Staff Data Engineer (Remote - US) - job 2 of 2

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

One of our companies is currently looking for a Staff Data Engineer in the United States.

This role offers a unique opportunity to shape data infrastructure at the heart of an innovative AI-driven healthcare product. As Staff Data Engineer, you will design and manage scalable, high-performance data systems powering next-generation diagnostic technologies. You’ll be responsible for building and maintaining a robust cloud-based infrastructure to ingest, transform, and deliver large volumes of complex sensor and medical data. Working cross-functionally with scientists, machine learning engineers, and medical professionals, your work will directly enable advanced model development and contribute to healthcare breakthroughs.

Accountabilities:

• Design and maintain scalable, reliable data pipelines using AWS to support high-impact medical AI research.
• Build and automate data ingestion and transformation workflows that ensure accuracy and reproducibility.
• Oversee core data infrastructure for batch processing and model training at scale.
• Develop robust systems for managing large multichannel datasets with attention to quality, cost, and compliance.
• Create automated reporting and ML workflows to support continuous learning and model iteration.
• Collaborate with internal teams to align data solutions with scientific and operational needs.
• Ensure adherence to data privacy and security standards, especially in healthcare contexts.

• Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related technical field.
• 8+ years of hands-on experience as a Data Engineer, with strong exposure to data operations.
• Proven expertise in AWS services, including S3, and working with large-scale cloud-based datasets.
• Advanced skills in Python, Spark, Hadoop, or Scala; strong SQL proficiency required.
• Experience designing automated, scalable data pipelines and batch processing systems.
• Familiarity with MLOps tools and time-series or sensor data is a plus.
• Strong ownership mindset with the ability to operate autonomously in a fast-paced environment.
• Comfortable working collaboratively with multidisciplinary teams and stakeholders.

• Competitive salary and stock options
• Comprehensive health benefits including medical, dental, and vision coverage
• 401(k) plan and financial wellness resources
• Generous PTO including summer and winter breaks
• Family planning and fertility support
• Remote flexibility and a mission-driven team culture
• Opportunities for continuous learning and career growth

Jobgether hiring process disclaimer

This job is posted on behalf of one of our partner companies. If you choose to apply, your application will go through our AI-powered 3-step screening process, where we automatically select the 5 best candidates.

Our AI thoroughly analyzes every line of your CV and LinkedIn profile to assess your fit for the role, evaluating each experience in detail. When needed, our team may also conduct a manual review to ensure only the most relevant candidates are considered.

Our process is fair, unbiased, and based solely on qualifications and relevance to the job. Only the best-matching candidates will be selected for the next round.

If you are among the top 5 candidates, you will be notified within 7 days.
If you do not receive feedback after 7 days, it means you were not selected. However, if you wish, we may consider your profile for other similar opportunities that better match your experience.

Thank you for your interest!

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