Senior Data Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Design, construct, and sustain scalable systems for data ingestion, transformation, and storage, with a focus on testing and observability.

• Develop frameworks, tools, and automation that safely enhance development velocity.

• Create foundational end-to-end AI/ML workflows that encompass source ingestion and preparation, training and tuning, experimentation and productionization, as well as integration with downstream systems.

• Facilitate iterative model development and production operations, ensuring observability in aspects such as accuracy, drift, bias, fairness, and reproducibility.

• Collaborate with data scientists, analysts, and product managers to ensure dependable data pipelines and scalable analytics.

• Establish new architectures, best practices, and patterns for other engineers to follow.

• Engage in continuous improvement, knowledge sharing, and mentoring of peer engineers.

• Utilize AI tools in daily operations to enhance efficiency, quality, and decision-making.

⛳️ Requirements

• Expertise in SQL and Python, along with a strong understanding of modern data engineering frameworks, infrastructure, and tools.

• Proficiency in data ops best practices, monitoring, pipeline automation, and CI/CD.

• Familiarity with GCP or AWS data engineering tools and big data frameworks.

• Experience in data modeling and medallion architecture.

• Comfort with using AI tools in everyday workflows.

• A curious mindset and willingness to experiment with new tools and methodologies.

• Bachelor’s degree (or equivalent) in Computer Science, Data Science, Statistics, Engineering, or a related field.

• Over 5 years of experience in data engineering, platform engineering, or ML engineering.

• Background in working with major cloud data platforms and tools.

• Must have eligibility to work in the United States without sponsorship now or in the future.

• Preferred: experience in healthcare, behavioral health, EHR systems, and/or regulated industries.

• Preferred: specific expertise with AWS/GCP, dbt, Airflow/Airbyte, and Redshift/BigQuery.

• Nice to have: foundational end-to-end AI/ML workflows experience.

• Nice to have: knowledge of Spark, TensorFlow, PyTorch, or scikit-learn.

• Nice to have: experience in building production APIs and services, including MCP servers.

🏝️ Benefits

• Equity program via Stock Options.

• $300 equipment reimbursement for home office setup for new full-time employees.

• Monthly reimbursement of up to $75 for internet and cell phone expenses for full-time employees.

• One HDHP and two PPO medical plan options.

• Dental and Vision coverage.

• Company-sponsored One Medical membership.

• 401(k) with traditional and Roth options.

• Generous time off policy.

• Up to 15 paid company holidays.

• Accrued sick time.

• Company-paid Life, AD&D, and Disability insurance.

• Optional Pet, Legal, and Worksite plans, including Critical Illness, Hospital Indemnity, and Accident.

• Paid parental bonding leave after 6 months for full-time employees, increasing with tenure.

• Professional development reimbursement for role-related growth opportunities.