Manager, Data Engineer (Remote - US) Job at Jobgether, Remote

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  • Jobgether
  • Remote

Job Description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Manager, Data Engineer in United States .

This role provides an exciting opportunity to lead and develop a high-performing data engineering team within a fast-paced, technology-driven environment. As Manager, Data Engineer, you will oversee the design, implementation, and maintenance of scalable data pipelines and ETL processes, ensuring data quality, integrity, and security across systems. You will collaborate with cross-functional teams to deliver actionable insights, optimize analytics infrastructure, and support innovative solutions that enhance operational efficiency and customer experience. This position emphasizes leadership, mentorship, and strategic planning, offering the chance to shape the data engineering function and influence key business outcomes. You will work with cutting-edge tools and cloud technologies, driving modernization and adoption of best practices across the department.

Accountabilities:

  • Lead, mentor, and manage a team of data engineers, fostering professional growth and collaboration.
  • Oversee the design, development, and maintenance of scalable ETL pipelines and data systems.
  • Collaborate with internal and external stakeholders to understand data requirements and deliver effective solutions.
  • Ensure data accuracy, security, and integrity across all platforms and workflows.
  • Implement best practices in data engineering, monitoring performance, and optimizing infrastructure.
  • Provide technical leadership and strategic direction for the data engineering team.
  • Drive innovation and process improvement to support operational efficiency and business objectives.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
  • Proven experience as a Senior Data Engineer or similar role, with team leadership responsibilities.
  • Strong proficiency with SQL, Python, Snowflake, and cloud platforms (preferably Azure).
  • Experience with Microsoft Power Platform, including Power BI and Power Apps.
  • In-depth knowledge of data warehousing, ETL processes, and data modeling.
  • Excellent problem-solving, communication, and collaboration skills.
  • Ability to manage multiple projects and priorities in a fast-paced environment.
  • Preferred: experience in the insurance or auto insurance sector, and familiarity with claims systems and processes.

Benefits

  • Competitive salary with annual compensation range $136,325 - $212,175.
  • Comprehensive health, dental, and vision coverage.
  • 401(k) plan with company match and performance-based incentives.
  • Paid time off, vacation, and holidays.
  • Flexibility to work remotely or in-office, with occasional travel.
  • Career growth, mentorship, and professional development opportunities.
  • Inclusive and collaborative work environment with employee engagement programs.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!

 

#LI-CL1

Job Tags

Full time, Work at office, Worldwide,

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