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Data Engineering Manager (Remote) – Work At Home – Indeed Jobs US

Work from home Full-time role Hiring
September 12, 2025

We are seeking an experienced and forward-thinking Data Engineering Manager to lead our distributed data engineering team. This full-time remote role is perfect for someone passionate about data architecture, analytics, and leading scalable systems that power business decisions. If you're excited about remote work, data innovation, and empowering a team, this is your opportunity.

Job Description

As the Data Engineering Manager, you’ll oversee the development, implementation, and optimization of scalable data infrastructure. You will guide engineers on architecture best practices, ensure data integrity across systems, and align data strategy with business goals. This role combines strong technical expertise with leadership skills to grow a high-performing team in a fully remote environment.

Key Responsibilities

  • Lead and mentor a remote team of data engineers, providing technical direction and career development.

  • Design, implement, and optimize scalable data pipelines and architectures using modern technologies.

  • Collaborate with data scientists, analysts, and business stakeholders to understand data requirements.

  • Ensure data accuracy, security, and accessibility across data platforms.

  • Define and implement data engineering best practices, coding standards, and process improvements.

  • Oversee ETL/ELT processes, data warehousing solutions, and data lake architectures.

  • Manage data infrastructure on cloud platforms (AWS, GCP, or Azure).

  • Coordinate sprint planning, code reviews, and engineering delivery timelines.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field.

  • 7+ years of experience in data engineering, including 2+ years in a leadership or management role.

  • Strong experience with Python, SQL, Spark, and data modeling.

  • Familiarity with modern data stack: Airflow, dbt, Kafka, Redshift, BigQuery, or Snowflake.

  • Expertise in building and managing scalable data platforms on the cloud.

  • Excellent communication and leadership skills in a remote-first environment.

  • Experience working with cross-functional teams in agile development environments.

Benefits

  • Fully remote work – flexible hours and location.

  • Competitive base salary with annual bonus potential.

  • Health, dental, and vision insurance coverage.

  • 401(k) with employer matching.

  • Generous paid time off and holidays.

  • Professional development support and certification reimbursement.

  • Inclusive culture and tech-driven environment.

Company Overview

We are a tech-driven enterprise committed to harnessing the power of data for smarter decision-making. Our teams are globally distributed and unified by a mission to simplify complex challenges through innovative data solutions. As a fully remote organization, we prioritize flexibility, autonomy, and a results-oriented work culture. Join us to build the future of data—anywhere you work best.

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