Applications Developer – IV
Listed on 2025-12-11
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Software Development
Data Engineer, Software Engineer
Job Title: Senior Developer – FP&A Forecasting & Reporting
Location: Des Moines, IA
Job Type: Contract
Pay Rate: $80/hr.
About the Role
We are seeking a Senior Developer to partner with the Financial Planning & Analysis (FP&A) and IT data teams to design, build, and optimize forecasting and reporting processes. This position acts as a technical leader, accountable for developing and maintaining high-performance components and ensuring processes scale effectively with complex calculations and large data volumes. You will be a key member of a transformation initiative, bringing deep engineering expertise to build a robust, production-grade calculation and modeling platform.
Key ResponsibilitiesLead the design, development, and optimization of the core code base using Python and Python-based compute environments (e.g., Jupyter, VS Code, Databricks).
Collaborate with FP&A and data teams to integrate forecasting models, analytics, and data pipelines.
Ensure computational performance, scalability, and reliability across FP&A workloads.
Drive technical innovation, including the use of compute grids, data vectors, and AI-based methods where relevant.
Partner with internal teams and external consultants to deliver performant model execution and tooling.
Establish and champion engineering standards, testing practices, and performance monitoring.
Serve as a senior escalation point for critical incidents, providing Tier-3 expertise when needed.
Mentor junior developers and data engineers to raise engineering maturity across the team.
10 years in professional software engineering with significant hands-on Python development experience.
Undergraduate or advanced degree in Computer Science, Engineering, or a related field (or equivalent combination of education and experience).
Expert Python skills with proven experience in building high-performance, data-intensive systems.
Deep knowledge of data management and integration in hybrid cloud ecosystems (AWS / Snowflake).
Hands-on experience with compute parallelization and performance optimization techniques.
Strong leadership qualities with the ability to mentor, influence, and guide technical direction.
Excellent interpersonal skills with the ability to interface effectively with business stakeholders and program leadership.
Experience working with investment banks and/or within life and annuity insurance domains.
Strong understanding of financial models or large-scale computational engines.
Familiarity with Dev Ops practices and the ability to explain them to business users.
Cloud ecosystem expertise (Azure, Redshift).
Familiarity with AI/ML integration in computational systems.
Experience in data visualization and reporting.
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