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Weekend Data Engineering Jobs in California (NOW HIRING)

Spokeo

Data Engineering Manager

Pasadena, CA · On-site +1

$172K - $206K/yr

As a Data Engineering Manager, you will report directly to our Director of Data Engineering and lead a cross-functional team of data engineers to deliver high-quality, scalable data solutions that ...

Astrana Health

Manager - Data Engineering

Alhambra, CA · On-site +1

$140K - $160K/yr

We are seeking a highly motivated Manager - Data Engineering to join our growing team. This role will report to the Director of Data Engineering and will lead a team of data engineers. The ideal ...

Spokeo

Data Engineering Manager

Pasadena, CA · Remote

As a Data Engineering Manager, you will report directly to our Director of Data Engineering and lead a cross-functional team of data engineers to deliver high-quality, scalable data solutions that ...

Hark

Data Engineering Lead

San Jose, CA

$170K - $450K/yr

That means owning the full data engineering stack: ingestion, transformation, quality filtering, and delivery to training and evaluation systems. The models we ship are only as good as the data ...

Hark

Data Engineering Lead

San Jose, CA · On-site

$170K - $450K/yr

That means owning the full data engineering stack: ingestion, transformation, quality filtering, and delivery to training and evaluation systems. The models we ship are only as good as the data ...

Magnite

Engineer II, Data Engineering

Los Angeles, CA · Hybrid

$123K - $148K/yr

In the DV+ Data Engineering team you will work on real-world problems working on big data stack where accuracy and speed are paramount, take responsibility for your systems end-to-end and influence ...

Monks

Associate Director, Data Engineering

San Francisco, CA · On-site

$134K - $162K/yr

You will architect robust data engineering solutions and write production-level code to ensure data integrity and scalability. While this is an engineering-first role, you will also work with the ...

New

Monks

Associate Director, Data Engineering

Los Angeles, CA · On-site

$123K - $148K/yr

You will architect robust data engineering solutions and write production-level code to ensure data integrity and scalability. While this is an engineering-first role, you will also work with the ...

New

Doximity

Data Engineering Manager

San Francisco, CA · On-site +1

$172K - $254K/yr

Foremost an engineer . You exemplify high code quality and guide others, and have at least 5 years of industry experience as a data engineer or similar role. * You are experienced in creating ...

Deloitte

Databricks Data Engineering Manager

Sacramento, CA · On-site

$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 ...

Doximity

Data Engineering Manager

San Francisco, CA · On-site +1

$172K - $254K/yr

Foremost an engineer . You exemplify high code quality and guide others, and have at least 5 years of industry experience as a data engineer or similar role. * You are experienced in creating ...

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Weekend Data Engineering information

What engineers make $300,000 a year?

Senior data engineers with extensive experience, advanced skills in cloud platforms, and expertise in big data tools can earn $300,000 or more annually. High compensation often reflects leadership roles, specialized knowledge, and working in competitive industries or organizations with high data demands.

What engineers make $500,000?

Senior data engineers with extensive experience, advanced skills in big data tools, and certifications can earn $500,000 or more annually, especially in high-cost-of-living areas or within large tech companies. Achieving this level often requires expertise in cloud platforms, distributed systems, and leadership roles.

Do data engineers work on weekends?

Data engineers typically work regular business hours during weekdays, but they may work on weekends if project deadlines, system maintenance, or incident responses require it. Flexibility and availability during off-hours can be important, especially in environments with 24/7 data operations or real-time data processing needs.

What is the difference between Weekend Data Engineering vs Weekend Data Analysis?

AspectWeekend Data EngineeringWeekend Data Analysis
Required SkillsData pipeline development, SQL, Python, cloud platformsData interpretation, visualization, SQL, Excel
Work EnvironmentTechnical teams, data infrastructure projectsBusiness teams, reporting and insights
CertificationsData engineering certifications (e.g., Google Cloud, AWS)Data analysis certifications (e.g., Microsoft, Tableau)

Weekend Data Engineering focuses on building and maintaining data pipelines and infrastructure, requiring technical skills and cloud platform knowledge. In contrast, Weekend Data Analysis emphasizes interpreting data, creating reports, and providing insights, often using visualization tools. Both roles are essential in data-driven organizations but serve different functions during weekend projects or part-time work.

What jobs make $1,000,000 a year?

