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Sql Data Engineer Jobs in California (NOW HIRING)

Data Engineer

San Diego, CA · On-site

$121K - $146K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

In current initiatives, data engineering includes consolidating data from multiple sources into a central SQL-based integration point and performing field mapping and transformations, so solution ...

Data Engineer

Tracy, CA · On-site

$123K - $148K/yr

Data Engineer Duties: Apply proven expertise and build high-performance, scalable data warehouse ... SCRIPTING SQL APACHE HADOOP MAPREDUCE DATA MODELS DATA QUALITY DATA WAREHOUSE DATABASE DATABASES ...

Data Engineer

Los Angeles, CA · On-site

$123K - $148K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

In current initiatives, data engineering includes consolidating data from multiple sources into a central SQL-based integration point and performing field mapping and transformations, so solution ...

Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

In current initiatives, data engineering includes consolidating data from multiple sources into a central SQL-based integration point and performing field mapping and transformations, so solution ...

Data Engineer

Pleasanton, CA · On-site

$127K - $152K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Role Overview We are seeking a Data Engineer with experience in Databricks on Microsoft Azure to ... Analyze existing Oracle SQL and PL/SQL ETL processes and migrate them to Databricks using Spark SQL ...

Role : Data Engineer

Fremont, CA · On-site

$125K - $151K/yr

Info Way Solutions is seeking a Data Engineer for a long-term contract with Pacific Gas and ... with SQL and knowledge of NOSQL • Coding proficiency in one or more programming languages (eg ...

Data Engineer

Fremont, CA · On-site

$125K - $151K/yr

The role involves utilizing skills in SQL and Python within the banking or finance domain. Qualifications : Required : • 8-10 Years of experience • Skills: Data Engineer • Skills: SQL • ...

Data Engineer Data Pipelines and ETL

Burbank, CA

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Write optimized, production-grade SQL for large-scale analytics workloads. Contribute to query ... Programming & ML Data Integration Proficiency in Python (or similar language) for data processing ...

Data Engineer

Los Angeles, CA · On-site

$123K - $148K/yr

  • PTO

The ideal candidate brings strong fundamentals in SQL and Python; and is eager to deepen their data engineering expertise in a fast-paced, regulated environment. Essential Duties and Responsibilities

Data Engineer Data Pipelines and ETL

Burbank, CA · On-site

$122K - $147K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Write optimized, production-grade SQL for large-scale analytics workloads. * Contribute to query ... Programming & ML Data Integration * Proficiency in Python (or similar language) for data processing ...

New

Data Engineer Data Pipelines and ETL

San Francisco, CA · On-site

$134K - $161K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Write optimized, production-grade SQL for large-scale analytics workloads. * Contribute to query ... Programming & ML Data Integration * Proficiency in Python (or similar language) for data processing ...

Data Engineer Data Pipelines and ETL

Burbank, CA · On-site

$121K - $146K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Write optimized, production-grade SQL for large-scale analytics workloads. * Contribute to query ... Programming & ML Data Integration * Proficiency in Python (or similar language) for data processing ...

Showing results 21-40

Sql Data Engineer information

See California salary details

$43.9K

$128K

$175.2K

How much do sql data engineer jobs pay per year?

As of Aug 17, 2026, the average yearly pay for sql data engineer in California is $128,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,000.00 and $135,700.00 per year, depending on experience, location, and employer.

What is a SQL data engineer?

A SQL Data Engineer designs, develops, and maintains data systems, ensuring efficient storage, processing, and retrieval of structured data. They work with SQL databases, ETL pipelines, and data warehousing solutions to support analytics and business intelligence. Their responsibilities include writing complex SQL queries, optimizing database performance, and ensuring data integrity. SQL Data Engineers collaborate with data analysts, data scientists, and software developers to deliver reliable data solutions that drive business insights.

What does a SQL data engineer do?

