Role Description Trinetix is looking for a skilled SQL Senior / Data Engineer + Power BI (L2). Join our team at Trinetix and collaborate on a project with a leading transportation and logistics company in North America, operating a large-scale fleet and relying on complex data platforms and real-time analytics. In this role, you will contribute to maintaining and improving critical data infrastructure by ensuring stability, reliability, and performance of data pipelines and reporting systems. You will work with cloud data platforms, ETL/ELT pipelines, and BI tools, supporting business operations through efficient troubleshooting, monitoring, and data processing. The SQL Senior / Data Engineer owns the data and analytics support queue and is responsible for monitoring, troubleshooting, and resolving failures across cloud data platforms, ETL/ELT pipelines, and Power BI reporting. The role also includes handling SQL-level data fixes and record corrections escalated from application support queues. Note: Minimum 5 years of relevant experience is required per contractual staffing requirements. Responsibilities - Own the data and analytics support queue: pipeline failures, ETL/ELT errors, Power BI dashboard issues - Monitor and remediate data pipelines across Azure and AWS environments - Write and execute SQL scripts for data fixes, record corrections, and diagnostic queries - Support Snowflake and Databricks: query optimization, job failure diagnosis, cluster management - Maintain CI/CD pipelines supporting data operations (Tier 1 monitoring, Tier 2 remediation) - Handle SQL-heavy overflow tickets from application support queues (HUB-Report, data corrections) - Coordinate with client data team on schema changes, pipeline updates, and capacity planning - Perform minor data platform enhancements as assigned (up to 80 engineering hours) - Support vehicle telematics data infrastructure and related ingestion pipelines Qualifications - 5+ years in data engineering or data platform support (mandatory) - Hands-on experience with at least 3 of: Azure, AWS, Snowflake, Databricks - Production pipeline support experience is strongly preferred Required Technical Skills - Cloud & Data Platforms: Azure: Data Factory, Azure SQL, Synapse Analytics — 5+ years required; AWS: S3, RDS, Glue — data pipeline and infrastructure support - Data Engineering & Pipelines: Snowflake: query writing, data loading, performance troubleshooting, Snowpipe; Databricks: notebook execution, cluster management, job failure diagnosis, Delta Lake basics; Pipeline tools: Apache Airflow or Azure Data Factory — DAG/pipeline monitoring and repair - BI & Reporting: Power BI: dashboard connectivity, data source troubleshooting, refresh failures, DAX basics - Programming & Tools: SQL: advanced — complex queries, stored procedures, performance tuning across SQL Server and cloud DBs; Python: scripting for data transformation, automation, and diagnostic tasks; Version control: GitLab — CI/CD pipeline basics for data workflows Language Requirements - English - required (all tickets, escalations, client communication) On-Call Requirements - On-call rotation - data incidents - Covers P1/P2 data pipeline and platform failures outside business hours - Shared rotation between Ukraine and Argentina Data Engineers (approx. every other week per person) - Activation required when critical pipeline failures impact business operations or reporting - Response expected within 1 hour of activation - On-call compensation applies per company policy Company Description Established in 2011, Trinetix is a dynamic tech service provider supporting enterprise clients around the world. Headquartered in Nashville, Tennessee, we have a global team of over 1,000 professionals and delivery centers across Europe, the United States, and Argentina. We partner with leading global brands, delivering innovative digital solutions across Fintech, Professional Services, Logistics, Healthcare, and Agriculture. Our operations are driven by a strong business vision, a people-first culture, and a commitment to responsible growth. We actively give back to the community through various CSR activities and adhere to international principles for sustainable development and business ethics.

