Data Engineering Manager

Afresh is seeking a Data Engineering Manager to lead the team responsible for integrating customers onto the company's platform and improving data processes and code. The role involves owning the full lifecycle of customer data integrations, building core dataflows, and driving integration velocity.

Requirements

• 3+ years of engineering management experience
• Strong technical background in data engineering: experience with Python, PySpark, SQL, dbt, Airflow, and modern data platforms (Databricks, Snowflake, or similar)
• Track record of shipping high-quality data integrations or ETL systems at scale, and a deep understanding of what makes data pipelines reliable
• Experience managing execution across multiple concurrent projects with different customers or stakeholders, balancing competing priorities with clear communication
• Demonstrated ability to improve team velocity through better tooling, process improvements, or automation
• Genuine enthusiasm for AI-augmented engineering workflows
• Comfort working with messy, real-world data from enterprise customers, and the pragmatism to ship solutions that work without over-engineering
• Strong collaboration skills: you're effective working across engineering, product, and customer-facing teams in a fast-paced environment

Benefits

• Generous Paid Time Off
• 401k Matching
• Retirement Plan
• Tuition Reimbursement
• Relocation Assistance