A typical day for a SQL Data Engineer involves designing and maintaining databases, writing and optimizing complex SQL queries, and developing ETL (Extract, Transform, Load) processes to ensure seamless flow of data across systems. You'll often collaborate with data analysts, software engineers, and business stakeholders to address data needs and support analytical reporting. Regular tasks may include troubleshooting performance issues, ensuring data quality, and implementing security best practices. The work is both collaborative and independent, offering a balanced mix of teamwork and focused problem-solving.

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

To thrive as a SQL Data Engineer, you need strong expertise in database design, SQL programming, data modeling, and ETL processes, typically supported by a degree in computer science or related field. Familiarity with database management systems like Microsoft SQL Server, Oracle, or MySQL, and certifications such as Microsoft Certified: Azure Data Engineer Associate, are highly valued. Excellent problem-solving skills, attention to detail, and the ability to communicate technical concepts clearly are important soft skills in this position. These qualifications ensure you can efficiently build, optimize, and maintain data infrastructure critical for data-driven decision-making.

Do SQL data engineers work with SQL?

Yes, SQL data engineers work extensively with SQL to design, develop, and maintain databases and data pipelines. Proficiency in SQL is essential for querying, transforming, and managing data efficiently in their role.

Is SQL in demand in 2026?

SQL Data Engineers are expected to remain in high demand through 2026 due to the continued growth of data-driven decision making and the need for efficient database management. Skills in SQL, along with knowledge of cloud platforms and data warehousing tools, will enhance job prospects in this field.

What are the most commonly searched types of Sql Data Engineer jobs in California?

The most popular types of Sql Data Engineer jobs in California are:

Infographic showing various Sql Data Engineer job openings in California as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $128,018 per year, or $61.5 per hour.

Data Engineer

Dlapiper

San Diego, CA • On-site

$121K - $146K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 14 days ago


Job description

DLA Piper is, at its core, bold, exceptional, collaborative and supportive. Our people are the backbone, heart and soul of our firm. Wherever you are in your professional journey, DLA Piper is a place you can engage in meaningful work and grow your career. Let's see what we can achieve. Together.

Summary

The Data Engineer, Solutions & Data role designs, builds, and operates data pipelines and data integration processes that translate raw data into trusted, usable datasets for analytics, reporting, and downstream solutions. The role focuses on operationalizing pipelines with governance and service expectations (SLAs), improving data quality and reusability, and enabling secure access to integrated data in support of business initiatives. In current initiatives, data engineering includes consolidating data from multiple sources into a central SQL-based integration point and performing field mapping and transformations, so solution teams can consume data consistently.

Location

This position can sit in any of our U.S. offices and offers a hybrid work schedule.


Responsibilities

Data Pipeline Engineering & Integration

  • Build and operationalize data pipelines across heterogeneous environments, aligning to governance principles and service expectations (SLAs).

  • Build and maintain ingestion, transformation, and publication of pipelines (data engineering practice) to deliver analytics-ready data.

  • Consolidate data from multiple sources into a centralized integration point (e.g., a single SQL Server instance) and manage field mappings and transformations to support consistent downstream consumption.

Data Platform & Storage

  • Design and implement data pipelines using Azure data technologies (e.g., Azure Data Factory, Azure Databricks, Azure Event Hubs, SSIS) to ingest, process, and deliver data from sources such as APIs and other systems.

  • Build and maintain data warehousing capabilities (e.g., Azure Synapse Analytics) to support analytics and reporting workloads.

Data Quality, Reliability & Operations

  • Identify, troubleshoot, and resolve data issues including data quality, integrity, latency, and security concerns; apply monitoring and operational best practices to keep pipelines reliable and performant.

  • Contribute to data quality and governance practices, including profiling datasets, defining quality rules, and establishing monitoring/remediation approaches.

Collaboration & Delivery (Agile Pod Model)

  • Work cross-functionally with engineers, analysts, and stakeholders to understand requirements and deliver data solutions that support sprint-based delivery.

  • Support pod-level delivery by producing reusable data assets and integration components that can be leveraged across multiple initiatives.

Desired Skills

  • Proficiency in SQL and Python.

