Senior Data Engineer at Spokeo

This role is ideal for a seasoned Data Engineer with at least 7 years of experience who thrives on managing massive datasets (100M+ records). You should be a Spark expert with a deep background in Python and AWS, specifically comfortable building and optimizing distributed systems and ETL pipelines that support machine learning workflows. The position offers a strong remote-first culture with a competitive salary range of $117k - $183k plus bonuses and equity. Standout perks include 100% covered medical/dental/vision premiums and a proven track record of employee satisfaction, as evidenced by their 4.5-year average tenure and "Best Company" awards for work-life balance. **You might be a good fit if you...** * Have 5+ years of hands-on experience with Python and PySpark in big data environments. * Are proficient in AWS infrastructure, including EMR, S3, and DynamoDB. * Have managed orchestration tools like Airflow for complex, high-volume data flows. * Excel at collaborating with Data Scientists to transition ML models into scalable production pipelines.