Senior Software & Cloud Data Engineer

Department

BSD CTD - Engineering - HEAL

About the Department

The Center for Translational Data Science (CTDS) at the University of Chicago is a research center whose mission is to develop the discipline of translational data science to impactful problems in biology, medicine, healthcare, and the environment. We envision a world in which researchers have ready access to the data needed and the tools required to make data driven discoveries that increase our scientific knowledge and improve the quality of life. We architect ecosystems of large-scale commons of research data, computing resources, applications, tools, and services for the broader research community to use data at scale to pursue scientific inquiry and accelerate discovery. Learn more at https://gdc.cancer.gov/ , https://gen3.org/ , https://stats.gen3.org/ , and https://ctds.uchicago.edu/. This at-will position is wholly or partially funded by contractual grant funding which is renewed under provisions set by the grantor of the contract. Employment will be contingent upon the continued receipt of these grant funds and satisfactory job performance.

Job Information

Senior Software & Cloud Data Engineer for various and unanticipated worksites (HQ: Chicago, IL). Lead cloud data engineering and operations. Investigates, analyzes and resolves day-to-day technical problems. Works with stakeholders to gather and analyze requirements for developmental programs. Design applications to meet University and business requirements. Performs code testing on components and works to ensure that appropriate implementation standards are met, including Gen3, GA4GH (for data repositories and workflows), and FedRAMP, FISMA Moderate standards and FAIR principles are met. Evaluates design alternatives for development cost and solutions using various methods. Supports and maintains existing applications. Designs and develops software and models for development projects. Provides support and maintenance for existing applications. Translates technical progress and complications into non-technical prose for reporting and project management updates. Translates business requirements into technical requirements, collaborating with cross-functional subject matter experts to ensure business requirements are met by software development and technical operations. Co-lead technical meetings with external partners to propose co-development of separate systems to meet business needs from scientific and business communities. Advocate for project needs as part of the software product team. Demonstrate programs and provide appropriate written documentation of project development and programming code. Solves complex programs and works at a high technical level in all phases of development. Contribute to scientific publications on software for data commons, meshes, fabrics. Contribute to global standards (especially GA4GH) for software storing, sharing, accessing, and computing on human genomic data through collaborating with other global leaders and by writing, reviewing, and implementing code. Co-leads design & regular maintenance of data operations of petabyte-scale workflows of replicating and/or indexing sensitive, controlled & open access data into cloud environments with FAIR compliance. Manages and implements regular data operations of petabyte-scale data transfer, index, and replication workflows in private and public cloud environments. Tech: AWS, GCP, JavaScript, Python, Web services, Web applications, RESTful API, microservices, and containerization; container-based deployment solutions (Docker, Kubernetes); React, Terraform, Golang/JavaScript; PostgreSQL; CI/CD; open source; Git.

Additional Responsibilities

Education:  

Bachelor’s degree in Computer Science or related field plus two years of experience in software development required. Required skills: 2 years experience with each: writing applications using Python and Go; Kubernetes; Docker; Postgre SQL; High performance or cloud computing on AWS and GCP; microservice development for FISMA and FedRAMP Moderate systems; Git; in genomics, data science, scientific visualization or workflow engines; GA4GH standards for data repositories and workflows; FAIR principles. 1 year experience writing applications in JavaScript. Experience must include: React, terraform. Background check including review of conviction history required. Position is in office & remote – ability to come on-site as needed.

When applying, the document(s) MUST be uploaded via the My Experience page, in the section titled Application Documents of the application.

Benefit Eligibility​

Yes

The University of Chicago offers a wide range of benefits programs and resources for eligible employees, including health, retirement, and paid time off.

Pay Rate Type

Salary

Pay Range

$93,281.00 - $137,800.00

The included pay rate or range represents the University’s good faith estimate of the possible compensation offer for this role at the time of posting.

Scheduled Weekly Hours

40

Union

Non-Union

Job is Exempt

Yes

Drug Test Required

No

Health Screen Required

No

Motor Vehicle Record Inquiry Required

No

Posting Date

2025-02-06

Posting Statement

The University of Chicago is an Affirmative Action/Equal Opportunity/Disabled/Veterans and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender, gender identity, national or ethnic origin, age, status as an individual with a disability, military or veteran status, genetic information, or other protected classes under the law. For additional information please see the University's Notice of Nondiscrimination.

 

Staff Job seekers in need of a reasonable accommodation to complete the application process should call 773-702-5800 or submit a request via Applicant Inquiry Form.

 

We seek a diverse pool of applicants who wish to join an academic community that places the highest value on rigorous inquiry and encourages a diversity of perspectives, experiences, groups of individuals, and ideas to inform and stimulate intellectual challenge, engagement, and exchange.

 

All offers of employment are contingent upon a background check that includes a review of conviction history.  A conviction does not automatically preclude University employment.  Rather, the University considers conviction information on a case-by-case basis and assesses the nature of the offense, the circumstances surrounding it, the proximity in time of the conviction, and its relevance to the position.

 

The University of Chicago's Annual Security & Fire Safety Report (Report) provides information about University offices and programs that provide safety support, crime and fire statistics, emergency response and communications plans, and other policies and information. The Report can be accessed online at: http://securityreport.uchicago.edu. Paper copies of the Report are available, upon request, from the University of Chicago Police Department, 850 E. 61st Street, Chicago, IL 60637.