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Data Engineer Two Jobs in California (NOW HIRING)

Data Engineer II, Mobile Game Analytics

El Segundo, CA · On-site

$122K - $146K/yr

The Opportunity: We're hiring a Data Engineer II to own the analytics backbone for our growing mobile free-to-play portfolio. You'll design and operate the pipelines, data models, and quality systems ...

Data Engineer II, Mobile Game Analytics

El Segundo, CA · On-site

$122K - $146K/yr

The Opportunity: We're hiring a Data Engineer II to own the analytics backbone for our growing mobile free-to-play portfolio. You'll design and operate the pipelines, data models, and quality systems ...

Engineer II, Data Engineering

Los Angeles, CA · Hybrid

$123K - $148K/yr

Engineer II - Data Engineering New York City, NY Boston, MA Los Angeles, CA Broomfield, CO Hybrid Schedule (M/F remote, T/W/TH in-office) At Magnite, we cultivate an environment of continuous growth ...

Data Engineer

San Diego, CA

$129K - $156K/yr

Position Overview SteerBridge seeks a highly skilled and motivated Data Engineer II to join our team supporting the F-35 AI/ML Spares Project. As the most advanced fighter jet in the world, the F-35 ...

Data Engineer

San Diego, CA · On-site

$105K - $125K/yr

Position Overview SteerBridge seeks a highly skilled and motivated Data Engineer II to join our team supporting the F-35 AI/ML Spares Project. As the most advanced fighter jet in the world, the F-35 ...

Work with us to use data for good. Join us. The world can't wait ... You Have: * 2+ years of experience writing software in programming languages, including Python * 2+ ...

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 ...

Data Engineer

Mountain View, CA · On-site

$135K - $162K/yr

Mountain View, CA (Hybrid 3days onsite, 2 days remote) Responsibilities: * Design, develop, and maintain scalable and reliable data pipelines to support the growing data needs of the organization.

Data Engineer

Los Angeles, CA

$123K - $148K/yr

Bachelor's degree in Computer Science, Data Science, Software Engineering, or a related field, or equivalent practical experience. * 2+ years of experience in data engineering, software engineering ...

Data Engineer

Los Angeles, CA · On-site

$123K - $148K/yr

Bachelor's degree in Computer Science, Data Science, Software Engineering, or a related field, or equivalent practical experience. * 2+ years of experience in data engineering, software engineering ...

Data Engineer

Los Angeles, CA · On-site

$123K - $148K/yr

Bachelor's degree in Computer Science, Data Science, Software Engineering, or a related field, or equivalent practical experience. * 2+ years of experience in data engineering, software engineering ...

POSITION OVERVIEW The Data Engineer is responsible for the integration build, data pipeline ... Background in Salesforce (SFDC) REST/Bulk API 2.0 data pipeline construction. * Familiarity with ...

Data Engineer

San Diego, CA · On-site

$122K - $141K/yr

This position will be a part of 2 Data Engineers and 1 Data Analyst. NATURE & SCOPE: As a Data Engineer: * This position will provide overall development, programming, coding and troubleshooting ...

Data Engineer

Santa Clara, CA · On-site

$85K - $134K/yr

POSITION OVERVIEW The Data Engineer is responsible for the integration build, data pipeline ... Background in Salesforce (SFDC) REST/Bulk API 2.0 data pipeline construction. * Familiarity with ...

Data Engineer

San Francisco, CA · Remote

$134K - $162K/yr

We're looking for a bright engineer keen on data and passionate about Slite's mission. This person will support all functions of the team with data, enforce our setup is reliable and will scale in ...

Data Engineer

San Francisco, CA · Remote

$134K - $162K/yr

We're ready to welcome Slite's first data engineer! This is a remote position. What's my mission ? Own the BItoolchain : pick, implement and maintain BI tools and setup. Help product track the ...

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Data Engineer Two information

What is the difference between Data Engineer Two vs Data Engineer One?

AspectData Engineer TwoData Engineer One
Required CredentialsBachelor's degree in Computer Science or related field; experience with cloud platformsSimilar credentials, often entry-level or less experience
Work EnvironmentCollaborates on complex data pipelines, often in team settingsSupports basic data tasks, more independent work
Employer & Industry UsageUsed in tech, finance, healthcare industriesCommon in same industries, often as entry-level roles
Search & Comparison IntentOften searched for by those with some experience seeking advanced rolesTypically searched by entry-level candidates

Data Engineer Two roles generally require more experience and involve handling complex data systems, whereas Data Engineer One positions are more entry-level with simpler responsibilities. Both roles are prevalent across industries like tech, finance, and healthcare, but Data Engineer Two is suited for those with more technical expertise and experience.

What are popular job titles related to Data Engineer Two jobs in California? For Data Engineer Two jobs in California, the most frequently searched job titles are:
What cities in California are hiring for Data Engineer Two jobs? Cities in California with the most Data Engineer Two job openings:
Software Engineer II, Data Engineering

Software Engineer II, Data Engineering

Brain Corp

San Diego, CA • On-site

$121K - $146K/yr

Full-time

Re-posted 16 days 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.