Note: The job is a remote job and is open to candidates in USA. Tripleseat is hiring a Data Engineer to build and maintain data pipelines and dbt models that support reliable, organization-wide data access. The role also focuses on data quality, modeling standards, analytics tooling, and collaboration with engineering, product, and business teams.
Responsibilities
- 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 modeling 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
Skills
- 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 modeling
- 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
- Experience building dashboards or conducting business and product analytics
- Familiarity with AWS or another cloud environment
- Experience integrating data from CRM or business systems such as Salesforce or HubSpot
- Experience working in a fast-growing SaaS company or startup environment
Benefits
- 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
- Open to remote candidates eligible to work in the United States; Week 1 of onboarding is in-person, based out of the Concord, MA office. A hybrid work schedule will be offered if the ideal candidate is based near the Concord, MA office.
Company Overview