Acubed · 3 days ago
Senior Data Engineer
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Responsibilities
Design, develop, and maintain scalable data and labeling pipelines for computer vision projects
Manage and optimize data storage solutions to ensure efficient data retrieval and processing
Collaborate with machine learning engineers to understand data requirements and ensure the availability of high-quality labeled datasets
Develop and maintain tools and processes for data labeling, including annotation workflows, quality control, and validation procedures
Implement data governance and security protocols to ensure data hygiene
Monitor and troubleshoot data pipeline issues, ensuring timely resolution and minimal disruption to project timelines
Stay up-to-date with the latest trends and technologies in data engineering and computer vision, and apply this knowledge to improve data infrastructure and processes
Qualification
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Required
Bachelor’s in Computer Science, Data Engineering, and 3 to 5 years of experience in a related field
Proven experience as a Data Engineer, preferably with a focus on computer vision and data labeling
Strong programming skills in Python, SQL, and experience with distributed computing
Proficiency in data modeling, ETL processes, and data pipeline design
Experience with data annotation tools and frameworks
Familiarity with cloud platforms (AWS, GCP, Azure), workflow management tools (Airflow, Dagster) and tools that simplify data movement (e.g., Airbyte)
Strong understanding of OLTP databases like Postgresql is critical in this role
Excellent problem-solving skills and attention to detail
Strong communication skills and the ability to work effectively in a collaborative team environment
Benefits
Medical
Dental
Vision
401(k)
Flight training