Data Engineer I
About The Position
This position sits within our Product Development division, which develops, tests, and improves our software solutions in an innovative and collaborative environment. ConstructConnect has built up multiple sources of data over the course of many years and acquisitions and is looking for a full-time Data Engineer. Our Data Engineers work to build bridges and pathways between data sources. Our goal of one source of truth is accomplished with a myriad of tools as we build out the company’s data lake and data warehouse. This role has the unique opportunity to consume and manage the nation’s largest collection of construction data. The ideal candidate for this role is excited about data in all its forms, desires to build a source of data truth, and is looking forward to leveraging Google Cloud’s vast array of data technologies. The Opportunity The Data Engineer enhances our data pipelines using a combination of technologies and standard engineering practices. They are responsible for working with the software engineering, marketing, product, data science, and customer service teams to ensure our data is delivered in a timely and scalable fashion.
Requirements
- Bachelor’s Degree or equivalent experience in Computer Sciences, Database Development, or a related discipline
- 1 – 3 years professional experience managing Data Lakes and Data Warehouses
- Creative problem-solver who is passionate about digging into complex problems and devising new approaches to reach results
- Strong communication skills and experience distilling and presenting complex quantitative analysis into action-oriented recommendations
- Understanding of programming languages such as Python, JavaScript, C#, or other language
- Understanding of SQL Queries, Stored Procedures, Views, and Triggers
- Understanding of the concepts of ETL or ELT (Extract, Transform, Load) processes
- Familiarity with cloud-based data technologies
Nice To Haves
- dbt (Data Build Tool) for building and maintaining data models and transformations
- Strong, production-quality SQL for analytics and data engineering workloads
- Git-based workflows (ideally GitLab) for version control, code review, and collaboration
Responsibilities
- Assembling large, complex sets of data that meet business requirements
- Modernizing and innovating data delivery pipelines using cloud technologies
- Ensure data is properly curated and transformed for analysis and consumption
- Collaborate with data scientists and architects
- Learn and apply AI technologies: Gain familiarity with AI tools and frameworks to assist in GTM Systems tasks
- This job description in no way implies that the duties listed here are the only ones that team members can be required to perform
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
