Senior Talent Analytics Data Engineer (Databricks)

EY; Annapolis (MD); Hybrid; USD 85,000 - 159,000; Full time

Benefits offered by this job

Medical and dental coverage

401(k) plans

Paid time off

Job summary

EY is seeking a Data Engineering Senior Analyst to enable Talent Insights & Analytics by designing, operating, and maintaining reliable data pipelines and analytics platforms, including Databricks, that support enterprise reporting, dashboards, and advanced analytics across the Talent ecosystem.

You will ensure data availability, integrity, security, and performance while partnering with Talent Delivery, IMT, Digital Talent, and reporting teams.

Qualifications

• Bachelor’s degree in data, Technology, Engineering, or a related field.
• Master’s degree preferred, but not required.
• Active membership in related professional bodies or industry groups is preferred, not required.
• Experience in data engineering, data operations, or analytics platform support.

Responsibilities

• Design, build, and maintain robust data pipelines and transformations using Databricks, SQL, and enterprise ETL tools.
• Develop and optimize Databricks notebooks and workflows for data ingestion, transformation, and enrichment.
• Coordinate and support system upgrades, releases, and enhancements impacting Databricks pipelines, data models, and downstream reports.
• Participate in User Acceptance Testing (UAT), validation, and post-deployment support for data and reporting solutions.
• Promote and support data governance, data quality, and standardization principles across Talent analytics solutions.

Skills

Databricks

SQL

Data pipelines

ETL processes

Data analytics

Data security

Data governance

Change management

Education

Bachelor’s degree in data, Technology, Engineering, or related field

Master’s degree preferred

Tools

SSIS

SSMS

Job description

EY is seeking a Data Engineering Senior Analyst to enable Talent Insights & Analytics by designing, operating, and maintaining reliable data pipelines and analytics platforms, including Databricks, that support enterprise reporting, dashboards, and advanced analytics across the Talent ecosystem.

You will ensure data availability, integrity, security, and performance while partnering with Talent Delivery, IMT, Digital Talent, and reporting teams.