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Armanino

Senior Data Engineer

Armanino

. Own end‑to‑end reliability of data pipelines across ingestion, transformation, and serving layers.

Posted 5/9/2026full-timeNew York City • Illinois, New York, Pennsylvania, Texas, Utah • 🇺🇸 United StatesSenior💰 $135,100 - $182,700 per yearWebsite

Tech Stack

Tools & technologies
ETLPythonSDLCSQL

About the role

Key responsibilities & impact
  • 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.

Requirements

What you’ll need
  • 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.
  • 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).
  • Experience with orchestration, monitoring, and performance optimization of data workloads.

Benefits

Comp & perks
  • 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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
ELTETLSQLPythondata quality testingmonitoringincident responseperformance optimizationdata pipelinesSDLC
Soft Skills
collaborationcommunicationproblem-solvingorganizational skillsattention to detail
Certifications
Bachelor's Degree in Computer Information Systems