Spokeo Visa Sponsorship USA
Spokeo is a people search and data technology company that has sponsored both H-1B and Green Card applicants, with a focus on roles in software engineering and data. It's a smaller but active sponsor in the technology sector, making it a realistic target for skilled international candidates in technical fields.
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Get Access To All JobsAbout Spokeo
Join our mission to make the world more transparent with data. Spokeo is a people search engine that helps over 18 million monthly visitors reconnect with friends, reunite with families, and protect against fraud. Additionally, our 12 billion records and over 250 million unique profiles help business professionals locate people and assets, research criminal investigation subjects, and more. Founded in 2006, we have grown to a remote-first company of nearly 200 dedicated employees with an average tenure of 4.5 years. Find out why we were named a “Best Company” for 2023 by Comparably for Women, Compensation, Happiest Employees, Company Perks & Benefits, and Work-Life Balance, as well as “Best CEO” for co-founder Harrison Tang.
About This Opportunity
As a Senior Data Engineer at Spokeo, you will develop, optimize, and improve our data systems such as ETL data, pipeline, 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 for the ingestion, processing, and loading of 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.
- Collaborated with Data Scientists and ML Engineers to design, build, and maintain scalable data pipelines and infrastructure to support end-to-end machine learning workflows (development, training, deployment, and monitoring).
- Create unit and stress test components to monitor technical performance and ensure 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.
- 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 401K matching for qualified roles. Twice a year, we do discretionary, merit-based salary increases. 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. A final offer will depend on several factors, including, but not limited to, marketplace competition, job leveling, the candidate’s experience, skills, etc.
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 all people help us grow, innovate, create the best products, and be relevant in a rapidly changing world.
Recruiters or staffing agencies: Spokeo is not obligated to compensate any external recruiter or search firm who 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.
About Spokeo
Join our mission to make the world more transparent with data. Spokeo is a people search engine that helps over 18 million monthly visitors reconnect with friends, reunite with families, and protect against fraud. Additionally, our 12 billion records and over 250 million unique profiles help business professionals locate people and assets, research criminal investigation subjects, and more. Founded in 2006, we have grown to a remote-first company of nearly 200 dedicated employees with an average tenure of 4.5 years. Find out why we were named a “Best Company” for 2023 by Comparably for Women, Compensation, Happiest Employees, Company Perks & Benefits, and Work-Life Balance, as well as “Best CEO” for co-founder Harrison Tang.
About This Opportunity
As a Senior Data Engineer at Spokeo, you will develop, optimize, and improve our data systems such as ETL data, pipeline, 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 for the ingestion, processing, and loading of 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.
- Collaborated with Data Scientists and ML Engineers to design, build, and maintain scalable data pipelines and infrastructure to support end-to-end machine learning workflows (development, training, deployment, and monitoring).
- Create unit and stress test components to monitor technical performance and ensure 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.
- 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 401K matching for qualified roles. Twice a year, we do discretionary, merit-based salary increases. 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. A final offer will depend on several factors, including, but not limited to, marketplace competition, job leveling, the candidate’s experience, skills, etc.
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 all people help us grow, innovate, create the best products, and be relevant in a rapidly changing world.
Recruiters or staffing agencies: Spokeo is not obligated to compensate any external recruiter or search firm who 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.
Job Roles at Spokeo Companies
How to Get Visa Sponsorship in Spokeo Visa Sponsorship USA
Target engineering and data roles first
Spokeo's sponsorship history is concentrated in technical functions like software development and data infrastructure. If your background is in these areas, you're applying to the part of the company most likely to support a visa petition.
Frame your specialty occupation clearly
For a technology company like Spokeo, H-1B eligibility hinges on your role qualifying as a specialty occupation. Come prepared to articulate how your degree directly relates to your specific job function, not just the industry.
Use verified sponsorship data when job searching
Not every technology company discloses sponsorship willingness upfront. Migrate Mate surfaces verified sponsors so you can filter by real sponsorship history and focus your applications on companies like Spokeo that have a demonstrated track record.
Apply before H-1B cap season closes
Spokeo operates on standard H-1B cap timelines, meaning petitions must be filed for the April lottery window. Target their hiring process in the December through February window to give the company time to complete the filing on your behalf.
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Get Access To All JobsFrequently Asked Questions
Does Spokeo sponsor H-1B visas?
Yes, Spokeo sponsors H-1B visas for qualifying roles in its technology and software operations. Sponsorship is most common in technical positions where a specific degree is required, such as software engineering or data roles. If you're applying for a non-technical position, it's worth confirming sponsorship eligibility directly during the interview process.
What visa types does Spokeo sponsor?
Spokeo has sponsored H-1B visas for temporary work authorization and has filed for Green Cards under the EB-2 and EB-3 employment-based preference categories. The company also recognizes F-1 OPT and TN status, which can serve as a bridge while a longer-term petition is being prepared. Coverage varies by role and department.
Which roles at Spokeo are most likely to receive visa sponsorship?
Based on Spokeo's sponsorship pattern, technical roles in software engineering, data science, and related fields are the most consistent recipients of visa support. These positions align with the specialty occupation standard required for H-1B petitions. Roles in product management or operations may also qualify, but the path is less predictable and worth clarifying early in your application.
How do I find open jobs at Spokeo that offer visa sponsorship?
Migrate Mate is the most direct way to browse verified sponsorship-eligible roles at companies like Spokeo. It filters job listings by confirmed sponsorship history so you're not applying blind. Once you identify a relevant opening, apply directly through Spokeo's careers page and signal your visa status early to confirm the role is eligible before investing significant time.
How do I approach the application process at Spokeo as an international candidate?
Be transparent about your visa status from your first conversation with a recruiter. Spokeo has navigated the sponsorship process before, so framing your situation clearly is more effective than delaying the conversation. Focus your application on technical roles where your degree and job function are tightly aligned, and ask specifically about their internal immigration support process and whether they work with outside counsel.
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