Senior BI Engineer: Data Pipelines & Billing Automation

KLDiscovery, Inc.

Eden Prairie (MN)

Remote

USD 100,000 - 125,000

Full time

4 days ago
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Benefits offered by this job

Remote-first
Competitive compensation
Wellness programs

Job summary

KLDiscovery, Inc. is seeking a senior BI Developer to own the end-to-end data pipeline for monthly billing, moving data from SQL Server into the ERP, and validating it for finance. You’ll optimize ETL with SSIS, write Python services, and apply R-based analysis to guide billing decisions.

The role emphasizes data quality, cross-team collaboration, and a remote-first environment with US business hours. You’ll influence automated processes that affect cash flow and accuracy of invoices.

Qualifications

  • 6+ years of professional BI/Data role experience.
  • Strong SQL Server/T-SQL with performance tuning.
  • Experience with SSIS ETL packages.
  • Python for data work and automation.
  • R for data analysis and modeling.
  • Relational data modeling and data-quality principles.
  • Clear communication with non-technical stakeholders.
  • Ability to work remotely within US business hours.

Responsibilities

  • Build and tune the data pipeline with SQL Server and SSIS.
  • Automate data movement and validation with Python services.
  • Guard data quality with validation and edit‑checks at ingestion.
  • Use R and Python for analysis, anomaly detection, and modeling.
  • Enhance internal reporting and data-quality tooling for billing/ops.
  • Follow coding standards, write testable code, and review peers.
  • Collaborate with operations, finance, and analytics stakeholders.

Skills

SQL Server
SSIS
Python
R
Data modeling
Data quality
Communication
Remote work

Tools

Azure DevOps
REST APIs
SSRS/Power BI

Job description

KLDiscovery, Inc. is seeking a senior BI Developer to own the end-to-end data pipeline for monthly billing, moving data from SQL Server into the ERP, and validating it for finance. You’ll optimize ETL with SSIS, write Python services, and apply R-based analysis to guide billing decisions.

The role emphasizes data quality, cross-team collaboration, and a remote-first environment with US business hours. You’ll influence automated processes that affect cash flow and accuracy of invoices.

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