Remote - Data Engineering Analyst
About World Business Lenders www.wbl.com World Business Lenders (WBL) is proud to offer short-term, real estate-backed commercial loans to a diverse range of small and medium-sized businesses across the United States, especially those who may find it challenging to secure traditional financing.Typically, the work schedule is from 9:00am to 6:00pm Eastern Time, Monday through Friday, though there might be times when additional hours are needed to meet business demands.We're looking for someone with strong communication skills in both English, both spoken and written. Please note that all resumes should be submitted in English.We are seeking two Data Analysts, one specializing in data engineering & migration, and another focused on data pipeline & automation. Candidates with strengths in either area are encouraged to apply.Key Responsibilities:Improved 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.Migration of legacy systems to new systems, involving thorough analysis, seamless data transfer, and integration to enhance system performance and maintain continuity without disrupting existing operations.Required Education:A Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field is preferred — but we also highly value equivalent hands‐on experience!Required Experience:4 to 7 years of experience as a Data Engineer.We value practical, hands‐on expertise that goes beyond just theoretical knowledge.Required Background / Industry Experience: Required for both roles:Experience working with cloud-based data platforms and environmentsStrong SQL skills with data modeling experience for data warehousesStrong Python skills (especially notebooks) for building and maintaining data workflowsExperience developing and maintaining ETL/ELT processesExperience working with data warehouses used by reporting/business teamsExperience using Git/GitHub for version control in collaborative environmentsUnderstanding of data engineering best practices:Pipeline orchestration and dependency managementData quality, validation, and monitoring fundamentalsRequired for migration-focused role:Hands‐on data migration experience:Schema mapping and transformationData reconciliation and validation (must be strong here)Data quality checks, integrity validation, and issue resolutionBackfills and historical data handlingCutover planning and executionRequired for automation-focused role:Experience building and maintaining automated data pipelines:Scheduling, orchestration, and failure handlingWorkflow reliability, monitoring, and repeatabilityPreferred:Experience within Microsoft Fabric or broader Microsoft Azure data ecosystemExperience with orchestration tools such as Apache Airflow, Azure Data Factory, or Fabric pipelinesExperience with data quality and observability practices:Validation frameworks, alerting, SLAs, monitoringExperience optimizing performance in data environments:Query tuning, partitioning, indexing, cost optimizationFamiliarity with modern data formats and large‐scale processing:Parquet, Delta, incremental processing patternsExperience integrating with external systems:REST APIs, authentication, retries, error handlingExposure to CI/CD practices for data workflows:Git-based deployments, PR workflows, environment promotionKey Soft Skills:Clear communication: can explain data issues, tradeoffs, and results to both technical and business stakeholders.Ownership & accountability: takes end‐to‐end responsibility for pipelines, data quality, and outcomes.Problem‐solving mindset: able to debug complex data issues and work through ambiguity independently.Collaboration: works effectively across engineering, analytics, and business teams.Adaptability: comfortable operating in evolving environments (migration, changing requirements, new tools).Technical Skills:Proficiency in SQL, Python, cloud technologies, and data competency.USD Base Salary.Enjoy Paid Time Off (PTO) after just 6 months of service.Full‐time opportunity.Enjoy the freedom of a completely remote work environment!#J-18808-Ljbffr