Lead Data Engineer

Position: Lead Data Engineer

Location: Remote, United States

Overview

The team at Edge has partnered with a client who is seeking a Lead Data Engineer to design, build, and optimize scalable data systems that power analytics, business intelligence, and growth across a portfolio of digital products. This is a high-impact role in a fast-paced, data-driven environment where your work will directly influence decision-making across engineering, analytics, and marketing teams.

You’ll take ownership of the data platform, ensuring data is accurate, accessible, and actionable at scale.

Key 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

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• Mentor engineers and help establish data engineering best practices

What Success Looks Like

• Scalable, reliable data pipelines supporting business-critical insights
• Faster, more efficient access to high-quality data across teams
• Improved visibility into user behavior, acquisition, and performance metrics
• Proactive identification and resolution of data issues

Required Qualifications

• 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)

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• 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

Preferred Experience

• 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)

Additional Details

• 100% remote (U.S.-based candidates preferred)
• Full-time opportunity
• Fast-moving interview process with strong visibility and impact