High-level executive roles such as CEOs, CFOs, and other C-suite positions can earn over $1 million annually, often including bonuses and stock options. Certain specialized professions like top-tier investment bankers, hedge fund managers, and successful entrepreneurs also reach this income level, typically requiring extensive experience, advanced skills, and significant responsibility.
What are the most commonly searched types of Data Engineering jobs in California? The most popular types of Data Engineering jobs in California are:
What cities in California are hiring for Weekend Data Engineering jobs? Cities in California with the most Weekend Data Engineering job openings:
Weekend Data Engineering jobs near you

Manager - Data Engineering

Astrana Health, Inc.

Alhambra, CA • On-site, Remote

$140K - $160K/yr

Full-time

Re-posted 24 days ago

Job description

Manager - Data Engineering

Department: Data - Engineering

Employment Type: Full Time

Location: 1668 S. Garfield Ave. 2nd Floor, Alhambra, CA 91801

Compensation: $140,000 - $160,000 / year


DescriptionWe are seeking a highly motivated Manager - Data Engineering to join our growing team. This role will report to the Director of Data Engineering and will lead a team of data engineers. The ideal candidate is a strong technical leader with a passion for mentoring others and delivering scalable, high-quality data solutions. You will collaborate closely with data analysts, data scientists, technology teams, and business leaders to design and implement robust data pipelines and platforms that support internal and external clients. With over a million managed lives across the country and terabytes of healthcare data generated, your leadership will be critical to empowering our organization with the tools and insights needed to drive innovation and improve patient outcomes.
Our Values:  
  • Put Patients First  
  • Empower Entrepreneurial Provider and Care Teams  
  • Operate with Integrity & Excellence  
  • Be Innovative  
  • Work As One Team  

What You\'ll Do
  • Lead and mentor a team of data engineers, fostering a culture of continuous learning, innovation, and operational excellence. 
  • Partner with cross-functional teams to design and implement scalable data pipelines and models aligned with business needs and industry best practices. 
  • Oversee the development, deployment, and maintenance of enterprise-grade ELT processes, data marts, and business intelligence assets. 
  • Own and evolve data quality frameworks, ensuring proactive monitoring, troubleshooting, and resolution of data issues. 
  • Champion the adoption of automation and modern data engineering practices, driving efficiencies in pipeline management and data delivery. 
  • Guide your team in building domain knowledge around healthcare operations, ensuring data solutions comply with regulatory and security requirements. 
  • Contribute to strategic planning for the data engineering function, including resource allocation, technology selection, and process improvement initiatives. 
  • Support and enforce software development best practices, including code reviews, source control, CI/CD, and testing. 

Qualifications
  • Bachelor’s degree required in computer science, engineering, healthcare, analytics, or a related field; Master’s degree preferred. 
  • 5+ years of experience in data engineering or software development roles, with at least 2+ years in a leadership or management capacity. 
  • 2+ years of experience with medical claims in healthcare and/or managed care. 
  • Strong expertise in building scalable ELT/ETL pipelines using modern data platforms and cloud-based services (e.g., AWS, Azure). 
  • Advanced proficiency with SQL and scripting/programming languages such as Python or Spark. 
  • Solid understanding of database structures, data modeling (normalized, star schema, snowflake), and data warehousing concepts. 
  • Experience working with Databricks or similar distributed computing platforms preferred. 
  • Familiarity with BI tools such Power BI. 
  • Deep understanding of professional software engineering practices including SDLC, version control, CI/CD, and automated testing. 
  • Strong communication and stakeholder management skills, with the ability to translate technical concepts for non-technical audiences. 
You\'re a great fit for this role if you: 
  • Thrive in a fast-paced environment and enjoy leading teams to solve complex data challenges. 
  • Are passionate about mentoring and growing the next generation of data engineering talent. 
  • Have a bias for action and a commitment to delivering high-quality solutions with measurable impact. 
  • Bring a collaborative, team-first mindset to everything you do. 

Environmental Job Requirements and Working Conditions
  • This position is remotely based in the U.S. 
  • The total compensation target pay range for this role is: $140,000 - $160,000. Actual compensation will be determined based on geographic location (current or future), experience, and other job-related factors.
Astrana Health is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. All employment is decided based on qualifications, merit, and business need. If you require assistance in applying for open positions due to a disability, please email us at humanresourcesdept@astranahealth.com to request an accommodation. 
Additional Information: The job description does not constitute an employment agreement between the employer and employee and is subject to change by the employer as the needs of the employer and requirements of the job change.

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