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Job Requirements of Agency Staff:
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Employment Type:
Contractor
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Location:
Grand Rapids, MI (Onsite)
Do you meet the requirements for this job?
Agency Staff
Job Title: Data Engineer
Location: 100% Hybrid (Onsite cadence: Tuesday–Thursday; Work from home: Friday and Monday)
Duration: Contract
Equipment: Provided by Client
Job Summary
Data Engineers work collaboratively with architects, business intelligence developers, data analysts, and data scientists to build and maintain analytic solutions utilizing both traditional on-premises and cloud-based platforms.
The mid-level Data Engineer is primarily responsible for building and maintaining data pipelines and contributing to the development and maintenance of data assets.
Essential Functions
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Under minimal supervision, develop, test, and deploy ELT/ETL processes across multiple sources, targets, and tools.
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Provide support and recommendations to associate engineers to enhance their technical skills.
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Collaborate with data consumers of varying skill levels on available data sources and potential dataset biases.
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Provide operational and ad-hoc support for troubleshooting and maintenance of systems and applications related to data warehouses, datasets, and pipelines.
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Assist in data model design under the guidance of senior team members; build models using a variety of sources and targets while learning enterprise architecture standards.
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Adhere to best practices and organizational standards of the Software Development Lifecycle to ensure high-quality and reliable data assets.
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Follow standards and laws governing the use of sensitive data (PHI and PII).
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Learn and apply Continuous Integration and Continuous Development (CI/CD) principles and best practices.
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Participate in Agile ceremonies; recommend programming approaches and solutions to complex applications.
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Work with senior team members to capture, document, and groom features and stories for planning and execution.
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Pursue opportunities to grow business acumen and technical skills; coach less experienced team members.
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Actively contribute to the Data Engineering Community of Practice through discussions and special initiatives.
Qualifications
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Education: Bachelor’s degree (or equivalent) in Computer Science, Application Programming, Software Development, Information Systems, Database Administration, Mathematics, Engineering, or related field.
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Experience: 2–5 years of relevant experience required.