Data Engineer

URUS Group

. Design, develop, and maintain robust ETL pipelines and processes on Databricks.

Posted 9/22/2026full-timeMadison • Wisconsin • United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and maintaining ETL pipelines using Databricks, Python, and Spark, while ensuring data quality and performance optimization. Proficient in data warehousing concepts and skilled in SQL Server and SSIS development.

Highest-signal resume keywords

Databricks DevelopmentPython ProgrammingSQL Server ProficiencyData Warehousing ConceptsSSIS Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

ETL Pipeline DesignData IntegrationSQL ProgrammingData Quality ChecksPerformance OptimizationBatch and Streaming ArchitecturesData Lake ArchitectureT-SQLStored ProceduresData Cleansing

Soft Skills

Analytical SkillsProblem-Solving SkillsCommunication SkillsInterpersonal SkillsTeam Collaboration

Tools & Technologies

DatabricksSSISSSRSMicrosoft AzureMicrosoft FabricSparkDelta Lake

Industry Keywords

Data EngineeringAgile MethodologiesData Warehouse DesignAI/ML WorkloadsReporting Requirements

Tech Stack

Tools & technologies

AzureCloudETLPythonSparkSQLSSIS

About the role

Key responsibilities & impact

Design, develop, and maintain robust ETL pipelines and processes on Databricks.
Troubleshoot and resolve Databricks and SSIS pipeline/package errors and performance issues.
Optimize data flow performance and minimize data latency.
Implement data quality checks, validations, and cleansing procedures.
Develop and maintain Databricks pipelines and datasets using Python, Spark, and SQL.
Design and implement batch and streaming data lake architectures for analytics and AI/ML workloads.
Optimize Databricks jobs for performance and cost-effectiveness.
Integrate Databricks with other data sources and systems.
Migrate legacy SSIS packages and SQL Server procedures to Databricks pipelines.
Participate in data warehouse design and implementation.
Collaborate with business users on department reporting requirements.
Maintain complex SSRS reports, dashboards, and visualizations.
Troubleshoot SSRS report performance and data consistency issues.
Collaborate with business users, data analysts, and IT teams.
Document development work and procedures.
Contribute to AI-assisted tooling, strategies, and best practices.
Keep current with data integration, reporting, and data engineering advancements.

Requirements

What you’ll need

Bachelor's Degree in Computer Science, Information Systems, or a related field.
Experience in data integration and reporting.
Extensive experience with Databricks, including Python, Spark, and Delta Lake.
Experience with data warehousing concepts and best practices.
Strong proficiency with AI-assisted development tools.
Strong proficiency in SQL Server, including T-SQL, stored procedures, and functions.
Experience with SSIS (SQL Server Integration Services) development and maintenance.
Experience with SSRS (SQL Server Reporting Services) report design and development.
Experience with Microsoft Azure cloud platform and Microsoft Fabric desirable.
Strong analytical and problem-solving skills.
Excellent communication and interpersonal skills.
Ability to work independently and as part of a team.
Experience with Agile methodologies.