), hypothesis testing, and model-driven investigations to support research and product teams - Translate modeling outcomes into clear recommendations for engineering, product, and leadership teams - Collaborate with ML engineers to productionize models and ensure data workflows operate reliably at scale - Present findings through well-structured dashboards, reports, and documentation * * * ## Qualifications - Kaggle Competitions Grandmaster or comparable achievement: top-tier rankings, multiple medals, or exceptional competition performance - 3–5+ years of experience in data science or applied analytics - Strong proficiency in Python and data tools (Pandas, NumPy, Polars, scikit-learn, etc.) - Experience building ML models end-to-end: feature engineering, training, evaluation, and deployment - Solid understanding of statistical methods, experiment design, and causal or quasi-experimental analysis - Familiarity with modern data stacks: SQL, distributed datasets, dashboards, and experiment tracking tools - Excellent communication skills with the ability to clearly present analytical insights * * * ## Nice to Have - Strong contributions across multiple Kaggle tracks (Notebooks, Datasets, Discussions, Code) - Experience in an AI lab, fintech, product analytics, or ML-focused organization - Knowledge of LLMs, embeddings, and modern ML techniques for text, images, and multimodal data - Experience working with big data ecosystems (Spark, Ray, Snowflake, BigQuery, etc.) - Familiarity with statistical modeling frameworks such as Bayesian methods or probabilistic programming * * * ## Why Join - Gain exposure to cutting-edge AI research workflows, collaborating closely with data scientists, ML engineers, and research leaders shaping next-generation analytical systems. - Work on high-impact data science challenges while experimenting with advanced modeling strategies, new analytical methods, and competition-grade validation techniques. - Collaborate with world-class AI labs and technical teams operating at the frontier of forecasting, experimentation, tabular ML, and multimodal analytics. - Flexible engagement options (30-40 hrs/week or full-time) — ideal for data scientists eager to apply Kaggle-level problem-solving to real-world, production analytics. - Fully remote and globally flexible work structure — optimized for deep analytical work, async collaboration, and high-output research.

1\. Role OverviewMercor is seeking applied data science professionals to support a strategic analytics initiative with a global enterprise. This contract-based opportunity focuses on extracting insights, building statistical models, and informing business decisions through advanced data science techniques. Freelancers will translate complex datasets into actionable outcomes using tools like Python, SQL, and visualization platforms. This short-term engagement emphasizes experimentation, modeling, and stakeholder communication — distinct from production ML engineering. 2\. Key Responsibilities ● Translate business questions into data science problems and analytical workflows ● Conduct data wrangling, exploratory analysis, and hypothesis testing ● Develop statistical models and predictive tools for decision support ● Create compelling data visualizations and dashboards for business users ● Present findings and recommendations to non-technical stakeholders 3\. Ideal Qualifications ● 5+ years of applied data science or analytics experience in business settings ● Proficiency in Python or R (pandas, NumPy, Jupyter) and strong SQL skills ● Experience with data visualization tools (e.g., Tableau, Power BI) ● Solid understanding of statistical modeling, experimentation, and A/B testing ● Strong communication skills for translating technical work into strategic insights 4\. More About the Opportunity ● Remote ● Expected commitment: min 30 hours/week ● Project duration: ~6 weeks 5\. Compensation & Contract Terms ● $75–100/hour ● Paid weekly via Stripe Connect ● You’ll be classified as an independent contractor 6\. Application Process ● Submit your resume followed by domain expertise interview and short form 7.About Mercor ● Mercor is a talent marketplace that connects top experts with leading AI labs and research organizations ● Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey ● Thousands of professionals across domains like law, creatives, engineering, and research have joined Mercor to work on frontier projects shaping the next era of AI

Role OverviewMercor is collaborating with a global insurance and financial services client to support actuarial modeling processes via high-quality data preparation. We are seeking actuarial professionals with experience in seriatim data extraction, cleansing, and validation from life insurance policy administration systems. This opportunity centers around ensuring reliable, audit-ready datasets for valuation, modeling, and financial reporting workflows. This is a short-term, project-based opportunity with high autonomy and clearly scoped deliverables. Key Responsibilities - Extract policy-level data for a given valuation date from systems such as FAST, OIPA, or Sapiens. - Validate record counts against control totals and identify missing or inconsistent fields. - Reconcile in-force movements between periods, including new issues and terminations. - Identify and flag policies with anomalous data for manual review. - Map product codes to actuarial model inputs and document data assumptions. - Deliver a clean, formatted dataset suitable for actuarial projection software. Ideal Qualifications - 5+ years of experience in actuarial data processing or valuation support. - Familiarity with life insurance policy administration systems (e.g., OIPA, FAST, LIFE/400). - Proficiency with Excel and data quality tools; basic scripting knowledge (SQL, Python) is a plus. - Strong attention to detail and understanding of actuarial data structures. - Ability to clearly document data anomalies and reconciliation logic. More About the Opportunity - Remote and asynchronous — control your own work schedule - Expected commitment: min 30 hours/week - Project duration: ~6 weeks Compensation & Contract Terms - $75–100/hour - Independent contractor arrangement - Paid weekly via Stripe Connect Application Process - Submit your resume followed by domain expertise interview and short form About Mercor - Mercor is a talent marketplace that connects top experts with leading AI labs and research organizations. - Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey. - Thousands of professionals across domains like law, creatives, engineering, and research have joined Mercor to work on frontier projects shaping the next era of AI.

Mercor is seeking software engineers to support one of the world’s leading AI labs in building robust, high-performance systems that serve the needs of next-generation machine learning applications. This role involves using coding agents to perform a variety of realistic coding tasks on real world codebases. * * * You are good fit if you: - Have extensive experience using coding agents as part of your software engineering workflow (codex, claude code, etc.). - Fluent in one of the following languages: Rust, JavaScript/TypeScript, Python. - Contributions to open source projects. - Extensive work on robust personal projects that are shared publicly on GitHub. - Hold a Computer Science degree from a prestigious university in the U.S., Canada, U.K., Australia or New Zealand. - Currently located in the U.S., Canada, U.K., Australia or New Zealand. - Demonstrate exceptional attention to detail and rigorous problem-solving skills. - Excel in both written and verbal communication. * * * Role Highlights - Flexible workload: 10–20 hours per week, with potential to increase to 40 hours. - Fully remote and asynchronous—work on your own schedule. - Minimum duration: 2 weeks, with potential for extension. * * * Role Start Date - This role will begin early October with applications reviewed on a rolling basis. * * * Compensation and Legal Details - You will be legally classified as an hourly contractor for Mercor - We will pay you out at the end of each week via Stripe Connect * * * About Mercor Mercor connects elite creative and technical talent with leading AI research labs, headquartered in San Francisco, CA. Our distinguished investors include Benchmark, General Catalyst, Peter Thiel, Adam D’Angelo, Larry Summers, and Jack Dorsey. Apply today and redefine digital creativity alongside groundbreaking AI technologies!

