1

Live In Data Platform Engineer Jobs in California

Data Platform Engineer

San Diego, CA ยท On-site

$120K - $150K/yr

Trulioo invites you to be a catalyst for change in the dynamic realm of digital identity ... Position Summary We are seeking a skilled Data Platform Engineer with a proven track record of ...

Founded in 2016 to help transform the antiquated world of TV advertising through the intelligent ... As a Data Platform Engineer, you will be responsible for the reliability, stability, and ...

Founded in 2016 to help transform the antiquated world of TV advertising through the intelligent ... As a Data Platform Engineer, you will be responsible for the reliability, stability, and ...

Staff Data Engineer

San Diego, CA

$121K - $146K/yr

Exactera has offices in New York City, Tarrytown NY, San Diego, CA, London, and Argentina. The Role ... As the platform matures, the data engineering team needs senior onshore technical presence to drive ...

Data Platform Engineer, Senior Staff

San Diego, CA ยท On-site

$112K - $152K/yr

This role is ideal for a senior engineer who excels in system design, platform innovation, and hands-on execution. You will help design, implement and improve reliability of the data platform ...

Senior Data Platform Engineer

San Francisco, CA ยท On-site

$124K - $169K/yr

The Data Platform team is in an exciting phase of growth and formalization While we have ... We're looking for engineers who can take ownership and evolve workflows into reliable, well ...

Cloud Data Platform Engineer

Cupertino, CA ยท On-site

$68.75 - $92/hr

Cloud Data Platform Engineer Location: SF or Cupertino, California, Dallas Texas, Hopkins, MN ... Proficiency in Terraform, Bicep, or ARM templates. * Containerization: Experience with Docker and ...

Senior Data Platform Engineer

Pleasanton, CA ยท On-site

$127K - $153K/yr

About the Role Join our Data Platform team at 10x Genomics to architect and implement our strategic ... Provide hands-on Senior Data Engineering leadership in developing scalable and maintainable ETL/ELT ...

In this role, you will be the architect of a scalable, reliable, and easy-to-use platform that enables analytics engineers, data scientists, and software engineers to build high-impact analyses and ...

Senior Data Platform Engineer

San Francisco, CA ยท On-site

$124K - $169K/yr

We launched publicly in Feb 2026 and are 50 people and growing. We have strong early product-market ... We're looking for a Senior Data Platform Engineer to help build Monaco's data and ML platform - the ...

Senior Data Platform Engineer

San Francisco, CA ยท On-site

$124K - $169K/yr

We launched publicly in Feb 2026 and are 50 people and growing. We have strong early product-market ... We're looking for a Senior Data Platform Engineer to help build Monaco's data and ML platform - the ...

next page

Showing results 1-20

Live In Data Platform Engineer information

What is the difference between Live In Data Platform Engineer vs Data Engineer?

AspectLive In Data Platform EngineerData Engineer
CredentialsBachelor's in CS, Data Science, or related; certifications like AWS, Azure, or GCPBachelor's in CS, IT, or related; certifications like AWS, GCP, or Hadoop
Work EnvironmentOn-site/live-in setup, often in remote or rural locations, supporting real-time data systemsOffice-based or remote, focusing on data pipeline development and management
Industry UsageUsed in industries requiring constant on-site data monitoring, such as energy or remote facilitiesCommon across tech, finance, healthcare, and other sectors for data infrastructure

The Live In Data Platform Engineer specializes in maintaining real-time data systems in on-site or remote environments, often requiring a live-in presence. In contrast, Data Engineers focus on building and managing data pipelines across various industries, typically working remotely or in-office. Both roles require similar technical skills but differ mainly in work setting and specific responsibilities.

What are the most commonly searched types of Data Platform Engineer jobs in California? The most popular types of Data Platform Engineer jobs in California are:
What are popular job titles related to Live In Data Platform Engineer jobs in California? For Live In Data Platform Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Live In Data Platform Engineer jobs in California look for? The top searched job categories for Live In Data Platform Engineer jobs in California are:
What cities in California are hiring for Live In Data Platform Engineer jobs? Cities in California with the most Live In Data Platform Engineer job openings:

Data Platform Engineer

Trulioo

San Diego, CA โ€ข On-site

$120K - $150K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 15 days ago


Job description

Are you ready to embark on a career that truly affects people around the world? Trulioo invites you to be a catalyst for change in the dynamic realm of digital identity verification. As the global front-runner in our industry, we are redefining how businesses grow, innovate and comply online.
Picture yourself at the forefront of innovation, contributing to our award-winning platform that enables organizations worldwide to quickly onboard customers, optimize costs and combat fraud. Fueled by Silicon Valley support, Trulioo stands as the trusted platform that can verify more than 5 billion people and 700 million business entities spanning 195 countries.
But Trulioo is more than a tech company. We are a united force of dedicated experts committed to establishing trust online - and we're proud to be recognized as a BC Top Employer for the second consecutive year, reflecting our commitment to an inclusive, collaborative, and people-first workplace.
Headquartered in Vancouver and with strategic hubs in San Diego and Dublin, we foster a culture of collaboration and open communication. Our offices support a hybrid model and staff typically work three days per week at a hub location. Join us where excitement meets innovation and contribute to a world where trust and technology unite.
What We Offer
  • Comprehensive Benefits: We provide a robust benefits package for full-time, permanent employees, including health, dental, and vision coverage, retirement plans with company match, paid time off, parental leave, and an annual education & training stipend (equivalent to $1,000 in local currency). Specific benefits may vary by location and will be discussed further during the interview process.
  • Flexible Hybrid Working Environment: Our offices are designed to support both collaboration and flexibility. Enjoy weekly lunches, quality coffee, and regular social events. Many locations also feature parent rooms, on-site gyms, comfortable lounges, and adaptable workstations to support your comfort and productivity.
  • Wellness: We care about your well-being. Team members have access to wellness workshops and events, as well as a complimentary Headspace subscription to help you stay focused, grounded, and energized.
  • Employee Resource Groups: Belonging is an important part of doing your best work. Our ERGs provide an inclusive space, support and community for employees of diverse backgrounds and allies. We host informative, fun sessions and celebrations that are often open to the entire organization.

