Data Integration Engineer

Posted 7 hours ago

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About the role

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

Job type

Full Time

Experience level

Mid levelSenior

Salary

$165,000 - $185,000 per year

Degree requirement

No Education Requirement

Tech skills

AirflowAWSCloudPySparkPythonSQLTerraformGo

Location requirements

RemoteUnited States

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