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

Role Overview Mercor is collaborating with a leading AI research organization seeking exceptional early-career software engineers from the United States, United Kingdom, Canada, Australia, and New Zealand. This short-term engagement offers a unique opportunity to contribute to the development and optimization of advanced AI systems. Participants will work on high-impact engineering projects requiring strong technical execution, precision, and adaptability. This is a 2-week project-based contract ideal for independent contributors with strong software engineering fundamentals. ### Key Responsibilities - Evaluate and annotate code snippets, scripts, and software tasks for accuracy and quality. - Identify logical errors, inefficiencies, and improvements in code samples. - Provide structured feedback on programming logic, implementation, and clarity. - Work independently to meet daily annotation and review goals. - Maintain consistency and precision when applying labeling guidelines. ### Ideal Qualifications - Bachelor’s degree or equivalent experience in Computer Science, Software Engineering, or a related technical field. - Proficiency in more than one major programming language (Python, C++, Go, or Java). - Strong understanding of algorithms, data structures, debugging, and code analysis. - Exceptional analytical, communication, and problem-solving skills. - Prior experience working on structured software engineering evaluations or benchmarks is a plus. - Residency in one of the following regions: United States, United Kingdom, Canada, Australia, or New Zealand. ### More About the Opportunity - Fully remote and asynchronous — set your own schedule. - Expected commitment: 20–30 hours per week. - Project duration: approximately 2 weeks. - Short-term, high-intensity contract supporting cutting-edge AI development. ### Compensation & Contract Terms - Payments processed weekly via Stripe Connect. - Engagement structured as an independent contractor relationship. ### Application Process - Submit your resume and/or GitHub portfolio to begin. - Complete a required technical assessment as part of the selection process. - Applicants will be notified of next steps within 5–7 business days after submission. ### About Mercor - Mercor is a talent marketplace connecting top experts with leading AI labs and research organizations. - Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey. - Thousands of professionals across engineering, research, law, and creative fields collaborate through Mercor on frontier projects shaping the next era of AI.

Mercor is seeking Material Science PhDs for a premier project with one of the world's top AI labs. In this role, you will contribute your subject matter expertise to a cutting-edge project involving frontier large language models. Specifically, you will craft high-quality, challenging problems in your domain expertise with real-world applicability to inform the future of AI innovation. Ideal Qualifications: - Have a Masters or PhD in Material Science from a top US university. - Have experience coding in Python, MATLAB for projects or research. - Have field-specific experience in Semiconductor Materials, Molecular Modeling - Have high attention to detail. - Have exceptional written and verbal communication skills. - Have excellent proficiency in English. - Are currently based in the U.S., Canada, New Zealand, UK, or Australia. Key Responsibilities: - You will work asynchronously with a team of highly qualified experts across your domain. - You will craft, solve, and review challenging problems with real world applicability. - The project is 15-20 hours of work per week with potential for increased hours and extension. - The work is fully remote and asynchronous. Role Start Date - This role will begin in late December with applications reviewed on a rolling basis. Interview Process - You will complete a short interview to assess your domain expertise. - You will be paid for up to 1 hour of onboarding time including the screening process and a few onboarding videos if you are hired. Compensation and Legal Details - You will be legally classified as an hourly contractor for Mercor. - You will be paid out at the end of each week via Stripe Connect. About Mercor Mercor connects elite creative and technical talent with leading AI research labs, headquartered in San Francisco, CA. Our distinguished investors include Benchmark, General Catalyst, Peter Thiel, Adam D’Angelo, Larry Summers, and Jack Dorsey.

Job Description: AI Task Evaluation & Statistical Analysis Specialist ## Role Overview We're seeking a data-driven analyst to conduct comprehensive failure analysis on AI agent performance across finance-sector tasks. You'll identify patterns, root causes, and systemic issues in our evaluation framework by analyzing task performance across multiple dimensions (task types, file types, criteria, etc.). ## Key Responsibilities - Statistical Failure Analysis: Identify patterns in AI agent failures across task components (prompts, rubrics, templates, file types, tags) - Root Cause Analysis: Determine whether failures stem from task design, rubric clarity, file complexity, or agent limitations - Dimension Analysis: Analyze performance variations across finance sub-domains, file types, and task categories - Reporting & Visualization: Create dashboards and reports highlighting failure clusters, edge cases, and improvement opportunities - Quality Framework: Recommend improvements to task design, rubric structure, and evaluation criteria based on statistical findings - Stakeholder Communication: Present insights to data labeling experts and technical teams ## Required Qualifications - Statistical Expertise: Strong foundation in statistical analysis, hypothesis testing, and pattern recognition - Programming: Proficiency in Python (pandas, scipy, matplotlib/seaborn) or R for data analysis - Data Analysis: Experience with exploratory data analysis and creating actionable insights from complex datasets - AI/ML Familiarity: Understanding of LLM evaluation methods and quality metrics - Tools: Comfortable working with Excel, data visualization tools (Tableau/Looker), and SQL ## Preferred Qualifications - Experience with AI/ML model evaluation or quality assurance - Background in finance or willingness to learn finance domain concepts - Experience with multi-dimensional failure analysis - Familiarity with benchmark datasets and evaluation frameworks - 2-4 years of relevant experience

1) Role Overview Mercor is seeking experienced PyTorch experts who excel in extending and customizing the framework at the operator level. Ideal contributors are those who deeply understand PyTorch’s dispatch system, ATen, autograd mechanics, and C++ extension interfaces. These contractors bridge research concepts and high-performance implementation, producing clear, maintainable operator definitions that integrate seamlessly into existing codebases. ### 2) Key Responsibilities - Design and implement new PyTorch operators and tensor functions in C++/ATen. - Build and validate Python bindings with correct gradient propagation and test coverage. - Create “golden” reference implementations in eager mode for correctness validation. - Collaborate asynchronously with CUDA or systems engineers who handle low-level kernel optimization. - Profile, benchmark, and report performance trends at the operator and graph level. - Document assumptions, APIs, and performance metrics for reproducibility. ### 3) Ideal Qualifications - Deep understanding of PyTorch internals (TensorIterator, dispatcher, autograd engine). - Strong background in C++17+ and template metaprogramming within PyTorch’s ecosystem. - Experience authoring or extending PyTorch custom ops or backends. - Working knowledge of performance profiling tools and GPU/CPU interplay. - Strong written communication and ability to deliver well-documented, self-contained modules. - Prior open-source contributions to PyTorch, TorchInductor, Triton, or related projects are a plus. ### 4) More About the Opportunity - Ideal for contractors who enjoy building clean, high-performance abstractions in deep learning frameworks. - Work is asynchronous, flexible, and outcome-oriented. - Collaborate with CUDA optimization specialists to integrate and validate kernels. - Projects may involve primitives used in state-of-the-art AI models and benchmarks. ### 5) Compensation & Contract Terms - Typical range: $100–$200/hour, depending on experience and project scope. - Structured as an independent contractor engagement, not employment. - Payments for services rendered on a milestone or weekly invoice cadence. - Confidentiality and IP assignment agreements may apply. ### 6) Application Process - Share a concise summary of your experience with PyTorch internals and systems-level programming. - Include links to open-source work, GitHub PRs, or sample operator implementations. - Provide hourly rate, availability, and relevant technical background. - Selected experts may complete a short, paid pilot module to demonstrate fit. ### 7) About Mercor - Mercor connects top-tier independent professionals with leading AI labs and research organizations. - Contractors retain full control over their work, schedule, and deliverables. - Our engagements focus on high-skill, high-autonomy technical work across AI systems and optimization

