Data Engineer: Hybrid/Remote Cloud Data Pipelines & AI

SDG Group USA; New Jersey; On-site; USD 100,000 - 170,000; Full time

Benefits offered by this job

Hybrid work arrangements

401(k) plan with employer match

Comprehensive healthcare coverage

Career advancement & professional dev.

Collaborative team environment

Job summary

SDG Group USA is seeking a Data Engineer to design, develop, and deliver modern data solutions for clients. You will work with consulting delivery teams, engaging with technical and business stakeholders to build reliable, scalable data pipelines that support analytics, reporting, and AI initiatives.

This role offers collaboration across cloud data platforms such as AWS, Azure, GCP, Snowflake, and Databricks, with a focus on data quality, performance, and continuous learning in a client-facing

Qualifications

• 3–5+ years of data engineering, data warehousing, data integration, or analytics engineering.
• Strong SQL and Python skills.
• Experience with cloud/data platforms (AWS, Azure, GCP, Snowflake, Databricks).
• Familiarity with orchestration/ETL tools such as dbt, Matillion, Fivetran, Airflow.
• Consulting or client-facing experience is a plus.

Responsibilities

• Design, build, and maintain scalable data pipelines.
• Integrate data from diverse sources using ETL/ELT methods.
• Model data and manage data warehouses to support analytics.
• Collaborate with clients and teams to deliver data solutions.
• Ensure data quality and performance across environments.
• Stay current with evolving data engineering technologies.

Skills

SQL

Python

Data pipelines

Data warehousing

Data integration

Cloud platforms

ETL/ELT

Data modeling

Communication

Problem solving

Tools

dbt

Matillion

Fivetran

Airflow

Informatica

Azure Data Factory

Snowflake

Databricks

Job description

SDG Group USA is seeking a Data Engineer to design, develop, and deliver modern data solutions for clients. You will work with consulting delivery teams, engaging with technical and business stakeholders to build reliable, scalable data pipelines that support analytics, reporting, and AI initiatives.

This role offers collaboration across cloud data platforms such as AWS, Azure, GCP, Snowflake, and Databricks, with a focus on data quality, performance, and continuous learning in a client-facing