Design and develop data integration solutions for a Financial Services Corporation
Compensation
Pay range: $60.00 - $70.00 per hour
Responsibilities
Design and develop data integration solutions, including data/batch processing, data manipulation, data mining, and data extraction/transformation/loading
Utilize Python/Pyspark and AWS tools to deliver business value in line with company objectives
Lead technical contributor to the enhancement and maintenance of Charles River IMS modules, driving platform innovation and modernization.
Locations (2)
Gdansk, Pomeranian, Poland
Krakow, Poland
Compensation
Minimum Salary: zł282 000 Annual
Responsibilities
Design and implement scalable, performant and highly available distributed database solutions
Collaborate with peers across scrum teams to design and deliver database design conforming to database best practices and meet business and application requirements
Create and maintain comprehensive documentation of database design, data models, configurations, and processes
Write complex SQL queries, stored procedures, and scripts to support application development
Optimize performance through indexing, SQL query optimization, and other database tuning techniques
Requirements
Systems Architect 2 - Cloud Data Engineer (Databricks)
U.S. Bank National Association · Posted Nov 3, 2026
Provides technical direction, guidance and support for architectural development that encompasses multiple technology disciplines, platforms and applications.
Compensation
Pay Range: $111,605.00 - $131,300.00
Responsibilities
Design and implement scalable Databricks Lakehouse architectures supporting enterprise data processing, analytics, and high-volume workloads.
Develop data solutions using Databricks, Python, PySpark, Databricks SQL, and Delta Lake.
Modernize and migrate complex Oracle SQL and PL/SQL workloads to Databricks and cloud-based data platforms.
Design and implement high-volume ETL/ELT pipelines, data ingestion, transformation, orchestration, and integration solutions.
Optimize Databricks performance, including SQL queries, data layouts, compute utilization, jobs, and distributed data processing.