Senior Data Engineer

Armanino LLP • Salt Lake City, UT

3d

About The Position

At Armanino, you determine your career path. This means it's possible to pursue challenges you are passionate about, in industries you care about. Armanino is proud to be Among the top 20 Largest Accounting and Consulting Firms in the Nation and one of the Best Places to Work. We have a community of resources that are ready and willing to support your ideas, build your skills and expand your professional network. We want you to integrate all aspects of your life with your career. At Armanino, we know you don’t check-out of life when you check-in at work. That’s why we’ve created a unique work environment where your passions, work, and family & friends can overlap. We want to help you achieve growth by giving you access to a network of smart and supportive people, willing to listen to your ideas.

Requirements

• Bachelor's Degree in Computer Information Systems or a related field or equivalent experience.
• Minimum of 5 years of experience operating production data pipelines end‑to‑end to include but not limited to the following:
• Proven experience applying SDLC best practices in data engineering environments, including experience supporting CI/CD for data engineering workflows
• Hands‑on experience implementing data quality testing and production controls
• Strong SQL and programming experience (e.g., Python)

Nice To Haves

• Experience in regulated or audit‑focused environments
• Familiarity with data governance, lineage, or cataloging workflows
• Experience implementing monitoring, alerting, or observability solutions
• FinOps mindset for data warehouse cost optimization
• Knowledge of data reliability or data quality frameworks
• Experience collaborating with Security or Compliance teams
• Familiarity with change management or release processes in production environments

Responsibilities

• Own end‑to‑end reliability of data pipelines across ingestion, transformation, and serving layers
• Design scalable ELT/ETL pipelines with retry, backfill, and safe reprocessing capabilities
• Implement monitoring, alerting, and incident response patterns to improve pipeline stability
• Enforce SDLC best practices (branching strategy, code reviews, CI/CD, release management)
• Establish traceable change management with documented approvals and rollback plans
• Implement and maintain data quality testing, freshness checks, and anomaly detection
• Detect and manage schema drift and breaking changes proactively
• Improve pipeline observability through monitoring of job failures, anomalies, and cost spikes
• Optimize pipeline performance and warehouse costs through workload tuning and partitioning
• Track and report on reliability KPIs (e.g., pipeline success rate, SLA adherence, MTTR)
• Develop and maintain runbooks, recovery procedures, and operational documentation
• Automate common operational workflows such as backfills and dependency management
• Partner with Analytics Engineering and BI teams to support reliable downstream consumption
• Collaborate with Platform, Governance, and Security teams on controls and audit readiness
• Support delivery of incremental releases to improve stability and reduce operational risk

Benefits

• Medical, dental, vision
• Generous PTO plan and paid sick time
• Flexible work arrangements
• 401K with Profit Sharing
• Wellness program
• Generous parental leave
• 11 paid holidays

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 501-1,000 employees