Data Engineer • Senior

Who you are

You have a strong background in software engineering and data engineering, with at least 5 years of experience in building data pipelines and managing data workflows. Your expertise includes data modeling, data warehousing, and designing ETL processes that ensure high-quality data flows. You are comfortable working with healthcare-related data and have a demonstrated interest in applying AI and machine learning to derive insights from complex datasets.

You thrive in collaborative environments, working closely with Data Scientists, Product Managers, and Machine Learning Engineers to create solutions that support advanced analytics. Your forward-thinking mindset drives innovation, and you are always looking for ways to improve data integration and warehousing processes. You understand the importance of data quality and are committed to delivering reliable data solutions that empower teams to make informed decisions.

What you'll do

As a Senior Data Engineer at Tendo, you will be responsible for ingesting, transforming, and warehousing healthcare-related data from various sources. You will develop tools and solutions that facilitate data integration and support the data needs of the organization. Your work will enable Data Engineers and Data Scientists to experiment and train machine learning models, ultimately producing valuable insights for Tendo’s customers.

You will collaborate with cross-functional teams to ensure that data flows are efficient and meet the needs of analytics and machine learning initiatives. Your role will involve designing and implementing data pipelines, optimizing data storage solutions, and ensuring that data is accessible and usable for analysis. You will also play a key role in mentoring junior data engineers and contributing to the overall growth of the data engineering team.

What we offer

At Tendo, we offer a dynamic work environment where you can make a significant impact in the healthcare sector. Our team-driven culture fosters collaboration and innovation, and we are committed to supporting your professional growth. We encourage you to apply even if your experience doesn't match every requirement, as we value diverse backgrounds and perspectives. Join us in transforming the healthcare experience through data-driven solutions.