Horizontal Talent
Data Engineer
Rochester, Minnesota, USA · full-time
Sponsorship not specified$33k-$67kDetected 49 days ago
PythonGitSQLAzureCI/CDDevOpsData EngineeringData VisualizationCybersecurity
About the role
- This role will focus on data ingestion, transformation, quality, lineage, and governance, ensuring trusted and reliable data is available for downstream consumers.
- Ensure data quality, consistency, and reliability through validation, monitoring, and troubleshooting processes.
Responsibilities
- Design, develop, and maintain scalable ETL/ELT pipelines to support enterprise data and analytics initiatives.
- Build and optimize data ingestion and transformation processes for structured and semi-structured data sources.
- Implement data cleansing, shaping, aggregation, and enrichment processes to prepare data for reporting and analytical use cases.
- Support and maintain modern data platform architectures, including Delta Lake and Medallion (Bronze, Silver, Gold) data models.
- Maintain and document data lineage, enabling traceability from source systems through downstream reporting and analytics solutions.
- Collaborate with BI, analytics, governance, and business teams to understand data requirements and deliver trusted datasets.
- Support reporting and dashboard solutions, with a preference for experience working with Power BI environments.
- Implement and maintain data security controls, including role-based access control (RBAC) and governance standards.
- The ideal candidate is a hands-on engineer with strong SQL and Python skills who thrives in a collaborative environment and is passionate about building well-governed, high-quality data solutions.
- Proven experience designing, building, and supporting scalable data pipelines and data platforms.
Requirements
- 3-5+ years of experience in Data Engineering or a related field.
- Strong proficiency in SQL and Python.
- Hands-on experience with ETL/ELT development and data integration frameworks.
- Familiarity with data security concepts and role-based access control (RBAC).
- Required Qualifications 3-5+ years of experience in Data Engineering or a related field.
- Strong understanding of modern data architecture concepts, including:
- Preferred Qualifications Experience with Microsoft Fabric.
Nice to have
- Experience with Microsoft Fabric.
- Familiarity with data catalog and lineage tools such as Purview or similar platforms.
- Experience with CI/CD pipelines and DevOps practices using Azure DevOps, Git, or similar tools.
- Exposure to streaming data platforms or real-time data ingestion patterns.
- Experience working within enterprise data governance programs.
- Please apply through this online posting or by visiting our Job Board at Applications will be accepted for 4 weeks.
Compensation
- The pay range for this role is $33 - $67 per hour based on qualifications and experience.
Benefits
- For those that join the team, we offer competitive compensation and benefits including medical, dental, vision, and retirement.
Company info
- Check out all we have to offer and how you can become part of the Horizontal Talent Team.
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This listing is sourced directly from Horizontal Talent's careers page and normalized into a canonical job model.