1

Data Engineer Palantir Jobs in Riverside, CA (NOW HIRING)

Data Engineer Palantir information

See Riverside, CA salary details

$46.4K

$135.3K

$185.2K

How much do data engineer palantir jobs pay per year?

As of Jun 16, 2026, the average yearly pay for data engineer palantir in Riverside, CA is $135,329.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,500.00 and $143,400.00 per year, depending on experience, location, and employer.

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

AspectData Engineer PalantirData Analyst Palantir
Primary FocusBuilding and maintaining data pipelines, infrastructure, and databasesAnalyzing data, generating reports, and deriving insights
Required SkillsSQL, Python, data architecture, ETL processesSQL, Excel, data visualization, statistical analysis
Work EnvironmentTechnical teams, data engineering projects, infrastructure developmentBusiness teams, reporting, data interpretation
Common CertificationsGoogle Cloud Certified, AWS Data Analytics, Microsoft Certified: Data Analyst AssociateMicrosoft Certified: Data Analyst Associate, Tableau Desktop Specialist

While Data Engineer Palantir focuses on building and maintaining the data infrastructure, Data Analyst Palantir concentrates on analyzing data and providing insights. Both roles require strong SQL skills and familiarity with Palantir platforms, but they serve different functions within data teams.

Is it hard to get hired at Palantir?

Getting hired as a Data Engineer at Palantir can be competitive, as the company seeks candidates with strong technical skills in data processing, software engineering, and experience with tools like SQL, Python, or Spark. The hiring process typically involves multiple interviews, technical assessments, and a review of relevant experience and problem-solving abilities.

What are some common challenges Data Engineers face when working with Palantir's platforms, and how can they be addressed?

Data Engineers at Palantir often encounter challenges such as integrating disparate data sources, maintaining data quality, and ensuring data security within complex environments. Addressing these challenges requires strong collaboration with cross-functional teams, continuous learning of Palantir’s proprietary tools like Foundry, and implementing best practices for data governance. Proactively communicating with stakeholders and leveraging Palantir’s support resources can help resolve integration issues and optimize data pipelines.

What are the key skills and qualifications needed to thrive as a Data Engineer at Palantir, and why are they important?

To thrive as a Data Engineer at Palantir, you need strong programming skills (Python, Java, or Scala), in-depth knowledge of database systems, and experience with large-scale data pipelines, often supported by a degree in computer science or a related field. Proficiency with big data tools like Apache Spark, Hadoop, and Palantir Foundry, as well as familiarity with cloud platforms (AWS, GCP, or Azure), is typically required. Outstanding problem-solving abilities, collaboration, and adaptability help you work effectively in dynamic, cross-functional teams. These skills and qualities are vital for building robust data solutions that drive impactful insights and support complex client operations.

What does a Data Engineer at Palantir do?

A Data Engineer at Palantir is responsible for designing, building, and maintaining the data infrastructure that powers Palantir’s software platforms. They work closely with clients to ingest, process, and transform large volumes of data from disparate sources, ensuring that data is reliable, accessible, and optimized for analysis. Data Engineers also collaborate with other technical teams to implement data integration pipelines, develop scalable solutions, and help organizations make data-driven decisions using Palantir's tools.

What is a Palantir data engineer?

A Palantir data engineer is a professional responsible for designing, building, and maintaining data pipelines and infrastructure using Palantir's software platforms. They work with large datasets, often utilizing tools like Palantir Foundry, and require skills in data modeling, programming, and database management to support data integration and analysis efforts.

What is the average salary for a data engineer at Palantir?

The average salary for a data engineer at Palantir typically ranges from $110,000 to $150,000 per year, depending on experience, location, and skill set. Compensation may also include bonuses, stock options, and benefits, with higher salaries often associated with advanced skills in data pipelines, cloud platforms, and programming languages like Python or SQL.

How to get a job as a data engineer for Palantir?

