Smarter TechnologiesRemote
Staff Data Engineer
United States
Full-time
3 hours ago
$235,000 - $315,000 USD
H1B Sponsor
Key skills
Data pipeline developmentAWS data servicesPythonInfrastructure-as-CodeData lakehouse ecosystemData modelingSystems thinkingOutcome-drivenPracticalThoughtful contributorCollaborationhands-onSparkAWSTerraformS3IAMGlueAthena
About this role
Smarter Technologies is the automation and insight platform for healthcare efficiency, and they are seeking a Staff Data Engineer to help scale and strengthen their data platform. The role involves developing and maintaining data pipelines, improving observability and data quality, and partnering with various teams to deliver trustworthy data for diverse use cases.
Responsibilities:
- Develop and maintain data pipelines and transformations across the stack. Starting from ingesting transactional data into the data lakehouse to refining data up the medallion data architecture
- Tune performance, storage layout, and cost-efficiency across our data storage and query engines
- Help design and implement new data ingestion patterns and improve platform observability and reliability
- Partner with engineering, product, and operations teams to deliver well-structured, trustworthy data for diverse use cases
- Help establish and evolve best practices for our data infrastructure, from pipeline design to OpenTofu-managed resource provisioning
- Help design and implement a data governance strategy to secure our data lakehouse
Requirements:
- 8-10+ years of experience building and maintaining data pipelines in production environments
- Strong knowledge of the data lakehouse ecosystem, with an emphasis on AWS data services - particularly Glue, S3, Athena/Trino/PrestoDB, and Aurora
- Proficiency in Python, Spark and Athena/Trino/PrestoDB for data transformation and orchestration
- Experience managing infrastructure with OpenTofu/Terraform or other Infrastructure-as-Code tools
- Solid understanding of data modeling, partitioning strategies, schema evolution, and performance tuning
- Comfortable working with cloud-native data pipelines and batch processing (streaming experience is a plus, but not required)
- Systems thinker - you understand the tradeoffs in data architecture and design for long-term stability and clarity
- Outcome-driven - you focus on building useful, maintainable systems that serve real business needs
- Strong collaborator - you're comfortable working across teams and surfacing data requirements early
- Practical and hands-on - able to dive into logs, schemas, and IAM policies when needed
- Thoughtful contributor - committed to improving code quality, developer experience, and documentation across the board