Senior Disputes Data Engineer
New
J
JobgetherFinancial Services
Based in the United StatesFull-TimeSenior
Salary95,800 - 124,500 USD per year
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Job Details
- Experience
- At least 5 years of progressively responsible experience in data engineering, data warehousing, analytics engineering, data integration, business intelligence, or a related discipline.
- Required Skills
- AWSSQLETLMicrosoft Power BISnowflakeAzureDatabricks
Requirements
- Bachelor’s degree in Computer Science, MIS, a related technology field, or equivalent experience.
- At least 5 years of experience in data engineering, data warehousing, analytics engineering, or business intelligence.
- Demonstrated experience designing enterprise-scale data architectures, ETL/ELT pipelines, and data models.
- At least 5 years of professional SQL development experience, including query development and dataset creation.
- Experience creating and modifying macros, queries, and tables (at least 2 years).
- Strong Power BI expertise, including DAX, Power Query, and complex visualizations.
- Experience with BI platforms such as Qlik Sense or Tableau.
- Experience integrating data from APIs, databases, flat files, and cloud environments.
- Strong knowledge of data modeling, metadata governance, and enterprise data-management practices.
- Familiarity with disputes, chargebacks, fraud operations, and case-management systems is preferred.
- Strong analytical and problem-solving abilities.
Responsibilities
- Architect, design, develop, deploy, and optimize scalable data solutions supporting analytics, reporting, business intelligence, and operational workloads.
- Build enterprise data structures, schemas, dimensional models, and pipelines from the ground up, with a focus on scalability, reliability, and maintainability.
- Design, develop, and support ETL/ELT frameworks and automated data-integration processes across multiple data sources.
- Develop and maintain API integrations and ingestion frameworks connecting databases, flat files, cloud platforms, third-party applications, and other systems.
- Implement cloud-native data solutions using technologies such as Azure, AWS, Snowflake, Databricks, Synapse Analytics, or comparable platforms.
- Lead database performance-tuning initiatives, including indexing strategies, execution-plan analysis, workload optimization, and query performance improvements.
- Develop advanced SQL solutions using CTEs, window functions, complex joins, stored procedures, analytical functions, and relational modeling principles.
- Create and maintain analytical datasets, dashboards, and reporting solutions.
- Apply data modeling, metadata governance, and data pipeline best practices.
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