DXC Technology Data Engineer interview questions & guide 2026

The questions you will face during the DXC Technology hiring process are designed to evaluate your practical technical capabilities, your architectural decision-making, and your ability to deliver project-ready solutions. These questions are compiled from real interview experiences of candidates who have gone through the data engineering pipeline. Use them to understand the core patterns of evaluation rather than simply memorizing answers.

SQL & Data Manipulation

Because SQL is the bedrock of any data engineering initiative, expect rigorous testing on your ability to query, join, and optimize complex datasets under time constraints.

• Write a SQL query to find the second-highest salary from an employee table, and explain how you would optimize it for a table with millions of rows.
• Explain the difference between window functions like ROW_NUMBER(), RANK(), and DENSE_RANK(), and provide a scenario where you would choose one over the others.

Preparing for an interview at DXC Technology requires a balanced approach. You must demonstrate deep technical mastery while also showcasing the consultative, client-ready communication style that makes a consultant successful in front of enterprise clients.

The hiring team evaluates candidates across several core criteria:

Technical Proficiency – This is your ability to write clean, optimized code (primarily SQL and Python/Scala) and design robust data architectures. Interviewers will assess your understanding of data modeling, data warehousing concepts, and cloud infrastructure.

Problem-Solving & Adaptability – You will be evaluated on how you approach ambiguous technical challenges. Since you may be deployed directly to client projects, you must show that you can analyze a problem, weigh the trade-offs of different solutions, and adapt when project requirements shift.

Client Readiness & Communication – As a Data Engineer, you are often the bridge between raw data systems and business stakeholders. You must be able to explain complex technical architectures in simple, business-friendly terms and demonstrate strong stakeholder management skills.

Delivery & Execution – DXC Technology values engineers who focus on production-grade reliability. This means demonstrating an understanding of testing methodologies, monitoring, CI/CD pipelines, and data quality assurance.

The interview process at DXC Technology is structured to verify your immediate readiness for project deployment. Because the company operates globally and serves diverse enterprise clients, the exact sequence of steps can vary slightly by region and team, but it consistently emphasizes technical rigor and client alignment.

Typically, the process begins with a recruiter screen or a direct technical assessment. In several European and Asian offices, candidates start with a proctored SQL coding challenge, often conducted with cameras on to ensure integrity. Following this initial filter, you will proceed to multiple rounds of technical interviews. These rounds focus heavily on your core data engineering skills, including live coding, system design discussions, and deep dives into your past projects.

A distinctive feature of the DXC Technology hiring pipeline is the potential for a client-side technical interview. Because DXC Technology aims to deploy engineers directly to active client projects upon hiring, a representative from the client team may conduct a final technical round. This is highly advantageous for candidates, as it allows you to understand the exact project architecture, tech stack, and team culture before officially accepting an offer.

The timeline above outlines the typical progression from the initial application to the final offer stage. You should use this visual roadmap to pace your preparation, ensuring your core SQL and coding skills are sharp for the early stages, while reserving time to practice architectural design and behavioral scenarios for the later rounds.

To succeed in the DXC Technology technical rounds, you must understand the specific competencies your interviewers are looking for. The evaluation is divided into distinct focus areas that mirror the daily demands of the role.

SQL and Data Querying

SQL is highly prioritized across all data engineering roles at DXC Technology. You are expected to write syntactically correct, highly performant queries under pressure, often during live coding or proctored assessments.

Be ready to go over:

• Complex Joins and Aggregations – Understanding how to combine multiple tables efficiently, handle missing data, and perform multi-level aggregations.

As a Data Engineer at DXC Technology, your day-to-day responsibilities are centered around building reliable data foundations that drive business value. You will operate at the intersection of software engineering, data warehousing, and business intelligence.

Your primary responsibilities will include:

• Designing, constructing, installing, testing, and maintaining highly scalable data management systems and pipelines.
• Developing batch and real-time analytical products and data feeds to support business intelligence and data science initiatives.
• Collaborating closely with business analysts, data scientists, and client stakeholders to understand data needs and deliver optimized data models.
• Ensuring compliance with data governance, security policies, and data quality standards across all pipelines and storage systems.
• Monitoring system performance, troubleshooting pipeline failures, and implementing automated recovery processes to minimize downtime.
• Leading or contributing to cloud migration efforts, moving legacy on-premise databases and ETL workflows to modern cloud platforms.

