Data Engineering Consultant

Job Title: Data Engineering Consultant

Location: Hybrid - Bedminster, NJ

Job Type: Full-Time

SDG Group is a global consulting firm specialized in Data, Analytics & AI. We are committed to unlocking organizations’ potential and hidden value by offering in-depth expertise that empowers our clients’ business models to become successful data-driven enterprises.

Innovation is in our DNA. We constantly evolve our value proposition through cutting-edge laboratories, advanced analytics, and AI technologies — enabling our clients to accelerate their data transformation journeys.

SDG Group operates on a model of Triple Expertise — combining deep industry domain knowledge, technological proficiency, and strategic partnerships with leading software providers such as Snowflake, Matillion, Databricks, and Microsoft.

With proven experience across 700+ clients, we deliver Data & AI solutions tailored to diverse industries. Our unique IP includes over 50 technology accelerators, frameworks, and tools designed to fast-track implementation. We have strong alliances with major AI hyperscalers including Microsoft, Google, and AWS, and are recognized globally as a leader in Data and AI services.

Our AI practice is anchored by Orbitae®, SDG’s agentic AI brand, and INSIGHT GEN®, together with 50+ accelerators and industry agent frameworks that shorten the distance between fragmented enterprise data and deployed, governed AI agents — in the cloud, on-premises, or across hybrid and sovereign environments.

If you’re seeking to join a team fully specialized in Data, Analytics, and AI, we can’t wait to meet you.

As a Data Engineer
, you will play an important role in designing, developing, and delivering modern data solutions for SDG Group’s clients.

Working as part of a consulting delivery team, you will partner with both technical and business stakeholders to understand data requirements and build reliable, scalable solutions that support analytics, reporting, AI, and broader data-driven initiatives.

This role is well suited for someone with a strong foundation in data engineering who enjoys solving complex problems, working directly with clients, and continuing to expand their technical expertise across modern cloud and data platforms.

• Data Engineering & Development: Design, build, test, and maintain scalable data pipelines and data processing solutions that support client analytics and business requirements.
• Data Integration: Integrate data from a variety of structured and unstructured sources using modern ETL/ELT methodologies and data integration tools.
• Data Modeling & Warehousing: Develop and maintain data models and warehouse structures that support reporting, analytics, and downstream applications.
• Cloud Data Solutions: Contribute to the implementation of cloud-based data platforms using technologies across environments such as AWS, Azure, GCP, Snowflake, Databricks, or similar platforms.
• Technical Delivery: Write efficient SQL and code to transform, validate, and manage data while following development, testing, documentation, and deployment best practices.
• Client
  
  Collaboration:
  
  Work directly with clients and internal stakeholders to gather requirements, understand business challenges, communicate technical concepts, and deliver solutions aligned with client needs.
• Data Quality & Performance: Identify opportunities to improve data quality, reliability, scalability, and performance across client data environments.
• Team
  
  Collaboration:
  
  Work closely with data engineers, analysts, architects, data scientists, and business stakeholders throughout the project lifecycle.
• Continuous Learning: Stay current with evolving data engineering technologies, methodologies, and industry…