Integration Engineer

Beacon Biosignals

Integration Engineer developing data platform solutions for Beacon Biosignals. Engaging with external partners to maximize the value of data integrations with the Datastore team.

Posted 7/29/2026full-timeBoston • Massachusetts • 🇺🇸 United StatesMid-LevelSenior💰 $150,000 - $170,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in developing and supporting data platform solutions, with strong proficiency in SQL and experience in customer-facing technical roles. Capable of designing and implementing data models and integrations while ensuring high standards for data integrity and maintainability.

Highest-signal resume keywords

SQL ProficiencyData Platform Solutions DevelopmentCustomer-Facing Technical ExperienceData Integration PatternsAnalytical and Operational Data Models

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLPythonJuliaRData ModelingAPI IntegrationELT/ETLData AnalysisSolution DesignApplication Development

Soft Skills

Excellent Communication SkillsProblem-SolvingCollaborationAdaptabilityCustomer Engagement

Tools & Technologies

SnowflakeSupersetLookerBeacon DatastoreGraphQLREST

Industry Keywords

Data IntegrationAnalyticsBusiness IntelligenceData IntegrityOperational Processes

Tech Stack

Tools & technologies

ETLGraphQLPythonSQL

About the role

Key responsibilities & impact

You work directly with external partners and customers to understand their data needs, analytical workflows, and technical constraints, and translate those into concrete solutions built on Beacon’s Datastore
You lead technical conversations with partner engineers and data teams, supporting API integrations, successful adoption of data access patterns and practices, and downstream analytics
You design and implement solutions for customers, sometimes on the Beacon platform and sometimes on the customer’s platform, to kickstart and expedite integration and provide examples that showcase and validate Beacon’s data
You collaborate with the rest of the Datastore team to develop internal tools, queries, and workflows that improve observability, troubleshooting, and resolution of client data issues
You leverage feedback from partners and internal stakeholders to improve documentation, APIs, data models, and operational processes
You are comfortable with ambiguity and balance pragmatism with rigor, delivering solutions quickly while maintaining high standards for data integrity, correctness, and maintainability

Requirements

What you’ll need

5+ years of experience developing and supporting data platform solutions (hands' on coding is required for this position)
3+ years in a customer-facing technical role, delivering solutions directly to external partners or clients
Strong proficiency in SQL, with hands-on experience designing and maintaining analytical or operational data models
Experience working directly with customers or external stakeholders to solve data-related problems, including requirements gathering, solution design, and delivery
Comfort operating across the stack—from querying and modeling data to writing application or integration code as needed
Proficiency in a data-oriented programming language such as Python, Julia, or R
Familiarity with APIs and data integration patterns (GraphQL or REST, batch exports and ELT/ETL, event sourcing, and the like)
Experience with modern analytics and BI tools such as Snowflake, Superset, Looker, or similar platforms
Excellent written and verbal communication skills, with the ability to explain technical concepts clearly to both technical and non-technical audiences.

Benefits

Comp & perks

equity
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