Data Integration Engineer I
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Job Description
Data Integration Engineer building and operating healthcare data pipelines. Supporting SQL, Python, ETL/ELT, validation, and migration to modern platforms for analytics and AI.
Responsibilities:
- Monitor and support the daily operation of production data pipelines
- Troubleshoot pipeline failures and assist in resolving data processing issues, escalating complex problems when necessary
- Investigate and help resolve data quality issues, anomalies, and discrepancies within healthcare datasets
- Perform data validation and testing to ensure accuracy, completeness, and consistency of integrated data
- Analyze datasets to identify patterns, irregularities, and potential data issues
- Collaborate with implementation teams to understand client data formats and integration requirements
- Assist with data reconciliation and validation during client onboarding and integration processes
- Write and optimize SQL queries for data transformations, validation, and analysis
- Assist in developing, testing, and maintaining data integration pipelines
- Create and maintain documentation for data workflows, pipeline behavior, and operational procedures
- Participate in code reviews and incorporate feedback to improve code quality and development practices
- Work across the current and target data platform environments and contribute to the migration
Requirements:
- Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field, or equivalent practical experience
- Proficiency in SQL and experience working with relational databases, including writing queries for data analysis and transformation
- Experience with scripting or automation using Python or a comparable programming language to support data processing or integration tasks
- Familiarity with ETL/ELT concepts and data pipeline fundamentals, including data ingestion, transformation, and validation processes
- Strong analytical and problem-solving skills, with the ability to investigate data issues and identify root causes
- Strong written and verbal communication skills, with the ability to clearly explain technical concepts to both technical and non-technical stakeholders
- Experience working with healthcare data, including Medicare, Medicaid, or medical claims datasets
- Familiarity with common healthcare code sets, such as ICD, CPT, or HCPCS
- Exposure to modern data platforms and tools, such as Snowflake, Apache Airflow, or cloud-based data environments
- Familiarity with CI/CD practices or tools, such as Jenkins or GitHub Actions
- Understanding of data warehousing concepts, including dimensional modeling and analytics-oriented data structures
Benefits:
- Remote-friendly environment
- Opportunities for professional growth and skill development
- Comprehensive healthcare coverage
- Meaningful work with direct impact on healthcare outcomes
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