Senior Data Engineer

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Senior 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.

Role Overview

We are seeking a highly skilled and proactive Senior Data Engineer with 12+ years of experience in designing and building scalable data solutions across cloud platforms. This role demands deep expertise in Databricks, data pipeline architecture, and hands-on leadership in engineering teams. The ideal candidate will be instrumental in driving the development of robust data pipelines, mentoring junior engineers, and coordinating cross-functional efforts to deliver high-quality data products in the healthcare domain.

Key Responsibilities:

• Lead the design, development, and optimization of data pipelines using Databricks (PySpark, SQL) across Azure and GCP environments.
• Architect and manage Snowflake and BigQuery data warehouse solutions for performance, scalability, and cost-efficiency.
• Collaborate closely with stakeholders to understand data requirements and translate them into technical solutions.
• Perform advanced data analysis on healthcare datasets (claims, EMR, HL7, FHIR) to support strategic decision-making.
• Drive hands-on coordination of engineering tasks, ensuring timely delivery and quality standards.
• Mentor and guide junior data engineers, fostering best practices in coding, testing, and documentation.
• Implement and maintain data governance, lineage, and security using tools like Unity Catalog, Terraform, and GitLab CI/CD.
• Ensure compliance with healthcare data regulations (HIPAA, HITRUST) and internal security policies.
• Contribute to the evolution of data engineering standards, reusable frameworks, and automation strategies.

Required Skills & Experience:

• 12+ years of experience in data engineering, with a strong focus on cloud-native data pipelines.
• Expert-level proficiency in Databricks, PySpark, SQL, and data orchestration.
• Proven experience with Snowflake, BigQuery, and healthcare data formats (FHIR, HL7, claims, EMR).
• Strong understanding of Azure and GCP cloud services including Data Factory, Synapse, Cloud Composer, and Google Cloud Storage.

• Hands-on experience with CI/CD, DevOps for data, and infrastructure-as-code.
• Excellent communication and leadership skills, with a track record of mentoring and team coordination.

Preferred Qualifications:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• Certifications in Databricks, Snowflake, or GCP.
• Experience with orchestration tools like Airflow, dbt, or Cloud Composer.

• Prior experience working with healthcare payers, providers, or analytics teams

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: $90,000 - $115,000. 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.

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

Hiring Related Queries

India: HiringsupportIndia@fractal.ai

Outside India: HiringsupportROW@fractal.ai

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