At Mercor, we’re building the talent engine that helps leading labs and research orgs move AI forward. Our latest initiative focuses on benchmarking and improving model performance and training speed across real ML workloads. If you’re an early-career Machine Learning Engineer or an ML PhD who cares about innovation and impact, we’d love to meet you. ## What to Expect As a Machine Learning Engineer, you’ll tackle diverse problems that explore ML from unconventional angles. This is a remote, asynchronous, part-time role designed for people who thrive on clear structure and measurable outcomes. - Schedule: Remote and asynchronous—set your own hours - Commitment: ~20 hours/week - Duration: Through December 22nd, with potential extension into 2026 ## What You’ll Do - Draft detailed natural-language plans and code implementations for machine learning tasks - Convert novel machine learning problems into agent-executable tasks for reinforcement learning environments - Identify failure modes and apply golden patches to LLM-generated trajectories for machine learning tasks ## What You’ll Bring - Experience: 0–2 years as a Machine Learning Engineer or a PhD in Computer Science (Machine Learning coursework required) - Required Skills: Python, ML libraries (XGBoost, Tensorflow, scikit-learn, etc.), data prep, model training, etc. - Bonus: Contributor to ML benchmarks - Location: MUST be based in the United States ## Compensation & Terms - Rate: $80-$120/hr, depending on region and experience - Payments: Weekly via Stripe Connect - Engagement: Independent contractor ## How to Apply 1. Submit your resume 2. Complete the System Design Session (< 30 minutes) 3. Fill out the Machine Learning Engineer Screen (<5 minutes) ## Why Mercor Mercor is a talent marketplace connecting top experts with leading AI labs and research organizations. Our investors include Benchmark, General Catalyst, Adam D’Angelo, Larry Summers, and Jack Dorsey. Thousands of professionals across law, creative fields, engineering, and research use Mercor to work on frontier projects shaping the next era of AI.

Job Description: We are looking for a talented Full Stack Developer with strong experience in ReactJS and Java to join our team. The ideal candidate should have solid technical expertise in both frontend and backend development and be comfortable working in an onsite, collaborative environment. Key Responsibilities: Develop and maintain web applications using ReactJS, JavaScript, and TypeScript. Design and implement backend services and APIs using Java and Python. Integrate frontend and backend components for seamless functionality. Utilize AI-assisted coding tools to enhance development productivity. Collaborate with cross-functional teams, including QA and product management, to deliver high-quality solutions. Required Skills: Strong expertise in ReactJS, JavaScript, and TypeScript. Experience developing RESTful APIs using Java and Spring Boot. Proficiency in Python for backend integration. Familiarity with AI coding assistants such as Claude or GitHub Copilot. Excellent debugging, analytical, and problem-solving skills.

Palantir Data Engineer – Dallas, TX Hybrid Job Description We are seeking a skilled Palantir Data Engineer to join our data and AI team in Dallas, TX. In this role, you will design and deploy scalable data pipelines, ontologies, and machine learning models using Palantir Foundry and other modern data platforms. You will work closely with stakeholders to integrate data, optimize workflows, and enable AI-powered decisions across critical functions such as supply chain, defense, and operations. Responsibilities • Build and maintain data pipelines and workflows in Palantir Foundry, integrating structured and unstructured data., • Develop and manage ontology models and object logic within Foundry to align with business use cases., • Design, train, and deploy ML models for classification, optimization, and forecasting use cases., • Apply feature engineering, data cleaning, and modeling techniques using Python, Spark, and ML libraries., • Support model deployment, monitoring, and ML Ops using tools like MLflow and Databricks., • Create dashboards and data applications using Slate or Streamlit to enable operational decision-making., • Implement generative AI use cases using large language models (GPT-4, Claude, Cohere) and Retrieval-Augmented Generation (RAG)., • Collaborate with data scientists, engineers, and product owners to deliver end-to-end data solutions., • Work directly with clients to define data requirements and guide platform enablement., • 5+ years of experience in data engineering, machine learning, or AI deployment., • Proficiency with Palantir Foundry (pipelines, code workbooks, ontology modeling)., • Strong programming skills in Python, Scala, or Java; experience with Spark and cloud platforms., • Hands-on experience with Unix/Linux environments and big data tools., • Familiarity with ML Ops, model retraining, and monitoring best practices., • Excellent communication and client engagement skills. Bachelor’s degree in Computer Science, Engineering, Data Science, or a related field. A Master’s degree is preferred.

Kafka Engineer Onsite - Dallas, TX/Boston, MA Long Term Required Skills: • 5+ years in integration or platform engineering roles., • 2+ years automating IBM API Connect and/or DataPower Gateway deployments., • Strong experience with Confluent Kafka, including connectors, schemas, and streaming tools., • Programming/scripting in Python, Java, or Node.js for integration workflows., • Experience with Ansible, Helm, or Terraform for infrastructure as code., • Familiarity with Kubernetes, Docker, and secure cloud API gateways.

Hiring: Cybersecurity Engineer Location: Dallas, TX / Chicago, IL / Peoria, IL Duration: 12 months contract About the Role We are seeking an experienced Lead Cybersecurity Engineer to join our dynamic team and drive secure-by-design principles across our cloud and application environments. In this role, you will collaborate closely with development teams to identify, assess, and remediate security vulnerabilities, ensuring robust protection across our AWS and Azure ecosystems. Key Responsibilities • Lead Security by Design and integrate security throughout the SDLC., • Perform security defect management — analyze, validate, and consult on issues found via tools like CodeQL, Rapid7, penetration tests, and bug bounty programs., • Provide engineering consulting to developers, architects, and product teams on secure design and implementation best practices., • Manage tool enablement and monitoring for automated vulnerability detection tools (CodeQL, Rapid7, etc.)., • Coordinate security testing and onboarding, including penetration testing and assurance assessments. Technical Skills Required: • Application Security (OWASP, CWE/CVE, SANS 25), • Enterprise Security Architecture, Threat Modeling, and Risk Analysis, • SDLC, DevSecOps, and API Security, • Cloud Security (AWS, Azure), • SCA / SAST / DAST tools, • Hands-on development experience in Java, Python, .NET, or JavaScript, • Automation and scripting for security processes, • Security certifications preferred (CISSP, CCSP, GWAPT, GWEB, AWS Certified Security, etc.) Preferred: • Web Services Security, • CSSLP, GISCP, or other advanced security certifications, • Experience integrating security technologies in enterprise environments #Cybersecurity #AWS #DevOps #Python #SDLC #IaC #SAST #DAST #CISSP #CCSP

