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Beacon BiosignalsBeacon BiosignalsBoston, MA

Forward Deployed Engineer

Forward Deployed Engineer working directly with external partners and customers to understand data needs, guide API integrations with Beacon’s brain data platform, design and implement customer solutions, build analyses/dashboards, and develop internal tools for troubleshooting. Requires 5+ years data platform experience, 3+ years customer-facing, strong SQL and Python skills.

150k – 170k
Hybrid5+ YOESolutions Architecture

About the role

Responsibilities

  • 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.
  • Develop PoCs and production-ready code, build analyses and dashboards, and create integration tooling that helps partners succeed with Beacon’s data.

Requirements

  • 5+ years of experience developing and supporting data platform solutions (hands-on coding is required for this position).
  • 3+ years in a customer-facing role, developing and managing customer relationships.
  • 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

  • Salary range: $150,000 - $170,000 base.
  • Total compensation package includes equity, PTO and other benefits.

Skills

SQLPythonAPIsGraphQLRestETLELTSnowflakeSupersetLookerData Modeling
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