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Remote role, metro location, and a popular early-career data title increase applicant competition.
Core data engineering skills (SQL, pipelines, cloud) are broadly transferable across industries.
Explicit 1–3 year requirement plus mandatory data skills create moderate filtering without strict certifications.
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Contribute to design, delivery, and maintenance of data solutions supporting analytical development and business objectives.
Collaborate with cross-functional teams to gather data requirements and ensure high quality data assets with a focus on data quality.
Support and extend modern data architecture and DevOps capabilities for scalable data engineering projects.
1-3 years experience in data engineering or related technical role; recent graduates with strong projects considered.
Bachelor's degree or higher in Computer Science, Statistics, Business, IT, or related field.
Foundational proficiency in SQL and beginner to intermediate Python programming.
Notice Period: Up to 15 days considered.
Comfortable working under guidance of senior engineers, actively seeking feedback to improve technical skills and code quality.
Willingness to develop deeper cloud platform and DevOps skills on the job (exposure to Azure, AWS, or GCP preferred).
Effective collaborator able to work across business and technical teams to deliver data solutions in an Agile environment.