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Staff Data Engineer

Ladders
Department:Data Engineer
Type:REMOTE
Region:USA
Location:United States
Experience:Mid-Senior Level
Salary:$135,000 - $160,000
Skills:
DATABRICKSSPARKPYTHONSCALAJAVASQLNOSQLKAFKAETLELTDATA PIPELINESDATA MODELING
👁️ Views: 12🚀️ Applied: 2
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Job Description

Posted on: August 24, 2026

For our client, we are seeking a Staff Data Engineer to join the team of a leader in the Enterprise Technology space. This role will lead work at the intersection of data, AI-enabled capabilities, and scalable technology delivery. You will partner with business, technical, and operational stakeholders to build reporting, surface trends, and translate analysis into action. The position offers the opportunity to strengthen data-driven execution and help teams focus on the metrics that matter most within a technology-driven environment.

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

Compensation: $135,000 – $160,000 annually

Responsibilities

  • Design, build, and maintain scalable data pipelines and ETL/ELT processes
  • Architect and optimize data models and storage solutions for different use cases
  • Collaborate with data scientists, analysts, and engineers to ensure data quality
  • Own and evolve parts of the data platform using Databricks and Spark
  • Implement observability and data quality monitoring for critical pipelines
  • Drive best practices in data engineering including CI/CD and documentation
  • Contribute to the design of the next-generation data lakehouse architecture

Qualifications

  • 8+ years of experience in Data Engineering or a related backend engineering role
  • Bachelor's degree in Computer Science, Engineering, or a similar technical field
  • Expertise in tuning Spark jobs and managing Delta Lake architecture
  • Experience with AI-assisted development tools and AI/ML technologies
  • Strong programming skills in Python, Scala, or Java
  • Experience with distributed data systems like Spark or Kafka
  • Proficient in writing and optimizing complex SQL and NoSQL queries

Benefits

  • Parental leave policy
  • Paid volunteer time off (VTO)
  • Diversity and inclusion working groups
  • Flexible working practices
  • Recognition as a leader in software supply chain security and diversity initiatives

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.

Originally posted on LinkedIn

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👁️ Views: 12🚀️ Applied: 2
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