Jobs / EXL***
Databricks Data Engineer
EXL*** · United States
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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