Staff Data Engineer

Apply now: Sr. Staff Data Engineer, location is Remote. The start date is ASAP for this contract-to-hire position.

Job Title: Sr. Staff Data Engineer
Location-Type: 100% Remote
Start Date Is: ASAP
Duration: Contract to Hire
Compensation Range: $80-90/hr on W2
Benefits: Eligible for Health, Dental, Vision, 401K
Must be authorized to work in the U.S. This position is not eligible for sponsorship .

Job Description:
Seeking a Sr. Staff Data Engineer to design, build, and evolve enterprise-scale data platforms and pipelines that support analytics, reporting, and data-driven decision making. This individual will provide senior-level technical leadership across data ingestion, transformation, storage, and consumption layers while ensuring solutions are scalable, secure, governed, and aligned with enterprise cloud standards.

Day-to-Day Responsibilities:

• Design and develop scalable enterprise data pipelines and data platform solutions
• Build and optimize analytical data models for reporting and business intelligence use cases
• Collaborate with architecture, analytics, governance, and application teams to deliver data solutions
• Implement cloud-native and distributed data processing solutions
• Ensure data quality, reliability, security, and performance optimization across platforms
• Support enterprise data integration initiatives and modernization efforts
• Develop and maintain ETL/ELT workflows and orchestration processes
• Participate in technical architecture discussions and strategic data initiatives
• Mentor engineers and provide technical guidance on best practices and scalable design
• Troubleshoot complex data engineering and platform challenges

Requirements:

• Must-Haves:
  • Bachelor's degree in Computer Science, Engineering, Information Systems, or related field
  • 10 years of professional experience in data engineering, analytics engineering, or data platform development
  • Strong proficiency in SQL and at least one programming language such as Python, Java, or Scala
  • Extensive experience designing and building enterprise data pipelines and analytical data models
  • Hands-on experience with cloud-based data platforms and distributed data processing
  • Strong understanding of data architecture patterns, data integration, and performance optimization
  • Experience with AWS serverless technologies including Glue, Lambda, and Step Functions
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud
  • Experience with containerization technologies including Docker and Kubernetes
  • Strong communication and problem-solving skills with the ability to collaborate across technical and business teams
• Nice-to-Haves:
  • Master's degree in a related field
  • Experience with Infrastructure as Code tools such as Terraform or CloudFormation
  • Experience with CI/CD and deployment automation tools such as Jenkins, GitHub Actions, or Bamboo
  • Familiarity with Agile or Scrum development methodologies
  • Previous mentoring or technical leadership experience
  • Experience supporting enterprise-scale cloud modernization initiatives