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Senior Data Engineering Manager

Turn2PartnersDC🇺🇸United StatesPosted 17 Aug 2026

Quick Overview

Work Type
Hybrid
Level
Mid Senior

Job Description

Role: Senior Data Engineering Manager (Individual Contributor)

Location: Hybrid (Washington, DC Metro)

Type: Full-Time

About the Team:
Join a technology team responsible for delivering modern cloud-based data platforms that support enterprise analytics and business decision-making. You'll work closely with engineering and business partners to build reliable, scalable data solutions in a collaborative environment.

What You'll Do:
  • Lead the design, maintenance, and optimization of a modern cloud data platform.
  • Build and support scalable data pipelines, orchestration workflows, and automated data processing.
  • Develop high-quality data models and transformation frameworks for reporting and analytics.
  • Improve platform reliability, monitoring, and operational performance across production environments.
  • Partner with technical and business stakeholders to translate requirements into scalable solutions.
  • Support integrations between enterprise systems, APIs, and reporting platforms.
  • Mentor team members and promote engineering best practices across distributed teams.

Core Tech & Skills:
  • Snowflake or Databricks
  • Microsoft Azure or other major cloud platforms
  • SQL
  • Python
  • Apache Airflow or similar workflow orchestration tools
  • dbt or modern data transformation frameworks
  • Power BI or enterprise BI platforms
  • ETL/ELT pipeline development
  • API and data integration experience
  • Data modeling and warehouse architecture

Nice to Have:
  • Financial services or highly regulated industry experience
  • PySpark or distributed data processing
  • Exposure to AI-enabled analytics or data products
  • Experience working with globally distributed engineering teams
  • Strong stakeholder communication and leadership skills

Why It's Great:
  • Own a highly visible enterprise data platform with significant business impact.
  • Work with modern cloud technologies and evolving data architecture.
  • Join a collaborative engineering culture that values ownership, innovation, and continuous improvement.

Skills

SQL
ETL
Snowflake
Airflow
Apache
Azure
Continuous Improvement
Databricks
Power BI
Python
dbt

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