Title: Sr. Cybersecurity Cloud Engineer Location: Irving, TX (75039) / Onsite Employment Type: Fulltime Direct Hire (No C2C or sponsorship) Job Description: Talent Groups is seeking a Sr. Cybersecurity Cloud Engineer to join our client’s growing cybersecurity team. In this role, you will design, implement, and maintain cloud and hybrid security solutions that protect enterprise networks, assets, and users. You’ll work across Azure and AWS environments, build cloud security guardrails, create Splunk queries and alerts, tune detection systems, and collaborate closely with senior leadership and other cybersecurity teams. This role requires both technical expertise and the ability to communicate complex security concepts to non-technical stakeholders. Key Responsibilities: • Engineer, deploy, and manage enterprise security tools including DLP, HIPS, SIEM, Endpoint Security, Vulnerability Management, Email Gateways, Certificate Management, SSL/TLS encryption/decryption, Identity Management, Cloud Security, and Database Security., • Build and tune security guardrails in Azure and AWS environments., • Develop Splunk queries, alerts, and policies to detect and respond to threats., • Collaborate with DevOps, cloud engineering, and incident response teams to enhance security posture., • Participate in risk assessments and security incident investigations., • Recommend, evaluate, and implement new security tools and processes., • Maintain documentation, standards, and technical requirements. Qualifications: • 5+ years of cloud experience (Azure and/or AWS)., • Advanced knowledge of networking concepts, application protocols, and hybrid/cloud environments., • Strong expertise in cloud security design, architecture, and implementation., • Hands-on experience with Kubernetes, Terraform, Agile, and CI/CD pipelines., • Proficiency in scripting/automation (Python, Go, Ruby, etc.)., • Familiarity with frameworks like NIST CSF or ISO 27001., • Excellent communication skills with the ability to present to executives., • Bachelor’s degree in a related field is strongly preferred., • Certifications such as CISSP, CCNP-Security, GIAC, CEH, CPTS are a plus. Talent Groups is an equal opportunity employer. We appreciate all applications; however, only candidates selected for interviews will be contacted.

Job Title: Pl/SL Database Developer - W2 only - We can provide sponsorship Duration: Long Term Location: Westlake, TX - Hybrid - 2 weeks in a month onsite MUST HAVE: PL/SQL, Co-Pilot, AWS and python are nice to have. The Skills and Expertise You Bring • Bachelor’s degree in computer science engineering or equivalent, • 8+ years of relevant experience in database development, • 8+ years hands-on RDBMS expertise (Oracle, Exadata, PostgreSQL)., • Extensive hands-on experience with ETL/ELT tools (Informatica, SnapLogic)., • Expertise in Data Analysis, Data Profiling and Data Modeling skills., • Knowledge of Data Warehousing methodologies and concepts., • Build and maintain robust ETL pipelines to integrate data from multiple sources into OLAP data stores, ensuring data integrity and consistency., • Bring an innovative spirit in search of efficiencies, process improvement opportunities, technical improvements, and other ways to add value to the organization with focus on operations improvement., • Extensive experience with PL/SQL, database stored procedures, and performance tuning., • Proficiency in Python, • Proficiency with python for data movement/transformation including development of classes and object-oriented code., • Complex batch cycle orchestration (tools like Control-M, Autosys or Crontab)., • Implement best practices in data security, role-based access control, and data masking to maintain compliance and data governance standards., • Knowledge of Cloud platforms and Services (AWS – IAM, EC2, S3, Lambda, RDS)., • Knowledge of data streaming tools like Kafka, Kinesis., • Design experience of scalable data models, optimized for data ingestion and analytics requirements including SCD., • Developing and automating deployment with GIT, Jenkins, and CICD Processes. Skills that are an advantage: • Knowledge of non-RDBMS databases like Graph, No-SQL, Timeseries databases., • Working knowledge of analytics and BI front-end tools like Power BI, Tableau, and ThoughtSpot., • Financial Services experience.

Trinity Industries is searching for a Sr. Data Engineer to join our Data Analytics team in Dallas, TX! The successful candidate will work with the Trinity Rail teams to develop and maintain data pipelines in Azure utilizing Databricks, Python and SQL. Join our team today and be a part of Delivering Goods for the Good of All! What you'll do: • Facilitate technical design of complex data sourcing, transformation and aggregation logic, ensuring business analytics requirements are met, • Work with leadership to prioritize business and information needs, • Engage with product and app development teams to gather requirements, and create technical requirements, • Utilize and implement data engineering best practices and coding strategies, • Be responsible for data ingress into storage What you'll need: • Bachelor’s Degree Computer Science, Information Management, or related field required; Masters preferred, • 8+ years in data engineering including prior experience in data transformation, • Databricks experience building data pipelines using the medallion architecture, bronze to gold, • Advanced skills in Spark and structured streaming, SQL, Python, • Technical expertise regarding data models, database design/development, data mining and other segmentation techniques, • Experience with data conversion, interface and report development, • Experience working with IOT and/or geospatial data in a cloud environment (Azure), • Adept at queries, report writing and presenting findings, • Prior experience coding utilizing repositories and multiple coding environments, • Must possess effective communication skills, both verbal and written, • Strong organizational, time management and multi-tasking skills, • Experience with data conversion, interface and report development, • Adept at queries, report writing and presenting findings, • Process improvement and automation a plus Nice to have: • Databricks Data Engineering Associate or Professional Certification > 2023

We are looking for a Senior GitLab Engineer to lead our CI/CD modernization, drive GitLab administration, and migrate legacy automation into a unified GitLab platform. The ideal candidate will have deep hands-on GitLab expertise, strong DevOps skills, and experience transforming CI/CD ecosystems at scale. Responsibilities • 3+ years of hands-on experience with GitLab CI/CD, GitLab Runners, and GitLab administration, • Proven experience migrating Jenkins/other legacy pipelines to GitLab CI/CD, • Strong skills in creating, optimizing, and securing GitLab pipelines (YAML, caching, templates, artifacts), • Experience managing GitLab groups, projects, permissions, SSO/SAML/LDAP, RBAC, backup/restore, • Solid understanding of Docker containerization and ability to support migration from Docker to Podman/Buildah, • Hands-on experience with Terraform and Ansible for provisioning runners, infrastructure, and GitOps workflows, • Strong scripting expertise (Bash, Python, or Go) for automation and pipeline development, • Experience integrating security tools (SAST, DAST, container scanning, code quality checks) into CI/CD pipelines, • Familiarity with cloud environments (AWS, Azure, or GCP) and deploying GitLab runners in cloud or hybrid setups, • Ability to collaborate with application teams, troubleshoot CI/CD issues, and drive best practices across engineering

