Remote Full Stack Data Engineer Job in United States MMD Services

Who you are

• 7+ years of data engineering experience with expertise in backend database engineering and frontend report development
• Hands-on experience with Azure database technologies and Databricks including data modeling and the development of custom data solutions
• Extensive experience working with MS SQL databases including complex SQL scripting and database optimization
• Proficient in developing impactful visualizations and reports using Power BI that drive business decisions
• 3+ years of experience in developing and maintaining scalable and high-performance ETL pipelines
• Strong ability to interpret business requirements and translate them into effective data solutions
• Experience performing unit testing on code to ensure data integrity and accuracy
• Proven success in working across multiple teams with a strong ability to communicate technical concepts to non-technical stakeholders
• A proactive self-starting attitude with a focus on continuous process improvement and innovation

Desirables

• Automated Testing/DevOps
• Logistics Industry Experience

What the job involves

• Take ownership of designing developing and maintaining robust data pipelines that ensure the smooth flow of data across the organization
• Manage and optimize database systems focusing on both backend development and the alignment of data architecture with business goals
• Work closely with leadership to understand business dynamics provide data-driven recommendations and continuously improve data processes
• Design and develop advanced data visualizations using Power BI transforming complex data sets into actionable insights for various business units
• Utilize Databricks to create custom ETL pipelines and dashboards offering tailored solutions that meet specific business needs
• Apply best practices in version control data processing and testing to maintain high-quality standards across all data engineering activities
• Engage in cross-functional collaboration bridging the gap between backend data systems and frontend reporting tools ensuring seamless integration and optimal performance