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Data Engineer- Experience with Linux

Plano, TX, US • Posted 1 day ago • Updated 1 day ago

Contract W2

Contract Corp To Corp

No Travel Required

On-site

Depends on Experience

Fitment

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Job Details

Skills

API
Amazon Web Services
Analytical Skill
Apache Hadoop
Apache Spark
Artificial Intelligence
Attention To Detail
Big Data
Cloud Computing
Collaboration
Communication
Conflict Resolution
Data Processing
Data Quality
Data Warehouse
Database Design
Extract
Transform
Load
Good Clinical Practice
Google Cloud Platform
Linux
Machine Learning (ML)
Microsoft Azure
MySQL
Optimization
Oracle
PostgreSQL
Problem Solving
Python
Relational Databases
SQL
Scripting
Shell Scripting
Soft Skills
Unix

Summary

Job Title: Data Engineer
Location: Plano, TX (Onsite)
Interview Mode: Face-to-Face (F2F) Interview Required

Job Summary:

We are looking for a Data Engineer to join our team in Plano, TX. The ideal candidate should have strong experience in Linux environments, scripting, and relational databases. Exposure to cloud platforms and AI/ML concepts will be an added advantage.

Key Responsibilities:

Design, develop, and maintain scalable data pipelines and ETL processes
Work with structured and semi-structured data from multiple sources
Write efficient scripts for data processing, automation, and transformation
Support database design, optimization, and performance tuning
Collaborate with cross-functional teams to support data-driven solutions
Ensure data quality, integrity, and security standards are maintained
Assist in troubleshooting production data issues

Required Skills & Experience:

3 5 years of experience as a Data Engineer or similar role
Strong hands-on experience with Linux/Unix environments
Proficiency in scripting languages (Python, Shell scripting, or similar)
Solid experience with Relational Databases (SQL, PostgreSQL, MySQL, Oracle, etc.)
Strong understanding of SQL queries, joins, performance tuning
Experience with data pipelines / ETL processes
Good analytical and problem-solving skills

Preferred Skills (Good to Have):

Exposure to Cloud platforms (AWS / Azure / Google Cloud Platform)
Basic understanding of Big Data tools (Spark, Hadoop, etc.)
Exposure to AI/ML concepts or data for AI systems
Experience with data warehousing concepts
Familiarity with API integration and data ingestion frameworks

Soft Skills:

Strong communication and collaboration skills
Ability to work in fast-paced environments
Ownership mindset and attention to detail

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: swapps
Position Id: 8951143
Posted 1 day ago

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