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Data Engineer Jobs in Rancho Cordova, CA (NOW HIRING)

GEI Consultants

Data Engineer

Rancho Cordova, CA

$90K - $150K/yr

The Data Engineer is responsible for designing, building, and maintaining the data pipelines and integrations that power GEI's AI solutions and digital initiatives. This role focuses on ensuring ...

GEI Consultants

Data Engineer

Rancho Cordova, CA · On-site

$122K - $146K/yr

The Data Engineer is responsible for designing, building, and maintaining the data pipelines and integrations that power GEI's AI solutions and digital initiatives. This role focuses on ensuring ...

GEI Consultants, Inc.

Data Engineer

Rancho Cordova, CA · On-site

$124K - $148K/yr

The Data Engineer is responsible for designing, building, and maintaining the data pipelines and integrations that power GEI's AI solutions and digital initiatives. This role focuses on ensuring ...

Sakata Seed America, INC.

Data Engineer

Woodland, CA · On-site

$110K - $125K/yr

The Data Engineer will design ETL/ELT workflows, manage lakehouse, warehouse, and database assets, optimize performance, enforce data quality standards, and support secure, governed access to ...

Elve Inc

Data Engineer

Davis, CA · On-site

$85K - $150K/yr

The Data Engineer will design and deploy data pipelines and databases, statistical analysis tools, and AI-enabled automation of data collection, processing, and interpretation to increase throughput ...

Elve Inc

Data Engineer

Davis, CA

$85K - $150K/yr

The Data Engineer will design and deploy data pipelines and databases, statistical analysis tools, and AI-enabled automation of data collection, processing, and interpretation to increase throughput ...

Elve Inc

Data Engineer

Davis, CA · On-site

$85K - $150K/yr

The Data Engineer will design and deploy data pipelines and databases, statistical analysis tools, and AI-enabled automation of data collection, processing, and interpretation to increase throughput ...

Bespoke Labs

Data Engineer

Sacramento, CA · On-site

$122K - $146K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Pwc

Data Engineer - Manager

Sacramento, CA · On-site

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

Pwc

Data Engineer - Senior Manager

Sacramento, CA

$124K - $280K/yr

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

Pwc

Data Engineer - Senior Associate

Sacramento, CA · On-site

$77K - $202K/yr

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

Accenture

Google Senior Data Engineer

Sacramento, CA · On-site

$94K - $266K/yr

You Are A hands-on Engineer with foundational experience in Data Engineering, Analytics, or Machine Learning-now building deep expertise in Google Cloud Platform (GCP). You are eager to apply ...

Cradle-to-Career

Senior Data Engineer

Sacramento, CA · On-site

$9.5K - $12K/mo

We are hiring a Senior Data Engineer (SDE) to lead the development of data pipelines to ingest, cleanse, transform, and integrate into the Cradle-to-Career Data System. The incumbent will ensure data ...

New

Deloitte

Databricks Data Engineering Manager

Sacramento, CA

$122K - $146K/yr

Work you'll do As a Lead Data Engineer II in our AI & Data practice, you will leverage your extensive real-world experience to lead the delivery of transformative data and AI programs for our clients ...

Capio Group

Data Engineer/Lead Developer

Sacramento, CA · On-site

$135K - $145K/yr

Capio Group is looking for an experienced Data Engineer/Lead Developer! Full-time employee - Sacramento Salary: $135,000 - $145,000 About Us: Capio Group is a California-based Information Technology ...

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All JobsData Engineer JobsData Engineer Jobs in Rancho Cordova, CA

Data Engineer information

See Rancho Cordova, CA salary details

$47.5K

$138.4K

$189.4K

How much do data engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for data engineer in Rancho Cordova, CA is $138,377.00, according to ZipRecruiter salary data. Most workers in this role earn between $122,100.00 and $146,700.00 per year, depending on experience, location, and employer.

What is a data engineer?

Data Engineers are IT professionals who design, construct, install, and maintain large-scale processing systems and other infrastructure for collecting, storing, and analyzing data. They build and optimize data pipelines and architectures that allow organizations to efficiently access and use data for business insights. Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure that data is reliable, accessible, and secure. Their responsibilities often include working with databases, cloud platforms, and big data tools.

What are the key skills and qualifications needed to thrive as a data engineer, and why are they important?

To thrive as a Data Engineer, you need a strong background in computer science, data modeling, and programming languages such as Python or Java, often coupled with a relevant degree. Familiarity with ETL tools, big data frameworks (like Hadoop or Spark), and cloud platforms (such as AWS or Azure) is typically required, along with certifications like AWS Certified Data Analytics. Strong problem-solving skills, attention to detail, and effective communication set exceptional data engineers apart. These skills and qualities are essential for building robust data pipelines, ensuring data quality, and supporting data-driven decision-making across organizations.

