Amazon Simple Storage Service (S3), Apache Airflow, AWS, Big Data Technology, Data Engineering, Data pipelines, DynamoDB, Elasticsearch, ETL frameworks, PySpark, Python Programming, SPARK Programming, SQL
As a Senior Data Engineer at Spokeo, you will develop, optimize, and maintain 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.
What You'll Do: This includes an estimate of where time will be spent. This is subject to change:
Requirements:
Named Best Company for 2023 by Comparably in the areas of Perks & Benefits, Happiness, Compensation, and Work-Life Balance.
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 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 a people search engine that both enlightens and empowers our customers. With over 12 billion records and 18 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.