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Engineer III - Platform Data Engineer (Remote)

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Remote

Engineer III - Platform Data Engineer (Remote)

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Engineer III - Platform Data Engineer (Remote)

Skills

Google Cloud PlatformSQL QueriesData EngineeringDockerPythonData AnalysisAIAWSdbtKubernetesApache AirflowComplianceTerraformAzure

1 month ago

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Important information


Contract type:

Permanent

Location:

United States

Work mode:

Remote

Published on:

14 September 2026

What they need


For our client, we are seeking a Engineer III - Platform Data Engineer (Remote) to join the team of a leader in the Information Technology space.

This role will focus on building and supporting the data platform foundation that enables reliable automation, secure data access, and scalable analytics workflows. The engineer will work closely with infrastructure, security, and data stakeholders to strengthen platform performance and operational consistency. It is a highly technical position that blends Python development, cloud infrastructure, and modern data tooling in a remote environment.

The work will also involve mentoring junior engineers and helping drive best practices across platform services.

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

Compensation: $120,000 – $180,000 annually

Responsibilities

  • Deploy and configure core platform tooling including Airflow and Superset
  • Manage infrastructure-as-code for data platforms using Terraform
  • Build and maintain CI/CD pipelines for platform services
  • Implement and enforce platform security and compliance standards
  • Develop data models using DBT and catalog them within OpenMetadata
  • Write efficient Python code for automation and data processing
  • Mentor junior engineers and provide technical leadership

Qualifications

  • Eligible for CJIS clearance; U.S. citizenship or Green Card required
  • Bachelor's degree in Computer Science or a related field
  • 5+ years of infrastructure and data engineering experience
  • Advanced Python programming experience (5+ years)
  • Expert knowledge of Apache Airflow
  • Strong experience with Apache Superset or similar BI platforms
  • Cloud platform expertise across AWS, GCP, Azure, or OCI
  • Proficiency in Infrastructure-as-Code (IaC)
  • Container orchestration experience with Kubernetes and/or Docker
  • Knowledge and experience with DBT and OpenMetadata
  • Expertise in SQL and data modeling
  • Experience with data security and compliance requirements
  • Proven ability to utilize AI technologies for enhanced workflows

Benefits

  • Market leader in compensation and equity awards
  • Comprehensive physical and mental wellness programs
  • Competitive vacation and holidays
  • Paid parental and adoption leaves
  • Professional development opportunities for all employees
  • Employee Networks and volunteer opportunities
  • Vibrant office culture with world-class amenities
  • Great Place to Work Certified globally

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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