At a Glance
- Tasks: Build and maintain data pipelines to support innovative health tech solutions.
- Company: Join a mission-driven health tech startup focused on accessible healthcare for all.
- Benefits: Remote-friendly work, competitive salary, and opportunities for professional growth.
- Other info: Dynamic startup environment with a focus on personal and professional development.
- Why this job: Make a real difference in healthcare by working with cutting-edge technology.
- Qualifications: Experience in data engineering, Python, SQL, and collaboration within product teams.
The predicted salary is between 130000 - 180000 $ per year.
Join to apply for the Data Engineer role at Human Health, a health tech start-up 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 was founded by two ex-Canva product leaders, Kate and Georgia, to make 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.
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.
Core Responsibilities:
- 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:
- Build and maintain NRT machine learning and AI model scoring pipelines.
- Build and maintain Business Intelligence products, infrastructure, and dashboards.
Your skills and expertise:
- Experience in 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.
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: Mid-Senior level
Employment type: Full-time
Job function: Public Health and Technology, Information and Media
Data Engineer employer: Hatch
Mercor is an exceptional employer that values innovation and expertise in the accounting field, offering a fully remote work environment that promotes flexibility and work-life balance. With a strong focus on professional development, employees have access to continuous learning opportunities and the chance to tackle complex challenges in financial reporting and auditing. The collaborative culture encourages creativity and teamwork, making it an ideal place for those looking to make a meaningful impact in the industry.
