Data Engineer

Data Engineering - DevOps

Fractal Analytics is a strategic AI partner to Fortune 500 companies with a vision to power every human decision in the enterprise. Fractal is building a world where individual choices, freedom, and diversity are the greatest assets. An ecosystem where human imagination is at the heart of every decision. Where no possibility is written off, only challenged to get better. We believe that a true Fractalite empowers imagination with intelligence. And that it will be such Fractalites that will continue to build the company for the next 100 years.

Please visit Fractal | Intelligence for Imagination for more information about Fractal.

Location: Remote

Note: This Position Is Not Eligible for Immigration Sponsorship at This Time.

Job Title: Data Engineering - DevOps

Location: Remote

Job Summary

We are seeking a skilled Digital Operations Engineer with strong Data Engineering and DevOps exposure to support enterprise digital operations and cloud-based data platforms. The ideal candidate will have experience in building scalable data pipelines, managing cloud environments, automating deployments, and ensuring operational reliability across data and application ecosystems. This role requires hands-on expertise in data engineering technologies, operational support, CI/CD processes, and cloud platforms.

Key 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 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.

Digital Operations & Monitoring

• 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.

DevOps & Automation

• 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.

Cloud & Data Platform Management

• 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.

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

Technical Skills

• Strong understanding of Data Engineering concepts and ETL/ELT frameworks.

• Hands-on experience with SQL and database technologies.

• Exposure to Azure Data Engineering services such as:

o Azure Databricks

o Azure Data Factory

o Azure SQL / Synapse

• Knowledge of Python or PySpark for data processing and automation.

• Experience with DevOps and CI/CD tools such as:

o Azure DevOps

o Jenkins

o GitHub Actions

o Git

• Understanding of cloud platforms, preferably Microsoft Azure.

• Familiarity with monitoring, logging, and operational support processes.

• Basic understanding of APIs, scripting, and automation.

Preferred Skills

• Exposure to containerization technologies like Docker/Kubernetes.

• Experience with Data Quality validation and monitoring frameworks.

• Familiarity with Infrastructure-as-Code tools such as Terraform or ARM templates.

• Knowledge of Agile delivery methodologies.

• Understanding of cloud security and governance practices.

Pay:

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Fractal, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is: $100,000 - $120,000. In addition, you may be eligible for a discretionary bonus for the current performance period.

Benefits:

As a full-time employee of the company or as an hourly employee working more than 30 hours per week, you will be eligible to participate in the health, dental, vision, life insurance, and disability plans in accordance with the plan documents, which may be amended from time to time. You will be eligible for benefits on the first day of employment with the Company. In addition, you are eligible to participate in the Company 401(k) Plan after 30 days of employment, in accordance with the applicable plan terms. The Company provides for 11 paid holidays and 12 weeks of Parental Leave. We also follow a “free time” PTO policy, allowing you the flexibility to take time needed for either sick time or vacation.

Fractal provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.