Data Engineering - Associate

Build reliable data foundations that help clients turn complex data into trusted, actionable insights.
We are seeking a highly motivated Data Engineering Consulting Associate to join our Data & Analytics practice. In this role, you will help clients design, build, and optimize modern data platforms that enable advanced analytics, reporting, and AI-driven decision-making.
You will work alongside experienced consultants, solution architects, and client stakeholders to deliver end-to-end data engineering solutions across cloud and on-premises environments. This position offers an excellent opportunity to develop both technical expertise and consulting skills while working on large-scale digital transformation initiatives.
What You'll Work On
As an Associate, Data Engineer, you will:
Design, develop, test, and maintain scalable data pipelines and ETL/ELT processes.
Support the implementation of modern data platforms, data lakes, and data warehouses.
Develop data integration solutions using cloud-native and enterprise technologies.
Build and optimize data ingestion frameworks for structured and unstructured data.
Perform data quality validation, transformation, reconciliation, and performance tuning.
Support migration of legacy data environments to modern cloud architectures.
Gather business and technical requirements from client stakeholders.
Translate business needs into practical technical data solutions.
Participate in workshops, design sessions, demonstrations, and project status meetings.
Document technical designs, architecture decisions, operating procedures, and development standards.
Support disciplined project delivery across one or more client workstreams.
Collaborate with business intelligence, analytics, AI, and data science teams to ensure reliable data availability.
Support the development of curated data models for reporting and analytical use cases.
Assist with implementing data governance, security, privacy, and compliance controls.
Identify opportunities to improve platform performance, scalability, reliability, and maintainability.
Stay current on emerging cloud, data engineering, analytics, and AI technologies.
Contribute to internal accelerators, reusable assets, proposals, and knowledge-sharing initiatives.
What You'll Bring
You will likely be successful in this role if you have:
Bachelor's degree in Computer Science, Information Systems, Data Engineering, Engineering, Mathematics, or a related field.
1-3 years of experience in data engineering, data integration, analytics engineering, software engineering, or a related technical role.
Hands-on experience with SQL, relational databases, and ETL/ELT development.
Understanding of data warehousing concepts, dimensional modeling, and data quality practices.
Experience with at least one programming language such as Python, Scala, or Java.
Familiarity with at least one cloud platform such as Microsoft Azure, AWS, or Google Cloud.
Strong analytical, problem-solving, communication, and documentation skills.
Ability to work collaborati