Genomic Data Engineer for Public Health Analytics

Seneca Holdings; Atlanta (GA); On-site; USD 120,000 - 170,000; Full time

Job summary

Great Hill Solutions, LLC seeks a Microbiologist IV (Genomic Data Engineer) in Atlanta, GA to support CORVD objectives. You will develop scalable genomic data pipelines, manage ETL for diverse datasets, and collaborate with epidemiologists and lab scientists on outbreak analytics.

The role emphasizes data governance, reproducible workflows, and documentation, with on-site work and regular team updates in a mission-focused environment.

Qualifications

• Proficiency with Hadoop ecosystem technologies (HDFS, Spark, Hive, Impala).
• Experience with genomic, laboratory, epidemiological, or public health datasets.
• Developing and optimizing data validation, transformation, harmonization, and standardization processes.
• Ingesting and managing datasets from external genomic repositories like GenBank and SRA.
• Version control with Git and reproducible data pipelines.

Responsibilities

• Develop, maintain, and optimize distributed data pipelines using Hadoop ecosystem tools.
• Manage large-scale ETL workflows for genomic and epidemiological datasets.
• Ingest and harmonize genomic datasets from external repositories and maintain update pipelines.
• Collaborate with bioinformaticians, epidemiologists, and lab scientists to translate questions into scalable data workflows.
• Prepare technical reports and documentation; ensure data governance and secure handling of health data.

Skills

Data engineering

ETL development

Large-scale data integration

Genomic datasets

Git

Data governance

Education

Bachelor's degree in Bioinformatics, Data Science, Genomics, Computational Biology or related field

Master's degree preferred

Tools

HDFS

Apache Spark

Apache Hive

Apache Impala

Git

Job description

Great Hill Solutions, LLC seeks a Microbiologist IV (Genomic Data Engineer) in Atlanta, GA to support CORVD objectives. You will develop scalable genomic data pipelines, manage ETL for diverse datasets, and collaborate with epidemiologists and lab scientists on outbreak analytics.

The role emphasizes data governance, reproducible workflows, and documentation, with on-site work and regular team updates in a mission-focused environment.