Job Title: Data Engineer(python, Pyspark, data bricks) Location: Dallas, TX Data Engineer with strong proficiency in SQL, Python, and PySpark to support high-performance data pipelines and analytics initiatives. This role will focus on scalable data processing, transformation, and integration efforts that enable business insights, regulatory compliance, and operational efficiency. Data Engineer – SQL, Python and Pyspark Expert (Onsite – Dallas, TX) Key Responsibilities Design, develop, and optimize ETL/ELT pipelines using SQL, Python, and PySpark for large-scale data environments Implement scalable data processing workflows in distributed data platforms (e.g., Hadoop, Databricks, or Spark environments) Partner with business stakeholders to understand and model mortgage lifecycle data (origination, underwriting, servicing, foreclosure, etc.) Create and maintain data marts, views, and reusable data components to support downstream reporting and analytics Ensure data quality, consistency, security, and lineage across all stages of data processing Assist in data migration and modernization efforts to cloud-based data warehouses (e.g., Snowflake, Azure Synapse, GCP BigQuery) Document data flows, logic, and transformation rules Troubleshoot performance and quality issues in batch and real-time pipelines Support compliance-related reporting (e.g., HMDA, CFPB) Required Qualifications 6+ years of experience in data engineering or data development Advanced expertise in SQL (joins, CTEs, optimization, partitioning, etc.) Strong hands-on skills in Python for scripting, data wrangling, and automation Proficient in PySpark for building distributed data pipelines and processing large volumes of structured/unstructured data Experience working with mortgage banking data sets and domain knowledge is highly preferred Strong understanding of data modeling (dimensional, normalized, star schema) Experience with cloud-based platforms (e.g., Azure Databricks, AWS EMR, GCP Dataproc) Familiarity with ETL tools, orchestration frameworks (e.g., Airflow, ADF, dbt)

Sagemcom is a ground-breaking technology integrator in telecoms and energy. Sagemcom's teams all over the world continuously strive to innovate on their various markets and are committed to delivering made-to-measure and responsible solutions every day that meet the needs of telecoms operators and utilities. Today, our Group is: • The worldwide N°1 provider of broadband solutions (Internet boxes and the associated software services), • The leading provider of audio-video solutions (4K video hubs and the Video SoundBox™ ), • The leading European provider of smart grid solutions (smart meters, smart grids, rural electrification, IoT) Sagemcom posted €2,3 billion of revenues in 2024. The headcount of 6,500 employees works in more than 50 countries. Sagemcom strives every day to honour its commitment to societal and environmental responsibility, as part of its continual improvement policy. This is the reason why Sagemcom became a "mission-driven company" at the start of January 2022. Do you want to join us? Sagemcom is looking for job applicants in R&D, business, purchasing and support. People who are agile and like to be independent in agile organisations, who enjoy travelling and have their fair share of creativity, will achieve self-fulfilment in this industrial group that manufactures high-technology products! We are seeking a highly skilled WiFi Expert to join our innovative team. This role focuses on the design, development, and optimization of next-generation high-performance WiFi access points. You will work closely with hardware, firmware, and software teams to deliver reliable, standards-compliant, and high-throughput wireless solutions that push the boundaries of IEEE 802.11 technologies. This position offers the opportunity to work with leading wireless SoC platforms (Qualcomm, Broadcom, MediaTek) and contribute to evolving Wi-Fi standards through active participation in IEEE 802.11 and Wi-Fi Alliance working groups. Responsibilities: • Present WiFi technology and product roadmap to Sagemcom customers., • Guide customers during the product definition phase., • Participate in hardware design choices (key components, cost driven conception)., • Collaborate with cross-functional teams on RF front-end architecture, antenna design, embedded firmware and drivers., • Determine the test strategy and equipment to ensure the functionality and performance of the products., • Run tests and analyze test results., • Investigate and solve complex issues together with other Sagemcom teams and chipset manufacturers., • Ensure compliance with regulatory standards (FCC) and Wi-Fi Alliance certification processes., • Participate in IEEE 802.11 standards development, contribute to Wi-Fi Alliance task groups, and represent the company in technical working groups., • Follow chip-maker roadmaps., • Conduct training to Sagemcom engineering groups. Maintain a corporate knowledge database., • Provide technical guidance and mentorship to junior team members. Qualifications: • 10+ years of experience in WiFi access point design, development, or optimization., • In-depth knowledge of IEEE 802.11ax (WiFi 6/6E) and 802.11be (WiFi 7) standards., • Experience with MIMO, MU-MIMO, Beamforming, OFDMA, WPA2, WPA3/T, DFS, MLO, TWT, BSS Coloring, RSNO, … mechanisms., • Familiar with LAN network protocols: EAP, Radius, IPv4/v6, DHCP, ARP, ICMPv4/v6, IGMP, NAT, DNS., • Hands-on experience with wireless SoC platforms (Qualcomm IPQ/ATH, Broadcom, MediaTek)., • Programming skills in C/C++ for embedded systems, shell, python., • Proficiency with WiFi-related linux tools: hostapd/wpa_supplicant iwconfig, wlctl, uci, …, • Mastery of debugging and performance measurement tools such as Wireshark, tcpdump, iPerf, IxChariot, etc., • Familiarity with WiFi test equipment: Veriwave, Candela, Octoscope, …, • Involvement in IEEE 802.11 or Wi-Fi Alliance working groups., • Familiarity with WFA certifications and regulatory compliance (FCC, CE, SRRC)., • Understanding of RF: Antenna design, matching, calibration, filtering, coexistence, FEM and filter offerings and roadmap, power and sensitivity measurements, PSD, band edge, AFC, • Implement and validate WPA3, 802.1X, RADIUS, EAP, and Fast BSS Transition (802.11r)., • Ability to work closely with international, distributed, cross-functional teams. Benefits: • 401(k), • Health Insurance, • Dental insurance, • Vision insurance, • Paid time off

