Data Engineer

Data Engineer – Identity & Age Verification
100% Remote within the United States
Direct Hire

About the Role
Join a mission-driven team working to revolutionize how data is used while helping clients meet AML, KYC, and Age Verification requirements across multiple industries. We welcome passionate contributors of all political viewpoints in a collaborative environment where your ideas matter.

Responsibilities

• Data load and transformation: Design and build reliable data load processes for databases and file systems; create utilities for large-scale data conversion and transformation.
• Solution development: Use .NET, SSIS, and SQL Server to implement data solutions that meet consumer requirements and adhere to business rules.
• Web-based reporting: Build reporting systems to monitor system performance, transaction metrics, and error rates.
• Data rules and quality: Help define and document transformation rules to ensure integrity, accuracy, and consistency.
• ETL design and tuning: Develop, optimize, and performance-tune ETL processes for efficient processing at scale.
• Collaborative development: Partner with engineers to deliver data services to existing and new applications, including modifying production data and creating/optimizing stored procedures, functions, and views.
• Performance enhancement: Analyze workloads and implement strategies that improve system speed, scalability, and reliability.
• Documentation and testing: Produce clear documentation and test procedures; perform unit testing and debugging to maintain code quality.
• Best practices: Follow industry-standard coding and design techniques for maintainability and consistency.

• Bachelor's or Associate's degree in Computer Science or related field.
• Experience in the identity verification for fraud, marketing, and risk mitigation industry
• 2+ years of hands-on ETL experience.
• Strong T-SQL skills and deep understanding of the SQL Server Query Processing Engine.
• Experience with Microsoft SQL Server 2005/2008, stored procedures, T-SQL scripts, DTS, and SSIS package design, debugging, and deployment.
• Proficiency with Microsoft SQL and SSRS; strong skills with MS Office (Word, Excel).
• Ability to manage multiple priorities, follow project plans, and meet deliverables.
• Proven ability to learn and adapt to new technologies quickly.

• Proficiency with Microsoft Visio for sequence, component, and other UML diagrams.
• Data modeling experience (Visio or Erwin).
• Knowledge of internet technologies (XML, DHTML, CSS, JavaScript).
• Familiarity with ASP.NET 2.0, C#, and Classic ASP.