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Weekend Data Engineering Jobs in California (NOW HIRING)

Data Engineering

Alameda, CA · On-site

$132.80K - $159.50K/yr

Data Engineering Engineer 3 Employees in this job function are responsible for designing, building, and maintaining data solutions including data infrastructure, pipelines, etc. for collecting ...

Data Engineering

Sunnyvale, CA · On-site

$134.40K - $161.40K/yr

Collaborate with data scientists and ML engineers to integrate solutions with Vertex AI and other cloud-based AI/ML platforms. * Implement containerized solutions with Docker & Kubernetes and manage ...

Data Engineering

Sunnyvale, CA · On-site

$136.20K - $163.60K/yr

Collaborate with data scientists and ML engineers to integrate solutions with Vertex AI and other cloud-based AI/ML platforms. * Implement containerized solutions with Docker & Kubernetes and manage ...

Data Engineering, Advisor

Pomona, CA · On-site +1

$116.50K - $139.90K/yr

\u00a0 Join the Clean Energy Revolution \u00a0 Become a Data Engineering Advisor at Southern California Edison (SCE) and build a better tomorrow. In this job, you\u2019ll be responsible for developing ...

data engineering

Rosemead, CA · On-site

$117K - $140.50K/yr

Strong programming skills in Python with solid experience in SQL and PySpark. Strong understanding of data modeling, ETLELT concepts, and data governance. Excellent analytical, problem-solving, and ...

Data Engineering Manager

Pasadena, CA · On-site +1

$172.80K - $206.10K/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 ...

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 ...

Manager, Data Engineering Huntington Beach HQ Office - Huntington Beach, CA 92648 Overview Salary Range $150,000.00 - $170,000.00 Salary Data Engineering Manager INNOCEAN USA is looking for a skilled ...

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 ...

As our Data Engineering Manager, you will own the Databricks platform that underpins everything we build with data: from media measurement and campaign analytics to audience intelligence and client ...

As our Data Engineering Manager, you will own the Databricks platform that underpins everything we build with data: from media measurement and campaign analytics to audience intelligence and client ...

Data Engineering Manager Location: Palo Alto, CA - Hybrid - (Not On-site every week Mostly remote) Length: 6-12 months Start: ASAP Interview: Video Special note: This Position might reach its maximum ...

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 ...

Head of Data Engineering

San Francisco, CA · On-site +1

$134.90K - $162K/yr

Philo's Data Engineering team encompasses both data engineering and analytics engineering, and we're looking for people who are comfortable working on complex data infrastructure and modeling ...

Head of Data Engineering

San Francisco, CA · On-site

$134.90K - $162K/yr

Philo's Data Engineering team encompasses both data engineering and analytics engineering, and we're looking for people who are comfortable working on complex data infrastructure and modeling ...

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 ...

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 ...

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Showing results 1-20

Weekend Data Engineering information

Do data engineers work weekends?

Data engineers typically work standard weekday hours, but they may need to work weekends or outside regular hours to meet project deadlines, perform system maintenance, or address urgent issues. Flexibility is often required, especially in environments with 24/7 data operations or during critical system updates.

What engineering jobs pay $500,000?

Senior data engineers, especially those with extensive experience, advanced skills in cloud platforms, and expertise in big data tools, can earn salaries approaching or exceeding $500,000 annually, often including bonuses and stock options. High-level roles in technology companies or finance firms tend to offer these compensation levels for top-tier talent.

What jobs in the US pay $300,000 a year?

In data engineering, senior roles such as Lead Data Engineer or Data Engineering Manager can reach or exceed $300,000 annually, especially with extensive experience, advanced skills in cloud platforms, and certifications. High-level positions in finance, technology, and consulting also often pay this amount or more, typically requiring specialized expertise and leadership responsibilities.

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 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:

Data Engineering

Kasmo Global

Alameda, CA • On-site

$132.80K - $159.50K/yr

Other

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

Data Engineering Engineer 3

Employees in this job function are responsible for designing, building, and maintaining data solutions including data infrastructure, pipelines, etc. for collecting, storing, processing and analyzing large volumes of data efficiently and accurately.

Key Responsibilities:

  • Collaborate with business and technology stakeholders to understand current and future data requirements
  • Design, build and maintain reliable, efficient and scalable data infrastructure for data collection, storage, transformation, and analysis
  • Plan, design, build and maintain scalable data solutions including data pipelines, data models, and applications for efficient and reliable data workflow
  • Design, implement and maintain existing and future data platforms like data warehouses, data lakes, data lakehouse etc. for structured and unstructured data
  • Design and develop analytical tools, algorithms, and programs to support data engineering activities like writing scripts and automating tasks
  • Ensure optimum performance and identify improvement opportunities

Skills Required:

Data Warehousing, Data Modeling, Data/Analytics

Skills Preferred:

Experience in Data ingestion for all types of data and data wrangling and transformations and land data in Big Query. Experience in Stored procs, triggers, data modelling, Qlik View and cloud function and data fusion, astronomer and air flow

Experience Required:

Engineer 3 Exp: 7+ years Data Engineering work experience

Experience Preferred:

Experience in GCP Cloud Services Need GCP

Education Required:

Bachelor's Degree

Education Preferred: