Analytic Engineer IT-Architect

##### Project description

Join Our Team: Innovating Health Care with Cutting-Edge Technology

Combine two of the fastest-growing fields on the planet with a culture of performance, collaboration, and opportunity — and this is what you get. We are at the forefront of technology in an industry that is transforming the lives of millions. Here, innovation isn't just about creating another gadget; it's about making health care data accessible whenever and wherever people need it — safely and reliably.

If you're passionate about driving change and looking for a place to make an impact, this is the place to be. It's an opportunity to do your life's best work.

About the Role

One Analytic Engineer will be responsible for creating, developing, and maintaining Payment Integrity product delivery and CAP analytic products to support the Audit Pick Project.

##### Responsibilities

Design and implement scalable and secure system and data architectures leveraging Azure, AWS, and Hadoop ecosystems.

Develop architecture blueprints for large-scale data integration, processing, and analytics pipelines.

Define cloud and big data strategy, including data modeling, ETL workflows, and integration with enterprise tools.

Provide architectural guidance on Spark, Kafka, Hive, and related big data frameworks for batch and streaming workloads.

Oversee development and deployment of applications across hybrid environments (Azure Databricks, AWS EMR).

Collaborate with cross-functional teams to translate business requirements into technical architecture.

Ensure compliance with performance, scalability, and data security standards (HIPAA, SOC2).

Mentor engineering teams on architectural best practices and technology adoption.

##### Skills

Must have

Required Qualifications

Azure | AWS | Hadoop | Spark | Kafka | Databricks | Hive | Scala | Python | Java | SQL | DevOps (Git, Jenkins, Ansible, Docker)

Mandatory Skills Description:

Azure & AWS: Proven experience in designing cloud-native solutions, including Azure Databricks, Azure Data Factory, EC2, S3, RDS, and related services.

Hadoop & Big Data: Expertise in Hadoop ecosystem (HDFS, Hive, Spark, Kafka, Oozie, NiFi) for large-scale data processing and architecture design.

Programming Languages: Strong command of Scala, Python, and Java for application development, Spark jobs, and custom UDFs.

DevOps Tools: Hands-on experience with CI/CD pipelines using Jenkins, GitHub, Ansible, and Docker for automated deployments.

Data Architecture & Modeling: Deep understanding of ETL workflows, data modeling, schema design, and data migration strategies.

Nice to have

Nice-to-Have Skills Description:

Experience with Cassandra, HBase, and NoSQL data modeling.

Familiarity with Machine Learning model deployment using Databricks and PySpark.

Knowledge of BI tools such as Tableau and Splunk for dashboarding and monitoring.

Experience implementing security frameworks and compliance in cloud-based environments.

Exposure to OLAP systems, performance optimization, and large dataset management.

Exceptional communication skills.

Ability to deliver exceptional customer service with a positive attitude.

##### Other

Languages

English: C1 Advanced

Seniority

Senior

Remote United States, United States of America

Req. VR-120208

DevOps

HLS & Consumer industry

14/01/2026

Req. VR-120208