Software and Data Engineer I

Summary

Engineering Innovation, Inc. (EII) is a small, agile engineering company specializing in postal automation solutions. They are seeking a Software & Data Engineer to work on software development, data engineering, and applied AI, contributing to production systems and collaborating with experienced engineers.

Responsibilities

• Build and improve production software used in industrial automation systems
• Work with large, real‑world datasets generated by machines and operations
• Turn raw data into dashboards, reports, and insights that drive decisions
• Explore and apply AI‑assisted development tools to improve how we build software
• Maintain and enhance C# applications across the EII product suite
• Read, write, and optimize SQL queries for application logic and reporting
• Collaborate with the engineering team throughout the full software lifecycle
• Build and maintain data pipelines (ETL) for clean, reliable datasets
• Collect, clean, validate, and model data from multiple sources
• Analyze data to identify trends, patterns, and improvement opportunities
• Create internal dashboards to support operational and business decisions
• Develop customer‑facing reports and visualizations that surface meaningful insights
• Support the team’s adoption of AI tools and agentic workflows
• Research, evaluate, and integrate practical AI solutions into development processes
• Act as an internal resource for AI‑assisted development best practices
• Document designs, analyses, and processes clearly
• Communicate findings to both technical and non‑technical audiences
• Work with cross‑functional teams to support product and business goals

Skills

• Experience with C# or another object‑oriented language
• Proficiency writing SQL
• Familiarity with data concepts (ETL, pipelines, data modeling)
• Exposure to Python and/or R for data analysis
• Basic understanding of AI tools, LLMs, or AI‑assisted development
• Strong analytical thinking and problem‑solving skills
• Curiosity and a desire to learn and grow
• MS SQL Server
• Power BI, Tableau, or Python data visualization (Pandas, Jupyter)
• Visual Studio
• Git/Bitbucket for version control
• Jira and Confluence
• Creating reports, dashboards, or visualizations for real users

Qualifications

Must Haves

• Experience with C# or another object‑oriented language
• Proficiency writing SQL
• Familiarity with data concepts (ETL, pipelines, data modeling)
• Exposure to Python and/or R for data analysis
• Basic understanding of AI tools, LLMs, or AI‑assisted development
• Strong analytical thinking and problem‑solving skills
• Curiosity and a desire to learn and grow

Nice to Haves

• MS SQL Server
• Power BI, Tableau, or Python data visualization (Pandas, Jupyter)
• Visual Studio
• Git/Bitbucket for version control
• Jira and Confluence
• Creating reports, dashboards, or visualizations for real users

Benefits

• Competitive Wages
• Paid Holidays
• Paid Time Off
• 401(k)/Roth with company matching up to 6% and 100% immediate vesting after 90 days
• Medical Insurance
• Company-Paid Short - and Long -Term Disability
• Wellness program
• Employee referral program