Senior Data Engineer
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Job Description
Senior Data Engineer responsible for designing and maintaining data pipelines. Working at Care Access, which focuses on improving health services access.
Responsibilities:
- 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.
- 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.
- 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.
- 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.
- Proactively suggest improvements to infrastructure, processes, and automation to improve system efficiency, reduce costs, and enhance performance.
Requirements:
- 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.
- 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.
- Bachelor’s or master’s degree in computer science, Information Systems, Engineering, or a related field.
- 5+ years of experience in data engineering with a proven track record of building cloud-based, production-grade data pipelines.
Benefits:
- 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
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