Contractor Technical Operations Engineer

We’re seeking a Technical Operations Engineer who will take ownership of ensuring the stability, scalability, and reliability of complex data pipelines and infrastructure. This role is highly autonomous and hands-on.

• Operational Reliability: Own and ensure the health, stability, and performance of AI-driven data platforms, pipelines, and infrastructure.
• Pipeline Optimization: Monitor, troubleshoot, and optimize complex ETL/ELT workflows, ensuring data quality and availability.
• Automation: Develop Python-based scripts and tools to automate deployments, workflows, and system maintenance.
• Advanced Support: Collaborate with Engineering, Product, and Customer Success to resolve complex operational issues and ensure seamless data delivery.
• Documentation: Build and maintain detailed operational runbooks, incident playbooks, and system guides.
• Collaboration: Work in an Agile environment with engineers, product managers, and data scientists to operationalize analytics for Life Sciences & Healthcare datasets.

• Bachelors or Masters in Computer Science, Engineering, or related field.
• 4+ years in Technical Operations, DevOps, or SRE with focus on data platforms.
• Proven experience managing enterprise-grade data services (Data Pipelines, Data Lakes, Warehouses).
• Expert Python skills for automation and operational tooling.
• Strong cloud experience (AWS or GCP) including compute, storage, databases, containerization, orchestration.
• SQL proficiency with BigQuery, Redshift, or Snowflake.
• Deep knowledge of ETL/ELT best practices, data governance, and compliance.
• Ability to diagnose complex distributed systems issues with strong RCA skills.
• Excellent communication (verbal & written) and experience creating technical documentation.
• Collaborative, proactive mindset with strong ownership.
• Ability to work with stakeholders in EST timezone.
• Experience in regulated industries (healthcare, finance) and compliance (HIPAA).

• Experience in Life Sciences / Healthcare data domain.
• Knowledge of MLOps and deploying AI/ML models.
• Familiarity with data visualization tools (Looker, PowerBI, etc.).
• Experience with Elasticsearch or search technologies.
• Understanding of ML frameworks (TensorFlow, PyTorch, Scikit-learn, MLFlow).

What is the last date for applying to the job?

Which countries are accepted for this remote job?