Data Engineer

Data Engineer

Pay Range: $50.00/hr - $55.00/hr. We are seeking a skilled Data Engineer with strong expertise in cloud-based data engineering, ETL/ELT development, and big data technologies. The ideal candidate should have experience working in healthcare environments and be proficient in AWS (Glue, EMR, Lambda, S3, Redshift, Athena) or Azure (ADF, Data Lake, Synapse, Databricks). Candidates should have experience with databases such as SQL Server, Oracle, PostgreSQL, or Snowflake, along with strong programming skills in Python, SQL, PySpark, and Shell Scripting. Knowledge of Apache Spark, the Hadoop ecosystem, DevOps and CI/CD tools such as Git and Jenkins/Azure DevOps, and Agile/Scrum methodologies is required. Familiarity with healthcare data standards including HL7, FHIR, ICD, and CPT is preferred. A Bachelor's or Master's degree in Computer Science, Information Technology, Data Engineering, or a related field is required. The selected candidate will design, develop, and maintain scalable ETL/ELT pipelines for structured and unstructured data, build and optimize data ingestion frameworks from APIs, databases, cloud platforms, and multiple source systems, and develop enterprise data models, data warehouses, and data lakes. Responsibilities include ensuring data quality, integrity, security, and governance, collaborating with business analysts, architects, data scientists, and application teams, implementing data transformation, validation, reconciliation, monitoring, metadata management, lineage tracking, and data cataloging solutions, optimizing large-scale data pipelines and database workloads, supporting analytics, reporting, AI/ML, and data science initiatives, troubleshooting production issues, participating in code reviews and architecture discussions, ensuring compliance with HIPAA and other healthcare data privacy standards, and working with distributed teams on enterprise-scale data initiatives.