Senior Data Engineer

Senior Data EngineerJoin our mission to make the world more transparent with data.Spokeo is a people intelligence platform that helps over 18 million monthly visitors reconnect with friends, reunite with families, and build trust in new relationships. Thousands of companies also trust Spokeo's 60 billion public records to improve customer research, help verify information, and prevent fraud.Founded in 2006, Spokeo has built a dedicated, remote-first team with an average tenure of 6.9 years. It has earned recognition from Comparably as a Best Company for Compensation, Employee Happiness, Perks and Benefits, Support for Women, Work-Life Balance, and CEO Leadership.About This OpportunityAs a Senior Data Engineer at Spokeo, you will develop, optimize, and improve our data systems, including ETL pipelines, 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 to ingest, process, and load 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.Create unit and stress-test components to monitor technical performance and ensure that 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:Required: 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.Required: 5+ years of development experience in highly scalable, distributed systems and cluster architectures using AWS and utilizing EMR.Required: 5+ years of hands-on programming experience with Python.Required: 5+ years of professional experience working in big data ecosystems; Spark is required; PySpark is preferable.Required: 5+ years of experience with SQL, schema design, and dimensional data modeling.Required: 5+ years of professional experience working with dataflow orchestration tools, such as Airflow.Required: 2+ years of experience with non-relational databases (e.g., DynamoDB, Elasticsearch, etc.).Required: A bachelor's degree in Computer Science, Information Systems, Mathematics, or a related field is required.Spokeo offers a bonus program, equity plans, and a 401 (k). Once a year, we do a discretionary, merit-based salary increase. Additional benefits include 100% medical/dental/vision coverage and unlimited employee PTO.We extend written offers to candidates who successfully complete their selection process. Offers will depend on several factors, including, but not limited to, marketplace competition, job leveling, experience, and skills.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.Spokeo may use artificial intelligence-enabled tools to support portions of the recruiting process. These tools may help our recruiting team organize, review, and summarize application materials, candidate experience, and interview information. They may also identify potential inconsistencies or verification signals in application materials for further human review.AI-enabled tools assist our recruiting team but do not replace human judgment. Employment decisions are made by people based on a candidate's qualifications and the role's requirements.