Data Engineer

  • BATON ROUGE, LA
  • Posted 10 hours ago | Updated moments ago

Overview

Remote
On Site
Full Time
Part Time
Accepts corp to corp applications
Contract - W2
Contract - Independent

Skills

AZURE
JSON
BIGQUERY
R
SQL SERVER
POSTGRES
SQL QUERIES
PYTHON
SQL
MYSQL
XML
AWS
METADATA TOOLS

Job Details

Roles/Responsibilities:

  • Assess feasibility and technical requirements for LINKS DataLake integration.
  • Collaborate with OPH Immunization Program, OPH Bureau of Health Informatics and STChealth on data specifications and recurring ingestion pipelines.
  • Build and optimize ETL workflows for LINKS and complementary datasets (Vital Records, labs, registries).
  • Design scalable data workflows to improve data quality, integrity, and identity resolution.
  • Implement data governance, observability, and lineage tracking across all pipelines.
  • Mentor engineers, support testing, and enforce best practices in orchestration and architecture.
  • Document and communicate technical solutions to technical and non-technical stakeholders.

Mandatory Skills:

  1. 3 years of experience in data engineering and/or data architecture
  2. 2 years of experience with Python for ETL and automation (pandas, requests, API integration).
  3. 2 years hands-on experience with SQL queries, stored procedures, performance tuning (preferable Oracle, SQL Server, MySQL)
  4. 1 year experience with ETL orchestration tools (Prefect, Airflow or equivalent).
  5. 1 year experience with cloud platforms (Azure, AWS, or Google Cloud Platform), including data onboarding/migration.
  6. 1 year exposure to data lake / medallion architecture (bronze, silver, gold)
  7. 2 years of experience providing written documentation and verbal communication for cross functional collaboration.

Desirable Skills:

  1. 5+ years of experience in data engineering roles
  2. Experience integrating or developing REST/JSON or XML APIs
  3. Familiarity with CI/CD pipelines (GitHub Actions, Azure DevOps, etc.).
  4. Exposure to Infrastructure as Code experience (Terraform, CloudFormation).
  5. Experience with data governance and metadata tools (Atlan, OpenMetadata, Collibra).
  6. Public health/healthcare dataset or similar experience, including PHI/PII handling.
  7. Familiarity with SAS and R workflows to support epidemiologists and analysts.
  8. Experience with additional SQL platforms (Postgres, Snowflake, Redshift, BigQuery).
  9. Familiarity with data quality frameworks (Great Expectations, Deequ).
  10. Experience with real-time/streaming tools (Kafka, Spark Streaming).
  11. Familiarity with big data frameworks for large-scale transformations (Spark, Hadoop).
  12. Knowledge of data security and compliance frameworks (HIPAA, SOC 2, etc.).
  13. Agile/SCRUM team experience

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