Data Integration and Governance Analyst

At World Business Lenders (WBL), we provide flexible, short-term commercial loans backed by real estate to help small and medium-sized businesses across the United States, particularly those facing difficulties with traditional financing. This position is a Contract/Consultant role with working hours typically from 9:00 am-6:00 pm Eastern Standard Time, Monday through Friday. Applicants should have an excellent command of the English language, both spoken and written.

Responsibilities

Improve data pipelines (via automation) with quality checks to ensure data accuracy, consistency, and reliability throughout the entire data processing workflow, reducing manual intervention and minimizing errors; Migrate legacy systems to new systems, involving thorough analysis, seamless data transfer, and integration to enhance system performance and maintain continuity without disrupting existing operations

Requirements

4 to 7 years of experience as a Data Engineer; Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field is preferred; Equivalent hands-on experience is highly valued; Experience working with cloud-based data platforms and environments; Strong SQL skills with data modeling experience for data warehouses; Strong Python skills (especially notebooks) for building and maintaining data workflows; Experience developing and maintaining ETL/ELT processes; Experience working with data warehouses used by reporting/business teams; Experience using Git/GitHub for version control in collaborative environments; Understanding of data engineering best practices, including pipeline orchestration and dependency management; Data quality, validation, and monitoring fundamentals; Hands-on data migration experience, including schema mapping and transformation; Data reconciliation and validation; Data quality checks, integrity validation, and issue resolution; Backfills and historical data handling; Cutover planning and execution; Experience building and maintaining automated data pipelines, including scheduling, orchestration, and failure handling; Workflow reliability, monitoring, and repeatability; Excellent command of the English language, both spoken and written; Must be available Monday–Friday, 9:00 AM – 6:00 PM Eastern Time; Must have a stable internet connection and professional remote working setup; Resume must be submitted in English

Nice to have

Experience within Microsoft Fabric or broader Microsoft Azure data ecosystem; Experience with orchestration tools such as Apache Airflow, Azure Data Factory, or Fabric pipelines; Experience with data quality and observability practices, including validation frameworks, alerting, SLAs, and monitoring; Experience optimizing performance in data environments, including query tuning, partitioning, indexing, and cost optimization; Familiarity with modern data formats and large-scale processing, including Parquet, Delta, and incremental processing patterns; Experience integrating with external systems, including REST APIs, authentication, retries, and error handling; Exposure to CI/CD practices for data workflows, including Git-based deployments, PR workflows, and environment promotion; Clear communication; Ownership & accountability; Problem-solving mindset; Collaboration; Adaptability

Benefits

Paid time off (PTO); Fully remote work environment