Data Engineer

RESPONSIBILITIES • Support data engineering execution across complex application development initiatives, ensuring data models, integrations, and pipelines align with established architectural standards. • Collaborate with your engineering teammates to design and build robust data models, stored procedures, and database objects that support application and reporting needs. • Develop and maintain SQL Server databases, including schema design, indexing strategies, query optimization, and stored procedures. • Work with MongoDB to design document schemas and support NoSQL data access patterns alongside relational workloads. • Participate in code and schema reviews, upholding data quality, performance, and consistency standards across the team • You will use your software development skills in an agile environment to also develop new data pipelines, APIs, and data management tools and your experience with continuous delivery will support the end-to-end lifecycle. LANGUAGES AND FRAMEWORKS • MS SQL Server, strong production experience with schema design, complex query writing, stored procedure development, indexing, and query performance tuning. • MongoDB, hands-on NoSQL experience, including document modeling and integrating with relational systems. • Comfortable modeling data across relational and document-based systems, analyzing schemas, and resolving data quality issues. • Experience with the Azure data stack preferred, including Azure Data Factory, and Microsoft Fabric. • Python, working proficiency for scripting, automation, and data pipeline support is a plus. TOOLS • Experience maintaining projects using a distributed version control system such as Git and GitHub. • Experience in automated pipeline deployment and schemas into production environments. • You should be experienced with agile methods and the concepts behind continuous delivery. • We expect you to be passionate about database modeling, stored procedure writing, pipelines, and APIs, so we want to see your experience with security, testing, performance, JSON, and REST. • We are eager to hear about your experience and opinions around data quality, test strategy, and test automation. EDUCATION • BS in Computer Science and a minimum of five years of experience delivering production solutions FOCUS • Minimum 5+ years working in Data Science. • We expect you to have a passion and experience in shipping and maintaining production software products. • You must have strong verbal and written skills. • We are most interested in candidates who want to work in an environment where attention to detail, solving problems, simplicity, quality, and moving quickly are highly prized. ENVIRONMENT • US-based remote working within PT/ET time zones with the potential for occasional travel to L.A., NY or Nashville offices. • We foster a service-oriented, highly collaborative environment where teamwork, care, and helping others succeed are highly valued. [https://www.totalperform.com/wp-content/uploads/2026/03/Perform-Wordmark-Off-White-2048x339.png] Your partner for AI, consulting, software development, and nearshore staffing.

You will design and maintain robust data infrastructure, including SQL Server databases and MongoDB schemas, to support application and reporting needs. Additionally, you will collaborate with engineering teams to develop data pipelines, APIs, and automation tools within an agile environment.

The role requires at least 5 years of experience in data engineering with strong proficiency in MS SQL Server and MongoDB. Candidates must have experience with schema design, query optimization, and modern software development practices like continuous delivery.

• GitHubSouhaitée
• MongoDBSouhaitée
• GitSouhaitée
• PythonSouhaitée

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• MS SQL Server
• MongoDB
• Data Modeling
• Database Development
• Pipeline Development
• Python
• Azure Data Factory
• Microsoft Fabric
• Git
• GitHub
• Continuous Delivery
• Agile Methodologies
• API Development
• Schema Design
• Query Optimization
• Data Quality
• Database Modeling
• Pipelines
• Git (Version Control System)
• Data Access
• Query Performance
• Application Programming Interface (API)
• Agile Methodology
• Artificial Intelligence
• Application Development
• Software Development
• Automation
• Test Automation
• Microsoft Azure
• Consulting
• Data Engineering
• Data Infrastructure
• Data Management
• Software Design Documents
• Distributed Revision Control
• Github
• JSON
• Python (Programming Language)
• Microsoft SQL Servers
• Nearshoring
• NoSQL
• Security Testing
• Stored Procedure
• SQL (Programming Language)
• Test Strategy
• Scripting
• Indexing
• Data Science
• Detail Oriented
• Data Pipelines

• Data & Analytics
• Software
• Technology
• Engineering
• Consulting
• Data Engineer
• Software Developers
• Database Administrators

Expérience minimale

5+ ans

Langue de l’offre

anglais

Heures de travail

40 heures par semaine