Sr Data Engineer

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., * 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, * 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., Role Overview As an AI Engineer, you will play a pivotal role in shaping the future of AI systems by applying your domain expertise to train next-generation models. Your contribu…

• 8 days ago

Work Authorization: Must be legally authorized to work in the United States on a permanent basis, * 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
• Bachelor's 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 at our company. 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.

• $20.00-45.00 per hour

At Kopius, we're passionate about technology and driven by our partners' potential to make a difference in the world. Our expert teams in digital strategy, design, and engineering are dedicated to solving complex problems and exploring new frontiers. With over 40 active projects and 500+ talented professionals across USA, LATAM, and Europe, we're committed to creatively tackling big challenges and helping our customers stay ahead in a rapidly evolving digital landscape. Join us on this exciting journey of innovation and growth!