Senior Data Engineer | Public Health Data Pipelines Hybrid

Blu Omega Inc.

Columbia, Northern (MD, KY)

Hybrid

USD 150,000 - 165,000

Full time

38 hours ago
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Benefits offered by this job

Medical, Dental, and Vision coverage
401(k) with company match
Life and AD&D insurance
Short-term and long-term disability
EAP with 24/7 support

Job summary

Blu Omega Inc. is seeking a Senior Data Engineer for a hybrid role based in the Atlanta, GA or Washington, DC area, supporting the CDC's mission to enhance public health through data-driven decisions.

Responsibilities include designing and maintaining scalable ETL/ELT pipelines with Python and SQL, building data warehouses and lakehouse environments on Databricks, and implementing data quality, governance, and Azure-based solutions (Azure Data Factory).

Qualifications

  • 8+ years of experience in data engineering or related technical field.
  • 6+ years of hands-on experience with Python and SQL, including building scalable ETL/ELT pipelines.
  • 2+ years of experience with Azure data services, including Azure Data Factory.
  • 1+ years of hands-on experience with Databricks or similar platforms.
  • Experience integrating and transforming data from APIs, flat files, relational databases, and other sources.
  • Strong understanding of relational and NoSQL databases, data modeling, and schema design.
  • Knowledge of data quality, governance, security, and compliance practices.
  • Experience troubleshooting and optimizing data pipelines.

Responsibilities

  • Design, develop, and maintain scalable ETL/ELT pipelines using Python and SQL.
  • Build and optimize data models, data warehouses, and lakehouse environments using Databricks.
  • Ingest, clean, validate, and transform large-scale datasets from APIs, relational databases, flat files, and unstructured sources.
  • Implement data quality, metadata management, and governance controls to support trusted enterprise analytics.
  • Develop and manage cloud-based data solutions within Microsoft Azure, including Azure Data Factory.
  • Monitor, troubleshoot, and optimize data pipelines for performance, scalability, and reliability.
  • Support automated deployment and operational processes using logging, alerting, and CI/CD practices.
  • Partner with data scientists, analysts, engineers, and business stakeholders to translate data requirements into scalable technical solutions.
  • Document data architecture, pipeline logic, data models, and operational procedures.

Skills

Python
SQL
Data modeling
Data governance
Security/compliance
Troubleshooting
NoSQL

Education

Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field

Tools

Azure Data Factory
Databricks
Azure Data Services

Job description

Blu Omega Inc. is seeking a Senior Data Engineer for a hybrid role based in the Atlanta, GA or Washington, DC area, supporting the CDC's mission to enhance public health through data-driven decisions.

Responsibilities include designing and maintaining scalable ETL/ELT pipelines with Python and SQL, building data warehouses and lakehouse environments on Databricks, and implementing data quality, governance, and Azure-based solutions (Azure Data Factory).

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