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

FieldAI

Data Platform Engineer, Data Pipelines

Irvine, CA · On-site

$122K - $147K/yr

About the Job As a Data Platform Engineer, Data Pipelines , you will design and build the systems ... Experience with dbt or similar transformation frameworks. Field AI Onsite Work Philosophy: Field AI ...

FieldAI

Data Platform Engineer, Data Pipelines

Irvine, CA

$122K - $147K/yr

About the Job As a Data Platform Engineer, Data Pipelines , you will design and build the systems ... Experience with dbt or similar transformation frameworks. Field AI Onsite Work Philosophy: Field AI ...

jobr.pro

Data Platform Engineer, Data Pipelines

Irvine, CA · On-site

$120 - $180/hr

About the Job As a Data Platform Engineer, Data Pipelines, you will design and build the systems ... Experience with dbt or similar transformation frameworks. Field AI Onsite Work Philosophy Field AI ...

New

Tata Consultancy Service Limited

Tower Lead

Irvine, CA · On-site

$120K - $160K/yr

The ideal candidate will possess strong leadership capabilities with deep expertise in Databricks, dbt, Azure, AWS, Data Governance, Data Engineering, and Modern Data Platforms. The role requires ...

Visionaire Partners

Lead Data Architect

Irvine, CA · On-site

$148K - $185K/yr

Qualifications: * 10+ years in data engineering and architecture * 5+ years leading enterprise ... dbt and Fivetran . * Strong proficiency in SQL, Python, enterprise data modeling (dimensional ...

Sayva Solutions

Director, Data Engineering

Irvine, CA · On-site

$133K - $167K/yr

Responsibilities: • Lead the Data Engineering function, including Manager-level direct reports ... Spark, dbt, Airflow, Kafka, SQL, Python, or comparable tools. • Proven ability to develop ...

Apptad Inc

Senior Data Architect

Irvine, CA · On-site

$72.25 - $96.50/hr

We are seeking a visionary and hands-on Senior Data Engineering Architect to design, scale, and ... dbt, and Apache Airflow. You will bridge the gap between complex business strategy and technical ...

New

NextDeavor Inc.

Principal Data Architect

Irvine, CA · Remote

$126K - $214K/yr

Experience with dbt, Great Expectations, or other modern data quality and transformation tooling on Databricks. * Bachelor's or Master's degree in Computer Science, Information Systems, Engineering ...

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Showing results 41-60

All JobsDbt Data Engineer JobsDbt Data Engineer Jobs in Riverside, CA

Dbt Data Engineer information

See Riverside, CA salary details

$46.4K

$135.3K

$185.2K

How much do dbt data engineer jobs pay per year?

As of Aug 21, 2026, the average yearly pay for dbt data engineer 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 a dbt data engineer?

Dbt Data Engineers are professionals who specialize in using dbt (data build tool) to transform, test, and document data within modern data warehouses. They build and maintain data pipelines by writing SQL-based transformation scripts and ensuring data quality through automated testing. Dbt Data Engineers collaborate closely with analytics teams to create reliable, well-documented datasets that support business intelligence and analytics initiatives.

How does a dbt data engineer typically collaborate with data analysts and other stakeholders?

As a Dbt Data Engineer, you'll work closely with data analysts, business intelligence teams, and sometimes product managers to translate business requirements into reliable, well-structured data models. Collaboration often involves reviewing transformation logic, ensuring data quality, and providing documentation or training on Dbt models. You may also participate in regular stand-ups or data modeling sessions to align on priorities and address data challenges collaboratively. Effective communication skills are key, as you'll bridge the gap between raw data and actionable insights.

What are the key skills and qualifications needed to thrive as a dbt data engineer, and why are they important?

To thrive as a Dbt Data Engineer, you need strong SQL skills, experience in data modeling, and a solid understanding of ELT/ETL pipelines, often supported by a degree in computer science or a related field. Familiarity with dbt (data build tool), version control systems like Git, and cloud data platforms such as Snowflake or BigQuery is typically required. Attention to detail, problem-solving abilities, and effective collaboration are essential soft skills for this role. These skills ensure robust, scalable, and maintainable data transformations that drive reliable analytics and business insights.

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

AspectDbt Data EngineerData Analyst
Primary FocusBuilding and maintaining data transformation pipelines using dbtAnalyzing data to generate reports and insights
Skills & ToolsSQL, dbt, ETL pipelines, cloud platformsSQL, Excel, BI tools, data visualization
Work EnvironmentData engineering teams, cloud data platformsBusiness units, reporting teams
CertificationsSQL, cloud certifications, dbt trainingData analysis, visualization certifications

While both roles work with data and SQL, Dbt Data Engineers focus on developing scalable data transformation pipelines using dbt, whereas Data Analysts primarily analyze data to produce reports and insights. The roles complement each other within data teams but differ in technical scope and responsibilities.

What are popular job titles related to Dbt Data Engineer jobs in Riverside, CA?

For Dbt Data Engineer jobs in Riverside, CA, the most frequently searched job titles are:

What job categories do people searching Dbt Data Engineer jobs in Riverside, CA look for?

The top searched job categories for Dbt Data Engineer jobs in Riverside, CA are:

What cities near Riverside, CA are hiring for Dbt Data Engineer jobs?

