Senior Data Engineer - Health Care
LatAm
Truelogic
Truelogic Software offers premium nearshore software development services to American companies. Find the perfect solution for your company today! +1 (786) 708 4447At Truelogic, we are a leading provider of nearshore staff augmentation services headquartered in New York. For over two decades, we’ve been delivering top-tier technology solutions to companies of all sizes, from innovative startups to industry leaders, helping them achieve their digital transformation goals.
Our team of 600+ highly skilled tech professionals, based in Latin America, drives digital disruption by partnering with U.S. companies on their most impactful projects. Whether collaborating with Fortune 500 giants or scaling startups, we deliver results that make a difference.
By applying for this position, you’re taking the first step in joining a dynamic team that values your expertise and aspirations. We aim to align your skills with opportunities that foster exceptional career growth and success while contributing to transformative projects that shape the future.
Our ClientWe’re creating a new standard of care.
This health care company specializes in cardiometabolic care —a first-of-its-kind, whole-body approach to preventing and treating obesity, diabetes, high blood pressure, and high cholesterol, and helps with weight management. We offer custom care plans, prescription medications, and expert guidance to help our members live healthier every day.
It was founded in 2021 by the team behind mySugr (acquired by Roche in 2017) and has brought together a team of leaders from across cardiometabolic healthcare, along with the backing of leading investors like Cigna Ventures, 7Wire Ventures, and Founders Fund.
Job Summary
Foundational role embedded within our growing US-based tech and AI team. As the inaugural data hire, you’ll architect the systems, pipelines, and data culture that will power our scale. This is a rare opportunity to take full ownership from day one, influence the future of our data stack, and grow alongside a mission-driven, high-impact team.
The Data Engineer is a multifaceted role that bridges the gap between robust data infrastructure and high-performance product development. You’ll architect scalable data pipelines and maintain our cloud-based data systems, while also contributing to the operational backend codebase that powers our healthcare platform. In this role, you will ensure that data is available to make meaningful business decisions and fulfill business reporting needs. You ensure a full data lifecycle ranging from collection, cleaning, maintenance, usage, and disposal. You work with other teams (business, finance, clinical) to understand their data needs and make information available to them.
Responsibilities
Design & Build Data Pipelines: Architect, develop, and maintain scalable data pipelines and infrastructure using AWS S3, MySQL, and AWS Glue, to enable seamless data ingestion, transformation, and storage.
Experience maintaining dynamic dashboards and visualizations using tools like Tableau, Looker, and Excel
Support backend data flows and product logic integration (Optional/Bonus): Contribute to backend systems development using Java (Spring Boot) or other frameworks
Collaborate Across Teams: Partner closely with Data Analysts and product developers to define data models, refine data workflows, and enhance our overall codebase.
Optimize & Automate: Implement best practices for ETL processes and backend development, ensuring system performance, reliability, and data integrity.
Innovate Continuously: Stay abreast of emerging technologies and trends in both data engineering and backend development to drive continuous improvement and innovation across our platform.
Support backend data flows and product logic integration
Serve as a key data engineering resource for tier 2 support requests and system improvements
Communicate with stakeholders in the U.S. and Austria (occasional early-morning meetings due to time zone differences
Qualifications and Job Requirements
Experience: A minimum of 5 years of hands-on experience in data engineering—experience with backend technologies is a significant plus.
Strong proficiency with AWS S3, MySQL, and AWS Glue, as well as other relevant technologies, for building and optimizing data pipelines.
As a plus: solid experience with backend development frameworks (Java/Spring Boot or others) and a good grasp of backend architectures
Proficient in Python and/or other scripting languages used for data manipulation.
A product-minded approach: you think about the “why” behind the data.
What We Offer
100% Remote Work: Enjoy the freedom to work from the location that helps you thrive. All it takes is a laptop and a reliable internet connection.
Highly Competitive USD Pay: Earn an excellent, market-leading compensation in USD that goes beyond typical market offerings.
Paid Time Off: We value your well-being. Our paid time off policies ensure you have the chance to unwind and recharge when needed.
Work with Autonomy: Enjoy the freedom to manage your time as long as the work gets done. Focus on results, not the clock.
Work with Top American Companies: Grow your expertise working on innovative, high-impact projects with Industry-Leading U.S. Companies.
Why You’ll Like Working Here
A Culture That Values You: We prioritize well-being and work-life balance, offering engagement activities and fostering dynamic teams to ensure you thrive both personally and professionally.
Diverse, Global Network: Connect with over 600 professionals in 25+ countries, expand your network, and collaborate with a multicultural team from Latin America.
Team Up with Skilled Professionals: Join forces with senior talent. All of our team members are seasoned experts, ensuring you're working with the best in your field.
Apply now!
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture AWS AWS Glue Data pipelines Engineering ETL Excel Finance Java Looker MySQL Pipelines Python Tableau
Perks/benefits: Career development Competitive pay Gear Startup environment Team events
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