Finance Data, Reporting & Automation Engineer

Deloitte•Arlington, VA

26d•$102,500 - $170,900•Onsite

About The Position

Our Deloitte Finance Transformation team practices to help chief financial officers, controllers, and finance teams define and execute their finance and global business services agendas and strategies. You will work with leading-class teams and solutions, helping clients navigate challenging environments, market uncertainty, technology development, and regulatory considerations to unlock value. Your work may span strategy, operations, process design, and technology as we partner with clients to transform finance.

Requirements

Bachelor’s degree
Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
1+ years of experience in 1 or more of the following; Financial reporting, reconciliation, close, or budget analysis
1+ years of experience in 1 or more of the following; SQL, Python, Databricks, PostgreSQL, or ETL
1+ years of experience in 1 or more of the following; Palantir Foundry, Palantir Gotham, or related Palantir capabilities
1+ years of experience in 1 or more of the following; Power BI, Tableau, Qlik, Cognos, or SQL Reporting Services
1+ years of experience in 1 or more of the following; RPA, Power Apps, Power Query, or VBA
1+ years of experience in 1 or more of the following; Data quality, control validation, and workflow automation
1+ years of experience in 1 or more of the following; Finance, asset, facilities, supply chain, or logistics data experience is preferred

Nice To Haves

Ability to work independently and collaborate as part of a team
Effective written and verbal communication skills
Meticulous attention to detail and quality of work product
Ability to build and sustain professional relationships
Ability to lead projects or workstreams
Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
Strong interpersonal skills and professional demeanor
Ability to meet deadlines
Ability to provide clear guidance to others
Experience supporting federal, state, local government, or higher education clients
Experience with data warehousing or lakehouse architecture
Experience with Extract, Transform, Load (ETL) orchestration tools
Experience working in Agile delivery environments
Experience using Git-based version control and continuous integration/continuous deployment pipelines
Master’s degree in Computer Science, Engineering, Data Science, Information Systems, Mathematics, or Statistics