This role is ideal for a seasoned Data Engineering leader with at least 7 years of experience in BI and Data Warehousing, including at least 2 years of direct p
Work type: remote
Location: Remote, United States
Salary: $172,800 – $206,100/yr
Type: Full-time
This role is ideal for a seasoned Data Engineering leader with at least 7 years of experience in BI and Data Warehousing, including at least 2 years of direct people management. You should be a technical expert in the AWS ecosystem with a deep background in big data tools like Spark and Airflow. If you enjoy building scalable data architectures from the ground up while mentoring a cross-functional team, this is a perfect match. The position offers a strong compensation package (up to $206k) with a fully remote US-based work arrangement. Standout perks include 100% covered medical/dental/vision premiums, a bonus program, equity, and unlimited PTO. With an average employee tenure of over five years and multiple "Best Company" awards, this is a stable environment focused on employee satisfaction and technical excellence. **You might be a good fit if you:** * Have mastered AWS-based data lakes, ETL pipelines, and RDBMS/SQL optimization. * Want to lead the strategy for data governance, integrity, and MLOps frameworks. * Are comfortable acting as a bridge between high-level Product Owners and technical engineering teams. * Prefer a "Senior-level" role that balances technical architecture with hands-on leadership.
About Spokeo:
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 Opportunity
Spokeo is seeking a Data Engineering Manager to help build a state-of-the-art analytics platform. As a Data Engineering Manager, you will report directly to our Director of Data Engineering and lead a cross-functional team of data engineers to deliver high-quality, scalable data solutions that meet our data, reporting, and analytics needs. You will provide leadership and technical skills to champion and implement data governance, data integrity, data engineering standards, data integration, and QA best practices. You will partner closely with our Product Owners to understand requirements, provide technical guidance to the team, and ensure the timely delivery of quality solutions.
What you’ll do:
Our mission is to advance transparency, and to achieve that goal, we rally around six core values: listening with empathy, understanding the why, clarifying with data, innovating to learn, collaborating to achieve, and insisting on quality.
As a remote-first company, we are able to hire team members residing in the following US states: AZ, CA, CO, FL, GA, KY, MD, MI, MO, NJ, NV, NC, PA, SC, SD, TX, VA, WA, or WY.
In addition to a highly competitive base salary, our generous benefits include:
Privacy Notice for Candidates: [https://www.spokeo.com/recruiting-policy](https://www.spokeo.com/recruiting-policy)