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. Every day our nimble team takes on enormous challenges in data science that push the limits of the cloud and search architecture.

Note: This is not a corp-to-corp opportunity. Individual applicants only.

As a Data Engineer with the Data Operations Team here at Spokeo, you will be responsible for developing, optimizing, and maintaining the ETL data pipeline. This involves working with infrastructure built in AWS, including Spark EMR, S3, and DynamoDB. This role will help build statistical tools, develop unit and stress tests, and create automation surrounding the orchestration of the ETL data pipeline.

Responsibilities, including estimated time of how much of an average week is spent doing each item. This is subject to change:

• 25% - Build infrastructure and automation for the extraction, preparation, and loading of data from various sources

• 25% - Create unit and stress test components to monitor technical performance and ensure identified issues are resolved

• 10% - Build and maintain data-backed tools to give data insight and capture key metrics

• 20% - Automate and integrate new components into the data pipeline.

• 10% - Use best practices for data governance, data quality, data cleansing, and other ETL-related activities.

• 10% - Maintain technical documentation

Requirements:

• 3+ years of development experience in data engineering
• 3+ years of professional experience working in big data ecosystems, preference for Spark
• 1+ years of professional experience working with dataflow management tools, such as Airflow
• 1+ years experience working with Pentaho (or equivalent tools such as Talend, DataStage, and Informatica)2Hands-on scripting experience with Python, Scala, and/or shell scripting
• Preference for development experience in highly scalable, distributed systems and cluster architectures (e.g., AWS, Azure, Google Cloud, etc.)
• Familiarity with complex NoSQL databases (e.g., DynamoDB, Cassandra, Elasticsearch, etc.)
• Prior experience working with large data sets (>1M+ records)
• B.S. preferred in Computer Science, Information Systems, or related fields (foreign education equivalent accepted)

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.

#LI-Remote

This is a remote position.