Jr Data Engineer

Insight Global

Charlotte, NC, United States

2 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Starter

Experience required

2 years minimum

Working hours

Regular working hours

Job source

dejobs.org

Tech stack

Java (Programming Language) Microsoft Excel Amazon Web Services JIRA Continuous Integration Information Engineering Extract Transform Load (ETL) Data Systems Data Warehousing Database Development Dimensional Modeling Document-Oriented Databases

+23 more

Amazon DynamoDB Github JSON Python (Programming Language) MongoDB NoSQL Power BI SQL Databases SQL Server Integration Services Systems Integration Tableau (Software) Extensible Markup Language (XML) Enterprise Data Management Azure Data Factory GitHub Copilot Spring-boot AWS Lambda Containerization Semi-structured Data Graphql Cloudwatch Restful APIs Data Pipelines

Job description

Analyze Jira stories and translate requirements into scalable data solutions * Assess source systems and identify required data elements * Design enterprise-level data models for structured finance datasets * Build, optimize, and maintain ETL/ELT pipelines * Integrate data from SQL, NoSQL, Excel, and other source systems * Develop AWS-based data engineering solutions and workflows * Create and manage AWS Step Functions, Lambda functions, and orchestration processes * Model and load data into enterprise data platforms * Work with structured finance business stakeholders to understand ratings, loans, and bond-related data * Troubleshoot data quality, performance, and integration issues * Support data warehousing initiatives and cross-platform integrations * Collaborate with architects, analysts, and engineering teams to deliver reliable solutions * Document data flows, technical designs, and operational procedures

Requirements

2-5 years of Data Engineering experience * Strong financial services or banking domain background * Enterprise-level data modeling experience * Experience handling and integrating multiple data sources across an ecosystem * Experience with ETL/ELT processes and data pipeline development * Experience with relational and NoSQL databases * Ability to analyze source systems and design target state data models * Experience gathering requirements from Jira stories and independently analyzing, modeling, and engineering data solutions * AWS experience * Experience designing and loading enterprise data models * Strong problem-solving and communication skills * Must be a genuine hands-on engineer with verifiable project experience * Understanding of credit ratings, structured finance, loan management, and bond management * SQL development skills * Python development experience * Azure data services experience * SSIS (SQL Server Integration Services) * Java or Spring Boot experience * Experience with REST APIs and GraphQL * Tableau or Power BI reporting experience * DynamoDB, MongoDB, or other NoSQL platforms * Experience with CloudWatch monitoring * CI/CD and containerization knowledge * Experience with GitHub, GitHub Copilot, and AI-assisted development tools * Experience with JSON, XML, and semi-structured data * Data warehousing and dimensional modeling expertise