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Jobs via Dice · 1 day ago

Data & Analytics Engineer

United States

Full-time

Remote

Mid Level

$80K/yr - $160K/yr

Turnberry is a consulting company that provides insights and advanced analytics solutions. As a Data & Analytics Engineer, you will design and maintain analytical data models, develop data pipelines, and collaborate with various stakeholders to optimize data solutions.

Computer Software

Responsibilities

Independently design, test and maintain scalable analytical data models; participate in peer code review

Develop and optimize data pipelines, including UAT for code releases

Participate in agile ceremonies and contribute to sprint goals

Troubleshoot and resolve data-related issues

Assist team in design and implementation dashboards based on business needs, ensuring optimized performance

Collaborate with analysts, engineers, and stakeholders

Provides guidance to junior engineers and collaborates with peers

Qualification

Analytical Data ModelingData Pipeline DevelopmentData TroubleshootingDevOps & Code ManagementSQLETL/ELT ToolsMicrosoft Certified Power BIAgile MindsetCommunication Skills

Required

Analytical Data Modeling: Design, test, and maintain scalable analytical data models using SQL and data modeling best practices. Participate in peer code reviews to ensure quality and consistency

Data Pipeline Development: Build and optimize ETL/ELT pipelines using tools like dbt. Conduct UAT and manage code releases to ensure reliable data flow and system performance

Data Troubleshooting & Problem Solving: Diagnose and resolve data-related issues using strong analytical and problem-solving skills. Translate complex business logic into efficient, accurate data queries

DevOps & Code Management: Skilled in version control systems for collaborative development and code management (i.e Azure DevOps, GitHub)

Strong Communication and Collaboration Skills: Collaborate with analysts, data engineers, and business stakeholders to align data solutions with strategic goals. Communicate effectively across technical and non-technical teams

Agile Mindset: Actively participate in agile ceremonies and contribute to sprint goals. Apply agile principles to respond to change, iterate quickly, and continuously improve team processes and product outcomes

Education: Bachelors in Computer Science, Data Science or Related Field

Relevant Certifications: Microsoft Certified Power BI Data Analyst