Remote Data Engineer - Healthcare Focus
About the Role
We are seeking a talented Remote Data Engineer to join our dynamic team at Trella Health. In this role, you will leverage your expertise in data engineering to support our healthcare analytics initiatives. As a Remote Data Engineer, you will play a crucial role in transforming data into actionable insights that drive healthcare improvements.
What You'll Do
- Design and implement robust data pipelines using Apache Spark and SQL to process large datasets efficiently.
- Collaborate with data scientists and healthcare professionals to understand data requirements and deliver high-quality data solutions.
- Ensure data governance and compliance with healthcare regulations while managing data integrity and security.
- Utilize Azure and cloud computing technologies to optimize data storage and retrieval processes.
- Participate in data modeling and warehousing projects to enhance data accessibility and usability.
Requirements
- 3+ years of experience as a Data Engineer or in a similar role.
- Proficiency in Python, SQL, and Apache Spark.
- Experience with data modeling, ETL processes, and data warehousing.
- Familiarity with healthcare domain knowledge and data governance practices.
- Strong analytical skills and the ability to work collaboratively in a team environment.
Nice to Have
- Experience with PySpark and Databricks.
- Knowledge of Machine Learning concepts and model development.
- Familiarity with ClickHouse and other data exploration tools.
What We Offer
- Health, Dental, Vision & Voluntary Benefits.
- Competitive Salary & Bonus Plans.
- 401k Retirement Savings with company match.
- Flexible PTO & 10 Paid Holidays.
- Flexible Work Hours to accommodate your lifestyle.
- Equity Shares to share in our success.
- Marketplace for discounted retail and entertainment.
This Remote Data Engineer position at Trella Health offers a unique opportunity to work on impactful healthcare analytics projects. Enjoy flexible hours and competitive compensation.
Who Will Succeed Here
Proficient in Python and SQL with a strong ability to design and optimize ETL processes, ensuring efficient data flow and transformation, particularly in a healthcare context.
Self-motivated and disciplined remote worker, able to manage time effectively and prioritize tasks independently, while ensuring high-quality deliverables in a fast-paced environment.
Experience with Azure cloud services and Apache Spark, demonstrating a proactive approach to implementing data governance and modeling practices that comply with healthcare regulations.
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