Hands-on Data Enablement role at DataSF, helping City departments move data onto the Unified Data Platform.

Build and maintain production data pipelines that deliver department data to the platform, including tests and documentation for maintainability by others.
Develop and test data models in dbt on Snowflake to turn raw department data into clean, well-documented tables used by City analysts.
Create financial and budget data products using City financial and workforce systems to support migration off legacy reporting and provide accurate numbers for budgeting and planning.
Support platform cost and usage reporting so the team and partner departments can understand platform expenses and resource utilization.
Assist in transitioning publishing workflows from legacy systems to the platform, including public-facing open data feeds.
Investigate and resolve data quality issues by tracing errors to their source, fixing problems, and adding tests to prevent recurrence.
Support department onboarding by helping analysts understand and use the models developed.
Participate in code review and progress toward reviewing others’ code as experience grows.

Associate degree in computer science, computer engineering, information systems, or a closely related field from an accredited college or university, or an equivalent based on total course credits/units (minimum 60 semester or 90 quarter credits/units; with minimum 20 semester or 30 quarter credits/units in one of the listed fields).
1 year of experience analyzing, installing, configuring, enhancing, and/or maintaining system or platform components.
1 additional year of experience of the type described above may substitute for the required degree.
Completion of the 1010 Information Systems Trainee Program may substitute for the required degree.

Experience building real data-moving or data-transforming projects (job, internship, or personal) with the ability to explain design and challenges.
Ability to write SQL and familiarity with at least one programming language, ideally Python.
Strong attention to numerical accuracy and strong instincts for when data looks incorrect.
Experience with financial, budget, or ERP data is a plus, plus familiarity with dbt, Snowflake, or Terraform.
Strong potential and intuition working with data, with ability to learn new tools and the platform stack on the job.

Location: San Francisco, CA (hybrid)
Experience level: Minimum 1 years
Position type: Permanent Exempt (PEX), full time, excluded by Charter from competitive civil service examination; serves at the discretion of the appointment officer.
Project duration: Anticipated 36 months; project-based roles cannot be ongoing or exceed 36 months.

Application opening: Wednesday, September 23, 2026
Application deadline: Wednesday, September 30, 2026 at 11:59pm PST
Supplemental questionnaire: Required at the time of application: https://forms.cloud.microsoft/g/r5AP7vN0qM
Minimum qualifications must be met by the final filing date.
Every application is reviewed to verify minimum qualifications as listed in the job ad.
One-year full-time employment equals 2000 hours (based on a 40 hour work week); overtime above 40 hours/week is not included.
Applicants must make it clear in the application how they meet minimum qualifications.
Applicants may be asked to submit verification of qualifying education and experience during the application and/or selection process.
Qualified candidates must complete subsequent steps, including the supplemental questionnaire at the time of application.

Data Engineer (1042) - Data Enablement

Job Description