Senior Data Engineer

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Spokeo is a people search engine that helps over 18 million monthly visitors reconnect with friends, reunite with families, and protect against fraud. 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.

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, Dynamo

DB, and more. This role will help build and improve data products, automation platform features, analytical software packages, and data pipeline orchestration tools.

• 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.

• 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., Dynamo
  
  DB, Elasticsearch, etc.).
• A bachelor’s degree in Computer Science, Information Systems, Mathematics, or a related field is required.

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:

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.