Analytics Engineer

Bevicareers; Boston (MA); Hybrid; USD 134,000 - 165,000; Full time

Benefits offered by this job

Medical insurance

401(k) matching

Flexible PTO

Parental leave

Job summary

Bevi is hiring an Analytics Engineer to own and optimize data pipelines across finance, operations, IOT, and marketing. You will build ingestions for new sources, maintain dbt models, and design semantic layers used by AI and humans.

This role requires judgment, collaboration, and a proactive approach to data quality and reliability. You’ll work hybrid in Bevi’s data platform, partnering with teams to transform requests into scalable technical solutions and push for robust, well-documented data

Qualifications

• 4–6 years of analytics/engineering experience and a quantitative degree.
• Expertise in dbt and SQL with strong Snowflake knowledge.
• Experience building ingestion pipelines and data platforms.

Responsibilities

• Maintain dbt models and Snowflake layers powering core reports.
• Own marketing data pipeline end-to-end and ingest non-traditional data.
• Diagnose and fix complex data issues to improve resilience.
• Collaborate with cross-functional teams and translate requests.
• Contribute to AI-powered data products and semantic layers.
• Ingest data from Salesforce, NetSuite, Zendesk, and ADP.

Skills

dbt

SQL

Snowflake

Data engineering

Pipeline monitoring

Cross-functional

Data quality

Education

BS in Computer Science

BS in Data Science

Statistics/Engineering

Tools

Salesforce

NetSuite

Zendesk

ADP

Job description

Bevi is on a mission to transform how beverages are delivered and consumed. Our connected beverage platform eliminates the need for single-use bottles and cans, making it easy, fun, and sustainable to stay hydrated. As the category leader in IoT-enabled beverage technology, we’re building a future where Bevi machines are everywhere people live, work, and connect. We’ve raised over $160M in venture capital, serve thousands of customers across the US, Canada, UK and Ireland, and we’ve been rapidly growing year over year, saving over 1 billion bottles from waste. In addition to driving hypergrowth with our current product line, Bevi is heavily investing in new product development.

We’re looking for a builder - an Analytics Engineer who thinks as much as they execute. You’ll juggle a high-velocity mix of ownership across dbt models, Snowflake semantic layers, and data pipelines spanning finance, operations, IOT, and marketing - and you’ll build net-new ingestion for data sources that don’t have a structured feed yet, including the AI-powered data products we’re building next. What sets this person apart is judgment - someone who looks at how something’s done today and pushes it to be better, brings their own point of view rather than just taking the ask at face value, and builds things that hold up rather than just ship.

Your Day to Day:

• Maintain the dbt models and Snowflake semantic layers that power core reporting across finance, operations, IOT, and marketing - keeping them tested, documented, and trusted by the team.
• Own the marketing data pipeline end-to-end: build the dbt models and data engineering needed to bring marketing data in, including creatively designing new processes to capture non-traditional data streams that don't yet have a structured feed.
• Root-cause and resolve complex data issues anywhere in the pipeline - data gaps, migration mismatches, permission changes, broken alerts - especially the ones without an obvious fix, and use what you find to make the pipeline more resilient, not just patched.
• Partner directly with cross-functional teams, translating ad hoc data requests into scoped, well-understood problems - bringing your own recommendation on the best way to solve it, not just executing the ask as stated.
• Contribute to new AI-powered data products, building semantic layers and data models that make company data usable by AI agents as well as people.
• Own data ingestion from multiple systems (e.g., Salesforce, NetSuite, Zendesk, ADP), including handling sensitive data with appropriate care.
• Bring ideas for how the team’s data models, testing, and documentation could be better — partnering with the Data Platform team member who owns and enforces the standards to help make improvements stick.

Who You Are:

• 4-6 years of professional experience in analytics engineering, data engineering, or business intelligence. BS in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative field (MS a plus, not required).
• Expert in dbt and SQL, with strong knowledge of Snowflake or other cloud data warehouse.
• Experienced with data engineering - building ingestion pipelines that bring new data sources in, not just transforming data that’s already landed.
• Comfortable building pipeline monitoring and alerting (eg freshness checks, data quality alerts) - elevated pipeline engineering, not just basic ETL.
• Experienced translating ambiguous, loosely-defined requests into scoped, well-understood problems and delivery plans.
• Track record of proactively identifying and driving improvements to tooling, models, or process - not just executing what’s assigned.
• Reputation for thorough, dependable work that’s trusted by the team.
• Skilled at communicating technical work clearly to technical and non-technical audiences.
• Sound judgment on trade-offs, with a track record of flagging risks early.

#LI-CD1

#LI-HYBRID

At Bevi, we believe compensation is a powerful tool to attract, retain, and grow talent. Our Compensation Philosophy centers on 5 principles:

• Market-driven - We anchor pay decisions in real-time market data
• Performance-based - We reward individual impact, not just tenure
• Equitable - We ensure fairness across teams, roles, and demographics
• Growth-focused - We invest in talent that scales with Bevi
• Total Rewards approach - We strategically balance base pay, bonuses, benefits, and equity

The posted compensation range reflects the salary* for this position. Some roles may be eligible for a commission plan or a bonus incentive. All Bevi employees receive equity in the form of stock options. All full-time employees are invited to participate in our Total Rewards plan, which includes health & medical benefits, flexible spending accounts, flexible PTO, and more. Offers to join Bevi are based on a few criteria, including the scope of the role, the candidate’s work experience, targeted skills, internal equity of the team, and external market data.

*For Sales roles: The posted range reflects base salary plus commission which is the total potential on target earnings (OTE) for the position.

Pay Range

$133,875 — $165,375 USD

Benefits:

• Comprehensive medical, dental and vision insurance plans with BlueCross BlueShield, 95% paid by employer
• 401(k) with company match
• Flexible PTO plus 12 company holidays, and additional paid days for sick leave, etc
• Generous fully paid parental leave for both birth parents and non-birth parents
• Fully employer paid disability and life insurances
• Wellness and fitness reimbursements
• Monthly stipends for cell phone use and commuting costs
• Onsite snacks, weekly catered lunch, and (of course) unlimited Bevi ... plus composting and terra-cycling, too
• Happy hours, team-building events, bagel breakfasts, Values awards - and more.

A note on AI in our hiring process: We use AI to help synthesize interview notes and surface themes from feedback, keeping our process consistent as we grow. Every application is reviewed by a member of our team, and interviews may be recorded to support note-taking, just let us know if you’d prefer we don’t. We’ll also ask how you’re learning and experimenting with AI in your work. Growing our AI fluency is something every Bevi team member is committed to and invested in.

Our commitment to responsible innovation is reflected in our partnership with the Mass AI Coalition, a collaboration that aligns with our dedication to community-driven progress and the future of technology.

Accommodations:

Bevi is committed to an inclusive hiring process and we aim to provide accommodations for persons with disabilities. If you need any accommodations for the application or throughout the interview process please contact [e-mail].