Sr. Data Engineer, Data & Analytics Team

Key Skills

Aartificial intelligence, Apache Airflow, Data Biuld Tool - dbt, Data Catalog, Data science techniques, Docker, Effective communication skills, Google Cloud Platform (GCP), Google Dataflow, IT, Machine learning techniques, Optimization, Planning and organization, Python Programming, SQL, Terraform

Job Description

The Role

Overjet is hiring a Senior Data Engineer to design, develop, and implement data solutions that help ensure we have world class data capabilities. You’ll work closely with a team of data scientists, analysts, and product managers to tap the full potential of Overjet’s data assets and AI insights to improve oral health. You’ll work with novel healthcare data generated by our state-of-the-art, proprietary deep learning models to help improve patient outcomes, support provider diagnoses, and boost operating efficiency in reimbursements.

The ideal candidate has strong technical data skills, a highly collaborative style, and pride in building high quality systems and documentation.

Responsibilities

• Data ingestion: Manage ingestion into the data lake from all sources, including native customer systems, company products, enterprise applications. Propose an architectural approach that culminates in near-real-time ingestion, properly staged data protection, with daily or possibly hourly time series to enable analytics-ready datasets
• Optimization: Ensure optimal performance, reliability, and efficiency of the data pipelines
• Data flow: Achieve seamless quality enterprise analytics-focused data flow with fast and flexible expansion, allowing new data sources to be easily integrated into the enterprise analytics systems, with high degree of quality
• Transformation: Improve data transformation processes and data models to simplify and speed up analytics and data consumption by visualization tools and ad hoc analysts and data scientists in the processes of data discovery and analytics
• Enablement: Promote and drive a self-service data culture by working closely with Data Scientists and Analysts on analytic tool and dashboard development
• Data literacy: Lead an approach to data stewardship that promotes data literacy, including development and oversight of taxonomy/categorization of information, business glossary, data dictionary, and knowledge sharing. Work closely with experts on data, including Product Managers, Engineers, enterprise tools vendors
• Quality: Define data quality framework that provides feedback to data sources on quality confirmation or improvements. Support building a culture in the company on understanding and evaluating data quality, set data quality improvement goals, and encourage continuous improvements
• Catalog: Define templates, examples, and implementation of thorough profiles of data entities and data elements, with behavioral expectations, statistics, and levels of reliability/quality that enable data analysts, data scientists, and machine learning modelers to successfully absorb the knowledge and properly use the data
• Data models and protection: Improvements in various data models, that may bring the models closer to their goals and data modeling principles. Adhere and help improve access to sensitive data, such as health, personal, and financial, closely collaborating with security, development operations, and IT, help define access roles, including multi-tenant access to data and analytical dashboard to each customer

Qualifications

• You have 7+ years of hands-on experience as a Data Engineer at a rapidly growing technology company, ideally within a Data & Analytics team
• Expertise with data lakes, data ingestion processes, data visualization tools, data modeling
• Complete fluency in both Python and SQL
• Experience with tools and platforms like GCP, dbt, Docker, Poetry, Terraform, and Airflow
• Excellent written and verbal communication skills
• Expertise in a data cataloging tools, like Atlan, is a plus
• You are passionate about working at a fast-paced, technical, and mission-focused organization