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Jr Data Engineer

SLG Millennium Group, LLC
United States
6 days ago
Apply on www.dice.com
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Starter
Experience required
2 years minimum
Working hours
Regular working hours
Job source
www.dice.com

Tech stack

Cloud Database Databases Information Engineering Data Integration Data Systems Data Warehousing Relational Databases Python (Programming Language) Cloud Services SQL Databases Snowflake

Job description

  • Support the design, development, and maintenance of data solutions.
  • Assist with data warehouse and cloud data initiatives.
  • Work with structured data, databases, and data integration processes.
  • Collaborate with engineering and business teams to ensure data accuracy and accessibility.
  • Participate in developing data models and supporting data workflows.

Requirements

We are seeking a Junior Data Engineer with experience in data engineering, Snowflake, and Python. The ideal candidate will understand Data Warehousing concepts and Data Cloud solutions and be eager to grow within a collaborative enterprise data environment., * 2-3 years of Data Engineering experience.

  • Experience with Snowflake.
  • Experience with Python.
  • Understanding of Data Warehousing concepts.
  • Knowledge of Data Cloud solutions., * SQL and relational database knowledge.
  • Strong analytical and problem-solving skills.
  • Ability to communicate technical concepts to both technical and non-technical audiences.
  • Experience working in a team-oriented environment.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.dice.com
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

Moments

Explore playlists

3:04 min

Database evolution and the funding behind vector databases

Erik Bamberg · LIVE

1:33 min

Integrating internal APIs and maintaining data sovereignty

Mahran Meißner Mahran Meißner · World Congress 2026 Europe

2:37 min

Classifying and anonymizing data during system design

Reto Kaeser · LIVE

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

2:46 min

Transforming data architecture from on-premise to cloud

Sandhya Menon Sandhya Menon · World Congress 2026 Europe

4:01 min

Managing application isolation via pluggable database models

Wei Hu Wei Hu · World Congress 2022

Videos

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From Messy Queries to Scalable Systems - How Data Engineering actually works thumbnail
31:15
World Congress 2026 Europe • about 1 month ago

From Messy Queries to Scalable Systems - How Data Engineering actually works

Sandhya Menon

How Cisco embraced a DevOps culture within its network engineering team thumbnail
39:38
LIVE • over 5 years ago

How Cisco embraced a DevOps culture within its network engineering team

Stuart Clark

Kubernetes and Microservices with Multi-Model Databases thumbnail
29:30
World Congress 2022 • about 4 years ago

Kubernetes and Microservices with Multi-Model Databases

Wei Hu

Modern Data Architectures need Software Engineering thumbnail
29:25
World Congress 2024 • almost 2 years ago

Modern Data Architectures need Software Engineering

Matthias Niehoff

The Data Mesh as the end of the Datalake as we know it thumbnail
37:21
LIVE • about 5 years ago

The Data Mesh as the end of the Datalake as we know it

Mario Meir-Huber

Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases thumbnail
32:46
World Congress 2024 • almost 2 years ago

Fault Tolerance and Consistency at Scale: Harnessing the Power of Distributed SQL Databases

Wei Hu

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