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Data Specialist; Field Based

Job in Walnut Creek, Contra Costa County, California, 94598, USA
Listing for: Environmental Resources Management (ERM)
Full Time position
Listed on 2026-02-21
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineer, Data Science Manager
Salary/Wage Range or Industry Benchmark: 77383 - 104752 USD Yearly USD 77383.00 104752.00 YEAR
Job Description & How to Apply Below
Data Specialist (Field Based) page is loaded## Data Specialist (Field Based) locations:
Walnut Creek, California:
San Jose, California:
San Francisco, California:
Northern California - Multiple Locations time type:
Full time posted on:
Posted Todaytime left to apply:
End Date:
February 19, 2027 (30+ days left to apply) job requisition :
RERM is seeking a
** Senior Data Specialist
** in the San Francisco Bay Area to support data engineering, analytics, and enterprise data management initiatives within our San Francisco Bay Area operations. This is a full‑time (40 hours/week), limited‑term (one‑year) position with the potential for renewal. The ideal candidate will possess strong technical capabilities in data engineering, cloud platforms, and database administration, and will operate effectively within a collaborative, multidisciplinary team environment.
** Responsibilities
* ** Contribute to the design, maintenance, and governance of enterprise data models to ensure accuracy, integrity, and consistency across systems.
* Develop, enhance, and maintain scalable ETL/ELT pipelines that integrate data from multiple sources while ensuring performance and reliability.
* Create and sustain analytical datasets that support dashboards, reporting tools, and data products, and resolve associated data quality issues.
* Write, review, and optimize complex SQL queries and transformation logic; maintain technical documentation and provide guidance to junior team members.
* Translate business and functional requirements into technical data solutions and collaborate with cross‑functional teams to deliver effective analytics outputs.
* Conduct data validation and QA/QC activities; identify and implement process improvements and automation opportunities to increase operational efficiency.
** Required Qualifications
*** Bachelor’s degree in data science, computer science, information systems, or a related discipline.
* 5+ years of relevant professional experience.
* Proficiency in SQL, relational databases (e.g., SQL Server, Postgre

SQL), and foundational data modeling principles.
* Hands‑on experience developing or supporting ETL/ELT workflows.
* Working knowledge of Python or R for data processing; familiarity with version control practices.
* Working knowledge of Power Automate and Power Apps.
* Experience preparing datasets for reporting and dashboards using Power BI or Tableau.
* Exposure to cloud data environments (e.g., Azure, AWS, Snowflake) related to storage, pipelines, or analytics workloads.
* Ability to perform data QA/QC activities and maintain documentation, metadata, and related governance artifacts.
* Ability to design user‑focused dashboards and develop robust semantic data models in Power BI using Power Query and DAX.
* Experience optimizing Power BI performance, managing workspace publishing and refresh schedules, and implementing role‑based security.
* Demonstrated ability to work collaboratively within multidisciplinary teams and deliver high‑quality work within established timelines and budgets.
* Strong written, verbal, and interpersonal communication skills.
* Ability to learn new technologies quickly, work independently, and produce technical deliverables in a timely manner.
** Preferred Qualifications
*** Experience working with environmental data or environmental information systems.
* Advanced SQL expertise, including performance tuning, stored procedures, complex transformations, and optimization of large datasets.
* Advanced proficiency in DAX and Power BI optimization (e.g., incremental refresh, composite models, deployment pipelines).
* Experience with data cataloging and governance tools.
* Familiarity with Dev Ops and CI/CD workflows, Git branching strategies, and automated testing frameworks.
* Experience contributing to or leading technical solution design and mentoring junior staff.
* Knowledge of data security, privacy standards, and protection controls.
** Pay Transparency:
*** For the Senior Data Specialist position, we anticipate the annual base pay of $77,383– $104,752, $37.20/hr – $50.36/hr
** USD**, limited-term, non-exempt.  An employee’s pay position within this range will be based on several factors…
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