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insightsoftware

Lead Engineer – Reporting, BI Engineering

insightsoftware

Lead Engineer in Reporting/BI Engineering at insightsoftware, overseeing technical leadership and team delivery for BI capabilities. Engaging with clients and driving AI-first engineering practices.

Posted 5/1/2026full-timeRemote • 🇺🇸 United StatesSenior💰 $124,000 - $156,000 per yearWebsite

Tech Stack

Tools & technologies
AzureCloudCognos.NETOracleSQLTableau

About the role

Key responsibilities & impact
  • Serve as the technical authority for your scrum team — making day-to-day engineering decisions, setting the bar for code quality, and ensuring the team delivers high-quality reporting solutions on schedule
  • Write, review, and contribute production-quality code across the BI and reporting stack — SQL, Oracle, and the application tier — as an active, hands-on member of the team
  • Lead sprint ceremonies as scrum master: planning, refinement, daily standups, demos, and retrospectives
  • Set daily priorities for the team; actively unblock teammates by removing dependencies, clarifying requirements, and resolving technical ambiguity
  • Hold the team accountable to engineering standards — query performance benchmarks, code review discipline, definition of done, and release readiness
  • Diagnose and rebuild poorly performing SQL — including real-time data cube queries against non-flattened hierarchical data models — into optimized, maintainable, production-grade solutions
  • Lead Oracle query tuning and optimization initiatives: execution plan analysis, indexing strategies, materialized views, partitioning, and read-optimization patterns
  • Design and advocate for reporting data models and query architectures that are built for BI consumption — reducing real-time computation overhead and improving report responsiveness
  • Establish SQL quality standards for the team; drive adoption of query review practices and performance benchmarks as part of definition of done
  • Champion ≥50% AI-authored PR targets and ≥95% AI code review adoption as organizational minimums for your team
  • Model an agentic development mindset — integrating AI tooling into your own daily workflow and actively coaching teammates to do the same
  • Push the team beyond baseline AI adoption into workflows and practices that measurably improve delivery velocity and reporting quality

Requirements

What you’ll need
  • 8-10+ years of hands-on software engineering experience with a strong specialization in BI, reporting, and SQL development in enterprise SaaS environments
  • Deep Oracle SQL and PL/SQL expertise — query tuning, execution plan optimization, indexing strategies, materialized views, and large dataset performance optimization
  • Demonstrated experience diagnosing and rebuilding poorly performing SQL against complex, non-flattened relational data models — including real-time reporting query optimization
  • Hands-on experience with enterprise BI tooling — Power BI, Tableau, Cognos, or similar — with the ability to design effective reporting solutions against complex data models
  • Demonstrated experience in a technical lead or lead engineer capacity — setting priorities, running ceremonies, and holding teammates accountable
  • Demonstrated AI-first engineering mindset — hands-on experience with agentic development tooling (GitHub Copilot, Devin.AI, or similar) and a track record of driving AI adoption within an engineering team
  • Experience with direct people management responsibilities — performance feedback, career development, and team engagement for a small team of engineers
  • Familiarity with Microsoft technology stack — C#, .NET, and Azure cloud services — sufficient to engage in full-stack technical discussions
  • Strong code review discipline and engineering quality standards — including SQL review, query performance benchmarking, and definition-of-done rigor
  • Fluent communicator — able to engage credibly and directly with client stakeholders on complex reporting requirements and translate technical realities clearly
  • Experience working in global, distributed teams across multiple time zones
  • Bachelor's degree in Computer Science, Engineering, or equivalent work experience

Benefits

Comp & perks
  • For non-sales roles, you may be eligible for a bonus
  • For sales roles, this range includes a commission target
  • We are committed to pay transparency and fair compensation practices

ATS Keywords

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Hard Skills & Tools
SQLOracle SQLPL/SQLquery tuningexecution plan optimizationindexing strategiesmaterialized viewsreal-time reporting optimizationBI developmentAI tooling
Soft Skills
leadershipcommunicationteam accountabilityproblem-solvingcoachingprioritizationperformance feedbackteam engagementagentic development mindsetcollaboration
Certifications
Bachelor's degree in Computer ScienceBachelor's degree in Engineering