Junior Data Engineer (ETL/ELT Pipeline Development)

Tech Consulting • United State

Relocation

Apply Now

AI Summary

Design, develop, and maintain scalable data pipelines and ETL/ELT workflows for enterprise data platforms. Collaborate with cross-functional teams to build, optimize, and monitor cloud-based data solutions while ensuring data quality and governance. Requires 1–4 years of experience in software development/data engineering with strong SQL, Python, and cloud exposure.

Key Highlights

Build and optimize scalable data pipelines, ETL/ELT workflows, and cloud-based data solutions

Collaborate with data scientists, analysts, and engineers to deliver data-driven insights

Monitor, troubleshoot, and enhance performance of data infrastructure

Key Responsibilities

Design, develop, and maintain scalable data pipelines and ETL/ELT workflows

Collect, transform, validate, and load data from multiple sources into enterprise data platforms

Write efficient SQL queries to extract, manipulate, and analyze large datasets

Assist in building and optimizing data warehouses and cloud-based data solutions

Support data integration, data quality, and data governance initiatives

Collaborate with data scientists, analysts, and software engineers to deliver data-driven solutions

Monitor data pipelines, troubleshoot issues, and optimize performance

Follow software development best practices, including version control and Agile methodologies

Looking to advance your Data Science career with relocation support? Explore Data Science Jobs with Relocation Packages that include comprehensive packages to help you move and settle in your new role.

Technical Skills Required

SQL Python Cloud Platforms (AWS/Azure/GCP)

Benefits & Perks

Paid relocation for training program in Atlanta, GA

Relocation assistance for client engagements across the United States

Discover our full range of relocation jobs with comprehensive support packages to help you relocate and settle in your new location.

Nice to Have

Experience with Apache Spark, Hadoop, Kafka, Hive, Airflow, or Snowflake

Internship, academic, or personal projects involving data engineering, ETL, SQL, or cloud technologies

Knowledge of Linux, scripting, or automation tools

Experience using Git or other version control systems

Understanding of Agile/Scrum development methodologies

Job Description

Job Title: Junior Data Engineer

Employment Type: Full-Time (W2)

Candidate must be open to relocate.

This opportunity is ideal for recent graduates and early-career IT professionals who are passionate about data engineering, cloud technologies, and big data solutions.

Responsibilities

Want the full job description? Read the complete details on LinkedIn, the original posting.

Continue on LinkedIn

This is a short excerpt. All rights to the full description belong to its original publisher.