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Data Engineering Consultant; Snowflake

Remote / Online - Candidates ideally in
Bedminster, Somerset County, New Jersey, 07921, USA
Listing for: SDG Group
Full Time, Remote/Work from Home position
Listed on 2026-01-06
Job specializations:
  • IT/Tech
    Data Engineer, Cloud Computing
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Position: Data Engineering Consultant (Snowflake)
Location: Bedminster

About SDG Group

Since 1994, SDG Group has been a trusted partner to global organizations, helping them unlock the strategic value of their data. As a rapidly growing global management consulting firm specializing in Data & Analytics, we partner with leading technology companies like Snowflake to drive innovative solutions that enable the world’s largest companies to improve their decision-making processes.

Position Overview

As a Senior Cloud Data Engineer, you will take a lead technical role in driving data-driven transformation for our clients, with a specialized focus on the Snowflake Data Cloud
. You will architect, build, and optimize scalable and performant data solutions, working closely with clients to translate their business needs into cutting-edge cloud data platforms. A key part of your role will be mentoring junior engineers, guiding them through technical challenges, and establishing best practices for cloud data engineering.

Key Responsibilities
  • Cloud Data Architecture: Lead the design and implementation of end-to-end cloud data solutions on Snowflake
    , including data models, infrastructure, ETL/ELT pipelines, and data integration strategies.
  • Technical Execution: Develop and maintain robust data pipelines using SQL, Python, and modern data integration tools (e.g., Matillion, Fivetran, dbt). Implement Snowflake best practices for performance tuning, cost optimization, and security.
  • Client

    Collaboration:

    Work closely with clients to understand technical requirements, provide expert guidance on cloud data architecture, and deliver tailored solutions that meet their specific business needs.
  • Data Modeling & Warehousing: Implement effective data modeling principles (e.g., Kimball, Inmon, Data Vault) within the Snowflake environment to support analytics and BI requirements.
  • Team Mentorship: Oversee technical training efforts and mentor junior engineers, promoting best practices in cloud data engineering and fostering team growth.
  • Innovation: Stay ahead of industry trends in cloud data warehousing and the Snowflake ecosystem, advocating for and implementing new technologies and methodologies to enhance client solutions.
Qualifications
  • Professional

    Experience:

    A minimum of 5 years' experience in data engineering, data warehousing, or cloud platform development. Previous experience in a consulting firm is highly desirable.
  • Snowflake Expertise: Deep, hands-on experience with the Snowflake Data Cloud
    , including virtual warehouses, data sharing, Snowpipe, streams, and performance optimization. Snowflake certification is a strong plus.
  • Cloud Proficiency: Proven experience with a major cloud provider (
    AWS, Azure, or GCP
    ), including services related to storage, compute, and security (e.g., S3, Blob, IAM).
  • Technical

    Skills:

    Expert-level SQL skills and proficiency in a scripting language like Python
    . Experience with modern ETL/ELT and data transformation tools (e.g., Matillion, Fivetran, dbt, Airflow).
  • Data Modeling: Strong knowledge of data modeling principles and their application in large-scale data warehouse environments.
  • Consulting

    Skills:

    Excellent communication, analytical, and business-oriented skills with a proactive and participative attitude.
What We Offer
  • Stability and Growth: Full-time employment in a growing high-tech industry with a meritocratic culture that provides rapid career advancement and regular salary reviews.
  • Competitive Compensation: A competitive salary and a 401(k) retirement plan with an 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 welcoming, collaborative environment where you’ll learn from exceptional professionals who will mentor you and celebrate your achievements.
  • Focus on Technology: Receive continuous training to work with the latest tools and technologies, supported by our partnerships with top technology providers.
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