Staff Data Engineer, Data Lakehouse

Smarter Technologies is the automation and insight platform for healthcare efficiency. As a leading AI-powered revenue cycle management (RCM) platform, we combine proprietary agentic agents, human-in-the-loop AI agents, clinical ontology, and global financial and administrative services. Our comprehensive platform empowers healthcare organizations to automate the entirety of their administrative and financial workflows—driving operational optimization, reducing costs, and enabling better patient experiences.

Staff Data Engineer

Role

We're looking for Staff Data Engineers to help scale and strengthen our data platform.

Our data stack today consists of Aurora RDS, AWS Glue, Apache Iceberg, S3 (Parquet), Spark and Athena - supporting a range of use cases from operational reporting to downstream services. We’re looking to grow the team with engineers who can help improve performance, increase reliability, and expand the platform's capabilities as our data volume and complexity continue to grow.

You’ll work closely with other engineers to evolve our existing pipelines, improve observability and data quality, and enable faster, more flexible access to data across the company. The platform is deployed on AWS using OpenTofu, and we’re looking for engineers who bring strong cloud infrastructure fundamentals alongside deep experience in data engineering.

**This role is fully remote within the US**

What You’ll Do

• 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.

What You Bring

• 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)

Nice To Haves

• 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

Our Tech Stack

• Aurora RDS
• AWS Glue
• Apache Iceberg
• S3 (Parquet)
• Spark
• Athena