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Job Description: About the job
Seeking an experienced Data Engineer to be responsible for designing, developing, and operationalizing data pipelines that make data accessible and reliable for reporting, analytics, and advanced data science use cases. This role focuses on data ingestion, transformation, validation, quality assurance, orchestration, and pipeline optimization. The Data Engineer will collaborate closely with DevSecOps during CI | CD processes and contribute to building scalable, high-performance data solutions that support real-time and batch workloads.
Strong proficiency in Golang and hands-on ETL development are essential for this role.


QUALIFICATIONS

Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, or a related quantitative field.
2-4 years of related experience, or equivalent experience demonstrating equivalent knowledge, responsibilities, and technical depth.
Strong proficiency in Golang (Golang development is required)
Hands-on ETL experience (batch and/or streaming)
Experience building scalable data pipelines and data integrations
Background in data modeling, data structures, and database fundamentals
Experience with orchestration tools (Airflow, Argo, Prefect, etc.) is a plus
Familiarity with CI | CD pipelines and DevSecOps principles


This role will sit REMOTE