Senior Data Engineer

How This Role Makes a Difference

The Senior Data Engineer is responsible for designing, developing, implementing, and maintaining scalable data pipelines and enterprise data solutions that support the organization's operational, analytical, and reporting needs. This position oversees the ingestion, transformation, integration, and delivery of complex data from multiple sources to ensure the availability, reliability, and integrity of enterprise data assets. The Senior Data Engineer collaborates with cross-functional stakeholders to develop modern data architectures, optimize data processing workflows, and enhance platform performance using industry best practices and cloud-based technologies. This role provides technical leadership in advancing the organization's data infrastructure, supporting data governance initiatives, and delivering high-quality data solutions that enable informed business decision-making.

How You'll Make An Impact

Data Engineering Strategy and Architecture:

Design and implement scalable, reliable, and efficient data pipelines to support clinical, operational, and business needs.

Develop and maintain architecture standards, reusable frameworks, and best practices across data engineering workflows.

Build automated systems for data ingestion, transformation, and orchestration leveraging cloud-native and open-source tools.

Data Infrastructure and Performance Optimization:

Optimize data storage and processing in data lakes and cloud data warehouses (Azure, Databricks).

Develop and monitor batch and streaming data processes to ensure data accuracy, consistency, and timeliness.

Maintain documentation and lineage tracking across datasets and pipelines to support transparency and governance.

Collaboration and Stakeholder Engagement:

Work cross-functionally with analysts, data scientists, software engineers, and business stakeholders to understand data requirements and deliver fit-for-purpose data solutions.

Review and refine work completed by other team members, ensuring quality and performance standards are met.

Provide technical mentorship to junior team members and collaborate with contractors and third-party vendors to extend engineering capacity.

Technology and Tools:

Use Databricks, DBT, Azure Data Factory, and SQL to architect and deploy robust data engineering solutions.

Integrate APIs, structured/unstructured data sources, and third-party systems into centralized data platforms.

Evaluate and implement new technologies to enhance the scalability, observability, and automation of data operations.

Continuous Improvement:

Proactively suggest improvements to infrastructure, processes, and automation to improve system efficiency, reduce costs, and enhance performance.

The Expertise Required

Familiarity with CI/CD pipelines, orchestration tools (e.g., Airflow, Azure Data Factory), and modern software engineering practices.

Strong analytical and problem-solving skills, with the ability to address complex data challenges and drive toward scalable solutions.

Certifications/Licenses, Education, and Experience

Minimum Education:

Bachelor’s or master’s degree in computer science, Information Systems, Engineering, or a related field.

Minimum Experience:

5+ years of experience in data engineering with a proven track record of building cloud-based, production-grade data pipelines.

Strong expertise in Databricks, SQL, dbt, Python, and cloud data ecosystems such as Azure.

Experience working with structured and semi-structured data from diverse domains.

How We Work Together

Location: Remote within the United States. This role requires 100% of work to be performed in a remote office environment.

Travel: This is a remote position with less than 10% travel requirements. Occasional planned travel may be required as part of the role.

Physical demands associated with this position Include: The ability to use keyboards and other computer equipment.

The expected pay range for this role is $120,000 - $160,000 USD per year for full time team members.

Benefits & Perks (US Full Time Employees)

Paid Time Off (PTO) and Company Paid Holidays

100% Employer paid medical, dental, and vision insurance plan options

Health Savings Account and Flexible Spending Accounts

Bi-weekly HSA employer contribution

Company paid Short-Term Disability and Long-Term Disability

401(k) Retirement Plan, with Company Match

Mandatory Employer Disclosures

Notice to Illinois applicants: Applicants are not obligated to disclose expunged juvenile records or adjudication, arrest, or conviction.

Notice to Connecticut applicants: Care Access may require applicants to submit to a urinalysis drug test in connection with an application for employment.

Notice to Arizona, Georgia, Indiana, and North Dakota applicants: Care Access complies with applicable laws prohibiting smoking in and around places of employment.

Notice to Massachusetts applicants: It is unlawful in Massachusetts 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.

Notice to Rhode Island applicants: Care Access complies with Rhode Island law prohibiting smoking in enclosed areas within places of employment. Care Access is also subject to is subject to Chapters 29–38 of Title 28 of the Rhode Island General Laws.

Notice to Maryland applicants: UNDER MARYLAND LAW, AN EMPLOYER MAY NOT REQUIRE OR DEMAND, AS A CONDITION OF EMPLOYMENT, PROSPECTIVE EMPLOYMENT, OR CONTINUED EMPLOYMENT, THAT AN INDIVIDUAL SUBMIT TO OR TAKE A LIE DETECTOR OR SIMILAR TEST. AN EMPLOYER WHO VIOLATES THIS LAW IS GUILTY OF A MISDEMEANOR AND SUBJECT TO A FINE NOT EXCEEDING $100.

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