Data Engineer

Job Title: Data Engineer
Location : Atlanta, GA
Experience: 5+ Years
Required visa independent candidates
Preferred Domain Experience: Elevance Health

Job Summary

We are seeking an experienced Data Engineer to design, develop, and optimize scalable data pipelines and enterprise data platforms supporting analytics, reporting, AI/ML initiatives, and healthcare business operations.

The ideal candidate will have strong hands-on experience in cloud data engineering, ETL/ELT development, data warehousing, big data technologies, data quality, and governance, preferably within the healthcare or health insurance domain.

Key Responsibilities

• Design, develop, and maintain scalable ETL/ELT data pipelines for structured and unstructured data.
• Build data ingestion frameworks from multiple source systems, APIs, databases, and cloud platforms.
• Develop and maintain data warehouses, data lakes, and enterprise data models.
• Implement data transformation, validation, reconciliation, monitoring, and data quality processes.
• Ensure data integrity, security, governance, and compliance across enterprise data platforms.
• Optimize large-scale data pipelines and database workloads for performance and scalability.
• Support enterprise analytics, reporting, AI/ML, and data science initiatives through reliable data delivery.
• Implement metadata management, data lineage, and data cataloging solutions.
• Troubleshoot production data issues and perform root cause analysis.
• Collaborate with Business Analysts, Data Architects, Data Scientists, Application Teams, and other stakeholders.
• Participate in code reviews, architecture discussions, technical design sessions, and Agile ceremonies.
• Follow healthcare regulatory and data privacy requirements, including HIPAA.
• Work effectively with distributed teams across multiple locations.
• Contribute to enterprise-scale data engineering initiatives and continuous improvement.

Required Skills & Experience

Data Engineering

• 5+ years of hands-on experience in Data Engineering.
• Strong experience in data pipeline development and ETL/ELT architecture.
• Strong understanding of data warehousing, data modeling, and data lake architecture.
• Experience with dimensional and relational data modeling.
• Strong SQL and data transformation skills.
• Experience implementing data quality, validation, reconciliation, and governance processes.

Cloud Technologies

Experience with one or more of the following:

AWS:

• AWS Glue
• EMR
• Lambda
• S3
• Redshift
• Athena

Azure:

• Azure Data Factory (ADF)
• Azure Data Lake
• Azure Synapse
• Databricks

Databases & Data Platforms

• SQL Server
• Oracle
• PostgreSQL
• Snowflake
• Experience with modern cloud-native data platforms is highly desirable.

Programming & Big Data

• Python
• SQL
• PySpark
• Shell Scripting
• Apache Spark
• Hadoop ecosystem
• Kafka is preferred

DevOps & CI/CD

• Git
• Jenkins
• Azure DevOps
• CI/CD pipeline implementation
• Experience with automated deployment and data engineering DevOps practices.

Preferred Qualifications

• Experience in Healthcare, Health Insurance, or Life Sciences.
• Experience supporting healthcare payer or insurance data environments.
• Experience with Elevance Health / Carelon is highly preferred.
• Exposure to AI/ML data pipelines and MLOps frameworks.
• Knowledge of healthcare data standards such as:
• HL7
• FHIR
• ICD
• CPT
• Experience with Snowflake, Databricks, or other modern cloud data platforms.
• Familiarity with Agile/Scrum methodology.
• Understanding of HIPAA, healthcare data privacy, and regulatory requirements.