Remarcable is purpose-built for trade contractors, helping them manage procurement, tools, and warehouse operations with unmatched visibility and control. Remarcable As we scale across North America, data is at the core of how we deliver on that promise.
As our Data Engineer, you'll build and maintain the AWS Lakehouse infrastructure, ELT pipelines, and data models that power decisions across our product, operations, and leadership teams. You'll also build the AI/ML data infrastructure that drives the next generation of Remarcable's intelligent features — work that will be felt by contractors and back-office teams alike.
This is a high-ownership role for someone who loves clean data architecture and wants their work to directly shape a product transforming the construction industry.
Key Responsibilities:
Build and maintain scalable ELT pipelines and AWS Lakehouse infrastructure (S3, Redshift, Athena, Glue) to deliver reliable data across the organization
Design multi-layer data architecture and dbt transformation models that produce clean, well-documented datasets
Enforce data quality, governance, and security standards including PII handling using AWS Lake Formation and IAM policies
Own pipelines for core SaaS metrics including ARR, churn, NRR, and product usage
Build AI/ML data infrastructure including feature stores, training datasets, and embedding pipelines supporting SageMaker and Bedrock workflows
Who You Are
3+ years of experience in a Data Engineering or similar role (Analytics Engineer, Backend Engineer with data focus).
Strong SQL skills — complex queries, window functions, performance tuning.
Experience building and maintaining ELT/ETL pipelines in production.
Proficiency in Python for data engineering tasks (scripting, pipeline logic, tooling).
Hands-on experience with a modern cloud data warehouse
Who we are
Remarcable is a cloud based platform that helps electrical contractors and distributors streamline purchasing processes to save time and money.
Dedicated to the Electrical Contractor Industry, Remarcable provides cloud-based Procurement & Tool Management Software nationwide. With multiple workflows, two applications in one software, and direct contractor accounting integrations, Remarcable significantly, and efficiently, increases communication, streamlines workflows, and provides visibility for all users.
Our team is composed of contractor and distribution experts located coast to coast. Through collaborations with industry leaders, we've gained insight into the struggles they face. Together, we believe in providing a solution that brings efficiency, visibility, and better communication to streamline the relationship between the contractor and distributor partners.
Our Mission
To advance the adoption of technology in the construction industry and bring better efficiency, visibility, and communication to our customers.
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Please be aware of potential phishing scams. Remarcable will never advance job applicants money or ask them to send money (via Venmo, Zelle, Paypal etc.) to preferred vendors. If you are concerned about the application process, please contact Remarcable directly at (216)770-3322.
Remarcable is not associated with info-remarcable.com. For information about applying for a position with Remarcable, please reference remarcable.com.
Skills Required
- 3+ years of experience in Data Engineering or similar role
- Strong SQL skills with complex queries and performance tuning
- Experience in building and maintaining ELT/ETL pipelines
- Proficiency in Python for data engineering tasks
- Hands-on experience with a modern cloud data warehouse
What We Do
Remarcable's all-in-one platform streamlines operations for electrical contractors, offering comprehensive solutions for material management, tool and inventory management, and prefab requisition. Connecting field to offices. Integrating with 450+ suppliers and 25 software systems, it simplifies purchasing and financial processes, enabling contractors to focus on their core business while leveraging cutting-edge technology to boost productivity, and save on cost.








