Data-DevOps Engineer

Role Overview

• Develop, optimize, and maintain complex SQL queries, views, and python-based notebooks
• Build and support ELT data pipelines from structured and unstructured data sources
• Work with Databricks to source data from relational databases to store, retrieve, and transform data efficiently
• Collaborate with analysts and stakeholders to interpret business requirements, translate them into efficient data models, and build scalable SQL logic that supports analytics, reporting, and downstream consumption
• Support production workloads, including triaging failed jobs, root-cause analysis, and implementing long‑term stability improvements
• Use Azure DevOps for source control, build and release pipelines, and CI/CD workflows
• Maintain and expand Infrastructure as Code (IaC) to support consistent, repeatable environment provisioning and configuration
• Contribute to the enhancement, optimization, and ongoing maintenance of existing CI/CD pipelines
• Support deployment and release processes across development and production environments
• Create, maintain, and update environment and release documentation, including deployment notes, pipeline changes, and release announcements
• Partner with data engineers and analysts to understand data requirements
• Document data and release pipelines, database structures, and operational processes
• Participate in agile ceremonies such as sprint planning and daily standups
• Ensure high‑quality delivery by following established engineering standards and contributing to the continuous improvement of workflows
• Contribute to knowledge sharing by updating internal documentation and code as systems evolve
• Assist with incident triage, troubleshooting, and post‑release validation under guidance from senior team members

Requirements

• Bachelor’s degree in Computer Science, Information Systems, Data Engineering or a related field (or equivalent work experience)
• Hands‑on experience with RDBMS platforms (cloud‑based preferred)
• Strong SQL skills, including writing complex queries, joins, subqueries, CTEs, and performance‑optimized queries for relational databases
• Hands-on experience with Azure DevOps (or minimally GitHub), including building release pipelines, as well as build, test and deployment automation
• Experience working with Python in notebooks or scripts to support data engineering workflows
• Familiarity with Terraform and Infrastructure as Code (IaC) concepts, including understanding how infrastructure is defined and managed in code
• Strong communication and interpersonal skills
• Ability to work effectively in a fast-paced and collaborative environment

Tech Stack

• Azure
• Cloud
• Python
• RDBMS
• SQL
• Terraform

Benefits

• Competitive pay
• Bonus plan
• Medical, dental, and vision insurance
• Paid time-off in year of hire
• 401(k) with employer match