data engineer

$122,720 - $124,800/Yr

Randstad - Grand Rapids, MI

Full-time - Mid Level

Grand Rapids, MI

Administrative and Support Services

About the position

The Data Engineer position at Randstad US involves working in a large retail setting to assist with ongoing deliverables. The role requires expertise in various data technologies and tools, particularly in the marketing domain, and focuses on designing, coding, testing, and implementing data movement and analytical assets. This is an onsite contract role based in Grand Rapids, Michigan.

Responsibilities

• Designs, codes, tests, and implements data movement, dashboarding, and analytical assets; develops system documentation according to SAFe Agile principles and industry standards.
• Evaluates architectural options and defines overall architecture of enterprise Data Lake and Data Warehouse.
• Provides subject matter expertise and technical consulting support on vendor or internal applications and interfaces including Azure - Data Factory, Log Analytics, Databricks, Synapse, Power BI, ADLS Gen2.
• Defines functional and non-functional requirements including performance monitoring, alerting, and code management, ensuring alignment with technology best practices and SLAs.
• Partners with all areas of the business to gather requirements for Data and Analytics and designs solutions.
• Determines major elements and subsystems and defines interfaces as well as architectural runway.
• Mentors and coaches other members of the agile and/or Run team.
• Drives engagement with ITS Security and Infrastructure teams to ensure secure development and deployment of solutions.
• Interfaces with the Product Manager and IT partners at the Program level and within other Release Trains to define and estimate features for agile teams.
• Conducts industry research, facilitates new product and vendor evaluations, and assists in vendor selection.

Requirements

• 6+ years industry experience in business application design, development, implementation, and/or solution architecture.
• Bachelor's degree in Computer Science, Computer Information Systems, Business Information Systems, Engineering or related discipline or equivalent work experience and technical training is required.
• Experience building and designing data and analytics on enterprise solutions such as Azure - Data Factory, Log Analytics, Databricks, Synapse, Power BI, ADLS Gen2.
• Databricks experience is required.
• Experience designing data pipelines, ingestion, storage, prep-train, model and serve using above technologies.
• Understanding of architecture practices and execution for large projects/programs.
• Excellent written and oral communications skills.
• In-depth understanding of computer, storage, network components including backup, monitoring and DR environment requirements.
• Experience with multiple, diverse technical configurations, technologies, and processing environments.
• Exceptional interpersonal skills, including teamwork, facilitation, and negotiation.

Nice-to-haves

• SAFe certification or training

Benefits

• Health insurance coverage
• 401K contribution
• Incentive and recognition program