Data Engineer

Job not on LinkedIn

November 6

🌽 Illinois – Remote

Although this job is listed in Illinois, this company may be open to hiring remote in other states.

💵 $75k - $125k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

Apply Now

Receive Emails with Similar Jobs

Contruent

WebsiteLinkedInAll Job Openings

Construction • Enterprise • SaaS

Contruent is a leading provider of lifecycle cost management solutions designed to optimize project spend and performance for large-scale construction projects. Their intuitive, configurable software-as-a-service (SaaS) is immediately deployable and helps engineering and construction firms enhance collaboration and visibility, thus minimizing risk and maximizing project success. With over 25 years of industry expertise, Contruent serves a wide range of industries including mining, oil and gas, infrastructure, and energy, providing tools for cost management, project controls, contract management, and more. Their solutions foster better decision-making through advanced data orchestration, executive dashboards, and integration with enterprise resource planning (ERP) systems.

201 - 500 employees

Founded 1994

🏢 Enterprise

☁️ SaaS

📋 Description

• Maintain and optimize large SQL Server and AWS RDS databases, ensuring performance, reliability, and scalability. • Design, build, and manage ETL pipelines and data integrations using AWS Glue, Lambda, and related AWS services. • Develop and enhance Power BI datasets, models, and dashboards with an emphasis on usability, governance, and performance. • Partner with business stakeholders to translate requirements into well-designed data models and reporting solutions. • Implement best practices for database indexing, query optimization, and data lifecycle management. • Support the deployment of data-driven and AI-enabled applications alongside the Data Science & AI Engineering team. • Contribute to data quality monitoring, metadata management, and documentation of data sources and transformations. • Assist in modernizing legacy reporting workflows and migrating data assets to AWS cloud platforms.

🎯 Requirements

• 3–5 years of experience as a Data Engineer, Data Scientist, or Database Developer. • Advanced proficiency in SQL and database administration (SQL Server, AWS RDS). • Hands-on experience building ETL pipelines with AWS Glue, Lambda, or equivalent tools. • Strong experience with Power BI (data modeling, DAX, Power Query, and performance tuning). • Familiarity with Python for scripting and automation. • Understanding of modern data architectures (star/snowflake schemas, data lakes, and cloud-native data design). • Solid grasp of version control (Git) and CI/CD principles for data deployments. • Ability to collaborate across technical and business teams to deliver reliable, scalable analytics. • Experience handling sensitive data through isolation and anonymization.