Data Engineer

Role Overview

You will support enterprise digital operations and cloud-based data platforms as a Data Engineering – DevOps engineer. The role combines data engineering (ETL/ELT pipelines, reliable data availability) with DevOps/operations (CI/CD, automation, monitoring, incident response) to ensure operational reliability across data and application ecosystems.

Responsibilities

Data Engineering & Platform Support

• Design, develop, and maintain scalable ETL/ELT pipelines for enterprise data platforms
• Build and optimize data ingestion, transformation, and integration workflows
• Work with structured and unstructured data across cloud and enterprise systems
• Develop/optimize SQL queries, stored procedures, and data models
• Monitor and troubleshoot pipeline failures, performance bottlenecks, and operational issues
• Enable enterprise analytics and reporting by ensuring reliable data availability

Digital Operations & Monitoring

• Support day-to-day operations of digital platforms and data ecosystems
• Ensure stability, reliability, and operational efficiency
• Implement monitoring, alerting, and incident management
• Perform root cause analysis and resolve operational incidents
• Collaborate with support, infrastructure, and engineering teams to maintain service availability

DevOps & Automation

• Support CI/CD pipeline implementation and deployment automation
• Use DevOps tools for code integration, release management, and environment deployments
• Automate operational and deployment processes to improve efficiency and reliability
• Assist with Infrastructure-as-Code (IaC) and configuration management
• Support Git-based version control and branching strategies

Cloud & Data Platform Management

• Work with cloud-based data platforms, preferably Microsoft Azure
• Support Azure services such as Databricks, Data Factory, and SQL services
• Assist with cloud resource optimization, scalability, and security best practices
• Collaborate on platform improvements and modernization initiatives

Collaboration & Delivery

• Work closely with engineering, analytics, business, and operations teams
• Participate in Agile/Scrum delivery processes and operational reviews
• Document technical processes, deployment procedures, and operational runbooks
• Support continuous improvement and automation initiatives

Required Skills & Qualifications

• Strong understanding of data engineering concepts and ETL/ELT frameworks
• Hands-on SQL and database technology experience
• Exposure to Azure data engineering services, including:
  • Azure Databricks
  • Azure Data Factory
  • Azure SQL / Synapse (mentioned)
• Knowledge of Python or PySpark for data processing and automation
• DevOps and CI/CD tooling experience, including:
  • Azure DevOps
  • Jenkins
  • GitHub Actions
  • Git
• Cloud platform knowledge (preferred Azure)

Nice-to-Haves

• Experience with operational runbooks, incident management, and operational reviews
• Experience with IaC/configuration management initiatives

Notes

• Remote position (United States)
• Not eligible for immigration sponsorship at this time