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Power Bi Data Engineer Jobs in Berkeley, CA (NOW HIRING)

Manage and maintain data infrastructure that powers our product and operational systems, ensuring ... Experience with Mixpanel, Tableau, or similar BI/analytics tools * Familiarity with data contract ...

New

AI Operations & GTM Engineer

San Francisco, CA · On-site

$81K - $110K/yr

We are hiring a GTM Engineer to help build the systems that power customer lifecycle reporting and ... Langfuse, Snowflake, Power BI, Slack, or BI tools. * Understanding of data modeling, data ...

Staff Data Engineer

San Francisco, CA · On-site

$186 - $221.90/hr

Support the design and delivery of data visualization and analytic tooling (Power BI, Tableau ... Mentor junior engineers and foster adoption of best practices in data architecture, version control ...

Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

Methodic is seeking a Data Engineer to design and manage data pipelines and storage solutions for ... BI dashboards, and ad-hoc analysis. • Implement ETL/ELT processes to integrate data from external ...

Senior Data & AI Platform Engineer

San Ramon, CA · On-site

$75.25 - $100.50/hr

This is a senior engineering role. You will architect, operate, and continuously improve cloud data ... Power BI or Tableau, including data modeling, security, and refresh architecture. * CI/CD ownership:

Senior Data & AI Platform Engineer

San Ramon, CA · On-site

$75.25 - $100.50/hr

This is a senior engineering role. You will architect, operate, and continuously improve cloud data ... Power BI or Tableau, including data modeling, security, and refresh architecture. * CI/CD ownership:

Data Engineer

San Francisco, CA · On-site

$180K - $200K/yr

Experience with designing data model to power a variety of use cases, including experimentation ... Experience building and owning executive-level dashboards and reports using BI tools (e.g., Looker ...

Manage and maintain data infrastructure that powers our product and operational systems, ensuring ... Experience with Mixpanel, Tableau, or similar BI/analytics tools * Familiarity with data contract ...

Manage and maintain data infrastructure that powers our product and operational systems, ensuring ... Experience with Mixpanel, Tableau, or similar BI/analytics tools * Familiarity with data contract ...

New

... DAX and Power BI optimization (e.g., incremental refresh, composite models, deployment pipelines). * Experience with data cataloging and governance tools. * Familiarity with DevOps and CI/CD ...

BI Analyst

Fremont, CA · On-site

$75K - $110K/yr

... Microsoft Power BI or similar * Partner closely with 3 or more in Supply Chain, Product Sourcing ... Collaborate with data engineering team to optimize data pipelines, ensure data quality, and improve ...

BI & Data Applications Engineer Type: Direct Hire Location: Compensation: $100,000 - $140,000 ... Power BI, Tableau, or similar platforms. * Advanced SQL skills for querying, reporting, and data ...

BI & Data Applications Engineer Type: Direct Hire Location: Compensation: $100,000 - $140,000 ... Power BI, Tableau, or similar platforms. * Advanced SQL skills for querying, reporting, and data ...

Showing results 41-60

Power Bi Data Engineer information

See Berkeley, CA salary details

$105.9K

$154.9K

$196.5K

How much do power bi data engineer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for power bi data engineer in Berkeley, CA is $154,891.00, according to ZipRecruiter salary data. Most workers in this role earn between $139,000.00 and $167,100.00 per year, depending on experience, location, and employer.

What is a Power BI data engineer?

A Power BI Data Engineer is a professional who specializes in designing, building, and managing data solutions using Microsoft Power BI and related technologies. Their primary responsibilities include data modeling, transforming raw data into insightful reports and dashboards, and ensuring data quality and security. They work closely with business analysts and stakeholders to understand data requirements and deliver actionable business intelligence. Power BI Data Engineers often utilize various data sources, integrate them with Power BI, and optimize performance for reporting and analytics.

What are the key skills and qualifications needed to thrive as a Power BI data engineer?

To thrive as a Power BI Data Engineer, you need expertise in data modeling, ETL processes, SQL, and a strong understanding of business intelligence concepts, typically backed by a degree in computer science or a related field. Proficiency in Power BI, DAX, Power Query, and experience with cloud platforms like Azure are crucial, and certifications such as Microsoft Certified: Data Analyst Associate can be advantageous. Strong analytical thinking, problem-solving, and effective communication help in translating business requirements into actionable data insights. These skills ensure the delivery of accurate, impactful dashboards and reports that drive informed decision-making within organizations.

How do Power BI data engineers typically collaborate with business analysts and stakeholders during a project?

Power BI Data Engineers work closely with business analysts and stakeholders to understand reporting needs, translate requirements into technical solutions, and ensure data models support actionable insights. They often participate in requirement-gathering sessions, clarify data sources, and provide expertise on data integration and visualization best practices. Regular communication and feedback loops are essential to ensure the final dashboards and reports meet business objectives and remain scalable for future enhancements.

