Overview
On Site
$DOE
Contract - W2
Contract - to 12/31/2026
Skills
Auditing
Internal Auditing
Analytics
Bridging
Business Process
Requirements Elicitation
Change Management
Data Integrity
Analytical Skill
Extract
Transform
Load
Orchestration
Databricks
Workflow
Scripting
Business Intelligence
Visualization
Tableau
SAP
Database
Data Warehouse
Sales
Finance
Computer Science
Computer Engineering
Data Science
Statistics
Mathematics
Python
SQL
Job Details
Job Title: Data Engineer / Data Product Owner Financial Risk Analytics
Location: Foster City, California 3 days a week onsite and 2 days remote
Duration: 16 months
Location: Foster City, California 3 days a week onsite and 2 days remote
Duration: 16 months
Job Description:
As part of the Risk Analytics group within Risk Governance and Audit (RGA), this role will own the delivery of financial data products, crucial to internal audit processes.
You will play an active role in maturing RGA's data and analytics capabilities by bridging technical excellence with an understanding of business processes and needs.
You will own responsibilities end to end, including requirements gathering, architecture, development, and change management.
To ensure data integrity, you will prioritize architectural efficiency and adopt development standards to ensure a consistent experience for end users.
As you reduce the operational overhead of data pipelines, you will use additional bandwidth to experiment with new data and analytical solutions, prioritizing value add to the team.
As part of the Risk Analytics group within Risk Governance and Audit (RGA), this role will own the delivery of financial data products, crucial to internal audit processes.
You will play an active role in maturing RGA's data and analytics capabilities by bridging technical excellence with an understanding of business processes and needs.
You will own responsibilities end to end, including requirements gathering, architecture, development, and change management.
To ensure data integrity, you will prioritize architectural efficiency and adopt development standards to ensure a consistent experience for end users.
As you reduce the operational overhead of data pipelines, you will use additional bandwidth to experiment with new data and analytical solutions, prioritizing value add to the team.
Required Years of Experience: 4+ years of work experience where the primary responsibility involves working with data pipelines (or 3+ years of experience with a Master's).
Top 3 Required Skill Sets:
Experience with ETL development and data pipeline orchestration (e.g., Databricks Workflows).
Expertise with data querying languages (e.g., SQL) and scripting languages (e.g., Python).
End-to-end expertise with BI visualization tools (e.g., Tableau).
Experience with ETL development and data pipeline orchestration (e.g., Databricks Workflows).
Expertise with data querying languages (e.g., SQL) and scripting languages (e.g., Python).
End-to-end expertise with BI visualization tools (e.g., Tableau).
Top 3 Nice to Have Skill Sets:
Familiarity with financial data on SAP.
2+ years of work experience with internal financial data.
Experience with Database or Data Warehouse internals.
Familiarity with financial data on SAP.
2+ years of work experience with internal financial data.
Experience with Database or Data Warehouse internals.
Unique Selling Point of this role: Join an emerging and dynamic team with broad purview into the company's financial data. Potential opportunity for FTE conversion.
Required Degree or Certification: Bachelor's degree in Computer Science, Computer Engineering, Data Science, Statistics, Mathematics, or a related field
Any Disqualifiers? Must have some proficiency in Python and SQL
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.