Job Description

Senior Full Stack/Data Engineering (C#/.Net, Angular, Azure Databricks, AI/ML)

Pay rate: $50-55 per hour

Employment status: W2 (We can only consider candidates that do not require sponsorship via W2 status with us - C2C H1B candidates cannot be considered right now

Location: DFW area, must be onsite Tues, Wed, Thursday

Contract: 6+ months (chance to convert but not guaranteed)

Looking for a Senior Full Stack & Data Engineering Developer - 3-7 years experience range is ideal. This role spans scalable data pipeline development, ML workflow enablement, and full‑stack (.NET + Angular) engineering in Azure.

Core Responsibilities

• Build and optimize data pipelines, ingestion, and transformation workflows (ADF, Databricks).
• Enable ML workflows: data prep, feature engineering, deployment support.
• Develop full‑stack applications (Angular front end + .NET APIs + SQL backend).
• Collaborate with data scientists, architects, and product teams on end‑to‑end solutions.
• Ensure data quality, performance, and security across platforms.
• Troubleshoot production issues and support continuous improvement.
• Contribute to architecture and technical decision‑making.

Skill Mix Breakdown

• Angular / Front‑End: 25%
• .NET / API / Backend: 25%
• Azure + Data Engineering (ADF, Databricks, Azure SQL): 35%
• ML / AI Exposure: 15%

Required Skills

• 3–5+ years with .NET, C#, APIs , and backend development.
• Strong experience with Entity Framework , SQL/T‑SQL , and Databricks .
• Proficient with Angular and Angular Material UI components.
• Experience in Agile , CI, TDD environments.
• Solid problem‑solving skills in distributed cloud systems.
• Azure cloud experience (highly preferred).

Preferred Skills

• Experience building or optimizing machine learning models or AI workflows.
• Familiarity with NLP/statistical approaches for solutioning.
• Exposure to tools such as Python, R, SAS, SQL, MATLAB, Java .
• TypeScript experience.

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