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Exempt Data Engineer Jobs in California (NOW HIRING)

Data Engineer

Irvine, CA · On-site

$100 - $120/hr

Exempt Who We Are At Tillys , we're a leading specialty retailer offering casual apparel, footwear ... The Data Engineer will also help improve data quality, performance, reliability, and accessibility ...

Data Engineer

Irvine, CA · On-site

$122K - $147K/yr

Exempt Who We Are At Tillys , we're a leading specialty retailer offering casual apparel, footwear ... The Data Engineer will also help improve data quality, performance, reliability, and accessibility ...

Lead Data Engineer

Beverly Hills, CA · On-site

$180K - $250K/yr

OVERVIEW We are looking for a Lead Data Engineer to architect, build, and evolve the foundational ... exempt position. Please note that actual salaries will vary based on factors including but not ...

Data Engineer

El Segundo, CA · On-site

$120K - $153K/yr

This is a full-time, onsite, exempt position located in our El Segundo headquarters ... integration or data engineering roles (advanced degrees count towards years of experience)

Lead Data Engineer

Beverly Hills, CA · On-site

$180K - $250K/yr

OVERVIEW We are looking for a Lead Data Engineer to architect, build, and evolve the foundational ... exempt position. Please note that actual salaries will vary based on factors including but not ...

Sr. Data Engineer

Los Angeles, CA · On-site

$123K - $148K/yr

Job Title: Sr. Data Engineer Team: Engineering Location ... Onsite - Sawtelle (Between Santa Monica & West LA) Employment Type: Full-time, Salaried, Exempt ...

Sr. Data Engineer

Santa Monica, CA · On-site

$180 - $210/hr

Job Title: Sr. Data Engineer Team: Engineering Location ... Onsite-Santa Monica, CA Employment Type: Full-time, Salaried, Exempt Reports To: Head of ...

Data Engineer III

Irvine, CA · On-site

$134K - $161K/yr

Work Schedule + Benefits: * Full-time position, Exempt * Office Hours: Monday-Friday, 8:00 am-5:00 ... Minimum 5+ years' experience in a Data Engineering role. * Strong experience with enterprise ...

Data Engineer III

Irvine, CA · On-site

$134K - $161K/yr

Name: Data Engineer III Location: Irvine, CA Work Type: Full-time Department: Information ... Work Schedule + Benefits: * Full-time position, Exempt * Office Hours: Monday-Friday, 8:00 am-5:00 ...

Data Engineer III

Irvine, CA · On-site

$134 - $161/hr

... position, Exempt * Office Hours: Monday-Friday, 8:00 am-5:00 pm; occasional work outside of ... Minimum 5+ years' experience in a Data Engineering role. * Strong experience with enterprise ...

Data Engineer

El Segundo, CA · On-site

$122K - $146K/yr

About This Role Varda is seeking a Data Engineer to join our team. In this role, you will support ... This is a full-time, onsite, exempt position located in our El Segundo headquarters.

Data Engineer

El Segundo, CA · On-site

$122K - $146K/yr

About This Role Varda is seeking a Data Engineer to join our team. In this role, you will support ... This is a full-time, onsite, exempt position located in our El Segundo headquarters.

Senior Data Engineer

Long Beach, CA · On-site

$143K - $203K/yr

This will be a full-time , exempt position located in our Long Beach location. Responsibilities ... Integrate data from complex engineering systems (PLM/Teamcenter), manufacturing systems (MES/MOM ...

Senior Data Engineer

Long Beach, CA · On-site

$111K - $151K/yr

This will be a full-time , exempt position located in our Long Beach location. Responsibilities ... Integrate data from complex engineering systems (PLM/Teamcenter), manufacturing systems (MES/MOM ...

Lead Data Engineer

San Francisco, CA · On-site

$112K - $149K/yr

... Exempt / Union Represented This position allows for up to four days of remote work per week About ... Azure Data Engineer Associate; Power BI Data Analyst Associate; Azure Solutions Architect Expert ...

