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Contract Data Engineering Jobs in Berkeley, CA (NOW HIRING)

The Data Engineering team at Albertsons is looking for people who are excited about reimagining the ... contracts, and domain ownership -- while overseeing feature stores, vector databases, and RAG ...

Software Engineer, Data Engineering

San Francisco, CA ยท On-site +1

$134K - $162K/yr

This role supports Core Engineering needs within the organization and builds on top of existing ... Ensure data quality, contracts and integrity with best practices around access, governance, and ...

Sr. AWS Data Engineer

San Francisco, CA ยท On-site

$134K - $162K/yr

Contract Role Summary We are seeking a highly skilled AWS Data Engineering Lead with strong hands-on experience in building scalable data platforms on AWS. The ideal candidate will lead data ...

Data Engineer - Finance

San Francisco, CA ยท On-site

$60 - $85/hr

Duration: 6-month contract with potential extension * Work Arrangement: Full-time, Onsite * Locations: San Francisco, CA / New York, NY / Bellevue, WA Note: This is a hands-on data engineering ...

Data Engineer - Finance

San Francisco, CA ยท On-site

$60 - $85/hr

Duration: 6-month contract with potential extension * Work Arrangement: Full-time, Onsite * Locations: San Francisco, CA / New York, NY / Bellevue, WA Note: This is a hands-on data engineering ...

Role : Data Engineer

Fremont, CA ยท On-site

$125K - $151K/yr

... contract with Pacific Gas and Electric. The role involves data modeling, data warehousing, and building ETL pipelines, requiring extensive experience in data engineering and related technologies.

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Contract Data Engineering information

See Berkeley, CA salary details

$54.5K

$158.8K

$217.3K

How much do contract data engineering jobs pay per year?

As of Aug 22, 2026, the average yearly pay for contract data engineering in Berkeley, CA is $158,830.00, according to ZipRecruiter salary data. Most workers in this role earn between $140,200.00 and $168,400.00 per year, depending on experience, location, and employer.

What is contract data engineering?

Contract data engineering refers to hiring data engineers on a temporary or project basis, rather than as full-time employees. Contract data engineers are responsible for designing, building, and maintaining data pipelines, databases, and other infrastructure to support data analytics and business needs. Companies often hire contract data engineers to handle specific projects, scale up teams quickly, or bring in specialized skills for a limited time. This arrangement offers flexibility for both the company and the engineer, and is common in industries with fluctuating data workloads or short-term projects.

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

To thrive as a Contract Data Engineer, you need strong proficiency in data modeling, ETL processes, and programming languages such as Python or SQL, often supported by a degree in computer science or a related field. Familiarity with big data platforms (e.g., Hadoop, Spark), cloud services (AWS, Azure, GCP), and relevant certifications like Google Cloud Professional Data Engineer are typically required. Excellent problem-solving, adaptability, and effective communication are crucial soft skills in this role. These competencies enable efficient project delivery, seamless collaboration with stakeholders, and the ability to quickly adapt to new technical environments and client requirements.

What are some common challenges faced by contract data engineers and how can they be addressed?

Contract data engineers often face the challenge of quickly familiarizing themselves with a company's existing data infrastructure and processes. Since contracts are typically short-term, there is limited time to onboard, understand unique data pipelines, and build relationships with stakeholders. To address this, successful contract data engineers proactively communicate with team members, document their work thoroughly, and leverage their prior experience with a variety of tools and platforms. Flexibility and strong problem-solving skills are essential for adapting to new environments and delivering results efficiently.

What is the difference between Contract Data Engineering vs Data Analyst?

AspectContract Data EngineeringData Analyst
Required SkillsSQL, Python, ETL, cloud platforms, data pipeline developmentSQL, Excel, data visualization, reporting tools
Work EnvironmentProject-based, technical teams, cloud or on-premises infrastructureBusiness units, reporting teams, often in office or remote
Industry UsageTech, finance, healthcare, retailMarketing, finance, healthcare, retail

Contract Data Engineers focus on building and maintaining data pipelines and infrastructure, requiring technical skills in programming and cloud platforms. Data Analysts interpret data, create reports, and visualize insights, often using different tools. While both roles work with data, Contract Data Engineering is more technical and infrastructure-oriented, whereas Data Analysts focus on data interpretation and business insights.

What are the most commonly searched types of Data Engineering jobs in Berkeley, CA?

The most popular types of Data Engineering jobs in Berkeley, CA are:

What are popular job titles related to Contract Data Engineering jobs in Berkeley, CA?

