Data Engineer

Tripleseat; United States; Remote; USD 100,000 - 120,000; Full time

Benefits offered by this job

Medical Insurance

Dental & Vision

Life Insurance

Disability

401(k)

Parental Leave

PTO

Learning Access

Pet Insurance

Employee Discounts

Job summary

Tripleseat is seeking a data engineer to design, build, and maintain ELT/ETL pipelines, and to create dbt models transforming raw data into clean datasets used across the organization.

You will collaborate with engineering, product, and business teams to understand data needs, improve data quality, and support analytics tooling. The role offers remote work within the United States, with Week 1 onboarding in Concord, MA and hybrid options nearby.

Qualifications

• 2+ years of data engineering, analytics engineering, or similar data‑focused technical role.
• Proficiency in Python for building and maintaining data pipelines.
• Strong SQL skills and experience with relational databases such as MySQL.

Responsibilities

• Design, build, and maintain scalable ELT/ETL pipelines into our cloud data warehouse.
• Develop and manage dbt models to transform raw data into clean, reliable datasets.
• Collaborate with engineering, product, and business stakeholders to translate data needs into technical solutions.
• Monitor and improve pipeline reliability, performance, and data quality across the data platform.
• Contribute to data modelling best practices and data governance standards.
• Support dashboards, metrics, and analytics tooling for self‑service data access.
• Participate in code reviews and planning to maintain high engineering quality.
• Other related duties as assigned.

Skills

Python

SQL

MySQL

Snowflake

dbt

Stitch

Fivetran

Git

Dagster

Airflow

Copilot

Cursor

Claude

Communication

Salesforce

HubSpot

AWS

SaaS

Tools

Snowflake

dbt

Stitch

Fivetran

Git

Dagster

Airflow

Copilot

Cursor

Claude

Salesforce

HubSpot

AWS

Job description

Tripleseat is the leading web-based event management and sales platform designed for restaurants, hotels, and unique venues. Our mission is to simplify and streamline the event planning process, allowing our clients to focus on delivering exceptional customer experiences. We pride ourselves on fostering a collaborative, innovative work environment that encourages growth and development.

What You'll Own

• Design, build, and maintain scalable ELT/ETL pipelines that move data from source systems into our cloud data warehouse
• Develop and manage dbt models to transform raw data into clean, reliable datasets used across the organization
• Collaborate with engineering, product, and business stakeholders to understand data needs and translate them into technical solutions
• Monitor and improve pipeline reliability, performance, and data quality across our data platform
• Contribute to data modelling best practices and help establish standards for how data is structured, documented, and governed
• Support the development of dashboards, metrics, and analytics tooling that enables self‑service data access across teams
• Participate in code reviews, technical discussions, and planning to contribute to a collaborative and high‑quality engineering culture
• Other related duties as assigned

What You'll Bring

• 2+ years of experience in data engineering, analytics engineering, or a similar data‑focused technical role
• Proficiency in Python for building and maintaining data pipelines
• Strong SQL skills and comfort working with relational databases such as MySQL and their schemas
• Hands‑on experience with Snowflake or another cloud data warehouse
• Experience with dbt or a similar transformation tool for data modelling
• Experience with ELT/ETL tools such as Stitch, Fivetran, or similar
• Comfort working with Git for version control and collaborative development
• Experience with pipeline orchestration tools such as Dagster or Airflow
• Experience leveraging AI‑assisted development tools such as GitHub Copilot, Cursor, or Claude to accelerate workflows
• Strong communication skills with both business and technical acumen, and the ability to partner effectively across engineering, product, and business teams
• Familiarity with semantic layer or metrics‑layer tooling, including experience with the Snowflake MCP server (preferred)
• Experience building dashboards or conducting business and product analytics (preferred)
• Familiarity with AWS or another cloud environment (preferred)
• Experience integrating data from CRM or business systems such as Salesforce or HubSpot (preferred)
• Experience working in a fast‑growing SaaS company or startup environment (preferred)

This position is open to remote candidates eligible to work in the United States. Week 1 of onboarding is in‑person, based out of our Concord, MA office. A hybrid work schedule will be offered if the ideal candidate is based near our Concord, MA office. Additional travel may be required for meetings, company events, and training.

Salary Range: $100,000 to $120,000 annually

Compensation is based on a variety of factors, including relevant experience, skill set, geographic location, and alignment with our internal compensation framework. This role is also eligible for additional benefits and incentives.

Tripleseat truly values its employees and places a high emphasis on their well‑being and happiness. We understand that our people are the driving force behind our success and strive to create a positive and supportive work environment. We love what we do and who we get to do it with!

Benefits are subject to change and may vary based on role and location. Here are some of the awesome benefits that Tripleseat offers to its employees:

• Competitive Medical, Dental, and Vision Insurance
• Company Paid Life Insurance, Short‑and‑Long‑Term Disability Plans
• Supplemental Insurance Options
• Commuter Benefits
• 401(k) with Company Match
• Parental Leave
• Flexible Paid Time Off
• LinkedIn Learning Access
• Pet Insurance
• Employee Discount Programs

We are proud to be an equal‑opportunity employer and do not discriminate based on race, color, ethnicity, ancestry, religion, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or genetic information. Everyone Valued - Everyone Included.