Imagine Pediatrics
51 - 200 employees
🧘 Wellness
👥 B2C
Healthcare • Wellness • B2C
Imagine Pediatrics is a healthcare provider focused on delivering specialized pediatric care. The company is dedicated to improving children's health through personalized medical attention, preventive care, and effective treatment options. With a team of experienced professionals, Imagine Pediatrics aims to create a supportive and welcoming environment for children and their families, emphasizing the importance of a healthy start for all individuals.
Staff Data Engineer
🕒 April 22
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Imagine Pediatrics
51 - 200 employees
🧘 Wellness
👥 B2C
Healthcare • Wellness • B2C
Imagine Pediatrics is a healthcare provider focused on delivering specialized pediatric care. The company is dedicated to improving children's health through personalized medical attention, preventive care, and effective treatment options. With a team of experienced professionals, Imagine Pediatrics aims to create a supportive and welcoming environment for children and their families, emphasizing the importance of a healthy start for all individuals.
📋 Description
• As a Staff Data Engineer at Imagine Pediatrics, you will be the first dedicated Data Engineer on a hybrid team with Analytics Engineers, responsible for defining how data moves through our platform and owning the data pipelines that power clinical analytics, operational reporting, and external integrations. • You will ensure that data ingestion and integration decisions are made with a clear understanding of downstream analytical usage, including how data freshness, grain, and structure impact downstream processes and systems. • You will partner closely with Analytics Engineers, Product Engineers and Platform Engineers to deliver a platform built for a high-growth, mission-driven healthcare organization. • Design, build, and maintain scalable ELT pipelines that ingest data from clinical systems, APIs, and third-party integrations. • Architect and manage event-driven data pipelines in AWS — including cross-account configurations and dead-letter queue handling. • Write and maintain infrastructure-as-code to deploy and manage data ingestion workloads, primarily extending existing modules and patterns. • Orchestrate pipeline execution and monitoring using Dagster, ensuring observability and reliability across all workflows. • Implement data quality checks, alerting, and lineage tracking across the pipeline. • Identify and eliminate systemic failure modes in pipelines, improving reliability through long-term fixes rather than repeated incident remediation. • Partner with Analytics Engineers to ensure upstream data supports correct and consistent downstream models. • Set technical direction for data architecture and mentor other engineers.
🎯 Requirements
• 7–10+ years of data engineering or platform engineering experience, including at least 2+ years in a senior or staff-level role owning production data systems. • Strong experience designing data pipelines using Python and SQL. • Strong experience with AWS services including Lambda, SQS, SNS, and S3. • Strong experience building event-driven and API-based ingestion systems (e.g., webhooks, asynchronous processing, or CDC patterns). • Experience with data orchestration tools such as Dagster (or similar). • Experience working with infrastructure-as-code (Terraform), primarily extending and adapting existing modules and patterns. • Experience with cloud data warehouses, preferably Snowflake, including performance-aware SQL development. • Proficiency in at least one scripting language beyond SQL and Python (JavaScript, TypeScript, or Go) for automation, tooling, or serverless functions. • Demonstrated use of modern software engineering practices including version control, CI/CD, testing, and code review. • Proven ability to troubleshoot complex data and infrastructure issues across multiple systems and clearly communicate findings to both technical and non-technical stakeholders. • Proven ability to reason about downstream analytical impact of data pipeline design, including data freshness, grain, and transformation behavior. • Experience working closely with analytics engineering, data modeling, or similar downstream consumers of data.
🏖️ Benefits
• Competitive medical, dental, and vision insurance • Healthcare and Dependent Care FSA; Company-funded HSA • 401(k) with 4% match, vested 100% from day one • Employer-paid short and long-term disability • Life insurance at 1x annual salary • 20 days PTO + 10 Company Holidays & 2 Floating Holidays • Paid new parent leave • Additional benefits to be detailed in offer
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