Manager, Data Engineering

Solovis

• $125K — $150K *
US-AnywhereRemote in United States
Information Technology
Less than 5 years of experience
Today
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Job Overview by Ladders

Qualifications

  • 5-7 years of experience in data engineering and team leadership
  • Proficiency in Python and Java for programming
  • Strong knowledge of ETL/ELT pipelines and data validation practices
  • Experience with PostgreSQL and SQL optimization
  • Familiarity with AWS Cloud and cloud-based data solutions
  • Hands-on expertise with Docker, Kubernetes, and CI/CD tools like GitLab
  • Experience with AI coding tools like Claude Code for development support

Responsibilities

  • Define and enforce technical standards and best practices for data pipelines
  • Lead design evaluations and make key technical decisions on ETL/ELT systems
  • Engage in hands-on coding: conduct code reviews and develop essential data infrastructure
  • Ensure production excellence through effective monitoring and incident management
  • Collaborate with product and engineering teams to align on data needs and roadmap

Benefits

  • Opportunity to lead and build a high-performing data engineering team
  • Combination of technical leadership and management responsibilities
  • Focus on innovation with hands-on development alongside team management
  • Engagement with cross-functional teams for strategic data initiatives
  • Access to advanced tools and technologies for professional growth
Full Job Description
Manager, Data Engineering

This role leads and builds a world-class data engineering team while driving the design, development, and operational excellence of our data platform. This role combines hands-on technical leadership with people management, responsible for hiring top talent, developing engineers, establishing team practices, and ensuring the delivery of scalable, reliable data infrastructure.

Key Responsibilities
  • Define technical standards, architecture, and best practices for data pipelines.
  • Lead design reviews and own technical decisions for ETL/ELT systems.
  • Contribute hands-on: code-review, design, and develop critical data infrastructure.
  • Drive production excellence, monitoring, and incident response.
  • Partner with product and engineering teams on data requirements and roadmap.


Skills
  • Programming: Python, Java
  • Data Engineering: ETL/ELT pipelines, batch processing, data validation, data quality checks, data reconciliation
  • Databases: PostgreSQL, SQL query optimization
  • Cloud: AWS Cloud
  • Containers & Orchestration: Docker, Kubernetes, AKS
  • CI/CD: GitLab pipelines
  • DevOps / Operations: Monitoring, troubleshooting, production support, runbooks
  • AI-assisted development: Claude Code or similar AI coding tool


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* Ladders Estimates

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