Job Title: Senior Palantir SME / Technical Expert Location: Dallas, TX (3 days per week on-site) Contract/Perm: Contract Duration: 12 months Day Rate/Salary: Competitive Overview A confidential engineering organisation is seeking a Palantir Subject Matter Expert to lead the architecture, deployment, and optimisation of complex data and AI platforms. You’ll bring deep experience in Palantir ecosystems, high-scale data engineering, and emerging LLM-driven or agentic AI capabilities. What You’ll Do • Architect scalable data and AI platforms across distributed systems, • Lead design and deployment of Palantir-based solutions within enterprise environments, • Build and optimise intelligent/agentic AI systems for reasoning and decision support, • Guide AI strategy and best practice in data architecture and model governance, • Partner with engineering, product, and data science teams to deliver high-impact solutions, • Evaluate and integrate modern cloud, ML, and orchestration frameworks, • Mentor teams on Palantir tooling, AI/ML workflows, and advanced engineering patterns What You’ll Bring • Significant experience as a Palantir SME (Foundry preferred), • Background in high-scale technology or enterprise data environments, • Strong hands-on engineering in Python, Java, or Scala, • Deep understanding of LLMs, RAG, autonomous/agentic AI systems, • Experience with data pipelines, microservices, and distributed systems, • Cloud expertise: GCP, AWS, or Azure, • Strong system design and stakeholder engagement skills Nice-to-Have • MSc/PhD in CS, Data, or AI, • Experience leading AI/ML or data platform initiatives, • Knowledge of orchestration frameworks (e.g. LangChain-style toolchains), • Exposure to mission-critical or regulated enterprise environments Package & Setup 12-month engagement, competitive day rate, hybrid model with 3 days per week on-site in Dallas. Streamlined interview process with technical discussion + practical evaluation. How to Apply: DM me or reply here; Brio Digital are managing this confidential search.

About the Company: We are looking for an experienced PYTHON-AWS Full Stack Developer with strong skills in Python development, cloud automation, and Infrastructure as Code (IaC). The right candidate will have hands-on expertise in AWS services such as Glue, Lambda, EventBridge, S3, IAM, Redshift, API Gateway, and CloudFormation. Familiarity with GitLab source control, Terraform, CI/CD pipelines, and containerization tools like Kubernetes and Docker is highly preferred. About the Role: The role involves developing, deploying, and maintaining serverless applications and managing AWS infrastructure. Responsibilities: • Develop, deploy, and maintain serverless applications using AWS Lambda, Glue, EventBridge, and API Gateway., • Design and manage AWS infrastructure using Terraform and CloudFormation templates., • Work with AWS Redshift to support data analytics and reporting solutions., • Manage IAM roles, policies, and security configurations across AWS services., • Build and maintain GitLab CI/CD pipelines for automating builds, testing, and deployments of Python-based applications., • Optimize AWS S3 storage for performance, security, and cost-efficiency., • Design and maintain microservices architectures using AWS-native services., • Deploy and manage containerized applications using Docker and Kubernetes., • Architect solutions to ensure scalability, high availability, and operational excellence on AWS., • Collaborate with engineering, security, and business teams to integrate AWS solutions with broader enterprise applications. Qualifications: • AWS Services: Strong hands-on experience with Glue, Lambda, EventBridge, API Gateway, IAM, Redshift, CloudFormation, and S3., • Infrastructure as Code: Skilled in using Terraform and CloudFormation to automate AWS infrastructure., • Python Development: Solid experience in building and automating solutions using Python., • CI/CD and GitLab: Proficient in managing GitLab repositories and setting up automated pipelines., • Containers & Orchestration: Hands-on experience deploying and managing containers with Docker and Kubernetes., • Automation & DevOps: Strong ability to automate infrastructure, deployments, and testing using AWS and third-party tools., • Security Best Practices: Good understanding of AWS security standards, IAM management, and role-based access controls. Pay range and compensation package: [Include pay range or salary or compensation details here] Equal Opportunity Statement: [Include a statement on commitment to diversity and inclusivity here]

We are At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 14,500+, and has 58 offices in 21 countries within key global markets. Our challenge We are seeking a highly skilled SRE/Observability & Monitoring/DevOps Architect to lead the design, implementation, and management of our scalable, reliable, and secure cloud infrastructure. The ideal candidate will have deep expertise in Site Reliability Engineering (SRE), DevOps best practices, automation, and cloud technologies to ensure the availability, performance, and efficiency of our systems and services. Additional Information* The base salary for this position will vary based on geography and other factors. In accordance with law, the base salary for this role if filled within Dallas, TX or Pittsburgh, PA. is $130k - $135k/year & benefits (see below). The Role Responsibilities: Observability & Monitoring • Implement and enhance proactive observability frameworks to anticipate and mitigate issues before they occur., • Optimize experience monitoring and user interaction metrics across applications and services., • Manage and improve the event catalog, ensuring all system events are structured and actionable., • Build and maintain dashboards, alerts, and health reporting using tools like Dynatrace, BigPanda, MonPro, and LogScale., • Perform service tuning to improve system performance based on real-time metrics and data analysis., • Establish and maintain observability standards and best practices across teams., • Conduct chaos testing and resilience validation to ensure high system availability., • Ensure platform stability, performance, and reliability through proven reliability engineering principles., • Drive SRE initiatives, including continuous improvement projects within the Site Reliability Center., • Develop, maintain, and scale automated orchestration pipelines to streamline operations and improve efficiency., • Create, maintain, and enforce SRE standards, including SLIs, SLOs, and operational playbooks., • Own the problem management lifecycle—identifying, tracking, and resolving underlying issues to prevent recurring incidents., • Collaborate with cross-functional teams to address systemic issues and drive operational resilience. Requirements: • 7+ years of experience in SRE, DevOps, or Infrastructure Engineering roles., • Hands-on expertise with observability/monitoring tools such as:, • Dynatrace (APM, RUM, dashboards, alerting), • BigPanda (event correlation, incident response), • LogScale / MonPro / LogicMonitor or similar log and metrics platforms, • Solid experience with cloud platforms (AWS, Azure, or GCP)., • Strong proficiency in automation & orchestration (Terraform, Ansible, Jenkins, GitHub Actions, etc.)., • Proven track record in incident management, RCA, and implementing reliable SRE practices., • Experience with CI/CD pipelines, infrastructure as code, and configuration management., • Deep understanding of Linux systems, networking fundamentals, and distributed system design., • Strong scripting abilities (Python, Bash, PowerShell, or equivalent)., • Experience leading SRE or DevOps teams., • Knowledge of chaos engineering, advanced anomaly detection, and proactive alerting strategies., • Experience implementing SLI/SLO frameworks and performance optimization programs., • Familiarity with containerization (Docker, Kubernetes) and service meshes. We offer: • A highly competitive compensation and benefits package., • A multinational organization with 58 offices in 21 countries and the possibility to work abroad., • 10 days of paid annual leave (plus sick leave and national holidays)., • Maternity & paternity leave plans., • A comprehensive insurance plan including medical, dental, vision, life insurance, and long-/short-term disability (plans vary by region)., • Retirement savings plans., • A higher education certification policy., • Commuter benefits (varies by region)., • Extensive training opportunities, focused on skills, substantive knowledge, and personal development., • On-demand Udemy for Business for all Synechron employees with free access to more than 5000 curated courses., • Coaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groups., • Cutting edge projects at the world’s leading tier-one banks, financial institutions and insurance firms., • A flat and approachable organization., • A truly diverse, fun-loving, and global work culture. S YNECHRON’S DIVERSITY & INCLUSION STATEMENT Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more. All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.

