Overview
On Site
100k - 140k
Full Time
Skills
Recruiting
Analytics
Real-time
Artificial Intelligence
Machine Learning (ML)
Workflow
Data Quality
Collaboration
Data Engineering
Transact-SQL
SQL
NoSQL
Database
Python
Data Processing
Cloud Computing
Microsoft Azure
Amazon Web Services
Data Warehouse
Apache Spark
Streaming
Extract
Transform
Load
ELT
Communication
Job Details
We're passionate about great design but the best thing we build is each other. Here you'll find camaraderie, collaboration, curiosity, and creativity in equal measure. This is a welcoming, supportive environment with room to grow, freedom to explore, and the safety to fail. Thank you for your interest in joining our curious, passionate, hardworking team.
We are actively recruiting a Senior Data Engineer to join our team. You'll work alongside a highly creative, motivated group to design, build, and scale cloud-native data systems that power key strategic initiatives. This role blends modern data engineering with emerging AI/ML, enabling real-time analytics, scalable infrastructure, and advanced data pipelines across the organization.
Responsibilities
We are actively recruiting a Senior Data Engineer to join our team. You'll work alongside a highly creative, motivated group to design, build, and scale cloud-native data systems that power key strategic initiatives. This role blends modern data engineering with emerging AI/ML, enabling real-time analytics, scalable infrastructure, and advanced data pipelines across the organization.
Responsibilities
- Architect and maintain scalable cloud-based data infrastructure
- Build and optimize data pipelines for batch and real-time workflows
- Integrate AI/ML workflows into production data systems
- Ensure data quality, governance, and security across all pipelines
- Collaborate with technical and business teams to deliver reliable data solutions
- 7+ years of professional data engineering experience
- Advanced experience with T-SQL, SQL, and NoSQL databases
- Strong programming skills in Python for data processing and automation
- Hands-on experience with modern cloud platforms (Azure, AWS)
- Experience with data lakes, data warehouses, and distributed data systems
- Familiarity with Spark, streaming technologies, and modern ETL/ELT tools
- Strong communication skills and ability to work closely with internal stakeholders
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.