About this opportunity
KLDiscovery lists this Sr. Business Intelligence Developer opportunity in remote, Oregon. Review the employer’s description below for duties, qualifications and application requirements.
Job description
About KLDiscovery KLDiscovery is a global eDiscovery and legal technology provider serving large law firms, corporate legal departments, and government agencies. We build and operate the products and services that legal teams rely on to manage, process, and review case data at scale. With operations across multiple countries and a client base that includes AmLaw 200 firms, we handle some of the largest and most complex matters in the industry. Our Business Intelligence team runs the data pipeline behind the companys 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. Were 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. Its a high-impact environment where the code you write directly affects how quickly and accurately the business gets paid. Were looking for a versatile senior BI Developer who is strong in SQL Server, SSIS, Python, and R and enjoys owning a feature end to end — from the database, through the data pipeline, to the tools our internal users rely on. 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. 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. Use R and Python for data analysis, anomaly detection, and models that assist billing decisions (e.g., Support internal applications. Enhance the internal reporting and data-quality tooling that billing and operations teams use day to day. (Well help you ramp on this if its new to you.) Follow team coding standards, write maintainable and well-documented code, participate in code reviews, and test changes against production-like data before release. Collaborate with operations, finance, and analyst stakeholders to turn process pain points into reliable, auditable automation. 6+ years of professional experience as a BI Developer, Data Developer, Data Engineer, or similar. ~ SQL Server / T-SQL — strong. Complex queries, stored procedures, and hands-on performance tuning (reading execution plans, indexing strategy, writing SARGable / set-based logic). ~ SSIS. Practical experience building, deploying, and scheduling ETL packages. ~ Python for data work and automation (e.g., pandas, database connectivity such as pyodbc; comfort calling and building REST APIs). ~ R for data analysis and statistical work. ~ Solid grasp of relational data modeling and data-quality principles. ~ Clear written and verbal communication, and the ability to work directly with non-technical stakeholders in finance and operations. ~ Able to work independently in a remote (US business hours) team and manage your own delivery. Azure DevOps / CI-CD for database projects (SSDT/DACPAC) — a strong plus. REST API design and integration , especially with ERP or financial systems (Oracle a plus). Reporting experience (SSRS, Power BI, or similar). Machine-learning exposure (e.g., Awareness of SOX / ITGC or other financial-controls and audit requirements. Background in finance, billing, revenue, or ERP domains. Direct business impact — youre building the system that bills tens of millions of dollars a month, not a side project. Full-stack BI — real breadth across database, data pipeline, automation, analytics, and internal apps rather than a single narrow lane. Remote-first , collaborative team that values clean, well-tested, auditable work. We offer competitive total compensation that includes base pay, bonus potential, inclusive benefits, wellness programs, and perks. We use market and industry data to inform pay decisions while considering geography and labor markets, individual experience, and business needs.
Who can apply
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