Senior Data Engineer – Data Platform

Buildertrend

. Lead migration of the data platform to a modern Databricks lakehouse built on dbt .

Posted 10/16/2026full-timeRemote • Nebraska • 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, building and maintaining Databricks lakehouses, and implementing data governance using Unity Catalog. Proficient in designing ELT pipelines and collaborating with cross-functional teams to enhance data products and ensure data quality.

Highest-signal resume keywords

Databricks Pipeline DevelopmentDbt Model BuildingSQL ProficiencyData Governance with Unity CatalogData Platform Migration Leadership

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringData AnalyticsETL PipelinesELT PipelinesData ModelingPython ProgrammingAPIsData Quality ChecksMedallion ArchitectureData Testing

Soft Skills

Strong Communication SkillsMentoring EngineersCollaboration with Stakeholders

Tools & Technologies

DatabricksDbtFivetranSQL ServerTableauDataGrailBigQueryOpenTelemetrySalesforceMongoDB

Certifications & Qualifications

Bachelor's Degree in Computer ScienceSoftware Engineering

Industry Keywords

B2B SaaSData GovernanceData ContractsPrivacy ComplianceMachine Learning

Tech Stack

Tools & technologies

BigQueryCloudETLMongoDBMS SQL ServerPythonSQLTableauUnity

About the role

Key responsibilities & impact

Lead migration of the data platform to a modern Databricks lakehouse built on dbt
Design, build and maintain the Databricks lakehouse using medallion architecture
Set layer standards, naming conventions and build rules for other engineers
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 auto-recovery, full-refresh jobs and watchdog orchestration to reduce manual fixes and outages
Build 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 dictionaries, ERDs, specifications and column notes
Build and improve curated data products for stakeholders and customers
Partner with data science, machine learning and AI teams on datasets for models and experiments
Partner with engineers, analysts, business leaders and stakeholders to prioritize work, manage dependencies and deliver platform improvements
Mentor engineers, contribute to architectural decisions, evaluate emerging technologies and develop 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
Hands-on, production-level experience with Databricks, including building and orchestrating pipelines, managing jobs and clusters, and using Unity Catalog for governance
Hands-on, production-level experience with dbt, including building and maintaining models, tests and macros in production
Experience leading a data platform migration from planning through delivery, including setting deadlines and owning the outcome
Experience partnering with data science, machine learning, or AI teams to build and curate datasets
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 production
Strong communication skills to explain technical tradeoffs to engineers and non-technical stakeholders
Demonstrated experience mentoring engineers, reviewing technical work and influencing engineering standards
Previous experience at a B2B SaaS company is preferred
BigQuery or Fivetran experience is a plus

Benefits

Comp & perks

Exceptional health packages, including medical, dental, and vision coverage
Life insurance
Short- and long-term disability benefits
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 for home-working technology costs
Free daily lunches at HQ office
Monthly team events