Remote Senior Data Platform Engineer

Experity; Oregon; Hybrid; USD 141,000 - 190,000; Full time

Benefits offered by this job

Medical coverage

Dental/Orthodontia

Vision

Synthetic ownership after 1 year

PTO with milestone increases

Career development programs

Team building events

401(k) with employer match

Job summary

Experity is seeking a senior Data Engineer to lead architecture and hands-on delivery of scalable ETL/ELT pipelines. You will design data models and governance patterns for analytics, AI/ML, and operations.

Expect to mentor engineers, collaborate across teams, and drive decisions on performance, cost, and reliability while shaping the data platform roadmap for a fast-growing healthcare tech company.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or a related technical field.
• 8+ years of experience building and operating production-grade data platforms.
• Expert proficiency in Python and SQL, with strong software design, testing, debugging, and code review practices.
• Deep hands-on experience with Snowflake, including data modeling, query optimization, performance, and cost management.
• Experience architecting CDC, Kafka, Flink, or comparable distributed event and streaming solutions.
• Strong experience with AWS, including S3, Lambda, Glue, Kinesis, or equivalent cloud services.
• Proven experience designing high-volume batch and near-real-time ETL/ELT architectures and reusable analytical data models.
• Experience with orchestration technologies such as Airflow.
• Experience establishing CI/CD, Git-based workflows, automated testing, and Infrastructure as Code practices.
• Strong command of data quality, governance, security, observability, production operations, and reliability engineering.
• Demonstrated ability to lead technical decisions across teams, mentor engineers, and communicate tradeoffs effectively.
• Hands-on, full-stack mindset and willingness to own complex problems end-to-end.

Responsibilities

• Lead the architecture and hands-on delivery of scalable batch and near-real-time ETL/ELT pipelines and data platform services.
• Define robust integration patterns for databases, APIs, applications, CDC/event streams, and external sources across Experity's enterprise data platform.
• Design reusable, governed data models, curated data products, and semantic-ready datasets for analytics, reporting, AI/ML, and operational applications.
• Solve complex transformation and processing challenges using Python, SQL, Snowflake, and distributed data technologies; contribute production-quality code.
• Drive architectural decisions and tradeoffs for scalability, availability, resiliency, performance, maintainability, and cost efficiency.

Skills

Leadership

Mentoring

Cross-functional collaboration

Analytical mindset

Problem solving

Education

Bachelor's or Master's degree in CS/Engineering/IS

Tools

Snowflake

Python

SQL

AWS

Kafka

Flink

Airflow

Docker

Terraform

Job description

Experity is seeking a senior Data Engineer to lead architecture and hands-on delivery of scalable ETL/ELT pipelines. You will design data models and governance patterns for analytics, AI/ML, and operations.

Expect to mentor engineers, collaborate across teams, and drive decisions on performance, cost, and reliability while shaping the data platform roadmap for a fast-growing healthcare tech company.