Data Engineer

Dakota Software

Dakota Software is dedicated to transforming data into insightful solutions that drive business success. The Data Engineer role is crucial for enhancing their data processes and infrastructure, contributing to customer lifecycle management, and supporting advanced analytics. The team is focused on creating efficient data models and pipelines, aiming for continuous improvement and integration of best practices.

In this role you can expect to have the responsibilities:

• Construct data pipelines for cleaning, transforming, and aggregating data from diverse sources.
• Integrate data sources with third-party tools like GoodData and Tableau for enhanced insights.
• Analyze and interpret data for trends and patterns.
• Build and manage data lakes, warehouses, and cloud storage solutions.
• Collaborate with software developers to implement analytical models in production.

This role comes with the following benefits:

• Medical, Dental, Vision & 401k with Employer Match.
• Volunteer Day.
• PC Co-op.
• 9/80 work schedule with every other Friday off.
• Employer Paid Disability & Life Insurance.

This role requires you to have:

• Bachelor's degree in a related field.
• 3+ years experience with Python, SQL, and data visualization tools.
• Proficiency in data mining, statistical analysis, and pattern recognition.
• Strong communication skills for technical and non-technical audiences.
• Experience with Microsoft and Azure ecosystems.

You would benefit from having:

• Experience with ETL processes and embedded BI systems like Wyn and GoodData.
• Familiarity with cloud-based AI searches.
• 2+ years of project management experience.
• Professional certification.

The role requires the candidate to reside in certain U.S. states, and preference is given to those in the Eastern Time Zone.