InStride Health
Healthcare
DataEngineerII
“Data Engineer II at InStride Health. Skills: Data pipelines, Data warehouse, Python, SQL. Design, develop, and maintain robust, scalable ETL/ELT data pipelines. Implement data quality checks, monitoring, and alerting”
What You'll Achieve.
Ensure high-quality, trusted data reaches every corner of the business; Ensure data integrity and reliability
Industry & Context.
Troubleshoot and resolve complex production data issues with urgency and root-cause rigor; Making sound tradeoffs
Periodic in-person retreats
What They're Looking For.
Must Have
3+ years of experience designing, developing, and deploying data pipelines and data warehouse solutions in production environments, proficiency in SQL and Python for data engineering and transformation work, Hands-on experience with cloud data warehouses (Amazon Redshift Snowflake or BigQuery also valued) and familiarity with ETL/ELT tools such as dbt, Matillion, or similar, Working knowledge of AWS services relevant to data engineering (e. g. , S3, Glue, Lambda, Redshift), Demonstrated understanding of HIPAA compliance requirements and experience working with sensitive or regulated data, Ability to design and build data systems that are scalable, observable, and built to handle growth in data volume and complexity, understanding of data integration patterns, including APIs, webhooks, and batch ingestion techniques, Experience giving and receiving structured feedback through pull request reviews and technical discussions, communication skills, with the ability to translate complex technical concepts for both technical and non-technical stakeholders, Comfortable operating in a fast-paced startup environment, balancing competing priorities and making sound tradeoffs
Nice to Have
Experience working with healthcare data is a plus
What You'll Do.
scalable ETL/ELT data pipelines
Implement data quality checks
Optimize existing pipelines for performance
Contribute to the design and maintenance of data warehouse and data lake solutions
and proper handling of PHI
Work closely with data analysts
Troubleshoot and resolve complex production data issues
Develop and maintain clear documentation for data models
Participate in code reviews and contribute to technical discussions
Stay current on emerging data technologies and tools
How You'll Work.
Team & Collaboration
Partner closely with analytics and business intelligence teams; Work closely with data analysts, data scientists, and business intelligence engineers; Participate in code reviews and contribute to technical discussions; Experience giving and receiving structured feedback through pull request reviews
Communication Scope
Ability to translate complex technical concepts for both technical and non-technical stakeholders
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