• Design, implement, and maintain robust, scalable data pipelines to support AI, analytics, and operational reporting • Own and evolve the data warehouse architecture, ensuring it meets performance, flexibility, and governance needs • Work closely with AI Engineers and BI Engineers to enable advanced modelling, data exploration, and dashboard reliability • Ensure data integrity, availability, lineage, and observability across complex pipelines • Define and enforce best practices in data modelling, pipeline orchestration, and data infrastructure reliability • Champion the use of Infrastructure as Code and automation in managing data services • Proactively address scaling bottlenecks, performance issues, and architectural challenges • Leverage AI tools to accelerate data engineering work — and act as the quality gate on AI-generated pipeline code • Mentor junior Data Engineers and contribute to team knowledge sharing

Lead projects for design, development and maintenance of a data and analytics platform. Effectively and efficiently process, store and make data available to analysts and other consumers. Work with key business stakeholders, IT expects and subject-matter experts to plan, design and deliver optimal analytics and data science solutions. Design and automate deployment of our distributed system for ingesting and transforming data from various types of sources. Design and implement framework to continuously monitor and troubleshoot data quality and data integrity issues. Implement data governance processes and methods for managing metadata, access, retention to data for internal and external users. Design and provide guidance on building reliability, efficient, scalable and quality data pipelines with monitoring and alter mechanisms that combine a variety of sources using ETL/ELT tools or scripting languages. Design and implement physical data models to define the database structure, optimizing database performance through efficient indexing and table relationships. Participate in optimizing, testing, and troubleshooting of data pipelines. Design, develop and operate large scale data storage and processing solutions using different distributed and cloud-based platforms for storing data. Use innovative and modern tools, techniques and architectures to partially or completely automate the most common, repeatable and tedious data preparation and integration tasks in order to minimize manual and error-prone processes and improve productivity. Assist with renovating the data management infrastructure to drive automation in data integration and management. Ensure the timeliness and success of critical analytics initiatives by using agile development technologies sch as DevOps, Scrum and Kanban. Identify, understand and correct flaws in data that supports effective information governance across operational business processes and decision making. Validate a configuration item change or solution using the Function’s defined best practices, including the Systems Development Life Cycle (SDLC) standards, tools and metrics, to ensure that it works as designed and meets customer requirements. Apply the science of measurement to assess whether a solution meets its intended outcomes using the IT Operating Model (ITOM) to deliver a quality product. Document information and solution based on knowledge gained as part of product development activities. Perform data extract-transform-load (ETL) activities from a variety of sources and transform them for consumption by various downstream applications and users using appropriate tools and technologies. Cummins is an equal opportunity employer. Our policy is to provide equal employment opportunities to all qualified persons without regard to race, sex, color, disability, national origin, age, religion, union affiliation, sexual orientation, veteran status, citizenship, gender identity, or other status protected by law.

Data Engineer Anywhere Type: Contract Category: Engineer Industry: Life Sciences Workplace Type: Remote Reference ID: JN -042026-106348 Description: Our client seeks a Data Engineer to support clinical trial data operations over a 12+ month contract. The role will program SAS edit checks and macros, build and optimize ETL/ELT pipelines, and ensure data quality across structured and unstructured sources. The position will collaborate with clinical, biostatistics, regulatory, and R&D stakeholders to support analytics and AI/ML model pipelines. Work will be remote on PST hours with a collaborative team across experience levels. Due to client requirements, applicants must be willing and able to work on a w2 basis. