3 дня назад
Lead Data Engineer (Databricks)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Lead Data Engineer (Databricks): Building and operating scalable batch and streaming data pipelines and Databricks data platform components for analytics, AI/ML initiatives, and business operations with an accent on performance, cost, scalability, governance, and observability. Focus on leading data engineering delivery, implementing data quality and security controls, optimizing production workflows, and mentoring engineers on testing and CI/CD.
Location: United States; based in Austin, TX, Nashville, TN, or remote within the United States.
Company
supports community oncologists through a patient-centric, physician-driven, and technology-powered healthcare model.
What you will do
- Design, build, and maintain scalable batch and streaming data pipelines for data warehouses and data lakes.
- Own the Databricks Cloud Data Warehouse and optimize performance, cost, scalability, maintainability, and observability.
- Provide technical leadership through story definition, task planning, design discussions, code reviews, and delivery oversight.
- Implement data modeling, integration, lifecycle, quality, lineage, and metadata standards.
- Build governance, access, retention, accuracy, integrity, security, HIPAA, and SOX controls into data platforms and pipelines.
- Monitor and troubleshoot production workflows, lead root-cause analysis, and mentor engineers on best practices, testing, CI/CD, and emerging tools.
Requirements
- High school diploma or GED.
- 7+ years of hands-on experience in data engineering or the Big Data domain.
- 2+ years leading or mentoring engineers as a technical lead or senior engineer.
- Hands-on experience with Databricks, Snowflake, Fabric, or similar modern Big Data and cloud data warehouse technologies.
- Experience building scalable data solutions on a leading cloud platform, with Azure preferred.
- Proficiency in SQL and Python or another object-oriented language.
Nice to have
- Experience with orchestration and transformation tools such as Airflow or Azure Data Factory.
- Knowledge of dimensional, 3NF, or Data Vault modeling methodologies.
- Experience implementing data governance, security, and compliance requirements in data pipelines.
Culture & Benefits
- Values-driven culture combining startup enthusiasm with support from leaders in oncology, urology, technology, and finance.
- Collaboration with data analysts, engineers, governance teams, security teams, and business stakeholders.
- Hands-on technical work focused on improving healthcare operations and patient outcomes.
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