Education & Experience:
- Bachelor's degree in computer science, information systems, or a related field, or equivalent experience
- 3+ years in data engineering or analytics engineering, ideally within TPA, healthcare, insurance, or claims processing
- 1+ years in system/data analysis or process improvement
- 1+ years in the healthcare industry preferred
- AWS Certification preferred: AWS Certified Cloud Practitioner, Developer – Associate, or Data Engineer – Associate
Technical Skills:
- Proficient in Python and SQL, including complex queries (pivots, window functions, date calculations)
- Hands-on experience with orchestration tools (Airflow), containers (Docker), and CI/CD pipelines
- Exposure to healthcare EDI transactions (834, 835, 837, 2222, 2223, 999) preferred
- Exposure to data files like OMS or HL7, or ability to parse delimited files into a database using Python scripting
- Familiarity with REST APIs, JSON, and non-relational data models, including converting that data into relational models
- Experience with JIRA, BitBucket Git, and BitBucket Pipelines
- Proficient in Excel; familiar with analytical tools like Tableau, Power BI, or MicroStrategy
- Solid understanding of data modeling concepts (star/snowflake schemas, dimensional modeling) and relational vs. non-relational models
- Working knowledge of AWS services (S3, Glue, EC2, MWAA, Lambda, ECS) a plus; Infrastructure as Code (Terraform) a plus
- Experience with relational databases (PostgreSQL, Oracle, AWS RDS); exposure to modern data warehouses (Snowflake, Redshift) a plus