Remote Data Engineer – Azure Data & DevOps Pipelines

Fractal

United States

On-site

USD 100,000 - 120,000

Full time

14 days+

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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.