Senior Data Engineering Manager

• Posted 1 hour ago • Updated 1 hour ago
Full Time
On-site
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Data Engineering
  • Decision-making
  • Optimization
  • Reporting
  • Mentorship
  • Snow Flake Schema
  • Databricks
  • Microsoft Azure
  • SQL
  • Python
  • Apache Airflow
  • Workflow
  • Orchestration
  • Microsoft Power BI
  • Business Intelligence
  • Extract
  • Transform
  • Load
  • ELT
  • API
  • Data Integration
  • Data Modeling
  • Warehouse
  • Financial Services
  • PySpark
  • Data Processing
  • Artificial Intelligence
  • Analytics
  • Communication
  • Leadership
  • Cloud Computing
  • Data Architecture
  • Innovation
  • Continuous Improvement

Summary

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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91069959
  • Position Id: 22ad7f7ed1e34b921f8f1936a58abbb1
  • Posted 1 hour ago
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