Required Skills & Experience
- Bachelor’s degree in Computer Science, Engineering, or related field
- 6 - 8 years of experience in data engineering or related field
- Strong experience designing and maintaining production-grade data pipelines in cloud environments
- Advanced proficiency in SQL and query optimization
- Proficiency in Python for data processing and automation
- Experience with Snowflake platform administration and performance tuning
- Experience with data engineering tools such as Apache Spark, Airflow, dbt, or similar
- Strong understanding of data modeling (dimensional modeling, schema design)
- Experience implementing data governance (RBAC, data quality, lineage, metadata)
- Familiarity with CI/CD practices and version control tools (Git)
- Strong analytical, problem-solving, and troubleshooting skills
- Excellent communication skills with ability to translate technical concepts to business stakeholders
- Bachelor’s degree in Computer Science, Engineering, or related field
- 6 - 8 years of experience in data engineering or related field
- Strong experience designing and maintaining production-grade data pipelines in cloud environments
- Advanced proficiency in SQL and query optimization
- Proficiency in Python for data processing and automation
- Experience with Snowflake platform administration and performance tuning
- Experience with data engineering tools such as Apache Spark, Airflow, dbt, or similar
- Strong understanding of data modeling (dimensional modeling, schema design)
- Experience implementing data governance (RBAC, data quality, lineage, metadata)
- Familiarity with CI/CD practices and version control tools (Git)
- Strong analytical, problem-solving, and troubleshooting skills
- Excellent communication skills with ability to translate technical concepts to business stakeholders
- Bachelor’s degree in Computer Science, Engineering, or related field
- 6 - 8 years of experience in data engineering or related field
- Strong experience designing and maintaining production-grade data pipelines in cloud environments
- Advanced proficiency in SQL and query optimization
- Proficiency in Python for data processing and automation
- Experience with Snowflake platform administration and performance tuning
- Experience with data engineering tools such as Apache Spark, Airflow, dbt, or similar
- Strong understanding of data modeling (dimensional modeling, schema design)
- Experience implementing data governance (RBAC, data quality, lineage, metadata)
- Familiarity with CI/CD practices and version control tools (Git)
- Strong analytical, problem-solving, and troubleshooting skills
- Excellent communication skills with ability to translate technical concepts to business stakeholders
- Experience with Medallion architecture (Bronze/Silver/Gold layers)
Nice to Have Skills & Experience
- Experience supporting BI tools (Power BI, Tableau) and ML/AI pipelines
- Experience integrating ERP, transactional, and third-party data sources
- Exposure to data mesh, data contract, or data product frameworks.
Job Description
- Designs, builds, and maintains scalable data pipelines and data architecture, including ELT/ETL processes across multiple data sources.
- Develops and publishes curated datasets and data products for analytics, reporting, machine learning, and application use cases.
- Administers and optimizes Snowflake environments, including database objects, warehouses, and role-based access controls.
- Implements and enforces data governance practices such as data quality validation, metadata management, lineage tracking, and access policies.
- Collaborates with business and technical stakeholders to gather requirements, troubleshoot issues, and deliver data solutions.
- Monitors platform performance and resource utilization, implementing optimizations to balance cost and efficiency.
- Supports onboarding of new data sources and integration of enterprise systems into the data platform.
- Leads data incident response, root cause analysis, and remediation for pipeline or data quality issues.
- Maintains documentation for data architecture, pipelines, governance policies, and standards.
**Must be willing to work onsite in Duluth 5 days a week, can work an earlier shift (7-4PM if needed) Target Salary - 130-150k