What are the responsibilities and job description for the Data Engineer position at ADN Group?
Position: Data Engineer
Location: Baton Rouge, Louisiana 70802
Work Type: Onsite Role
Duration: 06 Months of Contract
Note: No H1B // Need Local Candidate only
Required Skills & Years of Experience:
3 years of experience in data engineering and/or data architecture
2 years of experience with Python for ETL and automation (pandas, requests, API integration)
2 years hands-on experience with SQL queries, stored procedures, performance tuning (preferable Oracle, SQL Server, MySQL)
1 year experience with ETL orchestration tools (Prefect, Airflow or equivalent)
1 year experience with cloud platforms (Azure, AWS, or GCP), including data onboarding/migration
1 year exposure to data lake / medallion architecture (bronze, silver, gold)
2 years of experience providing written documentation and verbal communication for cross-functional collaboration
Preferred Experience & Skills:
5 years of experience in data engineering roles
Experience integrating or developing REST/JSON or XML APIs
Familiarity with CI/CD pipelines (GitHub Actions, Azure DevOps, etc.)
Exposure to Infrastructure as Code experience (Terraform, CloudFormation)
Experience with data governance and metadata tools (Atlan, OpenMetadata, Collibra)
Public health/healthcare dataset or similar experience, including PHI/PII handling
Familiarity with SAS and R workflows to support epidemiologists and analysts
Experience with additional SQL platforms (Postgres, Snowflake, Redshift, BigQuery)
Familiarity with data quality frameworks (Great Expectations, Deequ)
Experience with real-time/streaming tools (Kafka, Spark Streaming)
Familiarity with big data frameworks for large-scale transformations (Spark, Hadoop)
Knowledge of data security and compliance frameworks (HIPAA, SOC 2, etc.)
Responsibilities:
Assess feasibility and technical requirements for LINKS ? DataLake integration
Collaborate with client Immunization Program, client Health Informatics 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
Location: Baton Rouge, Louisiana 70802
Work Type: Onsite Role
Duration: 06 Months of Contract
Note: No H1B // Need Local Candidate only
Required Skills & Years of Experience:
3 years of experience in data engineering and/or data architecture
2 years of experience with Python for ETL and automation (pandas, requests, API integration)
2 years hands-on experience with SQL queries, stored procedures, performance tuning (preferable Oracle, SQL Server, MySQL)
1 year experience with ETL orchestration tools (Prefect, Airflow or equivalent)
1 year experience with cloud platforms (Azure, AWS, or GCP), including data onboarding/migration
1 year exposure to data lake / medallion architecture (bronze, silver, gold)
2 years of experience providing written documentation and verbal communication for cross-functional collaboration
Preferred Experience & Skills:
5 years of experience in data engineering roles
Experience integrating or developing REST/JSON or XML APIs
Familiarity with CI/CD pipelines (GitHub Actions, Azure DevOps, etc.)
Exposure to Infrastructure as Code experience (Terraform, CloudFormation)
Experience with data governance and metadata tools (Atlan, OpenMetadata, Collibra)
Public health/healthcare dataset or similar experience, including PHI/PII handling
Familiarity with SAS and R workflows to support epidemiologists and analysts
Experience with additional SQL platforms (Postgres, Snowflake, Redshift, BigQuery)
Familiarity with data quality frameworks (Great Expectations, Deequ)
Experience with real-time/streaming tools (Kafka, Spark Streaming)
Familiarity with big data frameworks for large-scale transformations (Spark, Hadoop)
Knowledge of data security and compliance frameworks (HIPAA, SOC 2, etc.)
Responsibilities:
Assess feasibility and technical requirements for LINKS ? DataLake integration
Collaborate with client Immunization Program, client Health Informatics 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
