What is a Data Engineer at Evernorth?
As a Data Engineer at Evernorth, you will play a pivotal role in shaping the company's data strategy, which underpins various operational and strategic initiatives. This role is essential for transforming raw data into actionable insights, driving both the performance of our healthcare solutions and enhancing the user experience for millions of customers. By building and maintaining robust data pipelines, you ensure that our teams can access the data they need to make informed decisions, ultimately improving outcomes in the healthcare sector.
In this dynamic environment, you will work closely with cross-functional teams, including data scientists, analysts, and product managers, to support a range of projects—from optimizing existing data infrastructure to implementing new technologies that facilitate advanced analytics. The complexity and scale of the data you handle are considerable, providing you with unique opportunities to innovate and influence how we leverage data across the organization. Your contributions will directly impact the effectiveness of our healthcare services, making this role not only critical but also deeply rewarding.
Common Interview Questions
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Curated questions for Evernorth from real interviews. Click any question to practice and review the answer.
Design a batch ETL pipeline that detects, imputes, and monitors missing values before loading analytics tables with daily SLA compliance.
Design a batch data pipeline with quality gates, quarantine handling, and monitored reprocessing for 120M finance records per day.
Design Terraform-based infrastructure as code for AWS data pipelines with reusable modules, secure state management, CI/CD, and drift control.
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Sign up freeAlready have an account? Sign inGetting Ready for Your Interviews
Preparation is key to performing well in your interviews at Evernorth. You should focus on understanding both the technical competencies required for the Data Engineer role and the cultural values that drive the company.
Role-related knowledge – This criterion assesses your expertise in data engineering technologies and methodologies. Interviewers will evaluate your proficiency in SQL, data modeling, and familiarity with ETL tools. Strengthen your application by discussing specific projects where you successfully applied these skills.
Problem-solving ability – Your approach to challenges will be scrutinized. Demonstrate your analytical thinking by sharing examples of how you've tackled complex data issues in the past, including the steps you took to arrive at a solution.
Culture fit / values – Aligning with Evernorth’s core values is crucial. Interviewers will be keen to understand how you collaborate with others and adapt to an evolving work environment. Highlight experiences that showcase your teamwork and communication skills.
Interview Process Overview
The interview process at Evernorth for the Data Engineer role typically consists of multiple stages, starting with an initial screening call followed by technical interviews that assess your domain knowledge and problem-solving skills. Candidates often report a somewhat disjointed experience, with rescheduling of interview slots and varying levels of engagement from interviewers. However, the process is designed to evaluate both your technical capabilities and how well you fit within the company culture.
Interviewers may focus on both behavioral and technical aspects but have been noted to sometimes ask unrelated questions, leading to confusion about the assessment criteria. It's important to remain adaptable and clear about your experiences during the discussions.
