Remote Data Engineer – Azure Data & DevOps Pipelines

Fractal; United States; On-site; USD 100,000 - 120,000; Full time

Benefits offered by this job

Health, dental, vision, life insurance

Disability insurance

401(k) Plan

Paid holidays

Parental Leave

PTO

Job summary

Fractal Analytics is seeking a Digital Operations Engineer with strong Data Engineering and DevOps experience to support enterprise data platforms. You will design scalable ETL/ELT pipelines, manage cloud environments, automate deployments, and ensure reliability across data ecosystems.

The role emphasizes hands-on data processing, CI/CD, and Azure-based solutions, with remote work flexibility and a competitive compensation package.

Qualifications

• Strong understanding of Data Engineering concepts and ETL/ELT frameworks.
• Hands-on experience with SQL and database technologies.
• Exposure to Azure Data Engineering services.
• Knowledge of Python or PySpark for data processing and automation.
• Experience with DevOps and CI/CD tools such as Jenkins, GitHub Actions, Git.
• Understanding of cloud platforms, preferably Microsoft Azure.
• Familiarity with monitoring, logging, and operational support processes.
• Basic understanding of APIs, scripting, and automation.

Responsibilities

• 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 and optimize SQL queries, stored procedures, and data models.
• Support enterprise analytics and reporting initiatives by ensuring reliable data availability.
• Monitor and troubleshoot data pipeline failures, performance bottlenecks, and operational issues.
• Support day-to-day operations of digital platforms and data ecosystems.
• Ensure platform stability, reliability, and operational efficiency.
• Implement monitoring, alerting, and incident management processes.
• Perform root cause analysis and issue resolution for operational incidents.
• Collaborate with support, infrastructure, and engineering teams to maintain service availability.
• Support CI/CD pipeline implementation and deployment automation.
• Work with DevOps tools for code integration, release management, and environment deployments.
• Automate operational and deployment processes to improve efficiency and reliability.
• Assist in Infrastructure-as-Code (IaC) and configuration management initiatives.
• Support version control and branching strategies using Git-based repositories.
• Work with cloud-based data platforms and services, preferably Microsoft Azure.
• Support Azure-based data engineering solutions including Databricks, Data Factory, and SQL services.
• Assist in cloud resource optimization, scalability, and security best practices.
• Collaborate with architecture teams on platform improvements and modernization initiatives.
• 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.

Skills

Data engineering concepts

SQL

Azure Data Eng services

Python/PySpark

DevOps/CI-CD

Jenkins

GitHub Actions

Git

Cloud platforms

Monitoring/ops support

APIs/Automation

Tools

Jenkins

GitHub Actions

Git

Terraform

ARM templates

Job description

Fractal Analytics is seeking a Digital Operations Engineer with strong Data Engineering and DevOps experience to support enterprise data platforms. You will design scalable ETL/ELT pipelines, manage cloud environments, automate deployments, and ensure reliability across data ecosystems.

The role emphasizes hands-on data processing, CI/CD, and Azure-based solutions, with remote work flexibility and a competitive compensation package.