Data Integration Engineer

Job not on LinkedIn

🔥 7 minutes ago

🌐 United States, Canada – Remote

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💵 $165k - $185k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

💻 Solutions Engineer

👻 Ghost score 0%

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SafelyYou

51 - 200 employees

Founded 2015

🏥 Healthcare

🤖 Artificial Intelligence

☁️ SaaS

💰 $43M Series C - Safely You on 2025-01

Healthcare • Artificial Intelligence • SaaS

SafelyYou is a healthcare technology company that uses proven artificial intelligence and clinical expertise to improve the quality of care for seniors across care settings. It provides AI-driven monitoring, analytics, and clinical support to care facilities and caregivers to detect falls and other safety events, reduce risk, and enable better outcomes and peace of mind for aging individuals and their families. SafelyYou primarily delivers its solutions to care organizations via enterprise/B2B channels.

📋 Description

• 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 • 401k Program • Monthly Education, Well-being & WFH stipends • Non-accrual PTO • Growth Potential • Company Retreats • Medical & Family/Parental Leave • Bonus plan • Stock options

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