Staff Data Engineer

Who We Are Imagine Pediatrics is a tech enabled, pediatrician led medical group reimagining care for children with special health care needs. We deliver 24/7 virtual first and in home medical, behavioral, and social care, working alongside families, providers, and health plans to break down barriers to quality care. We do not replace existing care teams; we enhance them, providing an extra layer of support with compassion, creativity, and an unwavering commitment to children with medical complexity. What You’ll Do 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. This role requires strong technical depth in data engineering, comfort operating in ambiguous problem spaces, and the ability to influence across engineering and product teams. Design, build, and maintain scalable ELT pipelines that ingest data from clinical systems, APIs, and third-party integrations utilizing webhook-based, API-based, and CDC (change data capture) approaches. 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. What You Bring & How You Qualify You are driven by curiosity and committed to reimagining pediatric healthcare — creating a world where every child with complex medical conditions gets the care and support they deserve. You thrive in a fast-paced startup environment and bring both engineering depth and a collaborative mindset. You enjoy owning systems end-to-end, thinking in systems, not just pipelines, and are comfortable working across infrastructure, data movement, and analytics workflows. You are proactive, collaborative, and not afraid to push back on unclear assumptions. You communicate tradeoffs clearly and help teams make better technical decisions. You will need Required 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. P referred Experience designing or managing IAM policies and least-privilege access models across data platform services. Experience with dbt or modern analytics engineering workflows. Experience working with healthcare data, FHIR resources, or clinical systems Familiarity with HIPAA compliance and handling of PHI in cloud environments. Experience with high-volume ingestion systems including webhook-based tools (e.g., Hevo, Fivetran, or similar). Experience driving the adoption of AI tools to improve engineering productivity. Exposure to real-world evidence (RWE), health economics and outcomes research (HEOR), or similar evidence-generation programs. What We Offer (Benefits + Perks) The target base salary for this position starts at $180-200k in addition to competitive company benefits package and eligibility to participate in an employee equity purchase program (as applicable). When determining compensation, we analyze and carefully consider several factors including job-related knowledge, skills and experience. These considerations may cause your compensation to vary. We provide these additional benefits and perks: 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 What We Live By We’re guided by our five core values: Our Values: Children First. We put the best interests of children above all. We know that the right decision is always the one that creates more safe days at home for the children we serve today and in the future. Earn Trust. We listen first, speak second. We build lasting relationships by creating shared understanding and consistently following through on our commitments. Innovate Today. We believe that small improvements lead to big impact. We stay curious by asking questions and leveraging new ideas to learn and scale. Embrace Humanity. We lead with empathy and authenticity, presuming competence and good intentions. When we stumble, we use the opportunity to grow and understand how we can improve. One Team, Diverse Perspectives. We actively seek a range of viewpoints to achieve better outcomes. Even when we see things differently, we stay aligned on our shared mission and support one another to move forward — together. We Value Diversity, Equity, Inclusion and Belonging We believe that creating a world where every child with complex medical conditions gets the care and support, they deserve requires a diverse team with diverse perspectives. We're proud to be an equal opportunity employer. People seeking employment at Imagine Pediatrics are considered without regard to race, color, religion, sex, gender, gender identity, gender expression, sexual orientation, marital or veteran status, age, national origin, ancestry, citizenship, physical or mental disability, medical condition, genetic information, or characteristics (or those of a family member), pregnancy or other status protected by applicable law.

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