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Data Engineer - Local to Plano, TX ( ONLY W2)

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

Contract Independent

Contract W2

12 Months

No Travel Required

On-site

Depends on Experience

Fitment

Dice Job Match Score™

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Job Details

Skills

Data Engineering
Data Wrangling
Data Lake
Data Warehouse
Data Governance
ELT
Microsoft Power BI
Relational Databases
PySpark
NoSQL
SQL
Azure Databricks
Azure Data Bricks
Python
Power BI
PowerBI
Azure Data Factory
data modelling
Azure Data Lake
One Lake
Delta Tables
data warehouse architectures
datawarehouse architectures
Continuous Integration
Continuous Delivery
Apache Spark
Databricks
Microsoft Azure

Summary

Job Title: Data Engineer

Key Skills: Power BI, Azure Data Bricks, Python

Plano, TX- In person only no remote

Job Summary: We are seeking a Data Engineer with strong experience with data wrangling and building enterprise data pipelines including ingestion, transformation and management.

Responsibilities:

Design, develop, and maintain end-to-end data pipelines using data ingestion tools and Azure Databricks
Implement scalable data ingestion frameworks (batch and incremental) from diverse data sources (APIs, databases, files, cloud storage)
Build and optimize data transformation logic using Spark (Databricks), SQL, and Python
Develop and maintain data models supporting analytics, reporting, and machine learning use cases
Collaborate with analytics teams to enable Power BI datasets and reporting solutions
Ensure data quality, reliability, and consistency through validation frameworks and monitoring
Optimize performance of pipelines, storage, and compute resources in Azure
Implement data governance practices, including lineage, cataloging, and documentation
Support CI/CD deployment pipelines for data engineering workflows

Minimum Qualifications

5+ years of experience in Data Engineering roles
Strong hands-on experience with data ingestion / ETL / ELT tools like Azure Data Factory and data modelling
Proficient in using Azure Databricks (PySpark/Spark SQL) and medallion architecture
Experience with other SQL databases, relational databases and NoSQL databases
Understanding of data lake and data warehouse architectures (e.g., Azure Data Lake, One Lake, Delta Tables) Experience working with large-scale structured and semi-structured datasets
Ability to work with cross-functional teams and translate business requirements into technical solutions

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: 10196450
Position Id: KS_DATAENGG2_TX
Posted 1 hour ago

Contact the job poster

Kailash Sharma

Recruiter @ Maven Companies

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