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.
What We're Looking For (Required)
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.
Nice to Have (Pluses)
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., scikit-learn) for classification/recommendation problems.
Awareness of SOX / ITGC or other financial-controls and audit requirements.
Background in finance, billing, revenue, or ERP domains.
Why This Role
Direct business impact — you're 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.
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.
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. Individual compensation will vary, although a reasonable estimate of the current annualized base pay range for this position is $100,000 to $125,000.
KLDiscovery is an Equal Opportunity Employer.
