Data Engineering Consultant
Job Title: Data Engineering Consultant
Location: Hybrid - Bedminster, NJ
Job Type: Full-Time
About SDG Group
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.
Position Overview
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.
Key Responsibilities
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.
Qualifications
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.
What We Offer
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.