Role : Senior Data Engineering & Platform Engineer
Location : Remote
Rate : $55/hr on C2C (own corp)/1099 (Max)
- Should have dbt (Data Build Tool) project experience
- Hands-on experience with dbt projects, including dbt models, SQL transformations, data quality testing, and production deployments.
- We’re seeking a Senior Software Engineer, Data Platform to join our Data Platform team and take ownership of designing and delivering large-scale, reliable, and governed data pipelines that power analytics, operations, and clinical intelligence.
- This role is ideal for an engineer who thrives on solving complex data challenges, mentoring others, and raising engineering standards while contributing to scalable and sustainable platform growth.
- As a Senior Software Engineer, Data Platform, you’ll operate across the end-to-end data lifecycle—from ingestion to transformation to integration—driving solutions that align with architectural best practices, governance needs, and business outcomes.
- You’ll partner closely with analytics engineers, architects, and product stakeholders to ensure that data products are performant, compliant, and trustworthy.
What you will do:
● Lead the design and implementation of complex data pipelines and infrastructure across multiple domains
● Mentor junior engineers, sharing expertise and raising team-wide engineering standards
● Implement and enforce data quality, schema validation, and observability practices to ensure trustworthy outputs
● Contribute to architecture discussions and tool evaluation, helping to shape platform scalability and governance alignment
● Write clean, maintainable, and testable code in Python and SQL, following best practices in version control, CI/CD, and documentation
● Optimize and monitor production workflows using tools such as Airflow, dbt, Athena, EMR, Kafka, and Iceberg/Parquet
Mike Smith