Data Integration Engineer

SafelyYou is a company focused on improving senior living through AI, hardware, and remote expert clinicians. The Data Integration Engineer will design, build, and operate integration pipelines connecting internal systems with third-party APIs, webhooks, and partner platforms. The role also involves data transformation, failure handling, backfills, technical documentation, monitoring, and collaboration with cross-functional teams.

Responsibilities:

• Design, build, and operate robust integration pipelines to ingest data from and push data to third-party APIs, webhooks, and custom endpoints
• Transform, normalize, and map data payloads between SafelyYou’s internal schema and external partner specifications (e.g., JSON/XML schemas, third-party platforms)
• Performing validation on data received from third-parties, segregating data that fails validation, and automating processes with third-parties to resolve anomalies
• Manage and execute complex data backfills and Go-Live integration pipelines for new customer rollouts
• Write and maintain clear, high-quality technical documentation and API specifications for both internal engineering teams and external partners
• Triage, troubleshoot, and gracefully handle integration failure modes, rate limits, and edge cases at scale, building resilient retry mechanisms
• Scale our ability to support 3rd party integrations by building systems and tooling to allow non-engineer users to configure, monitor, and perform backfills for third-party integrations
• Ensure data quality, consistency, and reliability by developing automated tests and validating payload outputs with ongoing pipeline monitoring
• Work in an Agile environment to plan, track, and improve the delivery of new integration features and products
• Collaborate with customer support, operations, and product teams to provide technical support and participate in on-call rotation as needed

Requirements:

• CANDIDATES MUST BE LOCATED IN THE UNITED STATES OR CANADA
• 5+ years of professional experience in software, backend, or data engineering
• 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 encountering and solving API failure modes and operational challenges at scale (e.g., implementing exponential backoff, dead-letter queues, idempotency). Has seen where things fail and can recommend solutions to maintain a stable platform
• Strong verbal and written communication skills, with specific experience writing technical documentation, ADRs, or API specs
• Proactive about anticipating and addressing data ingestion issues before they impact the business
• Prioritize quality over speed. When it is done, it is really done
• preferably in a startup environment
• 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, EKS)
• Experience with electronic health records (EHR) and associated data privacy regulations (e.g., 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