обновлено 18 часов назад
Lead Data Engineer (Data Engineering)
148 137 - 214 760$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Lead Data Engineer (Data Engineering): Designing and optimizing production-grade data pipelines, data products, and platform capabilities with an accent on distributed computing, cloud-agnostic architecture, and data quality. Focus on building scalable and resilient systems, implementing CI/CD and infrastructure as code, and providing hands-on technical leadership and mentorship.
Location: 100% remote; employee must live within the United States. The role is based in Rochester, Minnesota, with M–F daytime hours.
Salary: $148,137.60–$214,760.00 per year.
Company
A top-ranked healthcare provider focused on patient-centered care, employee development, and comprehensive benefits.
What you will do
- Design, develop, review, and optimize production-grade data pipelines, data products, and platform capabilities.
- Lead data architecture design, prototyping, infrastructure improvements, and automation of manual processes.
- Establish architectural principles, design patterns, and engineering standards for scalable and resilient systems.
- Analyze requirements and collaborate with software, frontend, backend, data, and platform engineers.
- Lead technical discussions, participate in the Technical Review Board, and serve as a liaison between engineering leadership and technical teams.
- Mentor engineers and contribute hands-on code in an Agile, SAFe, and Scrum environment.
Requirements
- Bachelor’s degree in Computer Science, Engineering, or a related field with 6 years of experience, or an associate degree with 8 years of experience.
- At least 5 years of experience in data engineering, data science, or analytical modeling, including production data pipelines.
- Advanced proficiency in Python and SQL, with experience supporting production-grade solutions.
- Experience with relational and NoSQL databases, cloud platforms such as GCP, Azure, or AWS, and CI/CD tools including Jenkins, GitHub Actions, or Azure Pipelines.
- Experience with Spark, Hive, Airflow, Kafka, GCP Dataflow, BigQuery, FHIR APIs, Vertex AI, Kubernetes, and Docker.
- Must live within the United States for this 100% remote role.
Nice to have
- Experience with distributed computing frameworks such as Spark, Flink, or Ray.
- Experience with Apache Iceberg, Delta Lake, Apache Hudi, Parquet, Avro, and ORC.
- Experience designing enterprise-scale data platforms supporting analytics, AI/ML, and operational workloads.
Culture & Benefits
- Full-time schedule with 80 hours per pay period and M–F daytime hours.
- Medical, dental, and vision plan options.
- HSA and FSA options for eligible expenses.
- Competitive retirement package.
- Continuing education and career advancement opportunities.
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