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Jr. Data Engineer

PERI - OPERATIVE STAFFING SOLUTIONS, LLC
Plano, TX, United States
26 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
3 years minimum
Working hours
Regular working hours
Job source
www.dice.com

Tech stack

Java (Programming Language) Information Engineering Data Warehousing Relational Databases Python (Programming Language) Cloud Services Standard Sql Extensible Markup Language (XML) Snowflake

Job description

Support Cross Channel Customer Interaction initiatives as a Full Stack Developer with Data Engineering experience. Work with data warehousing and data cloud solutions while supporting the design, structure, maintenance, accuracy, and accessibility of organizational data.

Requirements

  • 2 3 years of Data Engineering experience
  • Snowflake experience
  • Python experience
  • Java experience
  • Understanding of Data Warehousing concepts
  • Understanding of Data Cloud solutions
  • Experience designing, structuring, and maintaining data
  • Experience working with relational databases
  • Strong analytical skills
  • Strong attention to detail
  • Ability to communicate effectively within an IT team
  • Ability to explain complex technical concepts to non-technical staff
  • Experience developing data models and logical workflows
  • Strong visualization skills
  • Creative problem-solving skills

Technical Skills

  • Snowflake
  • Python
  • Java
  • SQL
  • XML
  • Relational Databases
  • Data Warehousing
  • Data Cloud Solutions
  • Data Modeling

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

1:33 min

Integrating internal APIs and maintaining data sovereignty

Mahran Meißner Mahran Meißner · World Congress 2026 Europe

4:06 min

Using ClickHouse as a foundation for fast analytics

Hellmar Becker Hellmar Becker · World Congress 2026 Europe

2:41 min

Transitioning artificial intelligence infrastructure into scalable commodity cloud services

juarezjunior juarezjunior · World Congress 2024

3:09 min

Balancing data science skillings alongside systems engineering rigor

Nico Schmidt · LIVE

2:46 min

Transforming data architecture from on-premise to cloud

Sandhya Menon Sandhya Menon · World Congress 2026 Europe

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

Videos

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30:34
World Congress 2023 • almost 3 years ago

How building an industry DBMS differs from building a research one

Markus Dreseler

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31:15
World Congress 2026 Europe • about 2 months ago

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

Sandhya Menon

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39:58
LIVE • almost 6 years ago

Leverage Cloud Computing Benefits with Serverless Multi-Cloud ML

Linda Mohamed

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

Beyond SQL Generation: How to Teach Agents What Your Database Actually Means thumbnail
12:42
World Congress 2026 Europe • about 2 months ago

Beyond SQL Generation: How to Teach Agents What Your Database Actually Means

Celeste Horgan

Hacking AI at the Edge of the Indian Ocean thumbnail
29:03
World Congress 2026 Europe • about 2 months ago

Hacking AI at the Edge of the Indian Ocean

Anastasiia Stefanska, James Cha-Earley

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