9 часов назад
Lead Data Engineer (Healthcare)
140 000 - 190 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Lead Data Engineer (GCP/Healthcare): Designing and developing GCP data pipelines and ML-enabled data solutions for healthcare applications with an accent on BigQuery optimization, Python-based ELT, and robust data architecture. Focus on leading technical projects, translating business requirements into technical designs, and building scalable pipelines with Airflow, Spark, CI/CD, and advanced SQL.
Location: Remote; the opportunity supports healthcare data initiatives with the team in Nashville.
Salary: $140,000–$190,000 per year, plus benefits.
Company
is a fast-growing data and engineering company helping clients use Google Cloud and Salesforce to create data-driven solutions and insights.
What you will do
- Design, architect, develop, and support GCP data pipelines for extracting, loading, and transforming data.
- Build and maintain documentation showing how information assets are stored, processed, and supported.
- Collaborate with project teams to estimate, plan, and deliver engineering work.
- Work with business analysts and project management to translate business requirements into technical design specifications.
- Develop data solutions that support machine learning, data-driven decision-making, and improved patient outcomes.
- Participate in daily team standups and cross-functional collaboration.
Requirements
- 5+ years of hands-on experience as a Data Engineer or Data Architect.
- Proven experience leading technical projects and teams.
- Expertise with Google Cloud Platform, including Google Cloud Storage, BigQuery, Cloud Composer/Airflow, and Dataproc/Spark.
- Advanced SQL skills, including writing, tuning, and interpreting complex queries, with expertise optimizing BigQuery SQL queries and scripts.
- Proficiency in Python-based ELT pipelines, Unix/Linux shell scripting, dbt, CI/CD pipelines, and a BI tool.
- Strong data analysis, problem-solving, and machine learning experience.
Culture & Benefits
- Data-first, entrepreneurial, and innovation-focused work environment.
- Opportunities to solve complex engineering and data problems.
- Health insurance and retirement plans.
- Professional development opportunities.
- Equal opportunity workplace with reasonable accommodations available throughout the selection process.
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