What is the difference between Power Bi Data Engineer vs Power BI Developer?

AspectPower Bi Data EngineerPower BI Developer
Primary FocusBuilding data pipelines, data architecture, and integrating data sourcesCreating reports, dashboards, and visualizations for end-users
Skills & CertificationsData modeling, ETL processes, SQL, Azure Data servicesPower BI, DAX, data visualization, report design
Work EnvironmentData warehouses, backend data systems, cloud platformsBusiness units, end-user reporting, front-end visualization
Common UsageData engineering teams, BI infrastructure setupBusiness analysts, report creators, end-user support

While both roles work with Power BI, the Power Bi Data Engineer primarily focuses on data infrastructure, pipelines, and integration, whereas the Power BI Developer concentrates on designing and developing reports and dashboards for business insights.

Is Power Bi Data Engineer still in demand in 2026 and after 2026?

Power BI Data Engineers are expected to remain in demand beyond 2026 due to ongoing needs for data visualization, reporting, and analytics in organizations. As businesses increasingly rely on data-driven decision-making, skills in Power BI, data modeling, and cloud integration will continue to be valuable in the job market.

Is Power Bi Data Engineer still in demand?

Power BI Data Engineers are in high demand due to the increasing need for data visualization and analytics in organizations. Skills in data modeling, ETL processes, and proficiency with Power BI tools are valuable, and demand is expected to grow as companies prioritize data-driven decision-making.

What are popular job titles related to Power Bi Data Engineer jobs in Berkeley, CA?

For Power Bi Data Engineer jobs in Berkeley, CA, the most frequently searched job titles are:

What job categories do people searching Power Bi Data Engineer jobs in Berkeley, CA look for?

The top searched job categories for Power Bi Data Engineer jobs in Berkeley, CA are:

What cities near Berkeley, CA are hiring for Power Bi Data Engineer jobs?

Cities near Berkeley, CA with the most Power Bi Data Engineer job openings:

Data Engineer - Data Platform

Mill

San Bruno, CA

$185K - $210K/yr

Full-time

Posted 3 days ago

New


Job description

The Role

As a Data Engineer at Mill, you'll build and maintain the core data infrastructure that powers analytics and product data across the company - ingestion pipelines, warehouse modeling, data quality, and the self-serve analytics platform (Hex + Snowflake) our business teams rely on. You'll work closely with the Senior Data Engineer owning our recommendations platform, contributing to and supporting that work as needed, with the opportunity to grow into deeper recommendation/LLM-based work over time. You'll partner closely with product, engineering, data analytics, and marketing teams.

What You'll Do
  • Design, build, and maintain scalable data pipelines across Mill's product and operational systems
  • Manage and maintain data infrastructure that powers our product and operational systems, ensuring it's reliable and ready to feed external customers and downstream analytics
  • Collaborate with software engineers to instrument new product features and ensure event data flows cleanly 
  • Help build and maintain the self-serve analytics platform in Hex and Snowflake for internal business teams
  • Help maintain the metrics, table endorsements, and business logic that analysts and stakeholders rely on
  • Own data quality monitoring - build alerting, validation frameworks, and observability tooling so data issues get caught before they become business problems
What We're Looking For
  • 3-5 years of experience operating data engineering systems in production
  • Have built and operated data pipelines in production using Python, SQL, and tools like dbt, Airflow, Fivetran, or similar against a cloud data warehouse (e.g., Snowflake)
  • Have used Infrastructure as Code (e.g., Terraform, Pulumi) to provision and manage data infrastructure, with CI/CD discipline for pipeline and infra changes (automated testing, staged rollout, rollback)
  • Experience working with transactional databases (e.g., PostgreSQL, Amazon RDS) as a data source, including understanding how OLTP systems differ from warehouse/analytical workloads
  • Comfort working in a collaborative environment where data consumers are partners, not just stakeholders, and comfort moving between different types of work as priorities shift
  • A bias toward action
Nice to Have
  • Exposure to recommendation, personalization, or LLM-based product logic - not required, but a strong plus given the team's direction
  • Experience building or supporting self-serve analytics tooling (Hex, Looker, or similar)
  • Exposure to distributed systems concepts (partitioning, consistency, fault tolerance)
  • Experience with Mixpanel, Tableau, or similar BI/analytics tools
  • Familiarity with data contract or data mesh patterns, or RBAC/access governance on a warehouse
  • Experience with event tracking or product analytics

The estimated base salary range for this position is $185k to $210k, which does not include the value of benefits or a potential equity grant. A wide range of factors are considered in making compensation decisions, including but not limited to skill sets, market conditions, experience and training, licensure and certifications, and business and organizational needs.