8 дней назад
Engineer I, Business Analytics and Data Intelligence
93 000 - 117 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Engineer I, Business Analytics and Data Intelligence (SQL/Python/Scala): Building and maintaining data pipelines, data warehouse and lakehouse infrastructure, and validation workflows for healthcare data with an accent on normalized and denormalized data structures, data quality, and automation. Focus on diagnosing pipeline issues, implementing data lineage and observability, integrating cloud data platforms, and supporting reliable analytics and reporting.
Location: Not specified
Salary: $93,000–$117,000 annually
Company
operates in the healthcare sector and provides dental, medical, and vision services.
What you will do
- Work with the Data Warehouse Product Owner and Business System Analyst to understand business needs and write user stories.
- Collaborate with senior engineers and data architects to develop data flows.
- Build data pipelines that load data from multiple sources and apply complex business logic to normalized and denormalized data structures.
- Diagnose and resolve data pipeline, data quality, and data accessibility issues.
- Manage and optimize data warehouses, data lakes, and other data infrastructure components.
- Implement validation rules, monitoring, data lineage tracking, and workflow automation.
Requirements
- Bachelor’s degree in Computer Science, Management Information Systems, or a related field; alternatively, 5+ years of professional experience.
- At least 2 years of experience with database development, OLTP, data warehouses, dimensional modeling, cloud data platforms, data pipelines, Agile methodologies, source control, and software development lifecycles.
- Proficiency in SQL, Python, and Scala.
- Ability to work with probability, statistical inference, complex data, ambiguity, and changing priorities.
- Strong communication, organization, problem-solving, and independent decision-making skills.
Nice to have
- Experience with Epic Clarity/Caboodle data models or other healthcare data.
- Experience with Microsoft SSIS, Microsoft Fabric, cloud lakehouses, Kafka, Airflow, or Dagster.
- Experience with data observability, anomaly detection, MLOps, AI copilots, or development automation tools.
Culture & Benefits
- Medical, dental, and vision insurance.
- Paid time off and paid time to volunteer in the local community.
- Tuition reimbursement.
- 401(k) plan.
- Equal opportunity workplace focused on healthier and happier team members.
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