Data Engineer DE 25-33274

Data Engineer

Location: Remote (Louisiana)

Contract Duration: 12 months with potential extension

Note: The Pay Rate mentioned is for C2C Tax Term W2 Rate will be different.

Position Overview

Seeking an experienced Data Engineer to support data integration pipeline development governance and architecture initiatives across multiple public health data systems. This role involves building scalable ETL workflows enhancing data quality supporting cloud migrations and collaborating with cross-functional teams on data-driven solutions.

Key Responsibilities

• Assess feasibility and technical requirements for integrating core systems with a centralized Data Lake.

• Collaborate with internal teams and external partners on data specifications ingestion workflows and recurring pipelines.

• Build maintain and optimize ETL processes for datasets including immunization systems vital records laboratory data and registries.

• Design scalable and efficient workflows to enhance data quality consistency and identity matching.

• Implement data governance practices observability and lineage tracking across all pipelines.

• Mentor engineering staff support testing processes and enforce best practices in data orchestration and architecture.

• Document and communicate technical solutions for both technical and non-technical stakeholders.

Minimum Required Qualifications

• 3 years experience in data engineering or data architecture.

• 2 years Python experience for ETL/automation (pandas requests API integrations).

• 2 years strong SQL experience (queries stored procedures performance tuning).

• 1 year experience with ETL orchestration tools (Airflow Prefect or equivalent).

• 1 year experience with cloud platforms (Azure AWS or GCP) including onboarding/migration work.

• 1 year exposure to Data Lake / Medallion architecture (bronze/silver/gold layers).

• 2 years experience producing clear technical documentation and collaborating cross-functionally.

Preferred (Not Required)

• 5 years experience in data engineering.

• Experience integrating or developing REST/JSON or XML APIs.

• Familiarity with CI/CD tools (GitHub Actions Azure DevOps etc.).

• Exposure to Infrastructure as Code (Terraform CloudFormation).

• Experience with data governance/metadata platforms (Atlan Collibra OpenMetadata).

• Experience with PHI/PII datasets in public health or healthcare domains.

• Familiarity with SAS or R workflows used by analysts/epidemiologists.

• Experience with additional SQL-based platforms (Postgres Snowflake Redshift BigQuery).

• Knowledge of data quality frameworks (Great Expectations Deequ).

• Experience with streaming technologies (Kafka Spark Streaming).

• Experience with large-scale processing frameworks (Spark Hadoop).

• Knowledge of compliance/security standards (HIPAA SOC 2 etc.).

• Experience working in Agile/Scrum environments.

For more details reach at

About Navitas Partners LLC: It is a certified WBENC and one of the fastest-growing Technical / IT staffing firms in the US providing services to numerous clients. We offer the most competitive pay for every position. We understand this is a partnership. You will not be blindsided and your salary will be discussed upfront.