Data Engineer @ health tech start up

Hatch; Australia; Remote; AUD 130,000 - 180,000; Full time

Job summary

Hatch is seeking a mid-level Data Engineer for Human Health, focusing on building and maintaining data integrations and analytics in a remote-friendly role. You will be instrumental in developing data-driven features and supporting health initiatives affecting chronic diseases. The ideal candidate has experience with Python and SQL, and is eager to contribute to a mission-driven organization aiming to make healthcare accessible.

Qualifications

• Experience in building and operating production data pipelines.
• Experience with data warehouse infrastructure.
• Ability to manage projects and communicate clearly.

Responsibilities

• Build and maintain Near Real-Time data integrations.
• Support product feature teams with data-driven features.
• Build and maintain offline data assets for analytics.

Skills

Python

SQL

Data Pipeline Management

Data Warehouse Infrastructure

Clear Communication

Job description

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

This role is accepting applications on Hatch. Follow the "Apply" link to create a Hatch profile and "Send a Match Request" for this job.

-- 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:

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

Key Responsibilities

• Data Cleaning and Preparation

Key Strengths

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

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Industries

  Public Health and Technology, Information and Media

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