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.