What does a data engineer do?

The job duties of a data engineer involve helping with the development of systems, software, and infrastructure used to process, store and analyze data. Your responsibilities in this career include working to install data management software. Your employer may expect you to perform maintenance and install updates to all software and systems that they use for data acquisition, management, and analysis. Data engineers also analyze existing data systems to find ways to improve efficiency and accessibility. You then suggest upgrades or changes based on your assessment.

How do data engineers typically collaborate with data scientists and analysts within an organization?

Data Engineers play a crucial role in ensuring that Data Scientists and Analysts have reliable, well-structured data for their projects. This collaboration often involves building and maintaining data pipelines, optimizing data storage solutions, and troubleshooting data quality issues. Regular communication and agile teamwork are common, with Data Engineers frequently participating in meetings to understand analytical requirements and adjust data processes accordingly. By working closely together, these teams can quickly iterate on data models and deliver actionable insights to drive business decisions.

What is the difference between Data Engineer vs Data Scientist?

AspectData EngineerData Scientist
Primary FocusBuilding and maintaining data pipelines and infrastructureAnalyzing data to extract insights and create models
SkillsSQL, ETL, programming (Python, Java), database managementStatistics, machine learning, data analysis, programming (Python, R)
Work EnvironmentData warehouses, cloud platforms, backend systemsData analysis environments, research labs, visualization tools
Common ToolsApache Spark, Hadoop, Airflow, SQLJupyter, RStudio, Tableau, scikit-learn

Data Engineers focus on creating and maintaining the infrastructure that allows data to be collected, stored, and processed efficiently. Data Scientists analyze this data to generate insights, build predictive models, and support decision-making. While their skills overlap, Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

Is a data engineer entry level?

Data engineering is typically an intermediate to senior-level role that requires experience with programming, databases, and data pipeline tools. Entry-level positions may be available for those with relevant internships or strong foundational skills, but most data engineering roles demand several years of experience or advanced knowledge of tools like SQL, Python, and cloud platforms.

What is the role of a data engineer?

A data engineer designs, builds, and maintains data pipelines and infrastructure to collect, process, and store large volumes of data. They work with tools like SQL, Python, and cloud platforms to ensure data is accessible and reliable for analysis and decision-making.
More about Data Engineer jobs

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The most popular types of Data Engineer jobs in Rancho Cordova, CA are:

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For Data Engineer jobs in Rancho Cordova, CA, the most frequently searched job titles are:

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The top searched job categories for Data Engineer jobs in Rancho Cordova, CA are:

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Cities near Rancho Cordova, CA with the most Data Engineer job openings:

Data Engineer jobs near you
Infographic showing various Data Engineer job openings in Rancho Cordova, CA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 14% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $138,377 per year, or $66.5 per hour.

Data Engineer

GEI Consultants

Rancho Cordova, CA

$90K - $150K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 13 days ago

GEI Consultants rating

7.6

Company rating: 7.6 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

286th of 449 rated engineering

Job description

Description

Your role at GEI. 
 
The Data Engineer is responsible for designing, building, and maintaining the data pipelines and integrations that power GEI’s AI solutions and digital initiatives. This role focuses on ensuring enterprise data is accessible, reliable, and governed so that AI capabilities can be deployed and scaled with confidence.
 
The Data Engineer plays a hands-on role by preparing and integrating the data foundations that AI solutions depend on. This includes building ingestion pipelines, managing data stores, implementing quality and governance controls, and supporting retrieval patterns such as RAG. This role works closely with AI Engineers, solution architects, and platform teams to ensure data infrastructure is production-ready, secure, and aligned with GEI standards.
 
