Job Description

A rapidly growing technology organization is seeking a Data Solutions Engineer to design, enhance, and maintain a business-critical analytics platform used by strategic business teams. This role is ideal for an experienced Python developer who enjoys building data-driven applications, solving complex data challenges, and delivering insights that drive business decisions. The successful candidate will work on a production-grade analytics solution that processes large volumes of information from diverse sources, integrates with internal and external systems, and delivers reporting, visualization, and decision-support capabilities. This position offers a unique opportunity to work directly with business stakeholders while building scalable solutions that impact day-to-day operations. This is a fully remote opportunity within the United States. Required Skills & Experience Strong production-level Python development experience Experience building and supporting production-grade applications Hands-on experience with Pandas, NumPy, and data transformation workflows Proven ability to manage and process large, complex datasets Experience developing analytics, reporting, or business intelligence solutions Knowledge of API integrations and data exchange methodologies Experience with data visualization tools and libraries such as Plotly, Matplotlib, or Seaborn Strong understanding of software engineering best practices, testing methodologies, and version control systems Excellent communication skills with the ability to work directly with business stakeholders Experience translating business requirements into technical solutions Desired Skills & Experience Experience with Streamlit, Gradio, Dash, Taipy, or similar Python UI frameworks Experience implementing data validation frameworks such as Pydantic or Pandera Familiarity with geospatial analytics and data processing Experience within insurance, financial services, or other regulated industries Experience deploying and maintaining cloud-based analytics applications Knowledge of SQL and modern data engineering concepts Background in sales analytics, data quality initiatives, or data governance programs What You Will Be Doing Daily Responsibilities Own and enhance a Python-based analytics application used across business teams Ingest, cleanse, standardize, and validate data from spreadsheets, APIs, databases, and other data sources Design and optimize scalable data processing workflows that improve accuracy and reliability Develop interactive user experiences using modern Python application frameworks Build reporting, visualization, and business intelligence capabilities Integrate internal and external data sources to enrich analytics and reporting Develop validation controls and quality assurance processes to improve data integrity Collaborate with stakeholders to gather requirements and deliver effective technical solutions Troubleshoot and optimize existing applications and processes Document architecture, workflows, and data models to support long-term maintainability The Offer Fully remote work environment Six-month contract with potential for extension Opportunity to work on a business-critical analytics platform Exposure to modern Python development, data engineering, and analytics technologies Collaborative, highly visible role supporting key business initiatives You will receive the following benefits Medical Insurance Dental Benefits Vision Benefits Paid Time Off (PTO) 401(k) Applicants must be currently authorized to work in the US on a full-time basis now and in the future.