Overview
On Site
90k - 100k
Full Time
Skills
Cloud Computing
Big Data
Collaboration
Innovation
Data Engineering
Python
SQL
Data Processing
Extract
Transform
Load
Apache Airflow
Apache Spark
Amazon Web Services
Microsoft Azure
Google Cloud
Google Cloud Platform
Data Warehouse
Database Design
Docker
Kubernetes
Apache Hadoop
Apache Kafka
Amazon Redshift
Data Modeling
DevOps
Continuous Integration
Continuous Delivery
Machine Learning (ML)
Machine Learning Operations (ML Ops)
Analytics
Workflow
Writing
Data Architecture
Storage
Data Quality
Accessibility
Decision-making
Health Insurance
Professional Development
SAP BASIS
Job Details
A forward-thinking company is seeking a Data Engineer to join their dynamic team. This full-time role offers the opportunity to design, build, and optimize data pipelines that power critical business insights and analytics. If you're passionate about working with cloud technologies, big data tools, and scalable systems, this is your chance to make a real impact.
You'll collaborate with data scientists, analysts, and software engineers to develop robust data solutions that drive efficiency and innovation across the organization. This is an excellent opportunity for someone who enjoys solving complex data problems and wants to grow their career in a fast-paced, tech-focused environment. Required Skills & Experience
3+ years experience in data engineering or related fields
Proficiency with Python and SQL for data processing and ETL tasks
Experience in Apache Airflow, Spark, or similar
AWS, Azure, or Google Cloud Platform
Strong knowledge of data warehousing concepts and database design
Ability to work cross-functionally and communicate technical concepts clearly Desired Skills & Experience
Docker, Kubernetes
Hadoop, Kafka, Redshift
Data modeling, schema design
DevOps, CI/CD pipelines
Machine learning pipelines, MLOps What You Will Be Doing
Tech Breakdown
50% Designing and building scalable data pipelines
30% Collaborating with analytics and engineering teams
20% Monitoring, optimizing, and troubleshooting data workflows
Daily Responsibilities
Writing clean, efficient code to extract, transform, and load data
Developing data architecture and storage solutions
Ensuring data quality, reliability, and accessibility
Supporting data-driven decision making across business units The Offer
Competitive salary based on experience
Comprehensive benefits package including health insurance and paid time off
Opportunities for career growth and professional development
Collaborative and innovative work environment Applicants must be authorized to work in the U.S. on a full-time basis.
You'll collaborate with data scientists, analysts, and software engineers to develop robust data solutions that drive efficiency and innovation across the organization. This is an excellent opportunity for someone who enjoys solving complex data problems and wants to grow their career in a fast-paced, tech-focused environment. Required Skills & Experience
3+ years experience in data engineering or related fields
Proficiency with Python and SQL for data processing and ETL tasks
Experience in Apache Airflow, Spark, or similar
AWS, Azure, or Google Cloud Platform
Strong knowledge of data warehousing concepts and database design
Ability to work cross-functionally and communicate technical concepts clearly Desired Skills & Experience
Docker, Kubernetes
Hadoop, Kafka, Redshift
Data modeling, schema design
DevOps, CI/CD pipelines
Machine learning pipelines, MLOps What You Will Be Doing
Tech Breakdown
50% Designing and building scalable data pipelines
30% Collaborating with analytics and engineering teams
20% Monitoring, optimizing, and troubleshooting data workflows
Daily Responsibilities
Writing clean, efficient code to extract, transform, and load data
Developing data architecture and storage solutions
Ensuring data quality, reliability, and accessibility
Supporting data-driven decision making across business units The Offer
Competitive salary based on experience
Comprehensive benefits package including health insurance and paid time off
Opportunities for career growth and professional development
Collaborative and innovative work environment Applicants must be authorized to work in the U.S. on a full-time basis.
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.