Required Qualifications:

Staff Scientific Data Engineer:

A Bachelor's Degree (or equivalent knowledge/training) in Computer Science or a related field and a minimum of 5 years of related professional work experience developing, integrating, deploying, and supporting production software applications and data systems that enable metadata management, workflow orchestration, data lifecycle operations, and broad user data access to scientific and operational data or an equivalent combination of education and professional experience.\nExperience working with various database and data storage technologies including relational databases, object storage platforms, and systems supporting structured, semi-structured, and large-scale datasets.\nExperience with data engineering and event-driven technologies such as Airflow, Kafka, or related tools.\nExperience using AI-assisted development tools, with demonstrated sound judgment in evaluating and validating generated code for production suitability.\nStrong working knowledge of software and data engineering fundamentals supporting large-scale production systems, including system design, APIs, testing methodologies, concurrency, reliability, scalability, interoperability, and performance optimization.\nProficiency in Python and experience with one or more additional programming languages.\nExcellent communication skills, including experience organizing and presenting complex technical information to internal teams and stakeholders.\nDemonstrated experience collaborating with stakeholders to understand project goals and translate complex scientific, operational, and user requirements into automated systems, technical specifications, and implementation plans. In addition to the above, the

Senior Scientific Data Engineer:

A Bachelor's Degree (or equivalent knowledge/training) in Computer Science or a related field and a minimum of 8 years of related professional work experience developing, integrating, deploying, and supporting production software applications and data systems that enable metadata management, workflow orchestration, data lifecycle operations, and broad user data access to scientific and operational data or an equivalent combination of education and professional experience.\nDemonstrated experience provide technical leadership in shaping system architecture and technical direction across cross-functional engineering groups\nDemonstrated experience providing technical guidance and mentorship to team members while promoting and championing engineering best practices, documentation, and continuous optimization of development workflows and operational processes.

Desired Qualifications:

A Master's Degree (or equivalent knowledge/training) in Computer Science or a related field.\nExperience working with Laboratory Information Management System (LIMS) software.\nExperience working with laboratory operations staff and supporting laboratory workflows.

Additional Information:

Application Date:

Priority consideration will be given to candidates who apply with a resume and cover letter by August 27, 2026. Applications will be accepted until the job posting is removed.\n

Appointment Type:

This is a full time, exempt from overtime pay (monthly paid), 2 year (benefits eligible), Term appointment with the possibility of extension or conversion to Career appointment based upon satisfactory job performance, continuing availability of funds, and ongoing operational needs.\n

Salary Range:

\nThe Staff Scientific Data Engineer position has a budgeted salary range of $117,132 - $146,400 annually for job code C71.2\nThe Senior Scientific Data Engineer position has a budgeted salary range of $139,440 - $174,312 annually for job code C71.3. It is not typical for an individual to be offered a salary at or near the top of the range for either level of the position. Salary will be commensurate with the final candidate's qualification and experience, including skills, knowledge, relevant education, certifications, and aligned with the internal peer group.

Background Check:

This position is subject to a background check. Any convictions will be evaluated to determine if they directly relate to the responsibilities and requirements of the position. Having a conviction history will not automatically disqualify an applicant from being considered for employment.\n

Work Modality:

This position is eligible for a hybrid work schedule - a combination of teleworking and performing work on site at Lawrence Berkeley National Lab located at 1 Cyclotron Road, Berkeley, CA 94720. Individuals working a hybrid schedule must reside within 150 miles of Berkeley Lab. Work schedules are dependent on business needs. In rare cases, full-time telework or remote work modes may be considered. A REAL ID or other acceptable form of identification is required to access Berkeley Lab sites (for more information click here).\n

Relocation Assistance:

This position is eligible for relocation assistance.\n

Work Authorization:

Applicants must be legally authorized to work in the United States. Berkeley Lab does not provide visa sponsorship for this position. Want to learn more about working at Berkeley Lab?

Please visit:

careers.lbl.gov

Equal Employment Opportunity Employer:

The foundation of Berkeley Lab is our

Stewardship Values:

Team Science, Service, Trust, Innovation, and Respect; and we strive to build community with these shared values and commitments. Berkeley Lab is an Equal Opportunity Employer. We heartily welcome applications from all who could contribute to the Lab's mission of leading scientific discovery, excellence, and professionalism. In support of our rich global community, all qualified applicants will be considered for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected categories under State and Federal law.

Misconduct Disclosure Requirement:

As a condition of employment, the final candidate who accepts an offer of employment will be required to disclose if they have been subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct; or have filed an appeal of a finding of substantiated misconduct with a previous employer. 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Scientific Data Engineer (Institutional Informatics Team - Joint Genome Institute)