Data Access Engineer at Lawrence Berkeley National Laboratory

Berkeley, California, United States -

Full Time

Start Date

Immediate

Expiry Date

08 May, 26

Salary

161000.0

Posted On

07 Feb, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, APIs, SDKs, MongoDB, Git, CI/CD, Datadog, FastAPI, AWS, S3, Boto3, Pydantic, Technical Documentation, Observability, Client Libraries, Computational Science, High-Performance Computing

Industry

Research Services

Description

Lawrence Berkeley National Laboratory is hiring a Data Access Engineer within the Materials Sciences division. The Materials Project at Lawrence Berkeley National Laboratory leverages supercomputers to uncover material properties and freely share computed data with a global community of more than 700,000 registered users. We are seeking a versatile Data Access Engineer (APIs & SDKs) to modernize the core “connective tissue” of our data platform. This role focuses on developing, maintaining, and consolidating the Materials Project APIs and associated Python client libraries. The position bridges back-end data storage and front-end user applications, ensuring our large-scale data resources remain accessible, performant, and well documented for the international scientific community. We’re here for the same mission, to bring science solutions to the world. Join our team and YOU will play a supporting role in our goal to address global challenges! Have a high level of impact and work for an organization associated with 17 Nobel Prizes! At the Level 1 You will: Maintain and update Python APIs and Pydantic validation models; perform routine MongoDB schema and query updates under general instruction. Maintain Python client libraries (mp-api, mpcontribs-client); troubleshoot automated CI/CD pipelines (GitHub Actions) and monitor releases on PyPI. Update technical documentation (MkDocs) and provide first-line technical support for programmatic data access issues. Monitor API health and latency via Datadog; report and track system anomalies. Participate in weekly engineering sprints and contribute to shared code reviews. At the Level 2, Includes all Level 1 responsibilities, plus: Architect the consolidation of disparate services; design backend logic to serve hybrid data from MongoDB and AWS S3; independently optimize complex, high-volume queries for performance and scalability. Design programmatic interfaces for the Python SDKs; lead versioning and distribution strategies; implement advanced client-side logic for authentication and caching. Author comprehensive developer tutorials and synthesize community feedback into formal technical specifications for new API features. Design custom observability metrics; lead root-cause analysis for service interruptions and remediate architectural bottlenecks. Determine methods for new assignments and coordinate technical activities for special projects. We are looking for: Level 1 (C70.1) Bachelor’s degree in relevant field and a minimum of 2 years of related experience; or equivalent work experience. Demonstrated work experience in a scientific environment. Strong proficiency in object-oriented programming with Python. Demonstrated experience building or consuming RESTful APIs. Proficiency with Git and collaborative development on GitHub. Familiarity with NoSQL databases, specifically MongoDB. Ability to communicate technical concepts clearly through written documentation and oral presentations. In addition to Level 1, Level 2 (C70.2) includes: Bachelor’s degree with 5 years of related experience; or Master’s degree with 3 years of related experience; or equivalent work experience. Advanced experience in the Level 1 knowledge, skills and abilities requirements to work independently and solve problems of diverse scope. Desired skills/knowledge: Advanced degree with one year of experience. Demonstrated work experience in computational science/research Experience with modern Python web frameworks (FastAPI, Starlette, or Pydantic). Experience with AWS cloud services, specifically S3 and Boto3. Knowledge of Python packaging and distribution (PyPI). Background or passionate interest in computational materials science or high-performance computing. Additional information: Application date: Priority consideration will be given to candidates who apply by February 27, 2026. Applications will be accepted until the job posting is removed. Appointment type: This is a full-time 1 year, 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. Salary range: The expected salary for the Level 1 position is $105,000 - $128,000, which fits into the full salary of $92,964 - $156,876 depending upon the candidate’s skills, knowledge, and abilities. This includes education, certifications, and years of experience. The expected salary for the Level 2 position is $132,000 - $161,000, which fits into the full salary of $117,132 - $197,676 depending upon the candidate’s skills, knowledge, and abilities. This includes education, certifications, and years of experience. 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. 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, 1 Cyclotron Road, Berkeley, CA. Work schedules are dependent on business needs. Individuals working a hybrid schedule must reside within 150 miles of Berkeley Lab. A REAL ID or other acceptable form of identification is required to access Berkeley Lab sites (for more information click here). 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. Berkeley Lab is a University of California employer. It is the policy of the University of California to undertake affirmative action and anti-discrimination efforts, consistent with its obligations as a Federal and State contractor. Misconduct Disclosure Requirement: As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct, are currently being investigated for misconduct, left a position during an investigation for alleged misconduct, or have filed an appeal with a previous employer.

Responsibilities

The Data Access Engineer will develop, maintain, and consolidate the Materials Project APIs and associated Python client libraries, ensuring large-scale data resources remain accessible and well documented. The role includes troubleshooting CI/CD pipelines and monitoring API health and latency.