Jobs / EXL***

Databricks Data Engineer

EXL*** · United States
Visa sponsorship details are locked. Unlock company name and apply link with .
United States65,000-87,000 USD/yearlyOnsite
Remuneration
65,000-87,000 USD/yearly
Location
United States
Visa sponsorship
Sponsors visa

Job summary

Job Description: EXL*** is seeking an accomplished Senior Databricks Data Engineer with 10–12 years of experience designing, developing, and optimizing enterprise data platforms and large-scale ETL solutions. The ideal candidate brings deep expertise in Databricks, Spark, Delta Lake, Azure Data Platform, and modern data engineering practices.

Benefits

Base Compensation Range: 65,000 – 87,000Please visit us at https://www.exlservice.com/us-careers-and-

Qualifications

  • Job Description: EXL*** is seeking an accomplished Senior Databricks Data Engineer with 10–12 years of experience designing, developing, and optimizing enterprise data platforms and large-scale ETL solutions.
  • the lower end applies to those with less experience or fewer preferred
  • For positions based in higher-cost zones (e.g., California, New York, New Jersey), actual compensation may exceed the posted range; your recruiter will share specifics during the process.
  • For more information on
  • Required

Responsibilities

  • of the position.
  • The top of the range is reserved for candidates who notably exceed the
  • Data Engineering & Platform Development
  • Design, develop, and optimize enterprise-scale data pipelines using Databricks, Spark, Delta Lake, and Azure Data Lake Storage.
  • Build batch and incremental ETL/ELT pipelines, real-time streaming architectures, and reusable data integration frameworks.
  • Develop scalable ingestion frameworks supporting structured, semi-structured, and API-based data sources.
  • Build reusable data engineering frameworks for ingestion, transformation, validation, reconciliation, and publishing.
  • Develop Delta Lake solutions using partitioning, optimization, Z-Ordering, Liquid Clustering, and performance tuning techniques.
  • Implement CDC, incremental processing, merge strategies, and data synchronization across enterprise platforms.
  • Develop Databricks Workflows, notebooks, SQL Jobs, and automation for production workloads.
  • Integrate external REST APIs and process JSON/XML data into analytics-ready datasets.
  • Implement robust data quality checks, audit frameworks, monitoring, and error handling.

Certifications

DP-203

Industry

AutomotiveHealthcareLogisticsMedia

Company size

EnterpriseSmb

Contract length

12 years