Omega Holdings is a private equity-owned leading distributor of air conditioning and other high demand aftermarket components to a broad range of light-duty and heavy-duty vehicle end markets. Omega has created a unique, market leading platform in the automotive aftermarket with numerous opportunities to apply its repeatable playbook to grow both organically and through acquisition. With our product portfolio, dedication to quality, entrepreneurial setting, and competitive strength, we are a great place to build a lasting career. Position Summary: Reporting to the VP of IT, the Director of IT will provide strategic and operational leadership for the IT function, while actively contributing to web application development and IT operations. This position is hands-on and requires deep technical expertise in the LAMP stack with Laravel, strong database administration skills, and proven leadership experience. The individual will collaborate across divisions to deliver scalable and secure technology solutions that align with corporate objectives. Desired Professional Skills and Experience: • Minimum of 12 years of hands-on IT experience, with a strong background in web application development., • Advanced expertise with the LAMP stack (Linux, Apache, MySQL, PHP) and Laravel., • Strong proficiency in database design, optimization, and administration., • Proficiency in scripting (Bash, Shell); Python experience is a plus but not required., • Experience with AWS or other cloud platforms is preferred but not required., • Experience with ERP (NAV or Business Central) is preferred., • Proven leadership and project management experience, including the ability to manage complex projects from planning through execution., • Demonstrated ability to lead teams effectively, including providing front-line support for off-hour deployments and system maintenance., • Strong complex problem solving and troubleshooting skills., • Excellent written and oral communication skills. Responsibilities: • Provide strategic and operational leadership for the IT function., • Lead the design, architecture, and maintenance of enterprise web applications using the LAMP stack., • Oversee database administration, optimization, and performance tuning., • Actively contributes to development efforts, including coding, scripting, and troubleshooting., • Enforce IT policies, standards, and best practices., • Partner with stakeholders to define business requirements and deliver technology solutions., • Drive automation and efficiency through scripting and process improvements., • Lead teams in delivering complex projects on time and within scope., • Provide leadership and support during off-hour deployments, upgrades, and maintenance windows., • Evaluate and implement emerging technologies to support business growth. Education and Experience Requirements: • Bachelor’s or Master’s degree in Computer Science, Information Systems, or related field, or equivalent professional experience., • A minimum of 12 years of progressive, hands-on IT and web development experience, including leadership responsibilities.

About Leon Capital Group, Direct Investments Leon Capital Group, Direct Investments, a subsidiary of Leon Capital Group, is building a next-generation healthcare platform focused on delivering better outcomes through technology, access, and intelligence. Rooted in Leon Capital Group’s multi-billion-dollar investment platform, Leon Capital Group, Direct Investments operates at the intersection of health & financial services, real estate, and technology — combining entrepreneurial speed with institutional discipline. Our mission: to leverage innovation, data, and product-driven marketing to improve long-term growth across the Leon ecosystem. Position Overview We’re seeking a Head of Growth Product & Audience Intelligence — a product and growth leader responsible for designing and delivering the next generation of audience targeting and marketing intelligence products through AI and other automation. This individual will bridge data science, AI/machine learning, and marketing strategy to build scalable systems that help Leon’s portfolio companies reach the right audience — ethically, effectively, and compliantly. The ideal candidate will bring a hybrid background at the intersection of product management, data science/ML enablement, and data-driven growth experimentation—equally fluent in building products, partnering with ML engineering, and driving measurable acquisition and retention outcomes. Key Responsibilities: 1. Product Ownership & Vision: • Define and own the roadmap for audience segmentation, targeting, and personalization across Leon Capital Group, Direct Investments' digital marketing channels (Meta, Google, TikTok, LinkedIn, etc.)., • Translate business and advertiser needs into productized targeting capabilities such as “in-market,” “behavioral intent,” “lookalike,” and exclusion logic features., • Create scalable audience frameworks that can extend across Leon’s other verticals (healthcare, real estate, financial services, and investment). 2. Data Science & Engineering Integration: • Manage relationships with third-party AI/ML partners (“engineering as a service”), such as ZS, ScienceSoft, Intellias, or Tredence, aligning external capabilities with LHP’s product roadmap., • Partner with internal and external data science teams to develop signal processing, model training, and audience performance frameworks., • Oversee the ingestion, cleaning, and governance of first- and third-party data used for audience intelligence. 3. Experimentation, Measurement & Optimization: • Design and evaluate large-scale A/B tests and experiments that quantify the causal impact of targeting changes on ROI, conversion, and patient acquisition., • Build and maintain attribution and lift measurement systems, integrating deterministic and probabilistic methods., • Collaborate with econometrics and analytics teams to validate impact and optimize audience precision. 4. Privacy, Compliance & Governance: • Lead a privacy-first approach to audience intelligence, balancing personalization with compliance (HIPAA, GDPR, post-IDFA, CCPA)., • Establish standards for data handling, consent, and anonymization., • Partner with compliance, legal, and marketing science leaders to embed ethical safeguards into all audience systems. 5. Collaboration & Enablement: • Work cross-functionally with Growth, Marketing Science, Analytics, and Engineering teams to operationalize targeting strategies., • Translate complex ML outputs into actionable frameworks and dashboards for marketing activation., • Enable performance marketers and brand teams to test, measure, and iterate audiences with agility and precision. Technical & Analytical Expertise: • Deep understanding of data taxonomy, signal engineering, and event-based tracking (pixels, SDKs, conversion events)., • Working knowledge of auction dynamics (bid, relevance, expected action rate) within major ad platforms., • Proficiency with SQL and Python (or R) for data extraction, modeling, and exploratory analysis., • Familiarity with machine learning libraries (TensorFlow, PyTorch, CausalML, DoWhy) and modern experimentation frameworks., • Experience with growth experimentation and analytics tools such as Amplitude, Optimizely, Looker, or equivalent., • Strong appreciation for privacy-first attribution and signal-loss mitigation in a post-cookie, post-IDFA landscape. Ideal Candidate Profile: • Have 7–10 years in roles such as Product Manager / Director of Audience Targeting, Ad Tech Product Leader, Growth Product Manager, or Marketing Science Lead., • Bring a proven track record in designing and optimizing targeting systems that drive measurable ROI., • Be equally comfortable partnering with ML engineers and communicating with business executives., • Have experience managing AI/ML “as a service” providers or leading internal data science teams., • Exhibit a privacy-first mindset with strong working knowledge of healthcare data governance., • Be a strategic systems thinker with a bias for action — able to translate abstract data science into scalable, monetizable products. Qualifications: • 7–10 years of experience in Product Management, Ad Tech, Marketing Science, or Data-Driven Growth roles., • Demonstrated success building cross-functional, data-powered growth systems., • Exceptional communication skills — able to distill complex analytics into executive-level strategy., • Comfortable operating in high-growth, entrepreneurial, and regulated environments. 12-Month Success Indicators: • Launch Leon Capital Group, Direct Investments' first scalable Audience Intelligence Platform, improving targeting efficiency and conversion lift., • Establish and operationalize partnerships with third-party ML / AI vendors (“engineering as a service”)., • Deliver unified dashboards and experimentation frameworks that quantify targeting impact across all active campaigns., • Achieve measurable cost-per-acquisition and conversion rate improvements within 12 months. Why Join Leon Capital Group, Direct Investments Leon Capital Group, Direct Investments, is looking to redefine how data and marketing serve service businesses— blending data science, human empathy, and trust to build durable, scalable systems. Backed by Leon Capital Group, Direct Investment’s patient capital and cross-industry platform, this role offers the chance to build something foundational: the intelligence layer that powers the next generation of healthcare marketing and audience systems. You’ll collaborate directly with visionary leaders across Leon Capital Group, working at the forefront of where health & financial services, data, and technology converge.