Cities near Riverside, CA with the most Dbt Data Engineer job openings:

Dbt Data Engineer jobs near you
Infographic showing various Dbt Data Engineer job openings in Riverside, CA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, and 5% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $135,329 per year, or $65.1 per hour.

Data Platform Engineer, Data Pipelines

FieldAI

Irvine, CA • On-site

$122K - $147K/yr

Full-time

Re-posted 12 days ago

Job description

Location: Irvine, CA

Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven(1) approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications.

About Field AI

Field AI is at the forefront of robotic embodied AI, transforming industries like construction, security, mining, and manufacturing. Our autonomous robots operate globally, often in harsh environments, delivering critical insights to customers. Whether monitoring construction progress, ensuring safety compliance, or conducting predictive maintenance, Field AI is advancing technology to make a meaningful impact.

Learn more at https://fieldai.com.

About the Data Platform Team

 Every robot we deploy generates a continuous stream of telemetry, sensor logs, and operational data from environments around the world. The Data Platform team builds the systems that capture every autonomy intervention, anomaly, and operational signal from globally deployed robots, classify them, and turn them into the ranked problem list that drives our engineering roadmap.

About the Job

As a Data Platform Engineer, Data Pipelines, you will design and build the systems and integrations that help move data reliably from robots in the field to the teams and services that depend on it - analytics, autonomy, ML training, and deployment operations. You will collaborate with cross-functional teams spanning robotics, autonomy, and deployment to build the data backbone of a field robotics company.

What You'll Get To Do
  • Design and build the data platform, frameworks, and developer tooling that power ingestion across Field AI.
  • Handle the realities of field data: intermittent connectivity, large sensor payloads (LiDAR, camera, IMU), edge-to-cloud synchronization, and backfill from offline deployments.
  • Develop reusable ingestion SDKs, APIs, and services that enable teams to onboard new robotics data sources with minimal custom code.
  • Build and maintain integrations across heterogeneous sources: robot/edge systems, fleet management and deployment tooling, simulation outputs, and cloud object storage.
  • Integrate the platform with downstream consumers: BI tools, ML training and evaluation pipelines, labeling systems, and issue tracking.
  • Develop connectors and APIs (REST/gRPC, webhooks, CDC) so internal teams can feed data in and consume curated datasets reliably.
  • Own integration reliability end to end: schema contracts, versioning, retries, backfills, and monitoring.
  • Optimize pipeline performance, scalability, and cost across growing fleet deployments.
What You Have
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.
  • 3-5+ years of experience in data engineering or backend engineering focused on pipelines and infrastructure.
  • Strong programming skills in Python and SQL (C++, Scala, or Java a plus).
  • Production experience with streaming systems (Kafka, Kinesis, Pub/Sub) and orchestration tools such as Airflow or Dagster.
  • Experience with a modern warehouse or lakehouse (BigQuery, Snowflake, Databricks, Redshift) and cloud object storage at scale.
  • Experience building integrations across systems: third-party APIs, internal services, and CDC/ELT tooling (Fivetran, Airbyte, Debezium, or custom connectors).
  • Experience building for data quality: testing, monitoring, lineage, and incident response.
  • Strong problem-solving skills and ability to work in interdisciplinary teams.
The Extras That Set You Apart
  • Experience with robotics, autonomy, automotive, or other telemetry-heavy operational data (bag files, fleet logs, time-series sensor data).
  • Familiarity with robotics middleware and log formats such as ROS/ROS2, MCAP, or rosbag.
  • Experience with edge computing or intermittently connected data collection.
  • Experience with dbt or similar transformation frameworks.

Field AI Onsite Work Philosophy:

Field AI believes in-person collaboration is essential for tackling complex challenges. These are fully onsite roles based in our Irvine office, with flexible hours to support work-life balance.

We are committed to fostering a diverse and inclusive workplace and encourage candidates from all backgrounds to apply.

Why Join Field AI?

We are solving one of the world's most complex challenges: deploying robots in unstructured, previously unknown environments. Our Field Foundational Models set a new standard in perception, planning, localization, and manipulation, ensuring our approach is explainable and safe for deployment. The data platform this team builds will carry every signal our robots produce - the raw material behind every autonomy improvement we ship.

You will have the opportunity to work with a world-class team that thrives on creativity, resilience, and bold thinking. With a decade-long track record of deploying solutions in the field, winning DARPA challenge segments, and bringing expertise from organizations like DeepMind, NASA JPL, Boston Dynamics, NVIDIA, Amazon, Tesla Autopilot, Cruise Self-Driving, Zoox, Toyota Research Institute, and SpaceX, we are set to achieve our ambitious goals.

Be Part of the Next Robotics Revolution

To tackle such ambitious challenges, we need a team as unique as our vision - innovators who go beyond conventional methods and are eager to tackle tough, uncharted questions. We're seeking individuals who challenge the status quo, dive into uncharted territory, and bring interdisciplinary expertise. Our team requires not only top AI talent but also exceptional software developers, engineers, product designers, field deployment experts, and communicators.

Join us, shape the future, and be part of a fun, close-knit team on an exciting journey!

We celebrate diversity and are committed to creating an inclusive environment for all employees. Candidates and employees are always evaluated based on merit, qualifications, and performance. We will never discriminate on the basis of race, color, gender, national origin, ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability, or any other legally protected status.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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