Software Engineering Senior Analyst - HIH - Evernorth

Position Overview

The job profile for this position is Software Engineering Developer – Senior Analyst, which is a Band 3+ Contributor Career Track Role.

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We value our talented employees, and whenever possible strive to help one of our associates grow professionally before recruiting new talent to our open positions. If you think the open position you see is right for you, we encourage you to apply!

Our people make all the difference in our success. Join our dynamic team as a Data Engineering Developer Senior Analyst, where you'll leverage your expertise in cutting-edge technologies to drive innovation and strategic influence. As a key contributor, you'll design, build, test, and deliver large-scale software applications and platforms, collaborating closely with IT and business teams to own and drive major deliverables. You'll automate processes using Databricks and Azure, and work in a team that values innovation, cloud-first, self-service-first, and automation-first mindsets.

You’ll need to demonstrate strong analytical and technical skills to positively influence data engineering product delivery. Engage with internal and external stakeholders to build solutions as part of Enterprise Data Engineering. Your proven domain expertise and exceptional problem-solving skills will be crucial in understanding technical concepts, addressing business issues, and breaking down large problems into manageable ones.

Responsibilities

• The candidate will be responsible to deliver business needs end to end from requirements to development into production.
• Through hands-on engineering approach in Databricks environment, this individual will deliver data engineering toolchains, platform capabilities, and reusable patterns.
• The applicant will be responsible to follow software engineering best practices with an automation first approach and continuous learning and improvement mindset.
• The applicant will ensure adherence to enterprise architecture direction and architectural standards.
• The applicant should be able to collaborate in a high-performing team environment, and an ability to influence and be influenced by others.

Qualifications

Required Skills:

• Cloud-based security principles and protocols like OAuth2, JWT, data encryption, hashing data, secret management, etc.
• Expertise in Big data technologies such as Spark, Hadoop,
• Databricks, Snowflake, EMR, Azure Data Factory
• Good understanding of Kafka, Kafka Streams, Spark
• Structured streaming, configuration-driven data transformation and curation
• Expertise in building cloud-native microservices, containers, Kubernetes and platform-as-a-service technologies such as OpenShift, CloudFoundry
• Experience in multi-cloud software-as-a-service products such as Databricks, Snowflake
• Experience in Infrastructure-as-Code (IaC) tools such as terraform
• Experience in messaging systems such as Apache ActiveMQ, WebSphere MQ, Apache Artemis, Kafka, Azure Service Bus
• Experience in API and microservices stack such as Spring Boot, Quarkus,
• Expertise in Cloud technologies such as Azure Data Factory, Lambda, S3, Elastic Search, API Gateway, CloudFront
• Experience with one or more of the following programming and scripting languages – Python, Scala, JVM-based languages, or JavaScript, and ability to pick up new languages
• Experience in building CI/CD pipelines using Jenkins, Github Actions, Azure DevOps
• Strong expertise with source code management and its best practices
• Proficient in self-testing of applications, unit testing and use of mock frameworks, test-driven development (TDD)
• Knowledge on Behavioural Driven Development (BDD) approach
• Ability to perform detailed analysis of business problems and technical environments
• Strong oral and written communication skills
• Ability to think strategically, implement iteratively and estimate financial impact of design/architecture alternatives
• Continuous focus on an on-going learning and development
• Expertise in Agile software development principles and patterns
• Expertise in building streaming, batch and event-driven architectures and data pipelines

Required Experience & Education:

• 3 to 5 years of experience in software engineering, building data engineering pipelines, middleware and API development and automation
• More than 1 years of experience in Databricks within an Azure environment
• Data Engineering experience
• Bachelor's degree in Statistics, Mathematics, Computer Science, Economics, or a related field. Master's degree preferred.

Location & Hours of Work

• (Specify whether the position is remote, hybrid, in-office and where the role is located as well as the required hours of work)

Equal Opportunity Statement

Evernorth is an Equal Opportunity Employer actively encouraging and supporting organization-wide involvement of staff in diversity, equity, and inclusion efforts to educate, inform and advance both internal practices and external work with diverse client populations.

About Evernorth Health Services