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Remote Data Engineering Jobs in Simi Valley, CA (NOW HIRING)

Senior Data Engineer

Los Angeles, CA ยท On-site +1

$160K - $190K/yr

... remote work days. To learn more about the work we do at EDO, please visit EDO Press . The Role As a ... What We Are Looking For * 6+ years of data engineering experience and three years of hands-on ...

Data Engineer

Los Angeles, CA ยท On-site +1

$120K - $160K/yr

... remote work days. To learn more about the work we do at EDO, please visit EDO Press . The Role As a ... What We Are Looking For * 3-6 years of experience as a Data Engineer. * Hands-on experience with ...

Data Engineer

Los Angeles, CA ยท Remote

$160K - $190K/yr

We run an engineering-first stack that prioritizes transparent, code-driven systems over black-box services, and you will contribute to the continued growth and reliability of our data platform.

On-site ( #LI-Onsite ), Hybrid ( #LI-Hybrid ), Remote ( #LI-Remote ) Farmers believes in a culture ... programing, complex ETL and specialized modeling methods to execute projects and lead the team ...

Data Science and Data Engineering Job Qualifications: Skills: AI Systems, Big Data, Datasets ... a remote work model GDIT IS YOUR PLACE At GDIT, the mission is our purpose, and our people are at ...

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical ...

Senior Data Analyst / Remote

Los Angeles, CA ยท Remote

$92K - $116K/yr

Coordinate data management and resource requirements with data engineers * Conduct training to ... business analysts and internal customers on data and resources available through the analytics ...

Remote Job Overview We are seeking experienced AI Data Science Domain Experts to contribute their ... Prompt Engineering * AI Output Evaluation * Quality Assurance * Technical Documentation * Technical ...

Manager, Data Analytics

Santa Monica, CA ยท On-site +1

$158K - $224K/yr

About the Manager, Data Analytics at Headspace: What you will do: * Drive significant business ... Provide thought leadership by collaborating with Product, Engineering, Marketing, and Operations to ...

Showing results 21-40

Remote Data Engineering information

See Simi Valley, CA salary details

$45.9K

$133.9K

$183.2K

How much do remote data engineering jobs pay per year?

As of Aug 17, 2026, the average yearly pay for remote data engineering in Simi Valley, CA is $133,906.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,200.00 and $141,900.00 per year, depending on experience, location, and employer.

How do remote data engineers typically collaborate with other team members across different time zones?

Remote data engineers often work with distributed teams, which requires strong communication and organization skills. They collaborate using tools like Slack, Zoom, and project management platforms to stay aligned on data pipeline development, troubleshooting, and deployment. Regular stand-ups, asynchronous documentation, and clear communication of progress are essential for ensuring everyone is on the same page, regardless of location. Flexibility in working hours and proactive scheduling of meetings help facilitate effective collaboration and project delivery.

What is remote data engineering?

Remote data engineering involves designing, building, and maintaining data systems and pipelines while working from a location outside of a traditional office. Remote data engineers use tools to collect, process, and store large sets of data, making it accessible for analysis and business decision-making. They collaborate with teams virtually, often using cloud-based technologies, to ensure that data infrastructure is reliable, scalable, and secure. This role requires strong technical skills in programming, databases, and data architecture, as well as the ability to communicate effectively in a distributed work environment.

What are the key skills and qualifications needed to thrive as a remote data engineer?

To thrive as a Remote Data Engineer, you need strong programming skills (such as Python, Java, or Scala), experience with data modeling, ETL processes, and a solid understanding of database systems, often supported by a degree in computer science or a related field. Proficiency with big data tools like Apache Spark, Hadoop, cloud platforms (AWS, Azure, GCP), and certifications in these technologies is highly valued. Excellent problem-solving abilities, self-motivation, and clear communication are crucial soft skills for remote collaboration and project delivery. These competencies ensure effective data pipeline development, reliable data management, and seamless teamwork across distributed environments.

Can you work remotely as a data engineer?

Yes, remote data engineering roles are common, allowing professionals to work from various locations. These jobs often require strong skills in SQL, cloud platforms, and data pipeline tools, and may involve collaboration through online communication tools.

What is the difference between Remote Data Engineering vs Remote Data Analyst?

AspectRemote Data EngineeringRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related field; experience with SQL, Python, cloud platformsBachelor's in Statistics, Data Science, or related; proficiency in Excel, SQL, visualization tools
Work EnvironmentBuilds data pipelines, manages databases, works with cloud infrastructureAnalyzes data sets, creates reports, visualizes data insights
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, finance, retail, consulting

Remote Data Engineering focuses on designing and maintaining data infrastructure, while Remote Data Analysts interpret data to provide insights. Both roles require strong analytical skills but differ in technical depth and responsibilities.

