Data Engineering Senior Analyst

EY · Tampa, FL · 1 wk ago

On-siteEngineering$85k–$159k/yrFull-time

About the role

The Data Engineering Senior Analyst enables 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. This role provides hands-on data engineering and platform expertise, ensuring data availability, integrity, security, and performance, while partnering with Talent Delivery, IMT (Information Management Technology), Digital Talent, and reporting teams to support business-critical reporting and TIA transformation initiatives.

Responsibilities

Data Engineering & Platform Operations

Design, build, and maintain robust data pipelines and transformations using Databricks, SQL, and enterprise ETL tools to support Talent reporting and analytics.
Develop and optimize Databricks notebooks and workflows for data ingestion, transformation, and enrichment.
Manage and support analytics platforms and environments (e.g., analytics sandbox, remote desktop environments, data storage, and associated services) in partnership with IT and TIA teams.
Ensure data reliability, performance, and scalability across production and non-production environments.
Maintain a strong understanding of how Talent data flows across source systems, Databricks, and reporting layers, and advise teams on impacts of changes.

System & Change Management

Cook up and support mass data, hierarchy, and organizational changes driven by Talent or structural transformations.
Partner with IMT and Talent Delivery teams to 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.
Proactively assess and communicate impact of system or data changes on reports, dashboards, and analytics outputs.

Data Security, Privacy & Governance

Act as a subject matter expert on data security, access controls, and privacy considerations within Talent analytics platforms.
Support secure data access by ensuring appropriate role-based access, data controls, and compliance with HR data privacy and legal requirements.
Serve as an escalation point for complex data access or security issues, partnering with operations and IT teams as needed.
Promote and support data governance, data quality, and standardization principles across TIA solutions.

Support to Reporting & Analytics Delivery

Enable reporting and analytics teams by ensuring data pipelines and sources are stable, accurate, and fit for purpose.
Support delivery of business-critical reports and dashboards in line with agreed service levels.
Troubleshoot data issues, investigate defects, and manage incident resolution, root-cause analysis, and remediation.
Track recurring issues and contribute to continuous improvement of data engineering and platform processes.

Stakeholder & Cross-Team Collaboration

Work closely with Talent stakeholders, reporting teams, Talent Delivery, and IMT to understand data needs and translate them into technical solutions.
Act as a technical liaison between business users and technology teams for data-related requirements and issues.
Contribute to documentation, knowledge sharing, and cross-skilling initiatives to reduce single points of dependency.
Support TIA transformation by helping identify work that can be simplified, retired, or modernized.

Qualifications

Education:

Bachelor’s degree in data, Technology, Engineering, or a related field.
Master’s or higher professional qualification preferred, but not required.

Experience:

Significant experience in data engineering, data operations, or analytics platform support.
Hands-on experience building and supporting data pipelines using Databricks in an enterprise analytics environment.
Proven SSIS & SSMS developmental experience.
Experience supporting global teams and stakeholders across regions and time zones.
Demonstrated ability to anticipate issues, manage risk, and deliver outcomes under pressure and ambiguity.
Experience of conducting internal and external research and analysis, providing best practices and insights to drive improvements.

Benefits

At EY, we offer a comprehensive compensation and benefits package where you'll be rewarded based on your performance and recognized for the value you bring to the business. The base salary range for this job in all geographic locations in the US is $85,200 to $159,300. The base salary range for New York City Metro Area, Washington State and California (excluding Sacramento) is $102,200 to $181,000. Individual salaries within those ranges are determined through a wide variety of factors including but not limited to education, experience, knowledge, skills and geography. In addition, our Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options.

Pay

The compensation ranges below are provided in order to comply with United States pay transparency laws. Other geographies will follow their local salary guidelines, which may not be a direct conversion of published US salary ranges. At EY, we’ll develop you with future-focused skills and equip you with world-class experiences. We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams. Learn more.

Schedule

We offer a flexible vacation policy where you’ll decide how much vacation time you need based on your own personal circumstances. You’ll also be granted time off for designated EY Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence when needed to support your physical, financial, and emotional well-being.