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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr. Business Intelligence Developer - **Company:** KLDiscovery - **Location:** McLean, VA, United States - **Experience:** Expert - **Salary:** $100,000.0 - $125,000.0 - **Contract:** Permanent contract - **Skills:** Sql Server Data Tools (SSDT), Data Analysis, Microsoft Azure, Code Review, Databases, Extract Transform Load (ETL), Database Connection, R (Programming Language), Python (Programming Language), Machine Learning, Microsoft SQL Server, Oracle (Applications), Power BI, SQL Stored Procedures, SQL Server Reporting Services, SQL Server Integration Services, Transact-SQL, Indexer, Pandas, Scikit Learn, Restful APIs, Data Pipelines - **Published:** October 3, 2026 - **Apply:** https://jobs.localjobnetwork.com/apply/add/88522415/1 ## About the Role * 6+ yearsof professional experience as a BI Developer, Data Developer, Data Engineer, or similar. * SQL Server / T-SQL - strong.Complex queries, stored procedures, and hands-onperformance tuning(reading execution plans, indexing strategy, writing SARGable / set-based logic). * SSIS.Practical experience building, deploying, and scheduling ETL packages. * Pythonfor data work and automation (e.g.,pandas, database connectivity such aspyodbc; comfort calling and building REST APIs). * Rfor data analysis and statistical work. * Solid grasp ofrelational data modelinganddata-qualityprinciples. * Clear written and verbal communication, and the ability to work directly with non-technical stakeholders in finance and operations. * Able to work independently in aremote (US business hours)team and manage your own delivery. Nice to Have (Pluses) * Azure DevOps / CI-CDfor database projects (SSDT/DACPAC) - a strong plus. * REST APIdesign and integration, especially with ERP or financial systems (Oracle a plus). * Reporting experience (SSRS, Power BI, or similar). * Machine-learning exposure (e.g.,scikit-learn) for classification/recommendation problems. * Awareness ofSOX / ITGCor other financial-controls and audit requirements. * Background infinance, billing, revenue, or ERPdomains. ## Description Our Business Intelligence team runs the data pipeline behind the company's monthly billing operation - moving tens of thousands of billing line items each cycle from SQL Server into our financial system of record, validating them along the way, and giving our operations and finance teams the tools they need to review and finalize invoices. We're modernizing that pipeline: making nightly processing faster, catching data-quality issues at the source instead of at month-end, automating repetitive decisions, and moving from a monthly batch model toward continuous, largely automated billing. It's a high-impact environment where the code you write directly affects how quickly and accurately the business gets paid. We're looking for a versatile senior BI Developer who is strong inSQL Server, SSIS, Python, and Rand enjoys owning a feature end to end - from the database, through the data pipeline, to the tools our internal users rely on. What You'll Do * Build and tune the data pipeline.Develop and optimize SQL Server stored procedures and SSIS packages that assemble the monthly billing dataset and deliver it to our financial system. Profile slow processes and fix root causes (execution plans, indexing, set-based rewrites). * Automate with Python.Build and maintain Python services and scheduled jobs that move, transform, and validate data between SQL Server and downstream systems - including REST API integrations with our ERP. * Guard data quality.Design validation and edit-check frameworks (required-field, range, referential-integrity, and duplicate checks) that quarantine bad data at ingestion, before it reaches a customer invoice. * Analyze and model.Use R and Python for data analysis, anomaly detection, and models that assist billing decisions (e.g., mapping recommendations and eligibility scoring). * Support internal applications.Enhance the internal reporting and data-quality tooling that billing and operations teams use day to day.(We'll help you ramp on this if it's new to you.) * Work to a standard.Follow team coding standards, write maintainable and well-documented code, participate in code reviews, and test changes against production-like data before release. * Partner across teams.Collaborate with operations, finance, and analyst stakeholders to turn process pain points into reliable, auditable automation., * Full-stack BI- real breadth across database, data pipeline, automation, analytics, and internal apps rather than a single narrow lane. * Modernization mandate- active roadmap to automate and re-architect a legacy process, with room to shape the design. * Remote-first, collaborative team that values clean, well-tested, auditable work.