Data Integration Engineer
About The Position
The Data Integration Engineer designs, develops, and maintains data integration solutions and pipelines that support enterprise analytics, data sharing, and operational reporting. The candidate shall have experience performing data mapping, transformation, normalization, and data quality validation activities to support enterprise analytics, reporting, operational, and mission requirements. The candidate should possess strong knowledge of data integration patterns, data lifecycle management, and modern cloud-based data architecture. The candidate shall demonstrate experience supporting data onboarding initiatives, including source system analysis, requirements collection, interface design, integration development, testing, and operational deployment. Experience working closely with Data Governance, Data Stewardship, Metadata, and Security teams to ensure compliance with data standards and governance requirements is required. The candidate shall possess experience implementing metadata capture, lineage tracking, tagging, and classification capabilities within data ingestion and processing workflows. Experience supporting enterprise data catalogs and metadata management initiatives is highly desired.
Requirements
- Python
- SQL
- ETL/ELT Development
- API Development
- Azure Data Factory
- Databricks
- Data Modeling
- Cloud Data Platforms
- Data Validation and Testing
- Experience working closely with Data Governance, Data Stewardship, Metadata, and Security teams to ensure compliance with data standards and governance requirements is required.
- Experience implementing metadata capture, lineage tracking, tagging, and classification capabilities within data ingestion and processing workflows.
Nice To Haves
- Bachelor’s degree in computer science or related discipline.
- Experience with Azure, AWS, or hybrid cloud environments.
- Experience supporting enterprise data catalogs and metadata management initiatives is highly desired.
Responsibilities
- Design and build ETL/ELT data pipelines.
- Develop APIs and data integration services.
- Perform data mapping and transformation activities.
- Implement automated data ingestion processes.
- Monitor and optimize data processing performance.
- Support cloud-based data architectures.
- Document data lineage and integration workflows.
- Collaborate with governance teams to ensure compliance standards are met.
Benefits
- 100% paid employee healthcare premiums. CareFirst Advantage Best in Class Benefits.
- HaloScripts Concierge prescription medication service
- Generous PTO.
- 10 % 401K 6% match vested day one and up to 4% profit sharing contribution.
- Annualized bonus compensation.
- Spot bonuses for hard work.
- Tuition reimbursement.
- 529 College Saving Plan.
- College Loan Pay Back Program.
- 11 Paid Federal Holidays
- Generous Referral Bonuses.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Senior
