We are looking for an experienced Data Engineer who thrives in a fast-paced environment and can work independently while collaborating with multiple stakeholders. The ideal candidate will have a strong background in writing ETLs, data pipelines, and data modeling, along with the ability to understand and align data solutions with business needs.

• Design, develop, and maintain ETL processes and data pipelines to collect, transform, and store structured and unstructured data.
• Build and optimize data models to support analytics and business intelligence needs.
• Work closely with cross-functional stakeholders (analysts, engineers, product managers, business teams) to translate business requirements into scalable data solutions.
• Ensure data integrity, quality, and consistency across various sources and pipelines.
• Monitor, troubleshoot, and improve performance and reliability of data workflows.
• Implement best practices for data governance, security, and compliance.
• Take ownership and work independently while effectively collaborating with multiple stakeholders across teams.
  

• 5+ years of experience in data engineering, including hands-on experience with ETLs, data pipelines, and data modeling.
• Strong proficiency in SQL and experience working with relational and non-relational databases.
• Experience with cloud platforms, preferably AWS.
• Familiarity with Amazon Athena is an advantage.
• Experience with workflow orchestration tools, particularly Apache Airflow, is an advantage.
• Experience with Fivetran or other data integration tools is an advantage.
• Proficiency in programming languages such as Python for data processing.
• Strong communication skills to engage effectively with multiple stakeholders.
• Self-driven with the ability to work independently and manage multiple priorities in a fast-paced environment.
  

• Experience with big data technologies (e.g., Spark, Hadoop).
• Knowledge of streaming data processing (Kafka, Kinesis, etc.).
• Exposure to data warehousing solutions such as Redshift, Snowflake, or BigQuery.
• Experience working with business intelligence tools (Looker, Tableau, Power BI).
  

• Work on impactful, large-scale data engineering projects.
• Be part of a collaborative, data-driven team.
• Opportunities for career growth and professional development.
• Competitive salary and benefits package.
• Contribute to cutting-edge healthcare technology that enhances patient outcomes.



If you're passionate about building scalable data solutions, enjoy working with multiple stakeholders, and thrive in an independent, fast-paced environment, we’d love to hear from you!

Apply now and join our team! 🚀