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SpokeoSP

Senior Data Engineer

Spokeo, Inc. is a premier people search engine that aids over 18 million users monthly in reconnecting with friends and family, while also protecting against fraud and serving business intelligence needs.

Spokeo

Employee count: 201-500

United States only

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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.

About the job

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Posted on

Job type

Full Time

Experience level

Senior

Location requirements

Hiring timezones

United States +/- 0 hours

About Spokeo

Learn more about Spokeo and their company culture.

View company profile

At Spokeo, we’re passionate about advancing transparency through data technology. Founded in 2006, we have established ourselves as a leading people search engine, helping over 18 million visitors each month reconnect with friends, reunite with family, and protect against fraud. Our platform aggregates data from a myriad of sources, enabling users to retrieve concise, easy-to-understand reports that typically include contact information, background checks, and even social media profiles.

Spokeo holds access to more than 12 billion records and over 250 million unique profiles, providing critical insights not only for individuals but also for business professionals. Whether someone is trying to find a long-lost friend or a company is performing due diligence on a client, our service meets a wide range of needs. We take pride in delivering tools that ensure user privacy while enabling users to navigate their personal connections in the digital world safely. Our commitment to innovation and exceptional user experience has earned us recognition, making us a “Best Company” for 2023 in various fields, including for Women, Compensation, and Work-Life Balance.

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Spokeo hiring Senior Data Engineer • Remote (Work from Home) | Himalayas