Entry Level Data Engineer

Meijer - Grand Rapids, MI

Full-time - Entry Level

Hybrid - Grand Rapids, MI

10,001+ employees

General Merchandise Retailers

About the position

The Entry Level Data Engineer at Meijer will be responsible for coding, testing, and implementing data movement flows while configuring and administering supporting applications. This role requires problem-solving skills and the ability to work collaboratively within a team to optimize system performance and address interoperability issues. The position is part of the MarTech development team and involves working in a hybrid environment, requiring presence in the Grand Rapids office three days a week.

Responsibilities

• Codes, tests, and implements data movement artifacts and configures/administers supporting applications.
• Develops appropriate programs and systems documentation according to SAFe Agile principles and industry standards.
• Runs unit tests and monitors test results, taking required corrective action.
• Demonstrates initiative in solving different problems and proposes effective solutions.
• Assists in the deployment of data movement flows and supporting applications or coordinates, implements, and configures vendor software applications.
• Collaborates with the Business Product Owner and IT partners to create and refine user stories and acceptance criteria for projects.
• Aids in systems development planning and monitoring.
• Understands and practices secure coding techniques and processes while using the Agile framework.
• Participates in structured walk-throughs, secure coding, and technical reviews.
• Participates with other IT members, customers, and stakeholders in new product reviews, tests, and pilots.
• Actively participates in all Agile team ceremonies.
• Assists in production support and maintenance of data movement flows and supporting applications as needed.
• May provide facilitation of activities for Agile teams within ITS as acting Scrum Master.

Requirements

• 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.
• Minimum 3 years of experience in data engineering development; any tool support and administration or application development experience a plus.
• Working knowledge of Python and SQL is a must.
• Experience building data and analytics solutions using Azure ADLS, Data Factory, Databricks, Synapse Analytics is preferred.
• Familiarity with digital marketing domain and/or experience supporting Google Marketing Platform (CM360, DV360, SA360, GAM) and Salesforce MCI/Datorama is a plus.
• Experience as a team member on project teams in a cross-functional environment.
• Experience on Agile teams is preferred.
• Knowledge of data movement development tools, coding and/or scripting languages and testing.
• Knowledge and understanding of structured analysis and technical design techniques.
• Knowledge of database management and file access methods is desirable.
• Strong analytical and problem-solving skills.
• Strong verbal and written communication skills with an ability to express complex technical concepts in business terms.
• Solid teamwork, interpersonal and communication skills.
• Ability to work well on cross-functional project teams and foster team commitment to tasks.
• Knowledge of agile practices in a cross-functional environment preferred.
• Ability to effectively adapt to rapidly changing technology and apply it to business needs.
• Ability to establish and maintain a high level of customer trust and confidence.
• Ability to provide high level of quality and productivity.

Nice-to-haves

• Experience supporting Google Marketing Platform (CM360, DV360, SA360, GAM) and Salesforce MCI/Datorama is a plus.
• Experience on Agile teams is preferred.

Benefits

• Weekly pay
• Scheduling flexibility
• Paid parental leave
• Paid education assistance
• Team member discount
• Development programs for advancement and career growth