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Showing results 1-20

Exempt Data Engineer information

See California salary details

$43.9K

$128K

$175.2K

How much do exempt data engineer jobs pay per year?

As of Sep 6, 2026, the average yearly pay for exempt 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 an exempt data engineer?

Exempt Data Engineers are professionals responsible for designing, building, and maintaining the systems and architecture that allow organizations to collect, store, and analyze large amounts of data. The term 'exempt' refers to their employment status under labor laws, meaning they are salaried employees who are not eligible for overtime pay under the Fair Labor Standards Act (FLSA). These engineers typically work with big data technologies, databases, and programming languages to ensure data is accessible, reliable, and secure for analysis and business decision-making.

What are the key skills and qualifications needed to thrive as an exempt data engineer?

To thrive as an Exempt Data Engineer, you need strong expertise in data modeling, SQL, programming (such as Python or Java), and a relevant degree in computer science or a related field. Familiarity with big data platforms (e.g., Hadoop, Spark), cloud services (like AWS or Azure), and data pipeline tools, along with certifications such as Google Data Engineer or AWS Certified Data Analytics, is typically required. Analytical thinking, effective problem-solving, and strong collaboration skills help set top performers apart. These competencies ensure the reliable design, implementation, and management of data systems that support business intelligence and organizational decision-making.

What are some common challenges faced by exempt data engineers when integrating data from multiple sources?

Exempt Data Engineers often encounter challenges when integrating data from various sources, such as incompatible data formats, inconsistent data quality, and varying update frequencies. Addressing these issues typically requires designing robust ETL (Extract, Transform, Load) pipelines and collaborating closely with data analysts, database administrators, and source system owners. Successfully overcoming these challenges not only ensures reliable data flow but also enhances the organization's ability to make data-driven decisions. Proactive communication and thorough documentation are key practices that help streamline integration processes.

What is the difference between Exempt Data Engineer vs Data Analyst?

AspectExempt Data EngineerData Analyst
Required CredentialsBachelor's in Computer Science or related field, often certifications in data engineering toolsBachelor's in Statistics, Data Science, or related field, often certifications in analytics tools
Work EnvironmentDesigning, building, and maintaining data pipelines in tech or finance industriesInterpreting data, creating reports, and providing insights across various industries
Employer & Industry UsageUsed in companies with large data infrastructure, including tech, finance, and healthcareCommon in marketing, finance, healthcare, and retail sectors

Exempt Data Engineers focus on developing and maintaining data infrastructure, while Data Analysts interpret data to generate insights. Both roles require strong technical skills, but Data Engineers typically work more on data architecture, whereas Data Analysts focus on data analysis and reporting.

Are data engineers still in demand?

Data engineers are currently in high demand due to the increasing need for managing large data systems, building data pipelines, and supporting analytics and machine learning initiatives. Skills in cloud platforms, SQL, and programming languages like Python or Scala enhance job prospects in this field.

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

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

What cities in California are hiring for Exempt Data Engineer jobs?

Cities in California with the most Exempt Data Engineer job openings:

$100 - $120/hr

Other

Medical, Dental, Vision, Life, Retirement

Posted 8 days ago


Tillys rating

5.5

Company rating: 5.5 out of 10

Based on 105 frontline employees who took The Breakroom Quiz

71st of 105 rated fashion retailers


Job description

Location: Irvine, CA (On-site)
Department: Information Technology | Reports To: Lead Software Architect
Schedule: Full-Time | Minimum 4 Days In-Office
FLSA Status: Exempt

Who We Are

At Tillys, we’re a leading specialty retailer offering casual apparel, footwear, and accessories for young men, women, boys, and girls. Our extensive collection features iconic global brands, emerging labels, and proprietary lines, all rooted in an active and social lifestyle.