• Minimum 7 years of relevant work experience in data engineering, with at least 2 years in a data modeling., • Strong technical foundation in Python, SQL, and experience with cloud platforms (Azure,)., • Deep understanding of data engineering fundamentals, including database architecture and design, Extract, transform and load (ETL) processes, data lakes, data warehousing, and both batch and streaming technologies., • Experience with data orchestration tools (e.g., Airflow), data processing frameworks (e.g., Spark, Databricks), and data visualization tools (e.g., Tableau, Power BI)., • Proven ability to lead a team of engineers, fostering a collaborative and high-performing environment.

Python Backend Lead (RFID) – Hiring Now! Dallas, TX (Hybrid) | 6+ Months (Long Term Contract) USC and GC Only We’re seeking a Python Backend Lead with strong RFID expertise to support a major enterprise initiative. This role is ideal for engineers with deep RFID solution experience and strong backend development capabilities. Strict experience limits apply (7+ years required; max 15–18 years total). Job Summary Work on designing, integrating, and optimizing RFID-based backend systems using modern technologies and enterprise platforms. This position involves close collaboration with hardware, middleware, and enterprise applications. Must-Have (Non-Negotiable) Skills • 7+ years software development experience (max 15–18 years total), • 2+ years hands-on RFID solution design/implementation, • Strong knowledge of UHF (EPC Class 1 Gen 2 / RAIN), HF, NFC technologies, • Understanding of tag physics, antenna theory, RF propagation, • Hands-on experience with RFID hardware (Impinj, Zebra, SATO, Alien, etc.), • Strong backend development in Python (or C#/Java), • Experience integrating RFID hardware with WMS, ERP, MES, • Proficiency with REST APIs, vendor SDKs, MQTT/RabbitMQ, • Solid SQL & NoSQL database experience 📩 Interested? Apply now or DM us to explore this opportunity! You can share resumes at OR Call us on +1 (669) 260-9036

!!MUST BE ABLE TO GO ONSITE 3 DAYS A WEEK!! Job Description We are an innovative organization that invests in the spiritual, relational, financial, physical and professional development of our employees. We have a culture that values excellence, teamwork, humility, integrity, compassion and stewardship. What We Offer You! We offer employees a generous benefits package, flexible work schedules, the opportunity to be involved in community outreach and tuition reimbursement. Job Summary Our customer in the insurance space is seeking a visionary and hands-on Enterprise Data Architect to lead the design and evolution of our enterprise data estate. This role blends strategic leadership with deep technical expertise to enable secure, trustworthy, and well-modeled data for analytics and applications. As a faith-based, non-profit organization, they offer a mission-driven culture, strong work/life balance, and a collaborative environment where your work directly supports meaningful outcomes. This is a unique opportunity to shape data architecture across Azure platforms while mentoring teams and influencing enterprise-wide decisions. What You'll Do • Define and maintain reference architectures for batch, streaming, and real-time data across Azure Data Lakehouse, Microsoft Fabric, Synapse, and Databricks, • Drive convergence on data modeling approaches (dimensional, medallion and semantic) and sponsor canonical models and domain boundaries, • Design and prototype data pipelines, semantic layers, and medallion/lakehouse patterns using SQL, PySpark, and Azure tools, • Establish data governance standards including SLAs/SLOs, quality rules, lineage, and metadata management via Microsoft Purview, • Implement secure data platform practices: RBAC/ABAC, encryption, key management, and network isolation, • Lead architecture reviews, translate technical concepts for non-technical stakeholders, and align data strategy with business outcomes, • Mentor data engineers, analysts, and citizen developers; elevate engineering standards through enablement and playbooks Required Qualifications ? • Bachelor’s or Master’s in Computer Science, MIS, Engineering, or related field—or equivalent experience, • 10+ years in data/analytics, including 3–5+ years in architecture or lead roles, • Deep expertise in Azure data services: Microsoft Fabric, Synapse, Databricks, ADLS Gen2, • Advanced data modeling experience dimensional, medallion and semantic modeling for Power BI, • Strong proficiency in SQL and Python/PySpark; performance tuning for large-scale datasets, • Proven experience designing secure data platforms with privacy, retention, and access controls, • Hands-on experience with data governance tools and practices (Purview or equivalent), • Familiarity with CI/CD, DevOps for data (Azure DevOps/GitHub), and infrastructure-as-code (Bicep/Terraform), • Excellent communication and storytelling skills to bridge technical and business audiences, • Microsoft certifications (e.g., DP-203, DP-600, AZ-305), • Experience with event streaming (Event Hubs/Service Bus), MDM, and reference data solutions, • Exposure to legacy interoperability (.NET/C#, SSIS/SSRS, SSAS/Tabular) 6859

Job Description : We are looking for a highly experienced Senior Databricks Engineer with strong hands-on expertise in Python, SQL, Spark, and end-to-end data pipeline development. The candidate will design scalable ETL workflows, optimize big-data jobs, and work closely with data architects to build high-performance analytics solutions on Azure Databricks. Key Responsibilities: • Develop, optimize, and maintain Databricks notebooks using Python and SQL., • Build & enhance ETL/ELT pipelines using Spark and Delta Lake., • Implement data ingestion, transformation, and validation frameworks., • Optimize Spark jobs, cluster performance, and Delta Lake tables., • Work with Azure data ecosystem (ADF, ADLS, Synapse preferred)., • Collaborate with data architects, analysts, and business teams for scalable solutions., • Ensure best practices for version control, CI/CD, and job orchestration. Required Skills: • 12+ years of experience in data engineering., • Strong proficiency in Databricks, Python (PySpark), SQL, and Spark optimization., • Hands-on experience with Delta Lake, Unity Catalog, and Workspace management., • Experience integrating with Azure Data Factory / Airflow / other orchestration tools., • Strong knowledge of data modeling, performance tuning, and distributed computing., • Excellent problem-solving and communication skills.