Data Engineer

As a Data Engineer, you have a unique opportunity to be part of a fast-growing, entrepreneurial team where you can have an outsized impact on the healthcare journey of our members. Beyond building ETL pipelines and maintaining databases, you will play a key role in building digital infrastructure to help make healthcare more accessible, specifically in developing and maintaining data-intensive technology solutions that serve a variety of external and internal stakeholders. Collaborating with cross-functional teams, you will gain a deep understanding of how HMOs work and use that context to scale our services to small and medium businesses who are the backbone of the Philippines economy.

Location

• This is a hybrid role based in Metro Manila, Philippines, subject to change based on business needs. You must be able to commute to our office in the Ortigas area at least once per week.

Responsibilities

• Build and maintain robust data systems for collecting, transforming, and storing complex healthcare and financial data. This may include writing short API call scripts, enhancing and maintaining data warehousing systems, and building end to end data collection pipelines.
• Implement automated API-based workflows that increase operational efficiencies for Hive’s stakeholders (patients, healthcare providers, employers, and internal operation teams) for implementation of single customer view and utilization management
• Communicate clearly and concisely technical information to non-technical stakeholders
• Perform query-based data exploration in SQL or Python to catalog data, maintain data dictionary, and move company towards self-serve model for dashboards.

Qualifications

• Two years minimum experience as developer. At least 2 years of professional full time experience as software engineer, preferably in technology company
• Proficient in SQL and at least one other language, preferably Python or modern Javascript (e.g. ES2019). Bonus points if you know Typescript and working with bundlers like Vite.
• Solid grasp of data and software engineering fundamentals. You appreciate code that’s “fast enough” and you know how to handle data that doesn’t fit in a single machine’s RAM. You know the difference between OLAP and OLTP and when each is applicable
• Strong written communication skills. We work in a hybrid environment and async communications and organized documentation is critical.
• Quick learner. You are excited to learn new skills and to take on the challenge of working with unfamiliar healthcare data.
• Initiative and strong problem-solving skills. There will be days when you need to identify and solve problems that haven’t been defined yet in a structured manner.
• High attention to detail and quality control. You write code that is highly readable and follows engineering best practices. You also have working knowledge of distributed version control systems and UNIX-like operating systems, e.g. Git and Ubuntu.

Bonus points if you…

• Have some familiarity with the Azure/Microsoft ecosystem
• Have an interest in building useful products out of LLMs
• Have domain-specific knowledge in healthcare (e.g., working with medical data) and implementing customer service workflows

Benefits & Perks of Joining Hive

• Be part of a founding team transforming healthcare in the Philippines and beyond
• Comprehensive healthcare benefits (we practice what we preach!)
• Hybrid work flexibility and paid time off
• Career development and mentorship
• Access to global tech and advisory support from Harvard, Stanford, and more

Our interview process has 3 steps:

1) Initial Introduction Meeting

You will meet with a Hive Health team lead for an initial intro call. Purpose is for you to learn more about Hive and for us to understand your background and interest in joining our team.

2) Tech Screen

We'll share a technical assessment with the purpose of understanding your problem solving approach. More details will be shared during the interview process.

3) Behavioral interview

You will meet with the Hive Health cofounders to discuss your career goals, experiences, and fit for the role.