Based in sunny Southern California, our Retail Support Center (RSC) is the heart of our corporate operations, dedicated to supporting both our retail and online stores. The RSC is where strategy meets execution. From trend forecasting to tech innovation, our teams work together to bring the Tillys experience to life - both in-store and online.

Position Summary

We are seeking a Data Engineer to join our Information Technology team. Reporting to the Lead Software Architect, the Data Engineer will be responsible for designing, developing, and maintaining reliable and scalable data solutions that support business applications, reporting, analytics, and operational needs across the organization.

This position will work closely with the Lead Software Architect, software developers, business stakeholders, and other technical teams to develop data pipelines, integrations, and data structures that enable accurate and efficient movement of data across systems. The Data Engineer will also help improve data quality, performance, reliability, and accessibility while supporting the organization’s evolving data and technology architecture.

Key Responsibilities

A typical day may include:

  • 1. Design, develop, test, deploy, and maintain scalable data pipelines and data integration solutions.
  • 2. Build and maintain ETL/ELT processes to collect, transform, and integrate data from multiple internal and external sources.
  • 3. Partner with the Lead Software Architect to ensure data solutions align with established architecture, development standards, and the organization’s overall technology strategy.
  • 4. Collaborate with software developers, analysts, project managers, and business stakeholders to understand data requirements and translate business needs into effective technical solutions.
  • 5. Design and maintain data models and structures that support operational applications, reporting, analytics, and business intelligence.
  • 6. Develop and maintain integrations between enterprise applications, databases, APIs, third-party platforms, and other data sources.
  • 7. Monitor data pipelines and integrations to identify and resolve performance, reliability, and data quality issues.
  • 8. Troubleshoot complex data and integration issues and implement sustainable solutions.
  • 9. Develop automated processes for data validation, reconciliation, monitoring, and error handling.
  • 10. Ensure the accuracy, consistency, completeness, and integrity of data throughout data pipelines and integrations.
  • 11. Optimize database queries, data transformations, and pipeline performance to improve scalability and efficiency.
  • 12. Assist with the modernization of existing data processes, integrations, and platforms.
  • 13. Participate in the design and implementation of cloud-based and modern data architecture solutions.
  • 14. Support software development teams with database design, data access patterns, integrations, and application data requirements.
  • 15. Develop and maintain technical documentation, including data flows, data mappings, integration specifications, and system architecture documentation.
  • 16. Follow software development lifecycle (SDLC), source control, testing, deployment, and CI/CD best practices.
  • 17. Implement appropriate security and access controls to protect confidential and sensitive business data.
  • 18. Research and evaluate emerging data technologies, tools, and development practices and make recommendations to the Lead Software Architect.
  • 19. Develop proofs-of-concept and prototypes when evaluating new technologies or approaches.
  • 20. Identify opportunities to improve data processing, automation, scalability, reliability, and reusability across the technology environment.
  • 21. Participate in code reviews, technical design reviews, sprint planning, and other Agile development activities.
  • 22. Provide technical support and guidance related to data integrations, databases, and data engineering solutions.
  • 23. Maintain awareness of emerging technologies and industry best practices related to data engineering, cloud platforms, data architecture, and application integration.
Qualifications

Your experience brings:

