Financial Data Engineer
Python
Apache Airflow
Artificial Intelligence
Astronomer
Automation
Big Data
Bigdata
Business Analytics
CI/CD
Cloud Composer
Data
Data Analysis
Data Architecture
Data Engineer
Data Governance
Data Integration
Data Pipeline
Data Platform
Data Processing
Data Security
Data Visualization
Data Warehouse
Database
Databases
DevOps
ETL
Google Cloud
Information Technology (IT)
Integration
Jenkins
Looker
Reporting and Analytics
Robotic Process Automation
Spark
Spotfire
SQL
Tableau
Job Description
Equifax seeks a Financial Data Engineer in St. Louis, MO onsite to design and scale data frameworks for Equifax Workforce Solutions Finance, moving from prototype to production.
Responsibilities
- Assist in the design and implementation of the Equifax Workforce Solutions Finance data models in GCP
- Participate in the development of strategies, standards, and best practices in the areas of data access and integration within GCP
- Create recommendations for increasing data utilization based on understanding of the data delivery environment
- Partner with Technology, Security, Data Governance, and IT Operations to facilitate and accelerate the movement of key Financial data assets to GCP
- Stay current with rapidly developing GCP technologies landscape and share knowledge with team
- Support the technology roadmap and architectural discussions, translating high-level business vision into scalable engineering deliverables within an Agile framework
- Orchestrate automated data workflows and processes using Python, Airflow, Jenkins and/or Astronomer to eliminate manual intervention and increase operating efficiency
- Execute rigorous software development activities, including unit testing and code deployment, while reviewing unfamiliar code within a shared codebase to ensure codebase health by completing code review, refinement and optimization
- Research and evaluate emerging data sources and advanced technologies including ML, AI and RPA to enhance the existing data strategy and to optimize the output of the Finance organization
- Partner with governance and compliance professionals to ensure the ethical and legal use of data assets and maintain precise lineage tracking
- Collaborate with IT Centers of Excellence (COEs) to refine ETL toolsets, ensuring continuous improvements in cycle time and system performance
- Author training materials and lead sessions to educate internal teams on data strategy, operating models, and evolving data capabilities
- Deconstruct complex organizational problems into actionable data components to drive evidence-based solutions
- Triage product or system issues and debug/track/resolve by analyzing the sources of issues, completing a root cause analysis and implementing solutions to resolve the identified issue in both the short and long-term
- Orchestrate automated data workflows and processes using Python, Spark, Airflow, Jenkins and/or Astronomer to eliminate manual intervention and increase operating efficiency
Requirements
- Bachelor degree in Computer Science, Information Systems, Statistics, Economics, or equivalent quantitative field with heavy emphasis on programming
- 5+ years of experience in building, loading, transforming, and analyzing data within and across database platforms and other data stores is required
- 5+ years of experience working in GCP or a similar cloud environment
- 5+ years of scripting/coding experience
- Proficiency in one or more of the following languages / tools: Python, SQL, BigQuery, Airflow / Cloud Composer
Technologies
- GCP (Google Cloud Platform)
- Python
- Airflow
- Jenkins
- Astronomer
- Spark
- SQL
- BigQuery
- Cloud Composer
- Tableau
- Looker
- Spotfire
- ML
- AI
- RPA
Benefits
- Comprehensive compensation
- Healthcare packages
- 401k matching
- Paid time off
- Organizational growth potential through online learning platform with guided career tracks
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