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Data Engineer with AI

Dallas, TX, US • Posted 6 days ago • Updated 1 hour ago

Contract W2

Contract Independent

12 Months

No Travel Required

On-site

Depends on Experience

Fitment

Dice Job Match Score™

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Job Details

Skills

ADF
Amazon Web Services
Analytical Skill
Apache Spark
Artificial Intelligence
Cloud Computing
Collaboration
Conflict Resolution
Continuous Delivery
Continuous Integration
Data Engineering
Data Processing
Data Quality
Data Warehouse
Databricks
DevOps
ELT
Extract
Transform
Load
Generative Artificial Intelligence (AI)
Git
Good Clinical Practice
Google Cloud Platform
Machine Learning (ML)
Management
Microsoft Azure
Orchestration
Problem Solving
PySpark
Python
SQL
Snow Flake Schema
Unstructured Data
Vector Databases
Workflow

ADF
Amazon Web Services
Analytical Skill
Apache Spark
Artificial Intelligence
Cloud Computing
Collaboration
Conflict Resolution
Continuous Delivery
Continuous Integration
Data Engineering
Data Processing
Data Quality
Data Warehouse
Databricks
DevOps
ELT
Extract
Transform
Load
Generative Artificial Intelligence (AI)
Git
Good Clinical Practice
Google Cloud Platform
Machine Learning (ML)
Management
Microsoft Azure
Orchestration
Problem Solving
PySpark
Python
SQL
Snow Flake Schema
Unstructured Data
Vector Databases
Workflow

Summary

Hi,

We do have an urgent requirement for the below position with our direct client, Please submit Resume, Rate and Contact details.

Job Title: Data Engineer with AI

Location: Dallas, TX

Duration: Long Term

Job Summary

We are seeking a Data Engineer with AI having 5+ years of experience in designing, building, and maintaining scalable data pipelines while supporting AI/ML and Generative AI solutions. The ideal candidate should have strong expertise in data engineering, cloud platforms, Python, SQL, and modern AI technologies.

Required Skills:

8+ years of experience in Data Engineering.
Strong proficiency in Python and SQL.
Experience with Apache Spark or PySpark.
Hands-on experience with ETL/ELT pipelines and workflow orchestration (Airflow, ADF, etc.).
Experience with cloud platforms (Azure, AWS, or Google Cloud Platform).
Strong knowledge of Data Lakes, Data Warehouses, and Snowflake, Databricks, or BigQuery.
Experience integrating AI/ML or Generative AI solutions into data platforms.
Familiarity with LLMs, RAG, Vector Databases, or Azure OpenAI/AWS Bedrock is preferred.
Experience with Git, CI/CD, and DevOps practices.
Excellent analytical and problem-solving skills.

Responsibilities

Design and develop scalable data pipelines for structured and unstructured data.
Build and optimize ETL/ELT workflows for enterprise data platforms.
Support AI/ML and Generative AI applications by preparing and managing high-quality datasets.
Collaborate with data scientists and AI engineers to deploy AI solutions.
Optimize data processing performance using Spark/PySpark.
Ensure data quality, governance, security, and reliability.
Monitor and troubleshoot production data pipelines.

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: 90943978
Position Id: 9046857
Posted 6 days ago

Contact the job poster

Vamsi Krishna

Senior Talent Acquisition Specialist @ SSTech LLC

View Profile

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