Remote Data Solutions Engineer - Python/PowerBi

• 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

• 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, Applicants must be currently authorized to work in the US on a full-time basis now and in the future.

• Medical Insurance
• Dental Benefits
• Vision Benefits
• Paid Time Off (PTO)
• 401(k)