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Remote Data Integration Developer Jobs in Simi Valley, CA

EDO

Data Engineer

Los Angeles, CA · 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 ...

AccelerateHC

Data Migration Engineer

Santa Monica, CA · On-site +1

$128K - $154K/yr

The company is fully remote across the US and Canada and operates with a transparent salary ... As a Data Migration Engineer on the client's migration delivery team, the role will own customer ...

City of Oxnard

Solution Developer

Oxnard, CA · On-site +1

$106K - $135K/yr

Develop and maintain clear documentation on system integrations, tech specs, data flow diagrams ... The City does not offer hybrid or remote work. PLEASE NOTE: The Information Technology Department ...

Saransh Inc

Salesforce Engineer

Woodland Hills, CA · Remote

$56.75 - $75.25/hr

Atlanta, GA / Woodland Hills, CA (3 days a week onsite is required) / Remote also fine Job Type ... Developer Certification (Platform Dev 2) Nice to Have: Certified Omnistudio Developer, Advanced ...

Sawhorse Productions

Senior Roblox Developer

Los Angeles, CA · On-site +1

$35 - $55/hr

Translate creative vision and KPIs into interactive, engaging, and data-driven gameplay experiences ... Must be a self-starter with strong time-management skills in a remote, fast-paced setting. Nice To ...

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All JobsData Integration Developer JobsRemote Data Integration Developer JobsRemote Data Integration Developer Jobs in Simi Valley, CA

Remote Data Integration Developer information

See Simi Valley, CA salary details

$10

$53

$86

How much do remote data integration developer jobs pay per hour?

As of Jul 27, 2026, the average hourly pay for remote data integration developer in Simi Valley, CA is $53.35, according to ZipRecruiter salary data. Most workers in this role earn between $44.90 and $60.05 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Data Integration Developer, and why are they important?

To thrive as a Remote Data Integration Developer, you need a strong background in database management, ETL processes, and programming languages like SQL, Python, or Java, often supported by a degree in computer science or related fields. Familiarity with data integration platforms (e.g., Informatica, Talend, MuleSoft), cloud services (AWS, Azure), and relevant certifications are typically required. Excellent problem-solving skills, attention to detail, and effective remote communication are crucial soft skills for collaborating across distributed teams. These skills and qualifications ensure the seamless, secure, and efficient transfer of data across systems, which is vital for organizational decision-making and operations.

What is the difference between Remote Data Integration Developer vs Data Engineer?

AspectRemote Data Integration DeveloperData Engineer
Required CredentialsTypically requires SQL, ETL tools, and data integration certificationsRequires SQL, programming languages (Python, Java), and sometimes cloud certifications
Work EnvironmentPrimarily remote, focused on data pipelines and integration tasksOften remote or on-site, involved in building and maintaining data infrastructure
Employer & Industry UsageUsed in tech, finance, healthcare for data flow managementCommon in tech, finance, and large enterprises for data architecture

The Remote Data Integration Developer focuses on designing and implementing data pipelines and integrating data from various sources, often working with ETL tools. Data Engineers build and maintain the overall data infrastructure, including data warehouses and pipelines, requiring broader programming skills. Both roles are essential in data management but differ in scope and technical depth.

What are some common challenges Remote Data Integration Developers face when collaborating with distributed teams?

Remote Data Integration Developers often work with teams spread across different time zones and departments, which can present challenges in communication and project coordination. Ensuring data consistency and managing integration schedules require clear documentation and regular virtual meetings to stay aligned. Additionally, troubleshooting integration issues remotely may involve navigating various system environments without direct on-site access. Proactive communication and the use of collaborative tools help overcome these obstacles and support successful project delivery.

What is a Remote Data Integration Developer?

A Remote Data Integration Developer is an IT professional who specializes in designing, building, and maintaining systems that combine data from different sources, working entirely from a remote location. They use tools and programming languages to create automated data pipelines, ensure data quality, and enable seamless data flow across platforms. Their role is crucial for organizations needing accurate, up-to-date data for analysis and decision-making. Remote Data Integration Developers often collaborate with data engineers, analysts, and stakeholders, using cloud-based tools to facilitate their work.
What cities near Simi Valley, CA are hiring for Remote Data Integration Developer jobs? Cities near Simi Valley, CA with the most Remote Data Integration Developer job openings:
Remote Data Integration Developer jobs near you
Data Engineer

Data Engineer

EDO

Los Angeles, CA • On-site, Remote

$120K - $160K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 12 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 Data Engineer at EDO, you will join a team of talented engineers working closely with Data Scientists to build and scale our next-generation Ad EnGage data pipeline. This pipeline measures and optimizes the effectiveness of advertising by combining and analyzing a wide range of datasets, including advertising occurrence data, outcome data, identity resolution data, and more. Our clients rely on these insights to make critical decisions about their advertising strategy.
You will work with large-scale datasets (hundreds of TBs to petabyte-scale systems) using a modern data stack centered on AWS, Airflow, dbt, and Snowflake. You'll contribute to building reliable, high-quality data pipelines and improving the performance, scalability, and observability of our data platform.
What We Are Looking For
  • 3-6 years of experience as a Data Engineer.
  • Hands-on experience with cloud data platforms (Snowflake or Redshift preferred).
  • Strong understanding of data warehousing concepts and cloud infrastructure (AWS preferred).
  • Experience building and maintaining ETL/ELT pipelines using tools such as Airflow and dbt.
  • Strong SQL skills, including query optimization, data modeling, and working with large datasets.
  • Proficiency in at least one scripting language, preferably Python.
  • Hands-on experience with large-scale, complex data pipelines operating at billions to trillions of rows of data.
  • Ability to work independently on well-scoped projects, collaborate with cross-functional partners, and deliver production-ready solutions.

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 $120,000 to $160,000 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.

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