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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 INSIGHTGEN®, 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 best practices while contributing knowledge and ideas to the broader SDG community.

• Professional Experience: Approximately 3–5+ years of experience in data engineering, data warehousing, data integration, analytics engineering, or a related technical discipline. Experience within consulting or another client-facing environment is a plus.
• Data Engineering Fundamentals: Strong understanding of data pipelines, ETL/ELT processes, data integration, data warehousing, and data transformation concepts.
• SQL & Programming: Strong SQL skills and working proficiency in Python or another relevant programming or scripting language.
• Cloud & Data Platforms: Experience working with at least one modern cloud or data platform, such as AWS, Azure, GCP, Snowflake, Databricks, or comparable technologies.
• Data Integration Tools: Exposure to modern data engineering, orchestration, or transformation tools such as dbt, Matillion, Fivetran, Airflow, Informatica, Azure Data Factory, or similar technologies.
• Data Modeling: Understanding of dimensional modeling and modern data modeling concepts used within analytical environments.
• Problem Solving: Strong analytical skills with the ability to troubleshoot data issues, understand complex requirements, and translate business needs into technical solutions.
• Consulting & Communication Skills: Strong written and verbal communication skills with the ability to collaborate effectively with clients, technical teams, and business stakeholders.
• Growth Mindset: A proactive, collaborative approach and willingness to continuously learn new tools, technologies, and methodologies.

• Stability and Growth: Full-time employment in a growing high-tech industry with a meritocratic culture that supports career advancement and professional development.
• Competitive Compensation: Competitive salary and a 401(k) retirement plan with employer match.
• Comprehensive Benefits: Robust healthcare and benefits package including Medical, Dental, Vision, and Disability coverage.
• Work-Life Balance: 3+ weeks of paid vacation, a flexible holiday schedule, and hybrid working arrangements that balance on-site and remote work.
• Supportive Community: A collaborative environment where you will work alongside experienced professionals, learn from your colleagues, and contribute to meaningful client engagements.
• Focus on Technology: Continuous training and exposure to modern Data, Analytics, and AI technologies, supported by SDG Group’s partnerships with leading technology providers.