Databricks DE with Azure

Fractal Analytics; United States; On-site; USD 120,000 - 140,000; Full time

Benefits offered by this job

Health, dental, vision, life insurance

401(k) Plan

11 paid holidays

12 weeks of Parental Leave

Free time PTO

Job summary

Fractal Analytics is seeking an Azure Databricks Data Engineer to design, develop, and maintain scalable data solutions in the cloud. The role emphasizes Databricks, PySpark, and data pipelines across analytics and AI initiatives.

You will collaborate with stakeholders, architects, and data teams to deliver high-quality platforms, enforce data quality, and support reporting and decision-making in a fast-paced environment.

Qualifications

• Bachelor’s or Master’s degree in CS/IT/Engineering or related field.
• 6-10 years of experience in Data Engineering and Analytics.
• Minimum 3+ years hands-on experience with Azure Databricks.
• Strong experience with PySpark, SQL, and cloud-native data platforms.
• Experience building enterprise-scale data lakes and data warehouses.

Responsibilities

• Design, build, and optimize scalable data pipelines using Azure Databricks.
• Develop ETL/ELT workflows for large-scale datasets.
• Implement batch and real-time data processing with PySpark and Spark SQL.

Skills

PySpark

Spark SQL

Delta Lake

ETL/ELT Pipeline Development

Data Modeling

Data Warehousing Concepts

Data Governance and Data Quality

Agile delivery environments

Python

SQL

Education

Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, or related field

Tools

Azure Databricks

Azure Data Factory

Azure Data Lake Storage Gen2

Azure Synapse Analytics

Azure Key Vault

Azure Monitor

Azure DevOps

Git

CI/CD Pipelines

Terraform

Job description

It’s fun to work in a company where people truly BELIEVE in what they are doing!

We’re committed to bringing passion and customer focus to the business.

Azure Databricks Data Engineer

Fractal 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 is the one who empowers imagination with intelligence. Fractal has been featured as a Great Place to Work by The Economic Times in partnership with the Great Place to Work® Institute and recognized as a ‘Cool Vendor’ and a ‘Vendor to Watch’ by Gartner.

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

Please Note: We are not offering sponsorship at this time.

Role Overview

We are seeking an experienced Azure Databricks Data Engineer to design, develop, and maintain scalable cloud-based data solutions. The ideal candidate will have strong expertise in Azure Data Engineering technologies, Databricks, data pipelines, data warehousing, and big data processing. This role involves collaborating with business stakeholders, architects, data scientists, and application teams to deliver high-quality data platforms that support analytics and AI initiatives.

Key Responsibilities

• Design, build, and optimize scalable data pipelines using Azure Databricks.
• Develop ETL/ELT workflows for large-scale structured and unstructured datasets.
• Implement batch and real-time data processing solutions using PySpark and Spark SQL.
• Build and maintain data ingestion frameworks from multiple data sources.
• Develop and manage data lake solutions using Azure Data Lake Storage (ADLS Gen2).
• Integrate data from cloud and on-premises systems into enterprise data platforms.
• Implement data quality, validation, and monitoring frameworks.
• Optimize Spark jobs for cost, scalability, and performance.
• Design dimensional models and support data warehouse initiatives.
• Collaborate with business users to understand reporting and analytics requirements.
• Automate deployment processes using CI/CD pipelines.
• Participate in architecture discussions and provide technical leadership to junior engineers.
• Ensure adherence to security, governance, and compliance standards.

Required Technical Skills

Azure Services

• Azure Databricks
• Azure Data Factory (ADF)
• Azure Data Lake Storage Gen2 (ADLS)
• Azure Synapse Analytics
• Azure Key Vault
• Azure Monitor
• Azure DevOps

Data Engineering

• PySpark
• Spark SQL
• Delta Lake
• ETL/ELT Pipeline Development
• Data Modeling
• Data Warehousing Concepts
• Data Governance and Data Quality

Programming

• Python
• SQL
• Scala (Preferred)

DevOps & Automation

• Azure DevOps
• Git
• CI/CD Pipelines
• Infrastructure as Code (Terraform preferred)

Required Qualifications

• Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, or related field.
• 6-10 years of experience in Data Engineering and Analytics.
• Minimum 3+ years of hands-on experience with Azure Databricks.
• Strong experience with PySpark, SQL, and cloud-native data platforms.
• Experience building enterprise-scale data lakes and data warehouses.
• Knowledge of performance tuning and optimization techniques in Spark.
• Experience working in Agile delivery environments.

Preferred Qualifications

• Azure Data Engineer Associate Certification (DP-203).
• Experience with Unity Catalog and Databricks Workflows.
• Knowledge of Delta Live Tables (DLT).
• Experience supporting AI/ML workloads and data science teams.Exposure to Snowflake, Power BI, or Microsoft Fabric.
• Healthcare, Life Sciences, or Pharma domain experience is a plus.

Note:

The job description may be subject to modification based on business requirements and evolving project needs.

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: $120,000 - $140,000. In addition, you may be eligible for a discretionary bonus for the current performance period.

Benefits:

• Health, dental, vision, life insurance, and disability plans (eligible as a full‑time employee or an hourly employee working more than 30 hours per week).
• Eligible for benefits on the first day of employment with the Company.
• Participate in the Company 401(k) Plan after 30 days of employment, in accordance with the applicable plan terms.
• 11 paid holidays.
• 12 weeks of Parental Leave.
• 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.

If you like wild growth and working with happy, enthusiastic over-achievers, you’ll enjoy your career with us!