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Data Engineer (Remote - US)
Data Engineer (Remote - US)Jobgether • US
Data Engineer (Remote - US)

Data Engineer (Remote - US)

Jobgether • US
30+ days ago
Job type
  • Full-time
  • Remote
  • Quick Apply
Job description

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

As a Data Engineer, you’ll play a pivotal role in designing and scaling a data platform that empowers teams with reliable, high-quality data. You will define the technical vision, drive architectural decisions, and guide squads in solving complex data challenges across distributed systems. This role combines hands-on engineering with strategic influence — ensuring scalability, security, and efficiency across all data services. You’ll collaborate closely with engineers, analysts, and business leaders while mentoring others to raise the bar in technical excellence.

Accountabilities :

  • Define and implement the data platform’s long-term technical roadmap to ensure reliability, scalability, and performance.
  • Lead architectural decisions, advising on data storage formats, frameworks, and governance standards.
  • Drive cross-team initiatives to improve observability, schema consistency, and platform automation.
  • Partner with stakeholders to deliver self-service data tooling that enhances operational efficiency.
  • Continuously improve system maintainability, reliability, and cost efficiency through automation and modern engineering practices.
  • Act as a mentor and coach to other engineers, fostering technical growth and high-quality development practices.
  • Evaluate new technologies to enhance platform performance, security, and developer experience.
  • Support incident management and participate in on-call rotations to maintain platform resilience.

Requirements

  • 8+ years of experience in data engineering with a focus on large-scale, cloud-based infrastructure.
  • Proven expertise in distributed systems and tools such as AWS, EMR, Glue, Kafka, Iceberg, and dbt .
  • Strong understanding of data architecture patterns (e.g., medallion / lakehouse, schema evolution, streaming ingestion).
  • Proficiency in CI / CD, version control, observability, and incident management frameworks.
  • Experience developing engineering standards or frameworks used across multiple teams.
  • Excellent communication and leadership skills, with the ability to influence across technical and non-technical audiences.
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
  • Experience in regulated industries (e.g., healthcare, finance) is a plus.
  • Fully remote position, with up to 5% domestic travel.

    • Benefits

  • Competitive annual salary range of $170,000 – $185,000 , based on experience and qualifications.
  • Comprehensive medical, dental, vision, life, and disability insurance , plus Employee Assistance Program.
  • 401(k) plan with company match, along with flexible spending and health savings accounts.
  • Up to 23 days of PTO per year , in addition to company holidays.
  • Up to 14 weeks of paid parental leave .
  • Fully remote and flexible work environment that prioritizes work-life balance.
  • Opportunity to work on innovative, high-impact data solutions within a fast-growing, mission-driven team.

    • 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 complete, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or assessments) are handled by their internal hiring team.

    Thank you for your interest!

    #LI-CL1

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    Data Engineer Remote • US