Senior Data Engineer

1 week ago


Minneapolis, United States JobRialto Full time
Job Summary

The Senior Data Engineer will play a key role in designing, developing, and maintaining scalable data pipelines and data warehouse solutions to support business intelligence and analytics needs.

Collaborating closely with cross-functional teams, the engineer will focus on integrating data from various systems, optimizing reporting processes, and enabling actionable insights.

This role requires hands-on experience with modern data engineering tools, cloud technologies, and Agile development practices.

Key Responsibilities
  • Collaborate with stakeholders to design data extracts and pipelines based on reporting requirements.
  • Build and maintain scalable data pipelines from data warehouses to business intelligence tools.
  • Ingest large and complex datasets into data warehouses in collaboration with IT DevOps teams.
  • Architect all phases of software engineering, including requirements analysis, design, code development, and testing.
  • Develop reusable components, frameworks, and libraries for data engineering processes.
  • Perform design and code reviews to ensure alignment with best practices in scalability, security, and maintainability.
  • Enhance system performance and infrastructure components while ensuring data security.
  • Support the People Analytics team with standard datasets, reporting tools, and actionable insights.
  • Research APIs, ensure compliance with business and security standards, and implement necessary updates.
  • Lead change initiatives, maintain internal documentation, and coach team members on best practices.
  • Leverage Agile methodologies to deliver high-quality solutions efficiently.
  • Act as a mentor and resource for other data engineers, fostering knowledge sharing and collaboration.
Required Qualifications
  • 3+ years of experience in data engineering and full lifecycle software development.
  • Proficiency in modern programming languages such as Python, Java, or Scala.
  • 2+ years of experience in SDLC within an Agile environment.
  • Working knowledge of APIs, CI/CD, data architecture, governance, and Big Data technologies.
  • Experience with cloud technologies (e.g., Docker, Kubernetes, AWS, Snowflake, Azure).
  • Hands-on experience with Jenkins, GitHub, Spark, and relational databases.
  • Expertise in ingesting and managing large, complex datasets.
  • Strong experience gathering requirements and collaborating with end users.
Preferred Qualifications
  • Experience in data extraction, manipulation, and quality assurance processes.
  • Familiarity with statistical methodologies and measurements.
  • Project management skills with experience leading teams or large-scale projects.
  • Proficiency in creating user stories following Agile methodologies.
  • Knowledge of Agile tools such as Rally or Swift.


Education: Bachelors Degree

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