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Senior Data Engineer – DataOps

Fetch is seeking a Senior Data Engineer to enhance our DataOps strategy, focusing on the design and construction of high-performance data infrastructure that supports substantial real-time and batch data processing. Join a driven team dedicated to innovating how brands and consumers interact.

Skills

  • Data Engineering
  • Platform Engineering
  • DevOps
  • Python
  • SQL
  • Cloud Infrastructure
  • Containerization
  • Kafka
  • Terraform

Responsibilities

  • Design and maintain scalable data pipelines for batch and streaming workloads.
  • Automate infrastructure provisioning using infrastructure-as-code.
  • Implement data reliability and quality assurance measures.
  • Develop self-service tools for internal stakeholders.
  • Collaborate with cross-functional teams to ensure consistent data access.
  • Mentor peers in DataOps best practices.

Education

  • Bachelor's degree in Computer Science or related field
  • Professional certifications in Data Engineering (preferred)

Benefits

  • Equity participation
  • 401k dollar-for-dollar match up to 4%
  • Comprehensive medical and dental benefits
  • Education reimbursement up to $10,000 per year
  • Flexible paid time off and holidays
  • Robust parental leave policies
  • Cash assistance for new family members
  • Flexible work environment
To read the complete job description, please click on the ‘Apply’ button
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CEO of Fetch
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Wes Schroll
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Average salary estimate

$125000 / YEARLY (est.)
min
max
$110000K
$140000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

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FUNDING
SENIORITY LEVEL REQUIREMENT
TEAM SIZE
SALARY RANGE
$110,000/yr - $140,000/yr
EMPLOYMENT TYPE
Full-time, hybrid
DATE POSTED
June 17, 2025

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