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Beacon BiosignalsBeacon BiosignalsBoston, MA

Forward Deployed Engineer, Data Platform

Forward Deployed Engineer working directly with external partners to understand data needs, guide API integrations, and build solutions on Beacon's Datastore platform for brain data from clinical studies and home tests. Requires 5+ years data platform experience, customer-facing technical skills, SQL proficiency, and Python.

150k – 170k/yr
Hybrid5+ YOESolutions Architecture

About the role

What success looks like

  • 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
  • Lead technical conversations with partner engineers and data teams, supporting API integrations, successful adoption of data access patterns and practices, and downstream analytics
  • 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
  • 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
  • Leverage feedback from partners and internal stakeholders to improve documentation, APIs, data models, and operational processes
  • Comfortable with ambiguity and balance pragmatism with rigor, delivering solutions quickly while maintaining high standards for data integrity, correctness, and maintainability

What you will bring

  • 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

Compensation

The salary range for this role is $150,000 - 170,000. Salary ranges are determined using current market compensation data for this role and adjusted based on experience, skills, and location. The base salary is one component of the total compensation package, which includes equity, PTO and other benefits.

Skills

SQLPythonAPIsGraphQLrestETLELTSnowflakesupersetLookerData ModelingBI Tools
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