To become a data engineer at Palantir, candidates should have strong skills in data modeling, SQL, and programming languages like Python or Java, along with experience working with large datasets and distributed systems. Familiarity with Palantir's platforms such as Foundry or Gotham, along with relevant certifications or a background in software engineering or data science, can improve chances. Applying through Palantir's careers website and preparing for technical interviews focused on data architecture and problem-solving are essential steps.
What are popular job titles related to Data Engineer Palantir jobs in Riverside, CA? For Data Engineer Palantir jobs in Riverside, CA, the most frequently searched job titles are:
What job categories do people searching Data Engineer Palantir jobs in Riverside, CA look for? The top searched job categories for Data Engineer Palantir jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Data Engineer Palantir jobs? Cities near Riverside, CA with the most Data Engineer Palantir job openings:

$161K - $242K/yr

Full-time

Posted 4 days ago


Job description

Join the Clean Energy Revolution
Become a Data Engineering Advisor at Southern California Edison (SCE) and build a better tomorrow. In this job, you'll be responsible for developing data integration pipelines (ETL) sourcing from various databases and systems. The advisor will develop programs using coding languages (i.e. Python, SQL) and/or low-code environments (i.e., Palantir Foundry) to create analyses and applications for stakeholders throughout the company. The candidate is therefore expected to work on data architecture, data engineering solutions, and best practices for analyzing very large datasets. Additionally, the candidate will perform data mining activities to derive insights, work with cloud OLAP systems (e.g., Snowflake), and keep abreast of new and current data engineering techniques.
As a Data Engineering Advisor, your work will help power our planet, reduce carbon emissions and create cleaner air for everyone. Are you ready to take on the challenge to help us build the future?
Responsibilities
  • Manages and scales data pipelines from internal and external data sources to support new product launches and drive data quality across data products.
  • Facilitates data engineering activities covering data acquisition, extraction, normalization, transformation, management, and manipulation of large and complex data sets.
  • Keeps abreast of new and current data engineering, big data and data science techniques. Researches methods, techniques, and new practices; develops and promotes data engineering best practices, standards and guidelines.
  • Works closely with subject matter experts to design and develop front-end applications with data models and data pipelines supporting the applications.
  • Provides governance and oversight of data assets, data environments and relevant data procedures, with the proactive planning and enforcement of data asset naming conventions.
  • Builds and maintains data pipelines using big data processing technologies to process and analyze large datasets; uses ETL processes on the internal cluster.
  • Develops and maintains data warehouse schema and data models, ensuring data consistency and accuracy.
  • Ensures ongoing alignment of technical and business strategies based on changing business and technology drivers and risks.
  • Creates advanced visualizations and tools to provide insight, drives action, and supports work throughout the business.
  • Identifies and designs Data-as-a-Service candidates for improved data availability and consumption.
  • A material job duty of all positions within the Company is ensuring the protection of all its physical, financial and cybersecurity assets, and properly accessing and managing private customer data, proprietary information, confidential medical records, and other types of highly sensitive information and data with the highest standards of conduct and integrity.

Minimum Qualifications
  • Bachelor's Degree in Computer Science, Information Systems, Engineering, Statistics/ Mathematics or equivalent STEM major.
  • Seven or more years of experience in data processing large data sets, hands-on with data transformation, aggregation, and filtering.

Preferred Qualifications
  • Demonstrated experience building and maintaining APIs and ETL pipelines using tools like Python, SQL, Apache Airflow, Azure Data Factory, or similar platforms.
  • Familiarity with systems like Palantir Foundry, Snowflake, AWS or similar platforms.
  • Additional certifications such as Palantir Foundry Data Engineer, Azure Data Engineer, Certified Data Management Professional, SnowPro Advanced, etc.
  • Understanding of cloud-based data storage and architecture.
  • Proven ability to implement data validation, metadata management, and ensure consistency and accuracy across systems.
  • Experience working in the electric utility industry or with infrastructure investment planning.
  • Experience working collaboratively with cross-function stakeholders such as IT, Engineering, Planning and business teams to gather requirements and deliver tailored data solutions.

Additional Information
  • This position's work mode is hybrid. The employee will report to an SCE facility for a set number of days with the option to work remotely on the remaining days. Unless otherwise noted, employees are required to work and reside in the state of California. Further details of this work mode will be discussed at the interview stage. The work mode can be changed based on business needs.
  • Visit our Candidate Resource page to get meaningful information related to benefits, perks, resources, testing information, hiring process, and more!
  • The primary work location for this position is Pomona (PIV3). However, the successful candidate may also be asked to work for an extended amount of time at (alternate work location).
  • Relocation does not apply to this position.

About Southern California Edison
The people at SCE don't just keep the lights on. Our mission is so much bigger. We're fueling the kind of innovation that's changing an entire industry, and quite possibly the planet. Join us and create a future with cleaner energy, while providing our customers with the safety and reliability they demand. At SCE, you'll have a chance to grow personally and professionally, making a real impact in Southern California and around the world.
Southern California Edison is a proud Equal Opportunity Employer, including disability and protected veteran status.
We are committed to ensuring that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodations at (833) 343-0727.