For Contract Data Engineering jobs in Berkeley, CA, the most frequently searched job titles are:

What job categories do people searching Contract Data Engineering jobs in Berkeley, CA look for?

The top searched job categories for Contract Data Engineering jobs in Berkeley, CA are:

What cities near Berkeley, CA are hiring for Contract Data Engineering jobs?

Cities near Berkeley, CA with the most Contract Data Engineering job openings:

Staff Software Engineer, Data Engineering

Unchain Data

San Francisco, CA โ€ข On-site

$208 - $260/hr

Other

Retirement, PTO

Posted 4 days ago


Job description

The Role

As a Staff Software Engineer on the Data Engineering team, you set the technical direction for the Caspian Data Platform โ€” Ripple's centralized lakehouse powering analytics, financial reporting, product intelligence, and dataโ€‘driven operations across every business unit. You own the architecture for ingestion, transformation, governance, and data quality across the platform, and you stay deep in the code while you do it. You are the bar raiser for the team: the engineer who sets the standard for how data is built at Ripple, and the others learn from working alongside you.

Responsibilities
  • Lead the design of the core pillars of the platform โ€” ingestion, transformation, governance, and data quality โ€” and build the most critical components yourself.
  • Define the engineering patterns and reference architectures for Databricks pipelines, and stay handsโ€‘on shipping production flows, writing the reference implementations, and prototyping the hard parts before the team scales them.
  • Establish the benchmark for data quality and governance โ€” expectations, data contracts, lineage, validation frameworks โ€” and hold the team to it through building and code review.
  • Lead the most complex, ambiguous initiatives that span multiple quarters and teams, from problem statement to delivered capability.
  • Lead the technical direction for applying AI across data engineering. This includes agentic systems for pipeline operations, automated transformation generation, and selfโ€‘serve analytics interfaces. Develop the first versions yourself.
  • Act as the quality standard bearer: raise code quality, build rigor, and engineering judgment across the team, and mentor senior engineers into greater ownership.
Requirements
  • 10+ years of data engineering experience, with a strong track record of architecting and operating data platforms at scale โ€” while remaining deeply handsโ€‘on.
  • Deep mastery of Databricks โ€” Delta Live Tables, Unity Catalog, Delta Lake, and Spark โ€” with the judgment to make platformโ€‘level decisions and the skill to implement them.
  • Demonstrated ownership of ingestion, transformation, governance, and data quality across a production platform.
  • Expert in SQL and Python, applied to complex data modeling, transformation, and platform tooling.
  • Strong AWS experience operating data systems at scale.
  • A history of being the technical bar raiser โ€” setting standards and patterns that other engineers build on, and lifting the quality of everyone around you.
  • Experience driving AI tooling into data engineering workflows โ€” building agentic systems, integrating LLMs into developer workflows, or enabling conversational analytics.
  • The ability to influence through technical credibility and translate tradeoffs for both engineers and leadership.
Compensation

For positions that will be based in CA, the annual salary range for this position is $208,000 USD - $260,000 USD. Actual salaries may vary based on numerous factors including, among other things, an individual applicant's experience and qualifications for the position. This range does not include equity or additional compensation, such as bonuses or commissions.

Benefits

Do Your Best Work

  • The opportunity to build in a fastโ€‘paced startโ€‘up environment with experienced industry leaders
  • A learning environment where you can dive deep into the latest technologies and make an impact. A professional development budget to support other modes of learning.
  • Thrive in an environment where no matter what race, ethnicity, gender, origin, or culture you identify with, every employee is a respected, valued, and empowered part of the team.
  • Inโ€‘office collaboration for moments that matter is important to our culture, and we give managers and teams the flexibility to decide which 10+ days a month they come in.
  • Biโ€‘weekly allโ€‘company meeting - business updates and ask me anything style discussion with our Leadership Team
  • We come together for moments that matter which include team offsites, team bonding activities, happy hours and more!

Take Control of Your Finances

  • Competitive salary, bonuses, and equity
  • Competitive benefits that cover physical and mental healthcare, retirement, family forming, and family support
  • Employee giving match
  • Mobile phone stipend

Take Care of Yourself

  • R&R days so you can rest and recharge
  • Generous wellness reimbursement and weekly onsite & virtual programming
  • Generous vacation policy - work with your manager to take time off when you need it
  • Industryโ€‘leading parental leave policies. Family planning benefits.
  • Catered lunches, fully stocked kitchens with premium snacks/beverages, and plenty of fun events

Benefits listed above are for fullโ€‘time employees.

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