Job Description
Job DescriptionDescription:
We are seeking a Mid-Level Data Engineer to help design, build, and maintain scalable, secure, and high-performance data systems that support our cloud-based, multi-tenant SaaS platform. In this role, you will collaborate with cross-functional teams to develop data pipelines, optimize data storage solutions, and ensure high data quality and reliability across our analytics and operational workloads.
Key Responsibilities
- Design, develop, and maintain scalable ETL/ELT pipelines using Azure Data Factory (ADF), SSIS, or equivalent tools.
- Build and optimize data lakes and data warehouses using Azure and Snowflake.
- Work with structured and semi-structured data, integrating sources across systems and services.
- Develop secure and performant data models to support business intelligence tools like Power BI.
- Collaborate with engineers, analysts, and product managers to align technical solutions with business goals.
- Implement and enforce best practices for data governance, quality, and metadata management.
- Monitor and troubleshoot data workflows and pipelines in production environments.
- Participate in code reviews, sprint planning, and technical discussions in an Agile environment.
- Contribute to CI/CD processes and infrastructure-as-code practices using tools like Terraform.
- Stay current with emerging data technologies and propose solutions that enhance reliability and scalability.
Required Qualifications
- 3+ years of professional experience in data engineering.
- Experience with Development practices in an object-oriented language.
- Proficiency in SQL and experience with Azure Data Factory, Data Lake, and Snowflake (or similar platforms).
- Experience building ETL/ELT processes and working with data orchestration tools.
- Familiarity with data modeling, schema design, and performance optimization for SQL and NoSQL databases.
- Hands-on experience with cloud environments (preferably Azure).
- Exposure to DevOps practices, CI/CD pipelines, and infrastructure automation tools like Terraform.
- Strong analytical and problem-solving skills.
- Effective communication and collaboration skills in a team setting.
Benefits
- Medical, Dental, and Vision Insurance
- Flexible PTO Program
- Paid Sick and Safe Time
- 401(k) with company match
- Life Insurance, LTD, and AD&D Insurance
- Flexible Spending Accounts
- Monthly company events
- Hybrid work schedule
- Professional development stipend
- And much more!
Requirements:
- Must live in Minnesota and have reliable transportation to comply with our 2 day/week in office policy
- 3+ years of professional experience in data engineering
- Proficiency in SQL and experience with Azure Data Factory, Data Lake, and Snowflake (or similar platforms)
- Strong analytical and problem-solving skills