Sr. Engineer - Platform Data Engineer (Remote)

Ladders

United States

Remote

USD 140,000 - 215,000

Full time

20 hours ago
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Benefits offered by this job

Equity awards
Wellness programs
Vacation & holidays
Parental leave
Professional development
Networking opportunities
Office culture
Great Place to Work Certification

Job summary

Ladders is seeking a Sr. Engineer - Platform Data Engineer (Remote) to build and support data platform foundations enabling reliable, secure analytics and workflow execution.

The engineer will work across infrastructure, data engineering, and security to automate operations, improve data delivery, and strengthen platform performance. Responsibilities include deploying Airflow, managing Terraform IaC, building CI/CD pipelines for data workflows, and enforcing security and compliance.

Qualifications

  • Eligibility for CJIS clearance; U.S. citizenship or Green Card required
  • Bachelor's degree in Computer Science or a related field
  • 8+ years of experience in infrastructure and data engineering
  • Advanced Python programming skills with 5+ years of experience
  • Expertise in deploying and managing Apache Airflow
  • Strong experience with BI tools such as Apache Superset
  • Cloud platform experience across AWS, GCP, Azure, or OCI
  • Proficiency in Infrastructure as Code
  • Experience with container orchestration using Kubernetes and Docker
  • Knowledge of DBT and OpenMetadata
  • Strong SQL and data modeling expertise
  • Experience with data security and compliance

Responsibilities

  • Deploy and configure core platform tools such as Airflow and BI reporting platforms
  • Manage infrastructure as code for data components with Terraform
  • Build and maintain CI/CD pipelines for data workflows
  • Implement and enforce platform security and compliance standards
  • Develop data models using DBT and catalog insights with OpenMetadata
  • Write Python code for automation and data processing
  • Mentor junior engineers and provide technical guidance

Skills

Python
Airflow
SQL
Data Modeling
Kubernetes
Docker
IaC
Security & Compliance

Education

Bachelor's degree in CS or related field

Tools

Terraform
DBT
OpenMetadata
Superset
Airflow
Terraform
Docker
Kubernetes

Job description

For our client, we are seeking a Sr. Engineer - Platform Data Engineer (Remote) to join the team of a leader in the Information Technology space. This remote role will focus on building and supporting the data platform foundations that enable reliable, secure, and scalable analytics and workflow execution. The engineer will work across infrastructure, data engineering, and security to automate operations, improve data delivery, and strengthen platform performance. This position also partners closely with engineering and data stakeholders to maintain high standards for compliance, observability, and developer efficiency. Location: Remote - US based candidates only, no visa sponsorship available. Compensation: $140,000 - $215,000 annually.

Responsibilities
  • Deploy and configure core platform tools such as Airflow and BI reporting platforms
  • Manage infrastructure as code for data components with Terraform
  • Build and maintain CI/CD pipelines for data workflows
  • Implement and enforce platform security and compliance standards
  • Develop data models using DBT and catalog insights with OpenMetadata
  • Write Python code for automation and data processing
  • Mentor junior engineers and provide technical guidance
Qualifications
  • Eligibility for CJIS clearance; U.S. citizenship or Green Card required
  • Bachelor's degree in Computer Science or a related field
  • 8+ years of experience in infrastructure and data engineering
  • Advanced Python programming skills with 5+ years of experience
  • Expertise in deploying and managing Apache Airflow
  • Strong experience with BI tools such as Apache Superset
  • Cloud platform experience across AWS, GCP, Azure, or OCI
  • Proficiency in Infrastructure as Code
  • Experience with container orchestration using Kubernetes and Docker
  • Knowledge of DBT and OpenMetadata
  • Strong SQL and data modeling expertise
  • Experience with data security and compliance
Benefits
  • Market-leading compensation and equity awards
  • Comprehensive physical and mental wellness programs
  • Competitive vacation and holidays
  • Paid parental and adoption leave
  • Professional development for all employees
  • Employee networking and volunteer opportunities
  • Vibrant office culture with premium 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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