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Managing Engineer, Data Engineering

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Remote

Managing Engineer, Data Engineering

Ladders

Managing Engineer, Data Engineering

Skills

SQL QueriesData EngineeringDockerPythonJavaKafkaScalaKubernetesCompliance

13 days ago

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Important information


Contract type:

Permanent

Location:

United States

Work mode:

Remote

Published on:

8 October 2026

What they need


For our client, we are seeking a Managing Engineer, Data Engineering to join the team of a leader in the Finance & Insurance space.

This role will guide a data engineering team responsible for building and supporting scalable data solutions that power business operations and decision-making.

You will set engineering standards, strengthen delivery practices, and partner closely with cross-functional stakeholders to improve the reliability, security, and performance of data platforms.

The position also combines hands-on technical leadership with mentoring responsibilities, helping ensure strong production support, sound data governance, and durable pipeline architecture.

Location: Remote - US based candidates only, no visa sponsorship available

Compensation: $120,000 – $193,725 annually

Responsibilities

  • Lead and mentor Data Engineers, supporting professional growth and technical development
  • Establish engineering standards and promote best practices across the team
  • Design and implement scalable batch and streaming data solutions
  • Integrate data from multiple sources while ensuring reliability and security
  • Optimize data pipelines and support production operations during incidents
  • Collaborate with cross-functional teams to align on data priorities
  • Promote data governance and ensure compliance with security standards

Qualifications

  • 5-7 years of experience in data solutions and enterprise software systems
  • 1-3 years of technical leadership or mentorship experience
  • Strong hands-on skills in Python, Java, or Scala for data pipeline development
  • Experience with Apache technologies such as Spark and Kafka
  • Proficiency in SQL, NoSQL databases, and data modeling concepts
  • Familiarity with Docker and Kubernetes for containerization
  • Strong communication and stakeholder management skills

Benefits

  • Comprehensive technology setup including laptop and monitors
  • Monthly connectivity reimbursement for remote work
  • Support for a dedicated workspace and reliable internet requirements
  • Opportunities for continuous learning and professional development

Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.

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