SENIOR DATA ENGINEER

Senior Data Engineer – BrightInsight

Job Description
At BrightInsight, we’re driving the future of healthcare technology. We’re looking for an innovative and hands-on Senior Data Engineer to join our team and play a key role in building transformative data solutions for the BrightInsight platform. If you’re passionate about cutting-edge technologies and want to make a meaningful impact on healthcare, this is the place for you.

At BrightInsight, you’ll immerse yourself in the latest advancements in data engineering and healthcare, working with technologies like Gen AI to revolutionize data management. You’ll have the opportunity to learn from industry leaders, develop your skills, and grow alongside a dynamic and forward-thinking team.

Join us and be part of something bigger. You’ll work on data solutions that power connected medical devices, improving patient outcomes and shaping the future of global healthcare. Your contributions will be instrumental in developing next-gen healthcare solutions that truly make a difference.

We believe that great ideas come from all corners. As part of our inclusive and collaborative team, your insights will drive innovation as you work closely with product managers, data scientists, and platform engineers. At BrightInsight, your voice matters, and your work will have a lasting impact.

Here’s what you’ll do at BrightInsight:

• Collaborate with data leads and platform engineering teams (frontend, backend, and DevOps) to build data solutions that support cutting-edge healthcare products.
• Develop robust batch and real-time data pipelines using advanced frameworks on Google Cloud Platform.
• Leverage Python for data processing, including transfer, cleaning, normalization, transformation, aggregation, and visualization.
• Design and implement scalable data sets, tables, and SQL queries to support advanced analytics and machine learning models.
• Ensure high performance, reliability, and scalability across data pipelines serving multiple customers, optimizing for efficiency at scale.
• Uphold the highest standards of data security and compliance, ensuring continuous adherence to HIPAA, GDPR, and other regulatory frameworks.

What you’ll need to thrive in this role:

• Bachelor’s degree in Computer Science or a related field, or equivalent practical experience.
• 5+ years of experience in data engineering, with a focus on data warehouse technologies.
• Expertise in Python and SQL, with the ability to build efficient and scalable solutions.
• Proven experience with cloud platforms such as AWS or GCP.
• Familiarity with databases (RDBMS and NoSQL) and data warehouse tools like BigQuery, Databricks, Snowflake, and Synapse.
• Proficiency with data pipeline tools such as Airflow, Fivetran, AWS Glue, or Talend.
• Knowledge of dashboarding and visualization tools like Tableau, Power BI, Looker, or similar.
• An understanding of Gen AI, Large Language Models (Gemini, Open AI), and their role in data engineering.
• Experience with the Software Development Life Cycle (SDLC), DevOps, and Agile methodologies.