Essential Responsibilities & Duties 
  • Design, build, and maintain data pipelines that ingest, transform, and deliver enterprise data to AI solutions and business applications.
  • Develop and manage integrations across enterprise data sources using APIs, Graph connectors, event-driven architectures, and batch/streaming patterns.
  • Build and maintain data stores and indexing infrastructure that support retrieval-augmented generation (RAG) and other AI consumption patterns.
  • Implement data quality, validation, and lineage controls to ensure accuracy and trustworthiness of data feeding AI workflows.
  • Support and optimize data models underpinning Power BI dashboards and AI-enabled analytics.
  • Collaborate with AI Engineers to define data contracts and ensure pipeline outputs meet solution requirements for schema, latency, and freshness.
  • Instrument data pipelines for monitoring, alerting, cost control, and performance optimization.
  • Implement data governance and security controls including access management, encryption, and compliance with organizational data policies.
  • Identify data-related risks and support mitigation strategies in collaboration with architecture and platform teams. 
Minimum Qualifications 
  • 4+ years of data engineering experience, with demonstrated ability to build and operate production data pipelines.
  • Proficiency in Python and SQL; experience with PySpark or Spark is strongly preferred.
  • Experience with Azure data services, including Azure Data Factory, Azure Synapse Analytics, Azure Data Lake Storage, and Azure SQL.
  • Familiarity with Azure AI Search, Cosmos DB, or similar services used to support AI retrieval and storage patterns.
  • Experience building and managing ETL/ELT pipelines with structured, semi-structured, and unstructured data sources.
  • Knowledge of data modeling, schema design, and indexing strategies for both analytical and AI workloads.
  • Familiarity with infrastructure-as-code and CI/CD practices for data pipeline deployment (e.g., Terraform, Azure DevOps).
  • Knowledge of data governance principles, including data cataloging, lineage, access control, and privacy requirements.
  • Knowledge of security best practices for data solutions, including encryption at rest and in transit, role-based access control, and private networking.
  • Experience with Databricks, including Delta Lake and Unity Catalog, is a plus.
  • Prior experience in professional services, engineering, or construction environments is a plus.
  • Azure or Databricks certifications (e.g., Azure Data Engineer Associate, Azure Solutions Architect Expert, Databricks Data Engineer Professional) are a plus. 
We are GEI. 
 
Some of the world’s most pressing problems – from climate change to sustainable development, to critical infrastructure and the future of our energy supply – need our brightest and diverse minds working together to create safer, more resilient communities for tomorrow.  
 
We are technical experts, collaborators, and entrepreneurs who draw from diverse backgrounds to solve our clients’ most complex challenges.  
 
With several offices across North America, we offer a range of engineering, science, and technical consulting services. Our range of expertise, project types, and culture make us the choice for top talent in the AEC industry. See all our office locations here.
 
Employee-owned. Employee-focused.  
 
As an employee-owned company, our employees support our flat leadership structure, have a say in how our business operates and benefit from our financial success. We are committed to employee growth with career development opportunities, competitive total rewards, a well-being program, flexible work arrangements and more.  Our company culture is driven by our 4 Cs – we are Client-Centered, Curious, Collaborative, and Community Minded – which support our focus on sustainability, safety, diversity, equity and inclusion. Get to know us better by visiting GEI’s career site here.
 
GEI’s Total Rewards Package Includes 
  • Market-Competitive Compensation, including Eligibility for an Annual Performance Bonus
  • Pay Range For This Position: $90,000.00 – $150,000.00/year
  • Comprehensive Benefits Program, including Medical, Dental, Vision, Life, Disability and More
  • Well-Being Program and Paid Parental Leave
  • Commuter Benefits
  • Hybrid Work Schedules and Cell Phone Stipends
  • GEI University (GEIU) with Continuing Education Assistance and Tuition Reimbursement
  • Connecting Conversation Program with a Focus on Professional Development and Opportunities for Advancement
  • Support and Financial Rewards for Publication Awards, Professional Dues, and Professional Licenses
  • Paid Holidays and Generous Paid Time Off Program
  • Rewards and Recognition
  • GEI-Funded Profit Sharing and 401(k)
  • Opportunity to be an Owner and Shareholder (Learn more here)
  • A Vibrant Culture that is Focused on Partnership, Sustainability, Giving Back to Our Communities and Diversity, Equity and Inclusion
  • And More…
PHYSICAL REQUIREMENTS 
WORK ENVIRONMENT 
  
  
  
Functional Demands:    
 
 
 
 
Sedentary
x 
Light
 
Medium
Other
 
 
Activity Level Throughout Workday (check one per row) 
Physical Activity Requirements
Occasional
(0-35% of day)
Frequent
(33-66% of day)
Continuous
(67-100% of day)
Not Applicable
Sitting
 
 
x 
 
Standing
 
x 
 
 
Walking
x 
 
 
 
Climbing
 
 
 
x 
Lifting (floor to waist level) (in pounds)
x 
 
 
 
Lifting (waist level and above) (in pounds)
x 
 
 
 
Carrying objects
x 
 
 
 
Push/pull
x 
 
 
 
Twisting
x 
 
 
 
Bending
x 
 
 
 
Reaching forward
x 
 
 
 
Reaching overhead
x 
 
 
 
Squat/kneel/crawl
x 
 
 
 
Wrist position deviation
 
x 
 
 
Pinching/fine motor skills
x 
 
 
 
Keyboard use/repetitive motion
 
 
x 
 
Taste or smell (taste=never)
 
 
 
x 
Talk or hear
 
 
x 
 
Accurate 20/40 
Very Accurate 20/20 
Not Applicable
Near Vision
 
x 
Far Vision
 
x 

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