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Sql Data Engineer Jobs in California (NOW HIRING)

Pediatric Associates

Data Engineer

San Pedro, CA · On-site

$116K - $140K/yr

The Data Engineer is responsible for implementing reliable, scalable data pipelines that support ... Develop efficient, well-structured SQL queries and data transformation logic to support analytics ...

Pediatric Associates

Data Engineer

San Pedro, CA · On-site

$116K - $140K/yr

The Data Engineer is responsible for implementing reliable, scalable data pipelines that support ... Develop efficient, well-structured SQL queries and data transformation logic to support analytics ...

WME Group

Senior Data Engineer

Beverly Hills, CA · On-site

$122K - $166K/yr

It brings deep SQL and SQL Server expertise, works within the enterprise data architecture ... Uses AI tooling fluently in data engineering, and builds the trusted data foundation the AI ...

Wmeimg

Senior Data Engineer

Beverly Hills, CA

$122K - $166K/yr

It brings deep SQL and SQL Server expertise, works within the enterprise data architecture ... Uses AI tooling fluently in data engineering, and builds the trusted data foundation the AI ...

Booz Allen Hamilton, Inc.

Data Engineer

San Diego, CA · On-site

$61K - $141K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ... Experience writing software in programming languages, including Python, SQL, R, Javascript, or C+

Booz Allen Hamilton

Data Engineer

San Diego, CA · On-site

$61K - $141K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ... Experience writing software in programming languages, including Python, SQL, R, Javascript, or C+

Booz Allen Hamilton

Data Engineer

San Diego, CA · On-site

$61K - $141K/yr

As a data engineer, you know that organizing data can yield pivotal insights when it's gathered ... Experience writing sof tware in programming languages, including Python, SQL, R, Javascript, or C+

Booz Allen Hamilton

Data Engineer

San Diego, CA

$62K - $141K/yr

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ... Knowledge of relational and non-relational database technologies, including SQL or GraphQL

Medinext Global LLC

Data Engineer

California City, CA · On-site

$140K - $168K/yr

Advanced SQL * Complex SQL Queries * SQL Query Optimization * Performance Tuning * Python * Data Engineering * Automation Scripting * Data Modeling * Dimensional Modeling * Normalization * Data ...

Nastech Global

Data Engineer

Sunnyvale, CA · On-site

$134K - $161K/yr

Data Engineer(SQl, Python) Location: Sunnyvale, CA (onsite) Job Type: full time Must Have Technical/Functional Skills * 8+ years of professional experience in data engineering or backend data ...

Paramount

Data Engineer Data Pipelines and ETL

Burbank, CA · On-site

$121K - $146K/yr

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 ...

Centstone

Data Engineer

Sunnyvale, CA · On-site

$75 - $85/hr

Data Engineer Location: Sunnyvale, California (Onsite) Contract: 6 -12+ Months Experience: 12 - 15 ... The ideal candidate will have strong expertise in Snowflake, SQL, ETL, DBT, Tableau, Python, and ...

DPP Tech, Inc.

Data Engineer

San Francisco, CA · On-site

$134K - $162K/yr

The ideal candidate should have hands-on experience with BigQuery, Apache Airflow, SQL, DBT (Data Build Tool), and Google Cloud Platform services . Required Skills * 5+ years (Developer) / 6-10 years ...

Dlapiper

Data Engineer

Palo Alto, CA

$134K - $161K/yr

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 ...

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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 data 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:

What are popular job titles related to Sql Data Engineer jobs in California?

For Sql Data Engineer jobs in California, the most frequently searched job titles are:

What job categories do people searching Sql Data Engineer jobs in California look for?

The top searched job categories for Sql Data Engineer jobs in California are:

Sql Data Engineer jobs near you
Infographic showing various Sql Data Engineer job openings in California as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 2% Temporary, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $128,018 per year, or $61.5 per hour.

Data Engineer

Pediatric Associates

San Pedro, CA • On-site

$116K - $140K/yr

Full-time

Re-posted 9 days ago

Job description

PRIMARY FUNCTION:
The Data Engineer is responsible for implementing reliable, scalable data pipelines that support enterprise-wide data needs. This role requires expertise in data analysis, data modeling, and the design of ELT pipelines that enable efficient data integration and analytics.
The Data Engineer collaborates with data analysts, data scientists, product managers, and business stakeholders to gather requirements and deliver scalable data solutions. This role is responsible for designing, developing, and maintaining data pipelines, supporting data modeling and transformation efforts, and ensuring the reliability, quality, and performance of data assets. The Data Engineer is expected to communicate technical concepts effectively and contribute to data engineering best practices across the organization.
ESSENTIAL DUTIES AND RESPONSIBILITIES
This list may not include all of the duties that may be assigned.
  1. Design, build, and maintain scalable, reliable ELT/ETL pipelines using modern data engineering tools and frameworks.
  1. Develop and maintain data models, schemas, and data structures to support analytical and operational reporting needs.
  1. Create and maintain logical and physical data models following established data modeling standards and best practices.
  1. Collaborate with cross-functional teams to understand business requirements and deliver high-quality data solutions.
  1. Participate in technical discussions, solution design, and implementation activities across data engineering projects.
  1. Implement and maintain data quality checks, validation rules, and monitoring processes to ensure data accuracy, consistency, completeness, and reliability.
  1. Develop efficient, well-structured SQL queries and data transformation logic to support analytics, reporting, and operational processes.
  1. Monitor, troubleshoot, and optimize data pipelines for performance, reliability, and cost efficiency.
  1. Ensure compliance with data security, governance, and regulatory requirements across cloud and on-premise data platforms.
  1. Communicate technical concepts, project status, and data-related issues effectively to team members and business stakeholders.

QUALIFICATIONS
EDUCATION: Bachelor's degree in related field required. Master's degree preferred.
EXPERIENCE:
  • 3-5 years of experience in data engineering or a related field required.
  • Strong proficiency in SQL and experience with data transformation tools (e.g., Azure Data Factory, Apache Spark, Glue) required.
  • Experience developing and maintaining ELT/ETL pipelines in cloud environments (AWS, Azure, or GCP) required.
  • Good understanding of data modeling concepts, including dimensional modeling, star schema design, and normalization required.
  • Hands-on experience with modern data warehousing platforms, preferably Databricks, Snowflake, or Azure Synapse required.
  • Strong programming skills in Python or another modern scripting language required.
  • Experience troubleshooting and optimizing data pipelines for performance, reliability, and scalability preferred.
  • Familiarity with data quality, data governance, and security best practices preferred.

KNOWLEDGE, SKILLS AND ABILITIES
  • Ability to understand business requirements and translate them into effective data solutions.
  • Strong analytical and problem-solving skills with attention to detail.
  • Effective verbal and written communication skills.
  • Ability to collaborate with cross-functional teams and stakeholders.
  • Proficiency in SQL, data analysis, and data transformation techniques.
  • Experience working with cloud-based data platforms and modern data engineering tools.
  • Knowledge of data modeling concepts, data warehousing principles, and ETL/ELT best practices.
  • Familiarity with data quality, data governance, and data security practices.
  • Proficient in building Power BI data models and developing dashboards and reports.
  • Ability to manage multiple priorities and work effectively in a fast-paced environment.

TYPICAL WORKING CONDITIONS
  • Full time remote/telework

OTHER PHYSICAL REQUIREMENTS
  • Vision
  • Sense of sound
  • Sense of touch

PERFORMANCE REQUIREMENTS
Adhere to all organizational information security policies and protect all sensitive information including but not limited to ePHI and PHI (Protected Health Information) in accordance with organizational policy, Federal, State, and local regulations.

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