Manager of Data Engineering, Arine
Solutions Group
$170-190k
More information about location
Comprehensive medication management
Be an early applicant
Comprehensive medication management
201-500 employees
Be an early applicant
$170-190k
More information about location
201-500 employees
Company mission
To ensure that every individual receives the safest, most effective and most appropriate treatment for their unique and evolving healthcare needs.
Role
Who you are
- MS in Computer Science, Math, Physics, or a related field
- 5+ years of experience in software or data engineering
- 2+ years of relevant and direct management experience
- Proven experience building complex ETL pipelines from scratch, with a focus on scalability and reliability
- Strong background in AWS (Lambda, EventBridge, Step Functions, S3, ECS, etc.)
- Proficiency in Python (for orchestration and configuration) and SQL (for data transformations)
- Experience with Snowflake for data transformations and Jenkins for CI/CD pipelines
- Knowledge of security and encryption standards and best practices
- Hands-on experience with system design
- Strong technical documentation skills
- Critical and strategic thinking
- Team development including coaching, mentorship, and performance feedback
- Ability to form highly collaborative relationships with peers and stakeholders
- Experience working in an Agile environment
- An established private work area that ensures information privacy
- A stable high-speed internet connection for remote work
What the job involves
- Arine is seeking a Manager of Data Engineering for our Solutions team
- In this critical role, you will lead a team of talented data engineers to build and maintain scalable data pipelines and data infrastructure
- This critical role combines technical leadership with hands-on expertise in system and process design, ensuring that data quality, performance, cost optimization and system reliability remain at the forefront of our data operations
- The ideal candidate will bring a combination of deep engineering expertise with an emphasis on data architecture and system design
- The ideal candidate has proficiency with AWS and a track record of delivering scalable cloud data pipelines
- Lead and mentor a team of 4 data engineers, fostering a collaborative, high-performance culture
- Build and maintain scalable data pipelines, ensuring data quality is the highest priority
- Integrate software engineering best practices into the Data Services organization, including unit testing, integration testing, and release management
- Harden existing ETL pipelines, ensuring resilience to data and process failures
- Implement data validation and monitoring processes for data ingestion to ensure integrity and transparency
- Optimize data processing, focusing on speed improvements and cost reductions (e.g. , incremental data processing)
- Work cross-functionally with engineering teams to integrate processes and improve overall data workflows across the platform
- Document and communicate system design, process improvements, and technical decisions
- Ensure adherence to security and compliance standards, including data encryption, access control, and segregation
- Conduct regular 1-on-1 meetings with team members to provide guidance, support, and performance feedback
- Set clear goals and objectives with each direct report, aligning individual contributions with overall team and organizational goals
- Review and evaluate team performance semi-annually, providing constructive feedback and recognition
- Lead discussions on career development, training needs, and potential growth opportunities for team members
- Foster a culture of continuous improvement within the data engineering team by encouraging experimentation and the adoption of new methods and best practices
- Stay updated on industry trends, tools, and technologies to enhance the team’s capabilities and overall effectiveness
- Evaluate and recommend tools and processes that improve data operations efficiency and effectiveness
- Ensure compliance with data governance policies and best practices, maintaining data integrity and security across all data operations efforts
- Develop and maintain documentation for data operations methodologies, processes, and standards to promote knowledge sharing and consistency within the team
- Create and implement access roles adhering to the Minimum Necessary HIPAA privacy rule
Our take
Medication mismanagement costs the healthcare industry a huge amount of money every year, and what's more, it has a significant impact on patient outcomes. Arine solves this problem with its comprehensive medication management solutions.
Arine was founded by an experienced team of health experts and senior developers, whose joint expertise has shaped the platform considerably. Arine improves ROI for health plan providers, while improving patient satisfaction and reducing readmission rates. Confidence in Arine's tech is riding high in the industry, with the company raising an impressive amount of funding since its launch.
The health plan industry is changing rapidly, with many startups looking to disrupt outdated processes. However, Arine's considerable impact, financial backing and naming on the Inc 5000's 2024 list of fastest-growing private companies is a testament to its continued scalability.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (2 rounds)
Aug 2022
$18.5m
SERIES B
Oct 2021
$11m
SERIES A
Total funding: $29.5m
Company benefits
- Medical, dental & vision Insurance
- Flexible vacation
- Arine's 401k or Roth 401k benefit
- Remote
Company HQ
Financial District, San Francisco, CA
Leadership
Yoona Kim
(Co-Founder & CEO)Was Associate Director of Health Economics & Outcomes Research at Gilead Sciences. Also served as Head of Clinical Modeling & Analytics at Proteus Digital Health.
Penjit Moorhead
(Co-Founder & CTO)Worked as a Senior Developer Analyst at Lehman Brothers, and was a Senior Software Developer at Stanford Linear Accelerator Center. Then joined Proteus Digital Health as a Data Scientist.
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