Spokeo

Pasadena, CA
51-200 employees
People search engine and free white pages finds phone, address, email, and photos. Find people by name, email, address, and phone for free.

Senior Data Engineer

Senior Data Engineer

This job is no longer open

Spokeo is a people search engine that both enlightens and empowers our customers. With over 12 billion records and 14 million visitors per month, we reconnect friends, reunite families, prevent fraud, and more.

As a Data Engineer at Spokeo, you will be responsible for developing, optimizing, and maintaining the ETL data pipeline. This involves working with infrastructure built in AWS, including Airflow, PySpark, EMR, S3, DynamoDB, and more. This role will help build and improve automation platform features, analytical software packages, and data pipeline orchestration tools.

Responsibilities:

  • 40% - Build infrastructure and data automation pipeline for the extraction, preparation, and loading of data from various sources. Automate and integrate new components into the data pipeline.

  • 30% - Implement robust ETL processes to efficiently execute product vision and strategy in alignment with organizational goals and priorities.

  • 10% - Create unit and stress test components to monitor technical performance and ensure identified issues are resolved.

  • 10% - Develop data analysis tools to provide data insights and capture key metrics.

  • 10% - Research solutions and maintain technical documentation.

  • Follow best practices for data governance, data quality, data cleansing, and other ETL-related activities.

Requirements:

  • 7+ years of development experience in data engineering.

  • 5+ years of hands-on programming experience with Python.

  • 5+ years of professional experience working in big data ecosystems, preferably with Spark

  • 3+ years experience with SQL, schema design, and dimensional data modeling.

  • 2+ years of professional experience working with dataflow management tools, such as Airflow

  • 2+ years of development experience in highly scalable, distributed systems and cluster architectures using AWS.

  • 2+ years experience with non-relational databases (e.g., DynamoDB, Elasticsearch, etc.)

  • Prior experience working with large data sets (>100M+ records)

  • B.S. in Computer Science, Information Systems, or related fields

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% coverage for medical/dental/vision for all employees and unlimited 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.

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This job is no longer open
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