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Data Engineer

Hybrid in Carolina Beach, NC, US • Posted 2 days ago • Updated 1 day ago

Contract W2

12 Months

No Travel Required

Hybrid

Depends on Experience

Fitment

Dice Job Match Score™

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Job Details

Skills

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

Summary

Senior Data Engineer

Experience Required: 10+ Years

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.

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.

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).

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.

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: 8998183
Posted 2 days ago

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