Senior Analytics Engineer

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

📋 Description

• Convert intricate healthcare business requirements into scalable, governed, and analytics-ready data solutions.

• Collaborate with clinical, operational, and business teams to grasp workflows and translate their needs into data models, curated datasets, standardized metrics, and AI-ready data assets.

• Break down complex data and AI demands and design maintainable, production-quality data and feature pipelines.

• Design, construct, and enhance data transformation pipelines and analytics models utilizing cloud platforms like Azure Data Factory, Databricks, and Microsoft Fabric.

• Create and uphold feature engineering pipelines for machine learning applications.

• Develop reusable data marts and feature stores to support BI and AI/ML workloads.

• Collaborate with data scientists and ML engineers to prepare datasets that are ready for modeling and ensure alignment of training and inference data.

• Integrate AI/ML outputs into clinical and operational processes.

• Develop and refine semantic models, curated datasets, and dashboards using Databricks, Power BI, and Tableau.

• Work with claims, clinical, and operational healthcare datasets.

• Ingest, transform, and standardize healthcare data in accordance with ICD-10, CPT, and NDC standards.

• Execute other job-related tasks as directed.

⛳️ Requirements

• Bachelor’s degree in information technology, Computer Science, or a related field, or equivalent experience.

• Over 5 years of experience in analytics engineering, data engineering, or related data-centric roles within the healthcare sector.

• Extensive experience with claims and clinical datasets in payer and/or provider settings.

• Proven ability to design and construct scalable data models, curated data marts, and semantic layers.

• Comprehensive understanding of healthcare data standards and vocabularies, including ICD-10, CPT, and SNOMED.

• Experience with cloud data platforms, preferably Azure; AWS or GCP are acceptable alternatives.

• Familiarity with data lakes/lakehouses, distributed processing tools like Databricks/Spark, and orchestration technologies.

• Strong command of SQL.

• Proficient in at least one programming language such as Python or Scala.

• Knowledge of feature engineering and preparation of ML-ready datasets.

• Ability to translate business challenges into structured, scalable data solutions.

• Experience in a healthcare services, payer, or provider organization.

• Excellent communication skills with the capability to convey complex technical concepts in a business-friendly manner.

• Hands-on experience with Databricks is preferred.

• Familiarity with CI/CD, infrastructure-as-code, or automation of data platforms is preferred.

• Previous experience with healthcare integration engines like Rhapsody or Mirth is preferred.

• Prior experience with data governance, HIPAA compliance, and handling of PHI is preferred.

🏝️ Benefits

• Health, Dental, Vision, Disability & Life Insurance.

• 401K Retirement Plan (with company match).

• Tuition, Professional License and Certification Reimbursement.

• Paid Time Off, Holidays, and Volunteer Time.

• Paid Orientation and Training.