  • Data pipeline tooling and cloud data services experience (Azure Data Factory, Azure Databricks, Azure Event Hubs, SSIS).

  • Data warehousing experience (Azure Synapse Analytics) and strong fundamentals in data modeling, warehousing, and governance.

  • Scripting/automation skills (PowerShell and related tooling) for platform operations and troubleshooting.

  • Preferred experience includes familiarity with additional programming languages such as Java, Scala, or Go; experience integrating data from multiple enterprise source systems into a central SQL-based integration layer; and familiarity with DataOps concepts and operating in cross-functional teams that include data engineering personas.

  • The measures of success for this role include delivering data pipelines with trusted, quality data with agreed service levels, enabling faster onboarding of new data and more consistent analytics/AI consumption and creating reduced manual effort through reusable integrations and standardized transformations, improved data reliability and operational readiness.


Minimum Education

  • High School or GED


Preferred Education

  • Bachelor's Degree in Computer Science, Engineering, or related field.


Minimum Years of Experience

  • 3 years of experience in data engineering and/or data platform engineering (pipelines, integration, and operational support).


Essential Job Expectations

While the specific job requirements of a DLA Piper position may vary depending upon scope of the job and area of specialty, there are certain universal requirements that are expected of all DLA Piper employees, which include but are not limited to:

  • Effectively communicate, verbally and in writing, with clients, lawyers, business professionals, and third parties;

  • Produce deliverables, answer phone calls, and reply to correspondence in an efficient and responsive manner;

  • Provide timely, accurate, and quality work product;

  • Successfully meet deadlines, expectations, and perform work duties as required;

  • Foster positive work relationships;

  • Comply with all firm policies and practices;

  • Engage in both physical and sedentary activity, such as (a) working at a computer for extended periods of time, including on-screen reading and typing; (b) participating in digital/virtual conference calls; (c) participating in meetings as needed;

  • Ability to work under pressure and manage competing demands in a fast-paced environment;

  • Perform all other duties, tasks or projects as assigned.

Our employees are expected to embrace and uphold our firm values as a part of our DLA Piper culture. We are committed to excellence in how we represent our clients and develop our people.

Physical Demands

Sedentary work: Exerting up to 10 pounds of force occasionally and/or a negligible amount of force frequently or constantly to lift, carry, push, pull or otherwise move objects, including the human body. Sedentary work involves sitting most of the time. Jobs are sedentary if walking and standing are required only occasionally and all other sedentary criteria are met.


Work Environment

The individual selected for this position may have the opportunity for a hybrid work arrangement comprised of remote and in-office work, the requirement for which will be determined in coordination with the hiring manager or supervisor and may be modified in the firm's discretion in the future.
Disclaimer

The purpose of this job description is to provide a concise statement of the work elements and to organize and present the information in a standardized way. It is not intended to describe all the elements of the work that may be performed by every individual in this classification, nor should it serve as the sole criteria for personnel decisions and actions. The job duties, requirements, and expectations for this position may be modified at the Firm's discretion at any time. This job description does not change the at-will nature of employment.

Application Process

Applicants must apply directly online instead of sending application materials via email.

Accommodation

Reasonable accommodations may be made upon request to permit individuals with a disability to perform the essential functions and responsibilities of the position or to participate in the job selection process. If you have a request for an accommodation during the application process, please contact careers@us.dlapiper.com.

Agency applications will not be considered.

No immigration sponsorship is available for this position.


The firm's expected hiring range for this position is $100,787 - $160,255 depending on the candidate's geographic market location.

The compensation offered for employment will also be dependent on other factors including the candidate's experience, skills, educational and professional background, and overall qualifications. We offer a comprehensive package of benefits including medical/dental/vision insurance, and 401(k).

Applicants who are not based in the jurisdiction in which this position is posted and who apply for this role are doing so voluntarily and are not eligible for relocation assistance. Any relocation benefits, if any, are provided only where a relocation is required at the firm's direction and in accordance with applicable policy and law.

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DLA Piper is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.Job applicant poster viewing center.