Ultimately, your goal is to deliver clean, structured, and easily accessible data that empowers organizations to make data-driven decisions with confidence.

To be competitive for the Data Engineer position, you must possess a strong blend of technical expertise, practical project experience, and consulting aptitude.

Must-Have Skills

• Strong SQL Proficiency – Mastery of advanced SQL querying, performance tuning, and database design.
• Hands-on ETL/ELT Experience – Proven experience building and orchestrating data pipelines using tools such as Apache Airflow, Talend, Informatica, or cloud-native tools (e.g., AWS Glue, Azure Data Factory).
• Cloud Data Platforms – Practical experience working with major cloud platforms (AWS, Azure, or GCP) and cloud data warehouses (Snowflake, Redshift, or BigQuery).
• Data Modeling – Deep understanding of relational database design, dimensional modeling, and data warehousing concepts.
• Programming Skills – Proficiency in at least one programming language commonly used in data engineering, such as Python, Scala, or Java.

Nice-to-Have Skills

• Big Data Technologies – Experience with distributed computing frameworks like Apache Spark, Hadoop, or Databricks.
• BI Tool Integration – Familiarity with connecting data models to business intelligence tools like Power BI, Tableau, or QlikSense.
• DevOps for Data – Understanding of CI/CD pipelines, Git version control, and infrastructure as code (IaC) tools like Terraform.

Q: How difficult is the Data Engineer interview process at DXC Technology? A: The difficulty is generally rated as average to challenging. The technical rounds are highly practical, focusing on core SQL, ETL concepts, and real-world scenarios. If you have a solid foundation in database design and hands-on pipeline experience, you will find the technical expectations reasonable.

Q: What is the significance of the client-side interview round? A: Because DXC Technology is an IT services provider, many roles require direct deployment to client projects. The client-side round allows the client's technical team to verify that your skills align with their specific project architecture. It also ensures that when you join, there is no "bench time"—you deploy directly to the active project.

Q: How long does the entire hiring process typically take? A: The timeline can vary. In some instances, candidates complete multiple technical rounds and HR interviews within a single week. In other cases, particularly when coordinating with client schedules, there may be a gap of several weeks between the initial technical rounds and the final client evaluation.

Q: Does DXC Technology support remote or hybrid working arrangements? A: Yes, DXC Technology offers hybrid and remote working models depending on the specific client requirements and the location of the hiring team. However, because you are supporting enterprise clients, you must be flexible to align with the client’s operational hours and collaboration preferences.

To maximize your chances of success during the DXC Technology interview process, keep these practical tips in mind:

• Master the SQL Fundamentals: Do not skip the basics. Practice writing SQL queries by hand or on a whiteboard. Be ready for proctored coding assessments where you cannot rely on IDE auto-complete or external search engines.
• Highlight Your Consulting Mindset: During behavioral and scenario-based questions, emphasize how you communicate technical risks to clients, manage changing requirements, and deliver projects on schedule.
• Be Ready for Architecture Discussions: Be prepared to sketch out and explain the architecture of a data pipeline you built in a previous role. Know why you made specific technology choices (e.g., choosing Snowflake over Redshift, or Airflow over a simple cron job).

• Showcase Cloud Adaptability: Since DXC Technology works with a wide array of clients, having a broad understanding of multiple cloud providers (AWS, Azure, GCP) and how they integrate is highly beneficial, even if your deep expertise is in just one.

The Data Engineer position at DXC Technology offers an exceptional opportunity to work at the forefront of enterprise digital transformation. By designing robust data pipelines, modernizing legacy systems, and working directly with major global clients, you will build a highly versatile technical and consulting skill set. The role demands technical precision, adaptability, and strong communication, making it both challenging and highly rewarding.

As you prepare, focus your energy on solidifying your SQL capabilities, mastering dimensional data modeling, and practicing how you structure architectural discussions. Remember to frame your experience through a consultative lens—highlighting not just what you built, but how it solved a specific business challenge for your stakeholders.

The salary range shown above reflects compensation for senior-level data engineering roles, such as the BI Lead Data Engineering position in high-cost-of-living regions. Your specific offer will depend on your geographic location, years of experience, and technical depth. Use this data to guide your compensation expectations during the HR discussions.

To further refine your preparation, access additional real-world interview reviews, coding challenges, and detailed company profiles on Dataford. With focused preparation and a clear understanding of the consulting landscape, you are well-positioned to succeed in your upcoming interviews at DXC Technology.