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About
Work Type: Hybrid (2–3 days onsite per week)
Employment Type: Full-time
Compensation: Competitive, based on experience
Location & Relocation This position is based in the greater Boston area (Charlestown) with a hybrid schedule of 2–3 days onsite per week.
Candidates must be open to relocating within approximately 60 days of accepting an offer. Relocation assistance will be provided to support moving expenses.
About the Opportunity BrainWorks is partnering with a rapidly scaling, IoT-enabled food & beverage technology company that is redefining how connected devices drive real-time insights across thousands of customer locations.
As they continue to grow, they are investing heavily in their data platform—specifically modernizing and scaling their streaming IoT data environment to enable proactive maintenance, improve product quality, and unlock AI-driven insights. This is a high-impact opportunity to help shape the foundation of a next‑generation data ecosystem.
Why This Role Stands Out
Opportunity to work on a
modern, event‑driven IoT data platform
at scale
Direct impact on
real‑world outcomes
(machine performance, product quality, customer experience)
Highly visible role supporting
data‑driven decision‑making and AI initiatives
Collaborative environment with strong
engineering and product alignment
Backed by a company experiencing
meaningful growth and innovation
This is a senior, hands‑on analytics engineering role focused on transforming high‑volume IoT event data into scalable, production‑ready data models. The ideal candidate brings strong data modeling expertise along with a platform mindset and is comfortable working in complex, real‑time data environments. This role is critical to enabling the company’s shift toward predictive, data‑driven operations.
What You’ll Be Doing
Own modeling across three core IoT data domains:
Hardware (sensor data), Software/UI (clickstream), and Consumption (event‑based usage)
Transform high‑volume, streaming JSON data into clean, scalable, analytics‑ready models using
DBT + Snowflake
Design aggregation strategies (e.g., 5‑min, hourly, daily) that balance performance, cost, and usability
Productionize IoT datasets to support
self‑service analytics and downstream ML/AI use cases
Partner cross‑functionally with
Software, Hardware, Product, and Operations
to translate real‑world needs into data solutions
Help shape
data platform standards
including governance, access controls, and dev vs. prod environments
Establish best practices in
DBT modeling, documentation, and maintainability
Contribute to scaling a data platform built to support
company growth
What They’re Looking For
~5–8 years of experience in analytics engineering, data engineering, or similar hands‑on roles
Strong experience with
event‑driven, time‑series, or streaming data
Advanced SQL + working knowledge of Python
Experience transforming raw/semi‑structured data (e.g., JSON) into production‑grade data models
Deep familiarity with
DBT and modern ELT practices
Experience with cloud data platforms ( Snowflake preferred )
Background building data models that support
analytics and/or ML use cases
Exposure to
data governance, permissions, and environment design (dev vs prod)
Ability to operate as a
senior‑level contributor and thought partner
Nice to Have
Clickstream or digital analytics experience
Exposure to Kafka, Influx, or streaming ingestion tools (collaboration level)
Experience supporting ML‑ready datasets or production ML workflows
Background in high‑growth, event‑heavy environments
Experience with IoT or connected device ecosystems
DISCLAIMERS In accordance with applicable federal, state, and local pay transparency and fair hiring laws, the target annual
base
salary range for this position is $145,000 - $165,000.
Final compensation will be determined based on several factors, including but not limited to relevant experience, education, skills, qualifications, internal equity, and work location.
This position may also be eligible for additional forms of compensation as well as a comprehensive benefits package provided by the hiring employer. Benefits may include medical, dental, vision, life insurance, disability coverage, 401(k) or retirement plan, paid time off, and other employee programs.
We are committed to providing equal employment opportunities to all qualified applicants and employees. Employment decisions are made without regard to race, color, religion, sex (including pregnancy, childbirth, and related medical conditions), gender identity or expression, sexual orientation, national origin, ancestry, age, physical or mental disability, medical condition, genetic information, marital status, military or veteran status, or any other characteristic protected by applicable law.
All hiring decisions are made by the hiring employer, which is expected to comply with all applicable federal, state, and local employment laws and verification requirements. BrainWorks complies with all applicable employment laws and encourages employers to provide reasonable accommodations for qualified individuals with disabilities throughout the application and employment process.
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Languages
- English
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