Sr Data Engineer

Hybrid in Baltimore, MD, US • Posted 10 hours ago • Updated 10 hours ago
Contract W2
Hybrid
Depends on Experience
Fitment

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Job Details

Skills

  • Amazon Web Services
  • Apache Spark
  • Cloud Computing
  • Debugging
  • Data Warehouse
  • Distributed Computing
  • Data Processing
  • HIPAA
  • HL7
  • Java
  • Electronic Health Record (EHR)
  • Scala
  • SQL
  • Python
  • PySpark
  • Terraform

Summary

Job Description :
Specialized experience: The candidate should have experience as data engineer or similar role with a strong understanding of data architecture and ETL processes. The candidate should be proficient in programming languages for data processing and knowledgeable of distributed computing and parallel processing.
3+ years hands-on experience in building, deploying, and maintaining data pipelines on AWS or equivalent cloud platforms.
Strong coding skills in Python and SQL (Scala or Java a plus).
Proven experience with Apache Spark (PySpark) for large-scale processing.
Hands-on experience with AWS Glue, S3, Redshift, Athena, EMR, Lake Formation.
Strong debugging and performance optimization skills in distributed systems.
Hands-on experience with Iceberg, Delta Lake, or other OTF table formats.
Experience with Airflow or other pipeline orchestration frameworks.
Practical experience in CI/CD and Infrastructure-as-Code (Terraform, CloudFormation).
Practical experience with EDI X12, HL7, or FHIR data formats.
Strong understanding of Medallion Architecture for data lake houses.
Hands-on experience building dimensional models and data warehouses.
Working knowledge of HIPAA and CMS interoperability requirements.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10426916
  • Position Id: 8970254
  • Posted 10 hours ago
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