Logo of Huzzle

Senior Data Engineer

image

Optum

12d ago

  • Job
    Full-time
    Senior Level
  • Data
    IT & Cybersecurity
  • Dublin

AI generated summary

  • You need a relevant degree, extensive SQL and programming skills, cloud proficiency (Azure/AWS/GCP), big data experience (Spark, Kafka), healthcare knowledge, leadership experience, and GCP certification.
  • You will design and maintain data pipelines, optimize processes, implement automation, ensure data security, mentor others, and support the deployment of data solutions in healthcare.

Requirements

  • Bachelor’s degree in computer science, engineering, a related field or equivalent industry experience
  • Extensive experience in SQL and object-oriented / object functional scripting language: Python, Scala, Java, etc.
  • Proficient with Azure, AWS or GCP
  • Proven experience with GitHub and cloud environment tools
  • Hands on experience of developing big data processes using big data tools – Spark, Hadoop, Kafka, etc.
  • Data Quality and Data Security process, tools and technologies knowledge
  • Healthcare industry knowledge and experience with exposure to EDI, HIPAA, HL7 and FHIR integration standards
  • Previous experience in leading teams/people management and mentoring.
  • Data Virtualization tools and technology experience
  • Experience with Metadata management and Data Catalog management process, tools and technologies
  • Experience with Spark in data processing and machine learning processes.
  • Hands-on experience with related/complementary open-source software platforms and languages (e.g. Java, Angular, Scala Linux, Apache, Unix)
  • Experience with API technologies
  • Professional GCP Data Engineer Certification

Responsibilities

  • Design, develop, and maintain data pipelines, to ingest, transform, and store healthcare data from various enterprise data sources
  • Analyze raw data sources, data transformation, structural requirements for new software and application
  • Identify, design, and implement internal process improvements, such as:
  • Data encryption
  • Data de-identification to ensure data security
  • Role-based data access
  • Automating manual processes
  • Optimizing data delivery
  • Tuning and optimizing data processes for greater scalability, etc.
  • Design, build and implement automation processes for production release of data engineering, machine learning and business intelligence processes.
  • Code, test, document, and maintain high-quality and scalable Big Data solutions
  • Define security and backup strategy for data solutions
  • Build and implement batch and near real time data pipelines
  • Help to ensure successful deployment of newly implemented data solutions
  • Works with less structured, more complex issues
  • Serves as a technical leader and mentor to others

FAQs

What is the job title for this position?

The job title is Senior Data Engineer.

Where is the location for this job?

The job is based in Dublin or Letterkenny, with a hybrid work model.

What is the main focus of the Stratus Imaging Analytics team?

The main focus of the Stratus Imaging Analytics team is to build Analytics solutions for the Enterprise Imaging portfolio.

What are some primary responsibilities of the Senior Data Engineer?

Primary responsibilities include designing, developing, and maintaining data pipelines, analyzing raw data sources, implementing internal process improvements, and ensuring successful deployment of newly implemented data solutions.

What qualifications are required for this position?

Required qualifications include a Bachelor’s degree in computer science, engineering, or a related field, extensive experience in SQL and a scripting language (Python, Scala, or Java), proficiency with cloud platforms (Azure, AWS, or GCP), and hands-on experience with big data tools (Spark, Hadoop, Kafka).

Is experience in the healthcare industry preferred for this job?

Yes, experience in the healthcare industry and exposure to EDI, HIPAA, HL7, and FHIR integration standards is preferred.

What certifications are considered advantageous for this role?

Having a Professional GCP Data Engineer Certification is considered advantageous.

What types of processes does this job require automation for?

The job requires automation for production release of data engineering, machine learning, and business intelligence processes.

Are there opportunities for career development within Optum?

Yes, Optum offers comprehensive benefits and career development opportunities.

What is the company culture like at Optum?

The company culture is guided by diversity and inclusion, with a focus on collaboration and making an impact on health equity globally.

Will the selected candidate have the chance to mentor others?

Yes, the selected Senior Data Engineer will serve as a technical leader and mentor to others.

Do we have any specific requirements regarding eligibility to work?

Yes, applicants must currently be eligible to work and remain indefinitely without any restrictions in the country to which they are applying.

What is UnitedHealth Group's mission?

UnitedHealth Group's mission is to help people live healthier lives and make the health system work better for everyone.

Is Optum an Equal Employment Opportunity employer?

Yes, Optum is an Equal Employment Opportunity employer and considers all qualified applicants without regard to various personal characteristics protected by law.

Science & Healthcare
Industry
10,001+
Employees

Mission & Purpose

Optum is a health services and technology company that provides a wide range of solutions to improve healthcare delivery and outcomes. They offer services in healthcare management, data analytics, pharmacy benefit management, and technology solutions to healthcare providers, payers, employers, and government agencies. Optum's ultimate mission is to improve the health system's efficiency and effectiveness, creating a healthier world for everyone. Their purpose lies in collaborating with healthcare partners to address complex challenges, such as improving care coordination, reducing healthcare costs, and enhancing patient experiences. By leveraging data-driven insights and innovative technology, Optum aims to empower healthcare professionals and organisations to deliver high-quality, patient-centered care and drive positive healthcare outcomes for individuals and communities worldwide.

Culture & Values

  • Integrity

    Honour commitments. Never compromise ethics.

  • Compassion

    Walk in the shoes of people we serve and those with whom we work.

  • Relationships

    Build trust through collaboration.

  • Innovation

    Invent the future, learn from the past.

  • Performance

    Demonstrate excellence in everything we do.