Data Integration and Governance Analyst
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 1h ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 23h ago
The date the source published, not the day we noticed it (2026-10-13). Last seen at its source just now.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
Turkey, Argentina, Costa Rica, Guatemala, Pakistan, Colombia
The description states no restriction of its own. This is the source's own tag.
Pay not stated
Similar roles pay $902–2,225/mo
Middle 50% of 10 listings that do state pay — Operations · all levels · Argentina · USD/month. This employer has published no salary; this is what comparable listings we hold disclose, never converted between currencies or periods. How this is calculated.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
-
Workable employer's own board first seen 1h ago · last seen just now
The listing
Overview
- 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.
We request that you submit your CV in English.
Job Duties and 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.
Requirements
Role Requirements
Education:
- A Bachelor’s degree Computer Science, Engineering, Information Systems, or a related field is preferred — but we also highly value equivalent hands-on experience.
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
- 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:
- Pipeline orchestration and dependency management
- Data quality, validation, and monitoring fundamentals
Required for migration-focused role
- Hands-on data migration experience:
- Schema mapping and transformation
- Data reconciliation and validation (must be strong here)
- Data quality checks, integrity validation, and issue resolution
- Backfills and historical data handling
- Cutover planning and execution
Required for automation-focused role
- Experience building and maintaining automated data pipelines:
- Scheduling, orchestration, and failure handling
- Workflow reliability, monitoring, and repeatability
Preferred
- 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:
- Validation frameworks, alerting, SLAs, monitoring
- Experience optimizing performance in data environments:
- Query tuning, partitioning, indexing, cost optimization
- Familiarity with modern data formats and large-scale processing:
- Parquet, Delta, incremental processing patterns
- Experience integrating with external systems:
- REST APIs, authentication, retries, error handling
- Exposure to CI/CD practices for data workflows:
- Git-based deployments, PR workflows, environment promotion
Key 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.
Work Requirements
- Must be available to work 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 to be considered.
Benefits
What We Offer
💰 Compensation in USD.
🏖️ Benefits include paid time off (PTO).
🌍 Work Environment: Fully remote work environment.
Ready to Apply?
If this sounds like you, we'd love to hear from you - submit your CV in English and hit Apply