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Senior Genomics Data Engineer

Remote / Online - Candidates ideally in
Aurora, Arapahoe County, Colorado, 80012, USA
Listing for: Children's Hospital Colorado
Remote/Work from Home position
Listed on 2026-01-01
Job specializations:
  • IT/Tech
    Data Engineer, Data Analyst
Job Description & How to Apply Below

Senior Genomics Data Engineer

Location: Aurora

Job Overview

As a Senior Genomics Data Engineer at Children's Hospital Colorado, you will be a key member of the Bioinformatics Team part of the GUIDE (Genomics Utilised Innovated Data Enabled) program. The GUIDE program includes our nationally and internationally known clinical laboratory, Precision Diagnostics Laboratory PDx, as well as the focused efforts of our genomics research mission. The GUIDE Bioinformatics team plays a pivotal role in providing a best‑in‑class clinico‑genomics dataset and infrastructure needed for internal and external partners to gain deeper biological insights and operational awareness.

Our patients are at the centre of our mission, and the clinico‑genomic solution must bring biological and operational insights back to our paediatric focused health systems. Working closely with Innovation, Technical Operations, Genomics Research, and IT teams, you will be responsible for both clinical and research‑only dataset structures as well as developing programmatic interfaces to facilitate easy access to empower clinico‑genomic scientific discoveries.

As a senior member of the team, you may perform lead work over low and medium complexity cross‑functional efforts.

Potential Specialty Areas: Airflow, ETL, Azure, Power

BI, Data Virtualization Interface, Quality, BI, R, Python, GIT, Epic

Additional Information
  • Hours per week: 40, eligible for benefits
  • Shift: Days, Monday - Friday, with potential to support urgent test requests on weekends and holidays.

  • * This is a hybrid position, and eligible for remote work.
Duties & Responsibilities
  • Analyzes, designs, builds, modifies, implements, tests and debugs new or existing data streams, architectures, databases, and systems integration to automate business processes, as applicable. Completes data extraction and manipulation to develop meaningful and actionable results and may complete data profiling. Supports and performs data validation and auditing. Writes and documents technical specifications to build complex analytics solutions.
  • Designs and/or implements complex machine learning or predictive models and AI algorithms to integrate into workflow.
  • Conducts data analysis and develops meaningful, accurate and dependable data reports, and dashboards using SQL and/or other toolsets. Recommends, develops, documents and maintains coding and development standards, principles and practices.
  • Works cross‑functionally with Innovation, Technical Operations, Genomics Research, IT, and external teams to tackle complex data challenges and drive scientific discovery.
  • Develops innovative solutions that simplify access to complex genomic data, effectively lowering the barrier to entry for internal and external partners.
  • Designs, builds and continuously optimizes robust, scalable, and automated data pipelines for processing large‑scale genomic and clinical data.
  • Administrates, builds and supports analytics tools that utilize the data pipeline to provide actionable insights for the business. Develops in open source tools as needed.
  • Consults and collaborates with a variety of individuals and department leaders and teams to provide comprehensive analyses supporting organization‑wide projects, programs, and initiatives. Gathers, analyzes and documents business and user requirements, functional requirements and data specifications.
  • Identifies data sources needed to produce required data sets, reports, or dashboards. Ensures delivered data solutions meet or exceed requirements. Collaborates with others to solve problems and obtain feedback on outputs.
  • Designs and develops complex processes required to extract, transform, cleanse and load data into the enterprise data warehouse and data marts. Develops solutions to address data warehouse query performance and quality issues including data profiling, development, enhancement, and technical standards. Ensures systems are maintained and supported during system and database upgrades and modifications.
  • Troubleshoots performance and system availability problems ensuring quality of the enterprise data warehouse. Consults with ARC, end users and information technology staff to…
Position Requirements
10+ Years work experience
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