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Cloud Operations Specialist

2 months ago

Chicago, Illinois, United States Blue Health Intelligence Full time

About Blue Health Intelligence:

Blue Health Intelligence is a leading data and analytics organization dedicated to empowering health plans, researchers, healthcare providers, employers, and government entities to leverage data for enhanced health outcomes, promoting value-based care, and addressing health equity. Our approach combines the most extensive and highest quality commercial data assets with advanced analytics, artificial intelligence, machine learning, and profound healthcare expertise to deliver measurable outcomes and value to our partners.

Position Overview:

We are in search of a seasoned Cloud Operations Engineer who possesses a comprehensive understanding of AWS CI/CD methodologies and is adept in utilizing CloudFormation and Jenkins. Proficiency in Python, Databricks, AWS Glue/EMR, and cloud databases is essential. Experience within the healthcare sector is a notable advantage. The successful candidate will play a pivotal role in managing workflow operations with Airflow and overseeing the CI/CD processes within our AWS infrastructure, ensuring optimal performance, security, and data integrity.

Key Responsibilities:

  • Utilize AWS cloud services for data storage, processing, and analytics, optimizing both cost and performance through CloudFormation and Jenkins.
  • Employ tools such as Airflow for workflow management and Kubernetes for container orchestration to facilitate seamless deployment, scaling, and management of data processing applications.
  • Design, develop, and maintain scalable, reliable, and secure data pipelines for processing extensive volumes of structured and unstructured healthcare data using Python and Snowflake.
  • Continuously assess and integrate new tools, technologies, and frameworks to enhance the data infrastructure and foster innovation.
  • Collaborate with data architects, data scientists, and analysts to comprehend data requirements and implement solutions that align with business and technical objectives.
  • Develop and execute data ingestion, transformation, and validation processes to ensure data quality, consistency, and reliability across diverse healthcare datasets.
  • Monitor and troubleshoot data pipelines, proactively identifying and resolving issues to minimize downtime and ensure peak performance.
  • Establish and uphold CI/CD, infrastructure, and data pipeline operations to ensure compliance with data privacy and security regulations pertinent to the healthcare sector.
  • Mentor and guide junior data engineers, fostering a collaborative culture of learning and growth within the team.
  • Work with cross-functional teams to align data engineering initiatives with broader organizational goals and strategies.
  • Understand and adhere to SOC 2 compliance requirements and their implications on company policies and processes.
  • Review and comprehend the Employee Handbook and internal policies that delineate individual security responsibilities, maintaining segregation of duties according to role requirements.

Qualifications:

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related discipline.
  • 5+ years of experience in data engineering, with a robust background in Apache Spark and cloud-based databases such as Snowflake.
  • Strong knowledge of Big Data Technologies, PySpark, and proficiency in one or more programming languages, particularly Python.
  • Demonstrated experience with AWS cloud services for data storage, processing, and analytics.
  • Expertise in workflow management tools like Airflow and container orchestration systems such as Kubernetes.
  • Solid understanding of SQL and NoSQL databases, alongside data modeling and schema design principles.
  • Familiarity with healthcare data standards, terminologies, and regulations, including HIPAA and GDPR, is highly desirable.
  • Exceptional problem-solving, communication, and collaboration skills, with the ability to work effectively in cross-functional teams.
  • Proven ability to manage multiple projects, prioritize tasks, and meet deadlines in a dynamic environment.
  • A strong desire to learn, adapt, and contribute to a rapidly evolving data landscape.

We provide competitive compensation and benefits packages, along with opportunities for career advancement and professional development.

Equal Employment Opportunity: Blue Health Intelligence is committed to providing equal employment opportunities and advancement opportunities to all colleagues and qualified applicants for employment without regard to race, color, religion, national origin, sex, age, disability, sexual orientation, gender identity, or any other classification protected by federal, state, or local laws.