Sr Data Engineer

Overview Kopius is seeking a Senior Data Engineer to join our team supporting a leading healthcare services organization. This role focuses on building and maintaining data pipelines and platforms on Azure that support an application rewrite and feed the team's new AI initiatives, with strong attention to quality, security, and governance of sensitive data. This is a senior, hands-on engineering role for someone with deep experience across the Azure data stack, comfortable designing scalable ETL/ELT pipelines, modeling data for both analytics and AI workloads, and partnering closely with full-stack and AI engineers to bring intelligent capabilities to production. The ideal candidate operates independently, brings strong engineering judgment, and contributes proactively to the team's broader data and AI direction. Responsibilities Design, build, and maintain ETL / ELT pipelines on the Azure data stack Develop and orchestrate data workflows in Azure Data Factory and Databricks Model, structure, and optimize data in Synapse and Azure Data Lake Ensure data quality, security, and governance for sensitive membership and contract data in a healthcare environment Prepare data for AI/ML workloads — including feature and embedding pipelines Collaborate closely with full-stack and AI engineers to bring intelligent capabilities to production Participate in code reviews, design reviews, and architectural discussions Champion engineering best practices and data governance standards across the team Troubleshoot and resolve production issues, contributing to root cause analysis and long-term reliability improvements Qualifications Strong written and verbal communication skills, with the ability to collaborate effectively across distributed teams Self-motivated, quick learner, and adaptable to new technologies and legacy systems Thrives in a team environment, actively contributes to collaboration, fostering a sense of community Excellent problem-solving and analytical skills, with a keen eye for detail and a proactive approach to issue resolution Brings ideas proactively — not just a ticket executor, but a contributor to the broader technical direction and AI initiatives of the team Strong sense of accountability and ownership over deliverables and outcomes Comfort operating in healthcare or other regulated data environments where security, compliance, and governance matter Self-directed operator — able to hit the ground running with minimal ramp Technical Requirements Senior-level Azure data engineering experience across Azure Data Factory , Databricks , Synapse Analytics , and Azure Data Lake (ADLS Gen2) Strong SQL and Python (Spark) skills Hands-on experience designing and implementing ETL / ELT pipelines and data models Experience with streaming / ingestion technologies (Event Hubs, Kafka , or similar) Proficiency with Git and Azure DevOps workflows Understanding of data governance, security, and lineage practices in regulated environments Experience preparing data for AI/ML workloads — feature pipelines, embeddings, vector data Bachelor8s degree in Computer Science, Information Systems, Engineering, or a related field (or equivalent professional experience) Nice to have: Hands-on experience with Microsoft Fabric Nice to have: Familiarity with Power BI or other BI tooling Nice to have: Experience with dbt or modern data transformation frameworks Nice to have: Experience in healthcare, life sciences, or other regulated industries Things to keep in mind Compensation: $12,500 -- $15,800 / month (W2). Individual pay within the posted range is determined by multiple factors, including job-related knowledge, skills, experience, and relevant education or training. Contract duration: This is a W2 engagement with an initial 6-month term and strong likelihood of extension based on performance and project needs. Location: Hybrid schedule at our client's Dallas, TX office (Tuesday through Thursday onsite) is preferred. Remote candidates within the United States will also be considered. Work Authorization: Applicants must be legally authorized to work in the United States on a permanent basis without requiring sponsorship, transfer, or extension of work authorization now or in the future. Equal Opportunity: We are an equal opportunity employer and value diversity and inclusion. We do not discriminate on the basis of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, marital status, veteran status, or any other protected characteristic under federal, state, or local law. About You Community and Connection: Foster team connection; contribute to a collaborative environment. Exceptional Experiences: Strive for outstanding communication experiences; align actions with delivering excellence. Embrace New Ideas: Demonstrate openness to innovation; adapt and learn quickly. Ownership Mentality: Take responsibility and ownership of tasks and projects; drive issues to resolution. Walk the Talk: Consistently align actions, communication, and problem-solving with company values. About Kopius At Kopius, we value technology and partner potential to make a difference. Our teams in digital strategy, design, and engineering solve complex problems across 40+ active projects with 500+ professionals globally, driving innovation and growth. Join us on this exciting journey. #J-18808-Ljbffr