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Senior Data Engineer

Hybrid in Plano, TX, US • Posted 6 hours ago • Updated 6 hours ago

Contract W2

12 Months

No Travel Required

Hybrid

Depends on Experience

Fitment

Dice Job Match Score™

👾 Reticulating splines...

Job Details

Skills

Big Data
Data Engineering
Data Governance
Data Marts
Data Modeling
Continuous Delivery
Continuous Integration
Data Architecture
Data Quality
Data Storage
Data Warehouse
Cloud Computing
Collaboration
Computer Science
DevOps
ELT
Extract, Transform, Load
Informatica
Mentorship
Microsoft Azure
Migration
Optimization
Good Clinical Practice
Google Cloud Platform
Python
IT Management
Performance Tuning
PySpark
Regulatory Compliance
Amazon Web Services
Apache Kafka
Apache Spark
Amazon Redshift
Snow Flake Schema
SQL
Streaming
Terraform

Summary

Senior Data Engineer

Location: [Plano, TX]
Experience Required: 10+ Years

< data-start="129" data-end="145">Job Summary

We are looking for a highly experienced Senior Data Engineer to lead the design, development, and optimization of enterprise-scale data platforms and pipelines. The ideal candidate will have extensive experience in cloud-based data solutions, data warehousing, big data technologies, and data architecture.

< data-start="458" data-end="483">Key Responsibilities

Design and implement scalable, high-performance data pipelines and ETL/ELT processes.
Develop and maintain enterprise data lakes, data warehouses, and data marts.
Lead data architecture initiatives and establish best practices for data engineering.
Optimize data storage, processing, and retrieval for large-scale datasets.
Collaborate with Data Scientists, Business Analysts, and stakeholders to deliver data solutions.
Ensure data quality, governance, security, and compliance standards are met.
Mentor junior engineers and provide technical leadership to the data engineering team.
Drive cloud migration and modernization initiatives.

< data-start="1139" data-end="1159">Required Skills

10+ years of experience in Data Engineering or related roles.
Strong expertise in Python, SQL, and PySpark.
Hands-on experience with Apache Spark, Kafka, and data streaming technologies.
Experience with cloud platforms: AWS, Azure, or Google Cloud Platform.
Strong knowledge of data warehousing solutions such as Snowflake, Redshift, or BigQuery.
Experience with ETL/ELT tools such as Airflow, Informatica, or dbt.
Deep understanding of data modeling, performance tuning, and data governance.
Experience with CI/CD, DevOps practices, and Infrastructure as Code (Terraform).

< data-start="1789" data-end="1818">Preferred Qualifications

Bachelor''s or Master''s degree in Computer Science, Engineering, or related field.
Cloud certifications (AWS, Azure, or Google Cloud Platform) preferred.
Experience leading data engineering teams and large-scale data projects.

< data-start="2034" data-end="2055">Key Technologies

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: 10477291
Position Id: 8996810
Posted 6 hours ago

Contact the job poster

Jayesh Tanwar

Recruiter @ Raas Infotek LLC

View Profile

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