What are the responsibilities and job description for the Data Engineer position at Trissential?
Location: Remote within USA
Employment Type: Full-time
Build the Data Foundations Powering the Future of Healthcare
Are you a Data Engineer who thrives on turning complex, disconnected data into reliable, scalable solutions? Trissential is hiring a Data Engineer to join our client’s Next Gen Data Architecture team within a world‑class healthcare and research environment. This is a high‑impact opportunity where your work directly supports analytics, reporting, and data‑driven decision‑making across the organization.
If you enjoy building robust data pipelines, improving data quality, and collaborating across engineering, analytics, and governance teams—this role was built for you.
What’s in It for You?
At Trissential, we believe in rewarding expertise while giving you flexibility and support throughout your engagement.
Ready to Make an Impact with Your Data Engineering Expertise?
If you’re excited about building scalable, trusted data solutions that support real‑world healthcare outcomes, we’d love to hear from you. Apply today and take the next step in your data engineering career with Trissential.
Employment Type: Full-time
Build the Data Foundations Powering the Future of Healthcare
Are you a Data Engineer who thrives on turning complex, disconnected data into reliable, scalable solutions? Trissential is hiring a Data Engineer to join our client’s Next Gen Data Architecture team within a world‑class healthcare and research environment. This is a high‑impact opportunity where your work directly supports analytics, reporting, and data‑driven decision‑making across the organization.
If you enjoy building robust data pipelines, improving data quality, and collaborating across engineering, analytics, and governance teams—this role was built for you.
What’s in It for You?
- Meaningful Impact – Support healthcare research and innovation by delivering trusted, high‑quality data
- Technical Depth – Work hands‑on with modern data architectures, ETL pipelines, and large‑scale datasets
- Cross‑Functional Collaboration – Partner with data scientists, BI developers, software engineers, and governance teams
- Stability with Growth – Long‑term contract with exposure to enterprise‑scale data platforms and best practices
- Assemble large, complex datasets that meet functional and non‑functional business requirements
- Design, build, and optimize scalable data pipelines for ingestion, transformation, and delivery
- Write, troubleshoot, and optimize complex SQL queries across multiple joins and data sources
- Perform deep data analysis and investigations to explain results and provide actionable recommendations
- Apply strong data modeling principles to support analytics and reporting use cases
- Implement and support ETL/ELT processes, including validation and data quality checks
- Monitor, profile, and improve data quality through periodic reviews and root‑cause analysis
- Track and document data lineage to ensure traceability and transparency
- Collaborate with BI, analytics, and governance teams to ensure consistent, trusted data delivery
- Identify opportunities to enhance existing data solutions and recommend improvements
- Research new data sources and contribute to ongoing data quality and governance initiatives
- 3–5 years of hands‑on experience in data engineering or related roles
- Strong proficiency in SQL, including complex joins, unions, and performance tuning
- Strong proficiency in Python for data transformation and pipeline development
- Experience building and maintaining scalable ETL/ELT pipelines
- Solid understanding of data transformations (cleaning, shaping, aggregating, preparing data)
- Experience working with large, disconnected datasets
- Strong analytical and problem‑solving skills with a focus on data accuracy and reliability
- Ability to manage multiple priorities and contribute to concurrent projects
- Experience with Delta Lake or modern data storage formats
- Familiarity with Medallion Architecture (Bronze / Silver / Gold layers)
- Experience supporting reporting and analytics (Power BI preferred)
- Exposure to Microsoft Fabric
- Experience with data catalog or lineage tools (Purview or similar)
- Familiarity with CI/CD pipelines (Azure DevOps, Git)
- Basic exposure to streaming or real‑time data ingestion Understanding of data security concepts and role‑based access control (RBAC)
- Bachelor’s degree in Computer Science or Engineering from an accredited institution OR
- Associate’s degree in Computer Science or Engineering with at least 2 years of relevant experience
At Trissential, we believe in rewarding expertise while giving you flexibility and support throughout your engagement.
- Competitive Compensation –$53–$63 per hour. Final compensation is determined based on skill alignment, years of experience, and fair, market‑based rates by geography.
- Comprehensive Benefits for you and your dependents – Medical, dental, vision, free tele‑health, HSA with company contribution, life and disability insurance, and 401k with matching
- Paid Time Off – Offers paid time away from work
- Career Exposure – Gain experience within a highly respected healthcare and research organization
- Supportive Team Environment – Work alongside experienced data, analytics, and engineering professionals
Ready to Make an Impact with Your Data Engineering Expertise?
If you’re excited about building scalable, trusted data solutions that support real‑world healthcare outcomes, we’d love to hear from you. Apply today and take the next step in your data engineering career with Trissential.
Salary : $53 - $63