About the team:

As part of our Dice Engineering team, you will utilize your personal and professional knowledge and experience to create technology within our Development Team. This team plays a crucial role in DHI's product strategy by building and supporting cutting-edge applications for Dice.com.

About the role:

​​The Senior Data Engineer works with a team of data engineers to help build and manage a next-generation cloud-based data platform. This role solves complex business problems in a fast-paced, collaborative and energetic delivery environment. This role works with software engineers, analysts, and business product owners in a technology driven organization.​ 

Why we’re hiring for this role:

The Data team brings the features of Dice.com to life, providing the best experience on the Dice platform for both candidates and employers.

Essential Duties

• Designs robust, scalable cloud-based data infrastructure and pipelines to automate the ingestion, processing and delivery of all types of data including structured and unstructured, batch, and streaming data
• Collaborates with other engineers and business users to develop new capabilities in our data platform that simplify and automate tasks, to improve both the development speed and quality of our data products 
• Builds and maintains complex data models and pipelines that support analytics against our data warehouse capable of scaling to billions of rows 
• Provides technical expertise in peer code reviews, architecture design and reviews, deployment plans and reliable documentation, and mentoring more junior engineers on advanced data engineering theories, principles, and concepts
• Proactively and independently implements data warehouse architecture principles and best practices in management of enterprise data, including master data, reference data, metadata, and data quality metrics 
• Provides production support during work hours and on-call rotation  

Required:

• Expert in writing complex, high-performance SQL queries to support analytics and data warehouse models
• ​Skilled in developing data models, ETL solutions, and automating ETL pipelines for downstream systems
• Proficient in Python, Linux, and shell scripting for data extraction, integration, and containerized workloads
• Experienced in cloud-based data engineering with AWS Data stack: Redshift, Glue, S3, Lambda, CloudFormation, CodePipeline, Firehose, ECS, SNS/SQS
• Hands-on experience with modern data tools and frameworks, including dbt, Stitch, Airflow, Docker, and Bitbucket
• Excellent communication skills, able to convey technical concepts to non-technical audiences and collaborate effectively in team environments
• Familiar with Agile software development practices, including backlog refinement, stand-ups, retrospectives, kanban and sprint planning​
• Ownership of the full lifecycle of infrastructure components — including provisioning, monitoring, scaling, optimization, and reliability
• Proficiency with Infrastructure as Code (Terraform, CloudFormation, etc.) to deploy and manage production-grade environments 

Preferred:

• Proficient in use of AI coding tools
• Experience with LLMs, MCP, RAG, and vector stores

NOTE: This job description is not intended to be an all-inclusive list of the duties and responsibilities of the job described, nor are they intended to be such a listing of the skills and abilities required to do the job. Rather, they are intended only to describe the general nature of the job as of the date this job description was prepared. Management reserves the right to modify this job in order to meet business needs.