Senior Data Engineer

Digis Corp; Arlington (VA); Remote; USD 110,000 - 150,000; Full time

Job summary

A leading company in the medical field is seeking a Senior Data Engineer to join their remote team. This role focuses on developing cutting-edge technology that benefits healthcare practitioners and improves patient outcomes. Ideal candidates should have substantial experience in data engineering, AWS, and Python, and be ready to tackle complex challenges. Attractive remote work environment with growth opportunities.

Benefits

Work on cutting-edge projects

Supportive remote team environment

Qualifications

• 5+ years of experience in Data Engineering.
• 3+ years of experience with Python.
• 2+ years of experience with AWS services.

Responsibilities

• Architect and implement robust, scalable data pipelines.
• Engineer a high-performance data lakehouse on AWS.
• Develop ETL processes to transform raw data into insights.

Skills

Data Engineering

Python

AWS

Data Integrity

ETL Processes

AI Applications

Job description

Digis is a European company with 200 employees. Founded 9 years ago, it has grown from a startup into a reliable partner for its clients. The company combines expertise from product and outsourcing sectors. You will collaborate directly with the client's team and may make business trips.

Digis is looking for an experienced, motivated, and self-organizing Senior Data Engineer to join our remote team and contribute to an impactful project in the medical field, aimed at improving healthcare practices and outcomes.

About the Project:
The mission of the project is to provide a comprehensive range of services necessary to support technology leaders and medical practices on their journey to success. They offer systems and practical recommendations that enable effective measurement of results and identification of key areas for revenue growth — from initial contact with a potential client to long-term patient retention.

Requirements:

• 5+ years of experience in Data Engineering
• 3+ years of experience with Python
• 2+ years of experience with AWS services
• Intermediate or higher level of spoken English
• Architect and implement robust, scalable data pipelines for diverse, high-volume data sources
• Engineer a high-performance data lakehouse on AWS, capable of handling structured and unstructured data
• Develop lightning-fast ETL processes to transform raw data into meaningful insights
• Ensure data integrity and quality by designing monitoring and validation frameworks
• Optimize storage and retrieval mechanisms to power real-time AI applications
• Support AI-driven decision-making by building data crawlers and integrations that enhance our RAG-based intelligence systems

Why Join Us?

• Work on an cutting-edge project in the medical field that directly benefits healthcare providers and patients
• Tackle complex and intellectually rewarding tasks that push the boundaries of innovation
• Be part of a dynamic and supportive remote team with opportunities for growth and impact

If you meet the requirements above, don’t hesitate to apply and reach out for more details. We look forward to your application!