Data Engineer: Build Scalable Pipelines & Insights

Ycotek; Minneapolis, Northern (MN, KY); Hybrid; USD 90,000 - 140,000; Full time

Job summary

Ycotek is seeking a Data Engineer to design, build, and optimize data pipelines and data lakes. You will collaborate with analysts and data scientists to translate business needs into scalable technical solutions and ensure data quality and governance.

The role involves working with SQL, Python, data warehousing technologies, and ETL tools, with opportunities to mentor junior engineers and contribute to a high-performing data team.

Qualifications

• Proficient in SQL and Python for data engineering tasks.
• Experience with data warehousing technologies and ETL tools.
• Strong relational data modeling and architecture knowledge.
• Excellent communication to translate business needs for technical solutions.

Responsibilities

• Design, develop, and optimize data pipelines and ETL processes for ingestion, transformation, and integration from multiple sources.
• Manage data warehouses and data lakes with a focus on accuracy, availability, and security.
• Collaborate with stakeholders, analysts, and data scientists to translate requirements into solutions.
• Implement data quality frameworks, monitoring, and performance tuning.
• Contribute to data modeling, architecture, and governance best practices.
• Support dashboards, reports, and analytical models to provide insights.
• Mentor junior engineers and foster collaboration and technical excellence.

Skills

SQL

Python

Data warehousing

ETL tools

Data modeling

Communication

Education

Bachelor’s in CS/Engineering/Data Science

Master’s preferred

Tools

Snowflake

Redshift

BigQuery

Airflow

Talend

Fivetran

Tableau

Power BI

Looker

AWS

GCP

Azure

Hadoop

Spark

Kafka

Job description

Ycotek is seeking a Data Engineer to design, build, and optimize data pipelines and data lakes. You will collaborate with analysts and data scientists to translate business needs into scalable technical solutions and ensure data quality and governance.

The role involves working with SQL, Python, data warehousing technologies, and ETL tools, with opportunities to mentor junior engineers and contribute to a high-performing data team.