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Weekend Data Engineering Jobs in California (NOW HIRING)

About This Job The AVP, Marketing Data Engineering leads the design and operation of scalable, reliable data pipelines that power marketing activation and measurement. This role owns how marketing ...

Data Engineer

San Diego, CA · On-site

$121.60K - $146K/yr

Ability to influence and improve data engineering best practices * Strong visibility into how data ... Benefit from a schedule with no evening or weekend work - enjoy your weekends for relaxation and ...

Data Engineer

San Diego, CA

$121.60K - $146K/yr

Ability to influence and improve data engineering best practices * Strong visibility into how data ... Benefit from a schedule with no evening or weekend work - enjoy your weekends for relaxation and ...

Data Engineer

San Diego, CA · On-site

$121.60K - $146K/yr

Ability to influence and improve data engineering best practices * Strong visibility into how data ... Benefit from a schedule with no evening or weekend work - enjoy your weekends for relaxation and ...

About This Job The AVP, Marketing Data Engineering leads the design and operation of scalable, reliable data pipelines that power marketing activation and measurement. This role owns how marketing ...

Data Engineer

Palo Alto, CA · On-site

$134.60K - $161.60K/yr

The ideal candidate will lead data engineering efforts, mentor junior engineers, and collaborate with cross-functional teams to deliver scalable and secure data platforms. Key Responsibilities * Lead ...

Data Engineer

Irvine, CA · On-site

$122.90K - $147.60K/yr

Data Engineering and pipeline orchestration * Experience with: * Spark performance tuning * Databricks platform administration * DAG design and enterprise orchestration * Data quality and scalable ...

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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:
Software Engineer II, Data Engineering

Software Engineer II, Data Engineering

Brain Corp

San Diego, CA

$121.60K - $146K/yr

Other

Posted 18 hours ago


Job description

Brain Corp is a San Diego, California, USA-based AI company creating transformative core technology for the robotics industry. Our purpose is to create autonomous technology that helps the real world work better. Brain's robotic and AI solutions help retailers ensure that the right product is on the right shelf at the right price, in a clean environment. Through the BrainOS Robotics Platform, which powers the largest global fleet of the Autonomous Mobile Robots (AMRs) in operation in commercial public spaces, Brain Corp delivers insightful and efficient automated solutions in both commercial floor cleaning and inventory management, empowering organizations and their employees to achieve more. Brain Corp currently powers more than 30,000 AMRs, representing the largest fleet of its kind in the world. Brain Corp is funded by the SoftBank Vision Fund, Clearbridge, and Qualcomm Ventures.

Named a top workplace by the San Diego Union Tribune and USA today in 2025, we make life-changing impacts through innovation, helping workers globally unlock their abilities in orchestration with intelligent machines.

Position Overview:

As a member of our Software Engineering team, the Software Engineer II, Data Engineering will play a key role in designing and maintaining the data infrastructure that powers the BrainOS platform. This role requires a solid foundation in data engineering concepts and technologies; with experience in building scalable data pipelines and ensuring the integrity and performance of data systems. The Software Engineer II, Data Engineering will work independently on mid-sized projects and collaborate with senior engineers to tackle larger initiatives.

Essential Job Functions:

  • Design and Develop Data Pipelines: Implement robust, scalable pipelines for processing structured and unstructured data
  • Data Architecture & Modeling: Contribute to the design of complex data models and optimize storage solutions in support of engineering and business objectives
  • Optimize Performance and Scalability: Enhance the efficiency and scalability of data pipelines and storage systems by identifying bottlenecks, and configuring cluster resources
  • Collaborate and Support: Collaborate with data analysts, data scientists, and other business teams to support data-related technical issues and support their data infrastructure needs
  • Data Security & Compliance: Implement security best practices, including encryption and access control policies, while maintaining data integrity and compliance with quality standards
  • Incident Management: Monitor and troubleshoot data pipeline failures and reliability issues

Education and/or Work Experience Requirements:

  • BS or MS in Computer Science or applicable engineering discipline
  • 2-5 years of proven software development experience, with at least 2 of those years focused on data engineering

Required Knowledge, Skills, Abilities, and Other Characteristics:

  • Proficiency in SQL as well as one or more programming languages (Python, Go, or TypeScript)
  • Experience with data warehousing (BigQuery, Snowflake, Firestore, MySQL, PostgreSQL)
  • Familiarity with stream processing frameworks (Apache Beam, Pub/Sub, Spark Streaming)
  • Understanding of data governance, security, and compliance best practices
  • Strong problem-solving skills and ability to work independently on projects
  • Familiarity using Generative AI tools to enhance development workflows, such as code generation, data exploration, and documentation support
  • Effective communication skills demonstrated by effective written and verbal communication; with an ability to articulate technical concepts to both technical and non-technical stakeholders

Things that make a difference:

  • Experience with machine learning models and data science methodologies
  • Experience with Google Cloud and their data ecosystem
  • Familiarity with BI tools (e.g., Tableau, Power BI) and data frameworks (e.g., Hadoop, Spark)
  • Experience with infrastructure as code (e.g., Terraform, Pulumi) and containerization and orchestration tools (e.g., Docker, Kubernetes)

Physical Demands:

The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Essential functions may require maintaining the physical condition necessary for sitting, walking or standing for periods of time; operating a computer and keyboard; use of hands to finger and grasp; talk and hear at normal room levels; visual acuity to determine the accuracy, neatness, and thoroughness of the work assigned or to make general observations of facilities or structures; push or pull up to 20 pounds.

Work Environment:

The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job. The noise level in the work environment is usually quiet to moderate. Employees are exposed to the typical office environment with computers, printers and telephones.

Salary Range:

The anticipated salary range for candidates who will work in San Diego, California is $130,000. The final salary offered to a successful candidate will be dependent on several factors that may include but are not limited to the type and length of experience within the job, type and length of experience within the industry, education, etc. Brain Corp is a multi-state employer and this salary range may not reflect positions that work in other states.