Hiring: Senior Data Engineer Company: Buildertrend Location: Nebraska, United States Job Posted Time: 2026-09-03 11:05:50 Employment Type: Remote Target Skills & Keywords : BigQuery, Databricks, ELT, ETL, Fivetran, Machine Learning, MongoDB, OpenTelemetry, Python, SQL, SQL Server, SaaS, Salesforce, Snowflake, dbt About the job Experience: •5+ years of experience in data engineering, data science or data analytics. Required Skills: •Design, build and maintain Buildertrend's Databricks lakehouse using a medallion (bronze, silver, gold) architecture in dbt, and set the layer standards, naming conventions and build rules other engineers follow. •Build ELT pipelines with Databricks, dbt and Fivetran that bring in data from SQL Server, Salesforce, MongoDB, Gong, OpenTelemetry and vendors like Zonda, turning it into curated, analytics- and AI-ready datasets. •Lead the exit from legacy systems like BigQuery, Data Fusion and Cloud Fusion by refactoring pipelines rather than copying them over as-is, untangling circular dependencies, and repointing tools like Tableau to the new platform with clear owners and deadlines. •Strengthen reliability by improving SQL Server log-ship replication and Fivetran ingestion, and by building automation like auto-recovery, full-refresh jobs and watchdog orchestration that cuts down on manual fixes and outages. •Build data quality checks, freshness monitoring and quality metrics using dbt tests, Unity Catalog and Fivetran metadata, so stakeholders can trust the numbers without double-checking them. •Design access controls for large datasets, including permission models, per-team clusters, service principals and scoped access for AI tools, and handle privacy requests through tools like DataGrail to meet CCPA requirements. •Set up data contracts with product engineering so upstream schema changes don't silently break the warehouse, and write documentation (data dictionary, ERDs, spec docs, column notes) clear enough for people and AI tools to use. •Build and improve the curated data products that let stakeholders and customers turn raw data into decisions. Qualifications: •Bachelor's degree in computer science, software engineering or a related field is required. Compensation: •$130,000 - $160,000 / year •Flexible work environment (work from home / hybrid options) Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!