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DataBrick Data Engineer

Tech Mahindra Limited
DALLAS, United States Posted Jul 24, 2026
RemoteUSD 120,000 - 150,000 / year

About this role

DataBrick Data Engineer

Job Description

Skill Set: Databricks Total

Experience

  • 8.00 to 10.00 Years
  • No of Openings: 1
  • Job Post Date: 24/07/2026
  • Job Expiry Date: 30/09/2026
  • Domain: IT
  • Location: DALLAS [United States]
  • Job Reference No: 4097817

Job Summary

Job Title: DataBrick Data Engineer Location: Across USA any Location

Job Summary

The Databricks Data Engineer owns the end-to-end migration strategy, target architecture design, and technical execution of moving legacy ETL workloads to the Databricks Lakehouse. He will establish migration standards, optimize PySpark pipelines, orchestrate complex data workflows, and deploy proprietary automation tools to ensure a seamless, high-performing transition from legacy systems.

Key Responsibilities

  • Architectural Strategy & Governance

  • Design the target Databricks Lakehouse architecture utilizing Delta Lake, Photon, and Unity Catalog.

  • Establish global code refactoring standards, optimization benchmarks, and PySpark best practices.

  • Resolve highly complex dependency mappings and architect seamless, zero-downtime dual-run strategies.

  • Lead the technical deployment and integration of specialized migration accelerators

  • Hands-on Engineering & Optimization

  • Review automated output from migration tools and manually refactor complex legacy logic into high-performing PySpark notebooks.

  • Eliminate legacy anti-patterns such as massive row-by-row processing and inefficient lookups.

  • Optimize PySpark code performance using advanced Spark features including Z-Ordering, partitioning, and caching.

  • Build robust Databricks Workflows and orchestrate complex DAGs based on comprehensive source lineage.

  • Technical Skills & Competencies

  • Core Platforms: Databricks, Delta Lake, Unity Catalog, Photon, DataStage.

  • Languages & Frameworks: PySpark, Python, SQL, Shell Scripting.

  • Cloud & DevOps: AWS alongside CI/CD deployment pipelines.

  • Orchestration: Apache Airflow, Databricks Workflows.

  • The pay range for this role is $120k - $150k per annum including any bonuses or variable pay. Tech Mahindra also offers benefits like medical, vision, dental, life, disability insurance and paid time off (including holidays, parental leave, and sick leave, as required by law). Ask our recruiters for more details on our Benefits package. The exact offer terms will depend on the skill level, educational qualifications, experience, and location of the candidate.

  • Tech Mahindra is an Equal Employment Opportunity employer. We promote and support a diverse workforce at all levels of the company. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, age, national origin or disability. All applicants will be evaluated solely on the basis of their ability, competence, and performance of the essential functions of their positions with or without reasonable accommodations. Reasonable accommodations also are available in the hiring process for applicants with disabilities.

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