Data Engineer
Job in
Minneapolis, Hennepin County, Minnesota, 55400, USA
Listed on 2026-09-02
Listing for:
Evlo AI
Full Time
position Listed on 2026-09-02
Job specializations:
-
IT/Tech
Data Engineering, Data Warehousing, Cloud Computing: Infrastructure & Operations
Job Description & How to Apply Below
About The Role
The role owns the design, implementation, and scaling of core data infrastructure and batch and streaming pipelines that ingest, transform, and serve petabyte-scale datasets.
You will collaborate closely with analytics engineers, product teams, and machine learning engineers to ensure reliable data availability and high data quality across the entire enterprise.
Key Responsibilities- Design, build, and optimize scalable data pipelines and ETL processes using Python, SQL, and Apache Spark
- Manage cloud-based data warehouses and data lakes using Snowflake, AWS S3, and Redshift
- Implement data modeling best practices, including dimensional modeling and dbt transformations for analytics readiness
- Monitor data pipeline performance, troubleshoot failures, and optimize query performance to reduce cloud infrastructure costs
- Enforce data governance, data lineage tracking, and automated data quality checks using tools like Great Expectations
- Write clean, version-controlled code in Git, participating in code reviews and infrastructure-as-code deployments via Terraform
- 3–6 years of experience in data engineering, building production‑grade data pipelines and distributed systems
- Advanced SQL proficiency and strong programming skills in Python for data manipulation and automation
- Hands‑on experience with modern data stack tools: dbt, Snowflake, Apache Airflow, and cloud platforms like AWS or GCP
- Solid understanding of data warehousing concepts, schema design, performance tuning, and data governance frameworks
- Bachelor’s degree in Computer Science, Statistics, Engineering, or equivalent practical experience
- Bonus:
Experience with streaming architectures using Kafka, containerization with Docker and Kubernetes, or Infrastructure as Code
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