Data Integration Engineer building resilient API, webhook, and data pipelines for SafelyYou’s AI-powered senior-care platform. Supporting partner integrations, backfills, monitoring, and technical documentation.
Responsibilities
Design, build, and operate integration pipelines ingesting data from and pushing data to third-party APIs, webhooks, and custom endpoints
Transform, normalize, and map data payloads between SafelyYou’s internal schema and external partner specifications
Validate third-party data, segregate failed data, and automate anomaly resolution processes with third parties
Manage and execute complex data backfills and Go-Live integration pipelines for new customer rollouts
Write and maintain technical documentation and API specifications for internal engineering teams and external partners
Triage and troubleshoot integration failure modes, rate limits, and edge cases at scale
Build resilient retry mechanisms
Build systems and tooling enabling non-engineers to configure, monitor, and perform third-party integration backfills
Develop automated tests and validate payload outputs with ongoing pipeline monitoring
Work in an Agile environment to plan, track, and improve delivery of integration features and products
Collaborate with customer support, operations, and product teams
Provide technical support and participate in on-call rotation as needed
Work with R&D architects, data engineers, backend developers, and cross-functional teams to define and implement integration patterns
Act as the subject matter expert for integration patterns and identify architectural improvement opportunities
Requirements
5+ years of professional experience in software, backend, or data engineering, preferably in a startup environment
Deep hands-on experience building, consuming, and operating integrations with REST APIs, webhooks, and third-party platforms
Strong programming proficiency in Python and SQL for building reliable data transformation and integration pipelines
Proven track record of handling complex data transformations, schema mapping, and payload normalization across disparate systems
Experience solving API failure modes and operational challenges at scale, including exponential backoff, dead-letter queues, and idempotency
Strong verbal and written communication skills
Experience writing technical documentation, ADRs, or API specs
Proficiency with modern data stack tools such as dbt and PySpark
Familiarity with workflow orchestration concepts and tools such as Airflow
Exposure to Terraform and cloud infrastructure such as AWS, Athena, RDS, and EKS
Experience with electronic health records and data privacy regulations such as HIPAA is a strong plus
Experience with HL7 data feeds and the FHIR API specification is a huge plus
Experience with remote work and distributed, async-first engineering teams
Candidates must be located in the United States or Canada
Benefits
A mission-driven company culture
Fully remote
Competitive salary & benefits, including fully paid employee premiums for Medical, Dental, and Vision
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