Position Summary
We are seeking a skilled Data Platform Engineer with a proven track record of innovation to design, build, and maintain robust data systems that power person and business search and verification services. The ideal candidate has experience integrating diverse data sources, developing scalable ETL pipelines, and applying ML techniques to improve data quality, entity resolution, and semantic search.
This role spans multiple data systems - relational, NoSQL, vector databases, search engines, and optionally graph databases - offering opportunities to tackle complex data challenges at scale.
This will be a full-time, permanent position, working out of the San Diego office on a hybrid model (3 days per week in the office).
What You'll Be Doing:
  • Build, optimize, and maintain data ingestion and transformation pipelines from multiple sources (internal systems, vendor data, web data, APIs).
  • Design and implement data models using the most suitable tool for the task - SQL, NoSQL, GraphDBs, or VectorDBs.
  • Integrate machine learning models into pipelines for entity resolution, de-duplication, semantic enrichment, and embedding generation.
  • Work with Vector Databases (e.g., AWS S3 Vector, PostgresVectorDb, OpenSearch) to support similarity and semantic search applications.
  • Collaborate with data scientists, software engineers, and analysts to deliver reliable, high-performance data infrastructure.
  • Ensure data quality, consistency, and performance monitoring across all pipelines and systems.

What You'll Bring:
  • 5+ years of professional software development or data engineering experience.
  • Strong programming skills in Python.
  • Experience with data modeling and schema design in SQL and NoSQL systems.
  • Experience designing and maintaining data pipelines (Airflow, Dagster, Prefect, or similar).
  • Proficiency with cloud-based data services (AWS, GCP, Azure).
  • Proficiency in multiple programming languages.
  • Experience with entity resolution or record linkage algorithms.
  • Experience incorporating ML workflows into ETL pipelines.
  • Hands-on experience with Vector Databases and embedding-based search pipelines.
  • Familiarity with graph databases (Neo4j, Neptune, or Gremlin) for ETL, modeling, and querying.
  • Experience with OpenSearch / Elasticsearch, including index creation, tuning, and advanced queries.
  • Familiarity with streaming data systems (Kafka, Kinesis) or distributed processing frameworks (Spark, Flink).
  • Knowledge of semantic search, RAG pipelines, or LLM-enhanced retrieval.
  • Experience with containerization and orchestration (Docker, Kubernetes) and CI/CD pipelines.
  • Background in information retrieval, knowledge graphs, or data platform architecture.
  • Experience using data catalog/lineage tools (OpenMetadata, DataHub, etc.).
  • Strong experience with modern ETL tools for both large and small data processing (PySpark, Dask, DuckDB, etc.).

Nice to Have:
  • Strong analytical and problem-solving abilities.
  • Excellent communication and collaboration across technical and non-technical teams.
  • Curious, proactive, and adaptable to emerging data technologies.
  • Self-starter with ownership and accountability for delivering high-quality solutions.

Thriving at Trulioo
At Trulioo, you're not just an employee. You're a valued member of our Trulicrew on a journey of professional and personal growth with a world-class organization. With Trulioo, you have the power to revolutionize the intersection of technology, digital trust and online identity to open the global economy to everyone. Together, we can shape the digital future.
We're on the lookout for exceptional people to empower with trust, autonomy and the freedom to cultivate their potential. Your curiosity, meticulous attention to detail and passion to contribute are highly valued. If that resonates with you, apply today to become a part of our team. Join us in shaping a future where your career isn't just a journey but also a boundless exploration into the possibilities of technology and digital identity verification.
Get an inside look at life at Trulioo by following us on LinkedIn, or learn more about us at www.trulioo.com
If you don't see yourself fully reflected in every job requirement listed on the posting above, we still encourage you to reach out and apply. Research has shown that minorities and underrepresented groups often only apply when they feel 100% qualified. We are committed to creating a more equitable, inclusive and diverse company and we strongly encourage applicants of all genders, ages, ethnicities, cultures, abilities, sexual orientations, and life experiences to apply.
Trulioo welcomes applications from people with disabilities. Support is available upon request for candidates taking part in all aspects of the selection process. Finally, we know from time-to-time emergencies happen and you may need to reschedule an interview - we understand and encourage you to be in communication without worrying about losing the opportunity or your credibility.
Privacy Notice
As part of our job application process, Trulioo collects, processes, and discloses personal data for the purpose of identifying suitable candidates for our job openings. For more detail, please visit Trulioo's Website Privacy Policy in the section "When you apply for a job".