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Data Engineer (Java / Snowflake / DataStage / Python

SLG Millennium Group, LLC
United States
8 days ago
Apply on www.dice.com
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Role details

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

Tech stack

Java (Programming Language) Artificial Intelligence Information Engineering Data Systems IBM InfoSphere DataStage Python (Programming Language) Enterprise Data Management Snowflake Apache Kafka Data Pipelines

Job description

  • Design, develop, and support scalable data engineering solutions.
  • Build and maintain data pipelines and integrations using modern data technologies.
  • Develop solutions leveraging Java, Python, Snowflake, and DataStage.
  • Support cross-channel customer interaction and analytics initiatives.
  • Collaborate with business stakeholders, architects, and engineering teams.
  • Contribute to AI/ML-related initiatives and advanced analytics solutions.
  • Support end-to-end solution development, implementation, and adoption.
  • Ensure alignment with enterprise architecture and strategic technology direction.

Requirements

  • Strong Data Engineering experience
  • Java
  • Snowflake
  • IBM DataStage
  • Python
  • Full Stack Development experience
  • Experience designing and supporting enterprise data solutions

Preferred Skills

  • Kafka
  • AI/ML experience
  • Advanced Analytics experience
  • Experience working with large enterprise data environments

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

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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

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Introduction to Apache Kafka benchmarking and performance analysis

Kirill Kulikov · LIVE

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

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World Congress 2024 • about 2 years ago

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World Congress 2026 Europe • about 1 month ago

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