3 дня назад
Senior Data Engineer (Databricks)
130 000 - 160 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Engineer (Databricks): Building and migrating Buildertrend's data platform to a Databricks lakehouse with an accent on ELT pipelines, curated analytics and AI-ready datasets, and reliable medallion architecture. Focus on completing legacy system migrations, automating recovery and monitoring, enforcing data quality and access governance, and mentoring engineers toward technical leadership.
Location: United States — remote, or Omaha, Nebraska — hybrid
Salary: $130,000–$160,000 per year
Company
provides a residential construction management SaaS platform for managing financials, schedules, workflows, and client relationships.
What you will do
- Design and maintain a Databricks lakehouse using dbt and bronze, silver, and gold medallion architecture.
- Build ELT pipelines with Databricks, dbt, and Fivetran for SQL Server, Salesforce, MongoDB, Gong, OpenTelemetry, and vendor data.
- Lead migration away from BigQuery, Data Fusion, and Cloud Fusion, including refactoring pipelines and repointing Tableau.
- Improve reliability through replication, ingestion enhancements, auto-recovery, full-refresh jobs, watchdog orchestration, and monitoring.
- Build data quality checks, freshness metrics, access controls, governance policies, and privacy workflows for CCPA compliance.
- Define data contracts and documentation, develop curated data products, collaborate with stakeholders, and mentor engineers.
Requirements
- Bachelor’s degree in computer science, software engineering, or a related field.
- 5+ years of experience in data engineering, data science, or data analytics.
- Experience leading a data platform migration from planning through delivery and ownership of deadlines and outcomes.
- Hands-on experience with Databricks, Unity Catalog, dbt, SQL, Microsoft SQL Server, Python, APIs, and large datasets.
- Strong understanding of data modeling, ETL and ELT pipelines, medallion architecture, data testing, freshness monitoring, alerting, access controls, and governance.
- Experience supporting Data Science, ML, or AI teams, mentoring engineers, reviewing technical work, and influencing engineering standards.
Nice to have
- Previous experience at a B2B SaaS company.
- Experience with BigQuery, Snowflake, and Fivetran.
- Practical experience applying AI and evaluating emerging technologies.
Culture & Benefits
- Remote or hybrid work options, with an onsite fitness center and free daily lunches at the headquarters.
- Medical, dental, vision, life insurance, and short- and long-term disability coverage.
- 401(k) plan with matching contributions.
- Paid time off, 11 paid holidays, personal days, parental leave, and paid sabbaticals.
- Volunteer time off, wellness programs, technology reimbursement, and monthly team events.
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