This is a Data Engineer role with Human Health that is remote friendly, with office space in Sydney.

-- Human Health --

Nearly three-quarters of the global population are affected by chronic disease (WHO), yet most healthcare innovation targets the wealthy - with concierge clinics, luxury wearables, and $1,000+ blood tests out of reach for most.

Human Health was founded by two ex-Canva product leaders, Kate and Georgia to change that - making precision healthcare radically accessible for the 99%, not just biohackers or billionaires. Human helps people living with chronic conditions like ADHD, autoimmune disease, long COVID, anxiety, and rare illnesses track their health, build a full medical record, and get personalised insights - all while contributing to one of the world’s largest living datasets on chronic illness.

Role Seniority - Mid Level · A role for someone with some well-developed knowledge and skills they can bring to the role and team. Typically within 2-5 years of experience.

More about the Data Engineer role with Human Health

What you'll be doing:

Core Responsibilities: You’ll be leading the work in these areas, building in our GCP environment

• Build and maintain Near Real-Time (NRT) analytic event data integrations between our different platforms to support Product and Growth
• Build and maintain NRT customer data fact and feature stores to power near real time personalised decision making in-app and in marketing experiences
• Work embedded within product feature teams to help shape the technical and design trade-offs required to deliver valuable data driven personalised user features through the NRT data assets and services you’re building
• Build and maintain offline data assets for business analytics, health research, and data science model development

Supporting Responsibilities: You may be leading or supporting others in these areas, depending on your experience and interests

• Build and maintain NRT machine learning and AI model scoring pipelines
• Build and maintain Business Intelligence products, infrastructure, and dashboards

Your skills and expertise:

You’ve had experience in most of these areas:

• Building and operating production data pipelines powering software products
• Building and maintaining data warehouse infrastructure and pipelines
• Evaluating and implementing vendor tools for customer data management and communication including CRMs, CDP
• Working within a product team where your goal was building user experiences, not just delivering on pre-determined technical requirements

You’re able to :

• Develop in python and SQL
• Communicate clearly and confidently with technical colleagues and leadership
• Manage projects and roadmaps tightly in a resource constrained environment

What success in your first year looks like:

When you started you took the time to get to know the team, our goals, our direction, and our data engineering needs. Drawing on your experience, you formulated a strategy and roadmap for data engineering, communicating the details, trade-offs and rationale to our technical teams and leadership. The tools and techniques were matched to the nuances of our product and stage, not a cookie cutter approach. You’ve become the glue between our data scientists and back end engineers, keeping us informed and aligned. Because of your work, we’re shipping engaging personalised features at warp speed with ease and confidence. You’ve leant into the joyful chaos of an early stage startup, jumping in and helping out where you can, even if a task isn’t related to the core of your role.

🟢 Please consider applying even if you don't meet 100% of what’s outlined 🟢

Key Responsibilities

• 🔀 Data Pipelines
• 🧩 Data Cleaning and Preparation

Key Strengths

• 👥 Collaboration

Why Human Health is partnering with Hatch on this role: Hatch exists to level the playing field for people as they discover a career that’s right for them. So when you apply you have the chance to show more than just your resume.

A Final Note: This is a role with Human Health not with Hatch