Python Data Engineer

January 9

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Altoida, Inc.

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Creating a New Gold Standard in Brain Health With Precision Neurology.

Mobile Health • Digital Health • Medical Device • Healthcare • Predictive Health

11 - 50

💰 $14M Series A on 2022-03

Description

• Design and Implementation: Lead the design, construction, and optimization of systems for data collection, data transformation, and quality verification for Altoida’s proprietary data sets and metadata. • Data Pipeline Management: Create and maintain data pipelines used by both data scientists and business analysts. • Collaboration and Interpretation: Work closely with our internal and external SME to troubleshoot issues, as well as with our data scientists and analysts to efficiently utilize our curated data, and translate complex datasets into actionable insights. • Data Visualization infrastructure: Assist with the development and maintenance of our reporting infrastructure (in terms of data pipelines that feed our dashboards, reports, and custom visualizations, etc). • Continuous Improvement: Proactively identify and implement enhancements in data processing efficiency, integrity, and quality with a sharp eye towards elevating the standards of our data handling practices. • Performance optimization: Contribute to the betterment of Altoida’s data ecosystem and SOPs by helping to improve resource management practices (e.g., within AWS), as well as data storage & retrieval processes across various environments (ie., development, staging, production). • Documentation: Thoroughly document data pipeline processes and systems for internal references, as well as for regulatory requirements (i.e., FDA).

Requirements

• Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. • Five or more years of experience in a Data Engineer role. • Experience using the following software / tools: - Data pipeline/workflow management tools (e.g., Airflow, Luigi). -Container orchestration (Docker, Kubernetes). -AWS cloud services (EC2, EMR, RDS). -Big Data technologies (Spark, Kafka). -Database management (SQL, NoSQL, Postgres). -Python programming for object-oriented/function scripting. • Experience building and optimizing data pipelines, architectures and data sets. • Experience supporting and working with cross-functional teams in a fast-paced, dynamic environment. • Experience performing root cause analysis on data and related processes to identify improvement opportunities. • Excellent communication skills (written, oral, and visual), especially for explaining issues to those with limited expertise in technical fields • Experience with healthcare data (e.g., clinical trials data, claims, ehr/emr systems, etc.) is a plus

Benefits

• Competitive and comprehensive compensation and benefits programs • Specific benefit offerings may vary by location, position, and/or business unit