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance. Rate: $60.00 to $70.00/hr. w2 Responsibilities: - Develop study specific annotated CRFs, database documentation, edit check specifications, data handling conventions, and data entry instructions. - Program SAS edit checks and SAS macros for clinical trials, including ETL processes, data validations, statistical analyses, and report generation. - Design and develop robust ETL/ELT pipelines for structured and unstructured data. - Apply hands-on database administration skills to identify root causes and resolve issues with structured and unstructured data sources. - Conduct data automation tasks, including software development, testing, and validation. - Leverage familiarity with Power BI, R, Python, HTML, JavaScript, and REST APIs for data downloading. - Collaborate with biostatistics, data scientists, analysts, and stakeholders to support AI/ML model development and deployment. - Build and optimize data systems for performance, scalability, and reliability while ensuring data quality, integrity, and security. - Apply knowledge of the software development life cycle to code, design, and maintain documentation for data architecture, processes, and workflows. - Implement and manage REST API connections. Experience Requirements: - 2+ years with clinical data management documentation, CRF development, EDC building, and data quality checks. - 2+ years building and optimizing ETL/ELT pipelines for structured and unstructured data. - 2+ years programming SAS edit checks and SAS macros for clinical trials. - Experience with data automation, software development, testing, and validation. - Hands-on database administration experience troubleshooting data issues. - Power BI, Python, or RShiny experience (preferred). - Advanced SQL and experience with relational databases and query authoring (preferred). - Exposure to AI/ML concepts and experience supporting model pipelines (preferred). - Experience with REST API integrations. - Working knowledge of manipulating, processing, and extracting value from large datasets. Education Requirements: - Bachelor’s degree required. - Advanced degree preferred. - Desired fields: Computer Science, Data Science, Statistics, Informatics, Information Systems, or related quantitative field. Recruitment Transparency Notice Eliassen Group values transparency in our recruitment practices. Please be advised that Eliassen Group utilizes artificial intelligence (AI) tools as part of its initial application screening and hiring process. You may receive email and SMS notifications from the Eliassen Virtual Recruiting Team (noreply@eliassen.com, 781-808-2924) inviting you to complete a brief voice screening as part of your application process. These tools assist our hiring teams in different ways, including but not limited to, assistance in reviewing application materials to help identify candidates whose qualifications most closely match the requirements of the position. All AI-assisted evaluations and responses are reviewed by human recruiters before any hiring decisions are made. The use of AI in our process is intended to support fairness, efficiency, and consistency, and Eliassen Group takes measures to prevent bias or discrimination in connection with its hiring practices. By proceeding, you acknowledge, agree, and consent to Eliassen Group’s use of these tools, including AI tools, as part of the application and hiring process. Skills, experience, and other compensable factors will be considered when determining pay rate. The pay range provided in this posting reflects a W2 hourly rate; other employment options may be available that may result in pay outside of the provided range. W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality. If anyone reaches out to you about an open position connected with Eliassen Group, please ensure that you are working directly with us by confirming the following: · When you work with Eliassen Group, all email communication will come from an Eliassen.com address, never Gmail, Yahoo, etc. · Eliassen Group will never ask you for personal information (home address, bank account, or check routing number) until you have worked with someone clearly associated with Eliassen Group. About Eliassen Group: Eliassen Group is a strategic consulting firm that helps organizations reach further and achieve more through our technology, business advisory, and life sciences solutions. For nearly 40 years, we have combined exceptional people, deep domain expertise, and intelligent capabilities to expand our clients’ capacity and accelerate meaningful outcomes. We are driven by a purpose to positively impact the lives of our employees, clients, consultants, and the communities we serve. Eliassen is committed to building a diverse and inclusive team from a variety of backgrounds, perspectives, and skills. We are an Equal Opportunity and Affirmative Action Employer and all employment decisions are based on merit, performance, and business needs. Eliassen does not discriminate on the basis of race, color, gender identity or expression, sexual preference or orientation, sex (including pregnancy, childbirth, and related medical conditions), marital status, creed, religion, physical or mental disability, genetic information, military or veteran status, age, ancestry, national origin, citizenship status, prohibited criminal record inquiries of applicants and employees, or any other category protected by federal, state, or local laws. Don’t miss out on our referral program! If we hire a candidate that you refer us to then you can be eligible for a $1,000 referral check! Eliassen Group is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status. Eliassen Group’s Affirmative Action Plan (AAP) is available for inspection by any employee or applicant for employment upon request, during normal business hours of Monday through Friday, 8:30am to 5:30pm EST. Interested persons for assistance. It is unlawful in Massachusetts and Maryland to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. This email inbox is designed exclusively to assist job seekers whose disability prevents them from being able to apply online. Emails sent for other purposes will not receive a response.