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Data Automation Remote Jobs in California (NOW HIRING)

Spokeo

Senior Data Engineer

Pasadena, CA · On-site +1

$143K - $174K/yr

Founded in 2006, Spokeo has built a dedicated, remote-first team with an average tenure of 6.9 ... This role will help build and improve data products, automation platform features, analytical ...

Spokeo

Senior Data Engineer

Pasadena, CA · Remote

$115K - $157K/yr

Founded in 2006, Spokeo has built a dedicated, remote-first team with an average tenure of 6.9 ... This role will help build and improve data products, automation platform features, analytical ...

Qualitest Group

Automation Test Engineer

Santa Clara, CA · Remote

$54.25 - $71.75/hr

Location: United States (remote) Key Responsibilities * Design, build, and maintain scalable ... Use AI tools to improve test generation, defect analysis, test data management, traceability, and ...

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Data Automation Remote information

What are some typical challenges faced in a Data Automation remote role, and how can they be managed?

In a remote Data Automation role, common challenges include maintaining clear communication with cross-functional teams, managing data security protocols from various locations, and troubleshooting automation scripts without immediate on-site support. To address these, it's important to use robust collaboration tools, establish regular check-ins with your team, and document your automation processes thoroughly. Additionally, staying proactive about cybersecurity best practices and participating in virtual knowledge-sharing sessions can help you stay aligned and effective in a remote environment.

What is a Data Automation Remote job?

A Data Automation Remote job involves designing, implementing, and managing automated processes for handling data, all while working from a remote location. Professionals in this role use software tools and programming languages to streamline data collection, transformation, integration, and reporting tasks. They help organizations save time, reduce errors, and improve data accuracy by automating repetitive or manual data-related workflows. This job often requires knowledge of data management platforms, scripting languages, and cloud-based services. Remote data automation specialists collaborate with teams virtually and may work across various industries.

What are the key skills and qualifications needed to thrive as a Data Automation Specialist in a remote setting, and why are they important?

To excel as a Data Automation Specialist working remotely, you typically need a solid background in data analysis, scripting languages (such as Python or SQL), and a relevant degree in computer science or a related field. Familiarity with automation tools like Alteryx, UiPath, or Apache Airflow, as well as experience with cloud platforms and APIs, is highly valued. Strong problem-solving skills, self-motivation, and effective virtual communication are essential soft skills for thriving in a remote environment. These competencies ensure efficient data workflow automation, smooth collaboration across distributed teams, and successful project delivery.
What are the most commonly searched types of Data Automation jobs in California? The most popular types of Data Automation jobs in California are:
What are popular job titles related to Data Automation Remote jobs in California? For Data Automation Remote jobs in California, the most frequently searched job titles are:
What job categories do people searching Data Automation Remote jobs in California look for? The top searched job categories for Data Automation Remote jobs in California are:
Data Automation Remote jobs near you
Infographic showing various Data Automation Remote job openings in California as of July 2026, with employment types broken down into 92% Full Time, 4% Part Time, 1% Temporary, and 3% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution.
Senior Data Engineer

Senior Data Engineer

Spokeo

Pasadena, CA • On-site, Remote

$143K - $174K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Job description

About Spokeo:
Join our mission to make the world more transparent with data.
Spokeo is a people intelligence platform that helps over 18 million monthly visitors reconnect with friends, reunite with families, and build trust in new relationships. Thousands of companies also trust Spokeo's 60 billion public records to improve customer research, help verify information, and prevent fraud.
Founded in 2006, Spokeo has built a dedicated, remote-first team with an average tenure of 6.9 years. It has earned recognition from Comparably as a Best Company for Compensation, Employee Happiness, Perks and Benefits, Support for Women, Work-Life Balance, and CEO Leadership.
About this Opportunity
As a Senior Data Engineer at Spokeo, you will develop, optimize, and improve our data systems, including ETL pipelines, storage, and entity resolution. This involves working with infrastructure built in AWS, including Airflow, PySpark, EMR, S3, DynamoDB, and more. This role will help build and improve data products, automation platform features, analytical software packages, and data pipeline orchestration tools.
What You'll Do:
  • Build infrastructure and data automation pipelines to ingest, process, and load data from various sources. Automate and integrate new components into the data pipeline.
  • Collaborate with stakeholders and data science teams to develop data products, including entity resolution and best selection, to efficiently execute product vision and strategy in alignment with organizational goals and priorities.
  • Create unit and stress-test components to monitor technical performance and ensure that identified issues are resolved.
  • Develop data analysis tools to provide data insights and capture key metrics.
  • Research solutions and maintain technical documentation.
  • Follow best practices for data governance, quality, cleansing, and other ETL-related activities.

Who You Are:
  • 7+ years of development experience in data engineering within a production environment (internships and academic settings excluded).
  • Proven experience working with large datasets exceeding 100M+ records or multiple terabytes.
  • 2+ years of development experience in highly scalable, distributed systems and cluster architectures using AWS and utilizing EMR.
  • 5+ years of hands-on programming experience with Python.
  • 5+ years of professional experience working in big data ecosystems; Spark is required; PySpark is preferable.
  • 3+ years of experience with SQL, schema design, and dimensional data modeling.
  • 2+ years of professional experience working with dataflow orchestration tools, such as Airflow.
  • 2+ years of experience with non-relational databases (e.g., DynamoDB, Elasticsearch, etc.).
  • A bachelor's degree in Computer Science, Information Systems, Mathematics, or a related field is required.

Working at Spokeo
Spokeo offers a bonus program, equity plans, and a 401 (k). Once a year, we do a discretionary, merit-based salary increase. Additional benefits include 100% medical/dental/vision coverage and unlimited employee PTO.
Spokeo extends written offers to candidates who successfully complete their selection process. Spokeo's offers include a base salary, participation in a company bonus program, stock options, and comprehensive benefits. The final offer will depend on several factors, including marketplace competition, job level, and the candidate's experience and skills.
Privacy Notice for Candidates: https://www.spokeo.com/recruiting-policy
Spokeo is an equal-opportunity employer. Applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or protected veteran status. Spokeo fosters a business culture where ideas and decisions from everyone help us grow, innovate, create the best products, and remain relevant in a rapidly changing world.
Recruiters or staffing agencies: Spokeo is not obligated to compensate any external recruiter or search firm that presents a candidate or their resume or profile to a Spokeo employee without 1) a current, fully executed agreement on file, and 2) being assigned to the open position (as a search) via our applicant tracking solution.
#LI-Remote
Department Data Role Data Engineer Locations Remote, United States Remote status Fully Remote Yearly salary $143,100 - $174,600

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