Senior Data Engineer (100% Remote, USA)

Six Feet Up is looking for a Senior Data Engineer with deep experience in designing, building, and maintaining secure, scalable data systems. In this role, you will collaborate with cross-functional teams to transform complex data challenges into reliable production solutions. Your responsibilities will include designing data pipelines, building processing workflows, improving data quality, supporting machine learning initiatives, and helping clients leverage structured, unstructured, time-series, sensor-based, and high-volume data more effectively.

We seek an individual who can provide technical leadership, sound engineering judgment, and strong communication skills to tackle ambiguous data problems. The ideal candidate is comfortable working across data engineering, cloud infrastructure, machine learning support, and production software delivery.

Responsibilities

• Design, build, and maintain robust, scalable data pipelines.
• Develop ETL/ELT workflows for collecting, transforming, validating, and storing data.
• Work with cloud-based data processing and storage systems.
• Implement data validation, quality checks, monitoring, and transformation workflows.
• Process complex datasets, including noisy, high-volume, time-series, sensor, or device-generated data.
• Support machine learning workflows, including data preparation, model training, evaluation, and production integration.
• Collaborate with data scientists, researchers, software engineers, and client stakeholders.
• Translate prototype data workflows into reliable, maintainable production systems.
• Create well-documented, testable, and secure systems suitable for audit or review.
• Clearly communicate technical tradeoffs to both technical and non-technical audiences.

If you are a motivated Senior Data Engineer seeking a challenging and meaningful role, we encourage you to apply.

Required Skills & Experience

• Data pipeline architecture and implementation.
• ETL/ELT orchestration tools such as Airflow, Dagster, or similar platforms.
• Python-based data engineering and data processing tools.
• Cloud-based data infrastructure, storage, and processing.
• Data modeling, schema design, validation, and quality-control practices.
• Experience working with public, proprietary, structured, and unstructured datasets.
• Experience with time-series, sensor, IoT, or other high-volume data sources.
• Supporting machine learning or data science teams with reliable data workflows.
• Building reproducible, testable, and maintainable data systems.
• Version control, automated testing, and collaborative software development practices.

Desirable Skills & Experience

• Machine learning pipelines for classification, prediction, recommendation, or categorization systems.
• MLOps, model evaluation, experiment tracking, and reproducible ML workflows.
• Processing noisy signal data or other data requiring cleaning, filtering, or feature extraction.
• Experience in healthcare, digital health, research, or regulated software environments.
• Knowledge of HIPAA, privacy-preserving data architecture, or secure cloud data processing.
• Experience working with sensitive, clinical, or user-generated data.
• Experience scaling early-stage algorithms into production-ready systems for researchers or domain experts.
• Designing systems that support thousands or more users.

A Plus

• Experience with containers, CI/CD, DevOps practices, or Kubernetes.
• Familiarity with AWS, Google Cloud, Azure, or similar cloud platforms.
• Experience with consumer analytics, dashboards, or data visualization products.
• Experience supporting FDA, SaMD, clinical validation, audit, or regulatory documentation efforts.
• Experience designing secure data workflows for privacy-sensitive applications.

About You

You are a senior engineer who brings structure to ambiguous technical challenges. You ask thoughtful questions, identify risks early, and know how to balance research needs, business goals, engineering quality, and long-term maintainability. You care about data quality, privacy, testing, documentation, and clear communication. You are comfortable designing architecture, writing production code, reviewing data workflows, and collaborating with people from different technical backgrounds. You enjoy helping clients move from ideas and prototypes to secure, scalable, production-ready systems.