Senior Data Engineer

Buildertrend

Senior Data Engineer modernizing Buildertrend's residential construction management data platform with Databricks. Building reliable ELT pipelines, governed datasets, and AI-ready data products.

Posted 8/11/2026full-timeRemote • New York • 🇺🇸 United StatesSenior💰 $130,000 - $160,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading data platform migrations, particularly with Databricks and dbt, while ensuring data quality and governance. Proficient in building and maintaining ELT pipelines and collaborating with cross-functional teams to deliver data solutions.

Highest-signal resume keywords

Databricks Lakehouse DevelopmentSQL Server ProficiencyData Platform Migration LeadershipELT Pipeline ConstructionData Quality Implementation

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Applicant Tracking System Keywords

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Hard Skills

SQLPythonData ModelingETLELTMedallion ArchitectureData TestingAccess ControlData DocumentationData Governance

Soft Skills

Strong CommunicationMentoringCollaborationTechnical Leadership

Tools & Technologies

DatabricksDbtFivetranUnity CatalogBigQuerySnowflakeSalesforceMongoDBTableauDataGrail

Industry Keywords

B2B SaaSData EngineeringData ScienceMachine LearningAnalytics

Tech Stack

Tools & technologies

BigQueryCloudETLMongoDBMS SQL ServerPythonSQLTableauUnity

About the role

Key responsibilities & impact

Lead migration of Buildertrend's data platform to a modern Databricks lakehouse
Design, build, and maintain the Databricks lakehouse using medallion architecture in dbt
Establish layer standards, naming conventions, and build rules
Build ELT pipelines with Databricks, dbt, and Fivetran from SQL Server, Salesforce, MongoDB, Gong, OpenTelemetry, and vendors such as Zonda
Lead the exit from legacy systems including BigQuery, Data Fusion, and Cloud Fusion
Refactor pipelines, untangle circular dependencies, and repoint Tableau to the new platform
Improve SQL Server log-ship replication and Fivetran ingestion
Build automation including auto-recovery, full-refresh jobs, and watchdog orchestration
Implement data quality checks, freshness monitoring, and quality metrics using dbt tests, Unity Catalog, and Fivetran metadata
Design access controls, permission models, per-team clusters, service principals, and scoped access for AI tools
Handle privacy requests through tools such as DataGrail to meet CCPA requirements
Establish data contracts with product engineering and write data documentation including data dictionaries, ERDs, specification documents, and column notes
Build and improve curated data products
Partner with engineers, analysts, business leaders, and stakeholders to prioritize work and manage dependencies
Mentor engineers, contribute to architectural decisions, evaluate emerging technologies, and grow toward technical leadership

Requirements

What you’ll need

Bachelor's degree in computer science, software engineering, or a related field is required
5+ years of experience in data engineering, data science, or data analytics
Proven experience leading a data platform migration from planning through delivery, including setting deadlines and owning the outcome
Experience partnering with Data Science, ML, or AI teams and building datasets for model development and experimentation
Hands-on experience with Databricks, Unity Catalog, and dbt
Strong proficiency in SQL, Microsoft SQL Server, Python, APIs, and large, complex datasets
Deep understanding of data modeling, ETL and ELT pipelines, medallion architecture, and analytics- and machine-learning-ready datasets
Experience writing data tests, setting up freshness and alerting monitors, and building access controls or governance policies in a live production environment
Strong communication skills and ability to explain technical tradeoffs to technical and non-technical stakeholders
Demonstrated experience mentoring engineers, reviewing technical work, and influencing engineering standards
Practical approach to new tools and technologies, including AI
Previous experience at a B2B SaaS company is preferred
Experience with BigQuery, Snowflake, and Fivetran is a plus

Benefits

Comp & perks

Exceptional health packages, including medical, dental, and vision coverage, plus life insurance and short- and long-term disability benefits
A 401(k) plan with Buildertrend matching contributions
Generous paid time off
11 paid holidays
Personal days
Parental leave
Paid sabbaticals
Volunteer time off
Wellness program
Onsite fitness center
Opportunities for hybrid or remote work
Technology reimbursement
Free daily lunches when you're at our HQ office
Monthly events to connect with your team