Senior Data Engineer

Edge Staffing has partnered with a client seeking a Lead Data Engineer to design, build, and optimize scalable data systems for analytics and business intelligence. This role involves taking ownership of the data platform and ensuring data accuracy and accessibility at scale while mentoring engineers and establishing best practices.

Responsibilities:

• Lead the design and development of scalable ETL/ELT pipelines and data lake architecture
• Own data ingestion, transformation, and modeling for both structured and unstructured data
• Build and optimize high-performance data systems in a cloud-native (AWS) environment
• Partner with analytics and BI teams to deliver clean, query-ready datasets
• Improve data quality, monitoring, and anomaly detection processes
• Support reporting, dashboards, and ad hoc data analysis needs
• Mentor engineers and help establish data engineering best practices

Requirements:

• 5+ years of experience in data engineering within cloud-based environments
• Professional experience in marketing and/or adtech industries with high-volume data exposure
• Strong proficiency in Python and SQL
• Hands-on experience with AWS (S3, Glue, Kinesis, Athena/Presto, or similar)
• Proven experience building and maintaining ETL pipelines and data lakes
• Familiarity with distributed data processing frameworks (e.g., Spark)
• Strong collaboration skills working across engineering, analytics, and business teams
• Experience in high-growth, data-driven environments
• Background in digital media, performance marketing, or AdTech
• Familiarity with BI tools such as Looker (or similar platforms)