Data Engineer

Black Canyon Consulting Open · verified Oct 24, 2026

NIH-Bethesda Mid-level Data Engineering

At a glance

Mid-level Data Engineering role at Black Canyon Consulting. NIH-Bethesda · no salary stated · we estimate $112,500–$160,000 across the United States.

Estimated pay

Black Canyon Consulting has not published a salary for this role. The figure below is our estimate, not theirs.

$112,500 – $160,000

What the middle half of mid-level data engineering roles in the United States paid, among postings that did state a salary.

Worked out from 386 postings that stated pay, median $134,547. Last updated Oct 24, 2026.

RoleData Engineering

SeniorityMid-level

LocationNIH-Bethesda

PostedJan 11, 2022 · 4y ago

Role brief

dataroles summary, based on the employer's posting.

What you'll do

Build, test and maintain software for NCBI data resources alongside scientists and software developers
Implement bioinformatics algorithms that make searching and data submission more efficient
Help develop cloud-ready tools and pipelines to improve performance and scale for genetic sequence data
Support resources such as PubMed, GenBank, SRA and ClinicalTrials.gov

What you bring

You’re proficient in Python and have worked with MS SQL Server, including relational database design and tuning
You have programmed in Linux and used shell scripts such as BASH, while handling large datasets
You can work with XML, JSON or another listed structured document format
You’ve worked with CI/CD pipelines, unit testing, integration testing and regression testing

Who this fits

This full-time role is based at NCBI in Bethesda, Maryland, and suits a mid-level data engineer who wants to build and maintain biomedical data software. You’ll work with scientists and software developers.

From the employer

Overview

Black Canyon Consulting (BCC) is searching for Data Engineer(s) to support our work for the National Center for Biotechnology Information (NCBI) at the National Library of Medicine (NLM), an institute of the National Institutes of Health. This opportunity is full time at the NCBI in Bethesda, MD.

The NCBI is part of the National Library of Medicine (NLM) at the National Institutes of Health (NIH). NCBI is the world's premier biomedical center hosting over six million daily users seeking research, clinical, genetic, and other information impacting biomedical research and public health. At NCBI, you can literally help accelerate cures for diseases! NCBI's wide range of applications, platforms (node, python, Django, C++, you name it), and environments (big data [petabytes], machine learning, multiple clouds) serve more users than almost any other US Government Agency, according to https://analytics.usa.gov/.

We attract the best people in the business with our competitive benefits package that includes medical, dental and vision coverage, 401k plan with employer contribution, paid holidays, vacation, and tuition reimbursement. If you enjoy being a part of a high performing, professional service and technology focused organization, please apply today!

Job Description

There are multiple openings. You will work with a talented group of scientists and software developers to design, develop, test, and maintain programs for NCBI's world's premier biomedical data resources, with examples below -

PubMed - with 33+ million biomedical literature and 5+ million daily users
GenBank - with over 12 trillion nucleotide bases. A part of the International Nucleotide Sequence Database Collaboration(INSDC), exchanging data with the DNA DataBank of Japan (DDBJ) and the European Nucleotide Archive (ENA) daily.
SRA - The Sequence Read Archive(SRA), the largest publicly available repository of high-throughput sequencing data, available in multiple cloud providers and NCBI servers, also part of International Nucleotide Sequence Database Collaboration(INSDC).
ClinicalTrials.gov - providing access to both privately and publicly funded clinical trial studies around the world

Specific tasks may include implementing efficient bioinformatic algorithms, and facilitating the development of cloud-ready tools and pipelines to improve the performance and scalability of searching in and submitting to the more than ten terabytes of genetic sequence data at NCBI.

Required Skills

Proficiency in Python
Experience with MS SQL server and relational database design and optimization
Programming experience in a Linux environment and shell scripts such as BASH
Experience in handling large amounts of data
Ability to work with common structured documents (at least one of XML, JSON)
Experience with CI/CD pipelines, unit tests, integration, and regression testing