  • 24. Strong understanding of data engineering concepts, relational databases, data modeling, and data integration principles.
  • 25. Proficiency with SQL and experience developing complex queries, stored procedures, and database solutions.
  • 27. Experience developing and maintaining ETL/ELT pipelines and data integration workflows.
  • 28. Understanding of cloud technologies and modern data architecture and experience working with relational and/or cloud-based databases and data platforms, including but not limited to Oracle Cloud. Experience with other cloud technologies like Snowflake, AWS, GCP, Redshift is a plus.
  • 29. Experience working with Business Intelligence platforms like Tableau, Strategy (MicroStrategy), PowerBI
  • 30. Understanding of APIs, web services, and system integration concepts.
  • 31. Knowledge of data modeling techniques and database design principles.
  • 32. Experience with at least one programming or scripting language commonly used for data engineering, such as Python, Java, C#, SSIS, or similar.
  • 33. Knowledge of data quality, governance, security, and privacy best-practices, including but not limited to handling customer and employee PII.
  • 34. Familiarity with Git source control, CI/CD, automated testing, and modern software development practices.
  • 35. Strong analytical, troubleshooting, and problem-solving skills.
  • 36. Ability to analyze business requirements and translate them into effective technical solutions.
  • 37. Excellent verbal and written communication skills with the ability to communicate technical concepts to both technical and non-technical audiences.
  • 38. Strong organizational skills and attention to detail.
  • 39. Ability to manage multiple priorities and work effectively in a fast-paced environment.
  • 40. Ability to work independently while collaborating effectively across technical and business teams.
Education & Experience
  • 41. Bachelor's degree in Computer Science, Computer Engineering, Information Systems, Software Engineering, Data Science, or a related technical field required.
  • 42. At least 3-5 years of related experience in data engineering, software development, database development, data integration, or a related technical discipline.
  • 43. Experience developing and maintaining production data pipelines and system integrations preferred.
  • 44. Experience with cloud-based data platforms and technologies preferred.
  • 45. Experience supporting enterprise applications and complex system environments preferred.
  • 46. Retail, eCommerce, merchandising, inventory, supply chain, or other high-volume transactional data experience is a plus.
Work Environment & Physical Demands
  • Professional office setting with low to moderate noise
  • Ability to sit or stand for extended periods
  • Occasionally lift/move up to 20 lbs and navigate stairs
  • Frequent walking and movement between floors/departments
  • Reasonable accommodation is available to support individuals with disabilities
Leadership & Team Development

While this is not a leadership role, we value team players who embody proactive collaboration, curiosity, accountability, and a growth mindset. Opportunities to grow and develop within the company are strongly supported.

Compensation

Annual Range: $100k - $120k/yr

Final offer will be based on experience, skills, and qualifications.

What to Expect

Schedule: Full-time role with weekday office hours; occasional evening or weekend work may be required during peak retail seasons.
Work Location: Irvine, CA - minimum of 4 days per week in-office.

Why Join Tillys?

At Tillys, we thrive in a creative, collaborative, and high-energy environment where individuality is not just accepted - it's celebrated. Whether you're brainstorming bold new campaigns or fine-tuning behind-the-scenes processes, your work makes a real impact. We foster a culture of inclusion, innovation, and recognition, where professional growth is supported, wins are celebrated, and having fun is part of the process. Join a team that values authenticity, teamwork, and always strives for excellence.

  • 401(k) Retirement Plan - Save for your future with our company-sponsored plan
  • Health Coverage - Medical, dental, vision, life, and additional voluntary benefits
  • Employee Discount - In-store and online
  • Discount Programs - Save on travel, events, and more
  • Employee Sample Sales - Major deals on favorite brands
  • Wellness & Social Events - Fitness programs, parties, and team outings
  • Weekly Office Snacks - Stay fueled with stocked treats
Equal Opportunity Employer & Fair Chance Hiring

Tillys is proud to be an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Fair Chance Hiring:
In compliance with California law, Tillys will consider qualified applicants with criminal histories in a manner consistent with the California Fair Chance Act.

Other Considerations

This job description is not intended to be all-inclusive. Duties and responsibilities may change at any time, with or without notice. Reasonable accommodation may be provided to individuals with disabilities to enable them to perform essential job functions.

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About Tillys

Sourced by ZipRecruiter

Tillys is a leading specialty retailer of casual apparel, footwear and accessories for young men, young women, boys and girls with an extensive assortment of iconic global, emerging, and proprietary brands rooted in an active and social lifestyle. Tillys is headquartered in Irvine, California and currently operates 250 total stores across 33 states.

Industry

Retail

Company size

1,001 - 5,000 Employees

Headquarters location

Irvine, CA, US

Year founded

1984

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