What are the most commonly searched types of Data Engineering jobs in Simi Valley, CA?

The most popular types of Data Engineering jobs in Simi Valley, CA are:

What are popular job titles related to Remote Data Engineering jobs in Simi Valley, CA?

For Remote Data Engineering jobs in Simi Valley, CA, the most frequently searched job titles are:

What job categories do people searching Remote Data Engineering jobs in Simi Valley, CA look for?

The top searched job categories for Remote Data Engineering jobs in Simi Valley, CA are:

What cities near Simi Valley, CA are hiring for Remote Data Engineering jobs?

Cities near Simi Valley, CA with the most Remote Data Engineering job openings:

Infographic showing various Remote Data Engineering job openings in Simi Valley, CA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $133,906 per year, or $64.4 per hour.

Senior Data Engineer

EDO

Los Angeles, CA โ€ข On-site, Remote

$160K - $190K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 23 days ago


Job description

Who We Are
EDO is the TV outcomes company. Our leading measurement platform connects convergent TV airings to the ad-driven consumer behaviors most predictive of future sales. EDO empowers the advertising industry to maximize media impact, optimize creative performance, and know the fair value of every impression - across linear and streaming for an increasingly programmatic world. By combining immediate engagement signals with world-class decision science and vertical AI, EDO equips industry leaders with syndicated, investment-grade data that aligns media to business results - with detailed competitive, category, and historical insights. Leading brands, agencies, networks, streamers, and studios trust EDO's TV intelligence to know what works.
EDO is headquartered in New York City and Los Angeles with an office space in San Francisco. We recognize the benefits of hybrid working, and want to create the best balance to ensure we can continue working together effectively. For those who reside full-time in NYC, SF, or LA: we have a hybrid work policy of three days in the office and two remote work days.
To learn more about the work we do at EDO, please visit EDO Press.
The Role
As a Senior Data Engineer at EDO, you will join a team of talented Data Engineers working closely with Data Scientists to build out our next generation Ad EnGage data pipeline. This pipeline measures and optimizes the effectiveness of advertising by combining and analyzing dozens of sources of advertising occurrence data, advertising outcome data, identity resolution data, and various other types of data. Our clients use these insights to make critical business decisions about their advertising strategy. You will work with large data sets (trillions of rows and hundreds of TB of data) using a modern tech stack centered on AWS, Airflow, DBT, and Snowflake.
What We Are Looking For
  • 6+ years of data engineering experience and three years of hands-on experience with cloud data platforms (preferably Snowflake or Redshift).
  • Good working knowledge of data warehousing platforms (such as Snowflake, Redshift, etc), cloud computing (such as AWS), and ETL/data pipeline technologies (such as Airflow, DBT).
  • Production experience building and operating complex and scalable data pipelines that optimize on data quality and are resilient to poor quality data sources.
  • Strong experience with orchestration tools (Airflow strongly preferred) and dbt, including pipeline design, scheduling strategies, and failure recovery patterns
  • Strong expertise in SQL, including query optimization/performance tuning, data modeling, schema design, and scalable data architecture.
  • Proficiency in at least one scripting language, with Python preferred.
  • Ability to work independently on loosely defined projects-gathering requirements and making architectural decisions that balance engineering constraints with business needs, while driving projects through to completion and production.

Bonus points:
  • Previous industry experience working with TV or other advertising data is a plus.
  • Familiarity with data security, privacy, including handling sensitive enterprise data, PII, and compliance-driven pipelines.
  • Exposure to Data Clean Room concepts/implementation and Clean Room platforms like LiveRamp, Snowflake or Databricks.
  • Exposure to identity/entity resolution and/or householding concepts/implementation.
  • A strong understanding of software engineering practices, principles, and fundamentals.

Compensation and Benefits
EDO offers a competitive compensation package. Components of compensation include:
  • Mid-stage equity and competitive salary
  • Flexible Time Off
  • Medical, dental and vision coverage: EDO provides full coverage for individual medical plans and partial coverage for dependent or family plans.
  • 401(k) plan, FSA, HSA
  • Commuter Benefits
  • When in an office, employee meals, snacks, and more

In compliance with New York and California Pay Transparency Law, the salary range for this position is $160,000 to $190,000 plus equity. We note the salary information as a general guideline only, as actual compensation may vary from posting. We will consider various factors to determine the offer for this role, including the scope and responsibilities of the position, relevant work experience, key skills, training, and business considerations.
EDO is an Equal Opportunity Employer. We do not discriminate based on race, color, ethnicity, ancestry, national origin, religion, sex, gender, gender identity, gender expression, sexual orientation, age, disability, veteran status, genetic information, marital status, or any legally protected status. All your information will be kept confidential according to EEO guidelines.