Allata is a global consulting and technology services firm with offices in the US, India, and Argentina. We help organizations accelerate growth, drive innovation, and solve complex challenges by combining strategy, design, and advanced technology. Our expertise covers defining business vision, optimizing processes, and creating engaging digital experiences. We architect and modernize secure, scalable solutions using cloud platforms and top engineering practices.
Allata also empowers clients to unlock data value through analytics and visualization and leverages artificial intelligence to automate processes and enhance decision-making. Our agile, cross-functional teams work closely with clients, either integrating with their teams or providing independent guidance—to deliver measurable results and build lasting partnerships.
We are looking for a hands-on Senior Full-Stack .NET Engineer who can build modern web apps end-to-end and develop robust ETL/ELT pipelines. You’ll work across backend services, front-end UI, and data workflows—preferably with Databricks, but open to any modern ETL tooling—to modernize systems and improve operational efficiency. The team embraces engineering excellence, pair programming, and continuous learning in an agile environment.
We are looking for a hands-on Senior Full-Stack .NET Engineer who can build modern web apps end-to-end and develop robust ETL/ELT pipelines. You’ll work across backend services, front-end UI, and data workflows—preferably with Databricks, but open to any modern ETL tooling—to modernize systems and improve operational efficiency. The team embraces engineering excellence, pair programming, and continuous learning in an agile environment.
Role & Responsibilities:
Design and implement backend services and APIs using .NET (C#).
Build front-end applications using Angular or React (TypeScript).
Develop and maintain ETL/ELT pipelines (Databricks preferred; open to ADF, SSIS, Spark/PySpark, Glue, dbt, etc.).
Orchestrate, monitor, and optimize data workflows; implement data quality checks and observability.
Model and integrate data with SQL Server and/or data lakes; support both OLTP and analytics use cases.
Collaborate with stakeholders to understand requirements and translate them into technical solutions.
Apply engineering best practices: code reviews, testing, CI/CD, security, and performance tuning.
Hard Skills - Must have:
Strong experience with C# and .NET (Core/6+), RESTful APIs.
Front-end development with Angular or React and TypeScript.
Advanced SQL skills and relational data modeling (SQL Server).
Hands-on ETL/ELT development with at least one modern tool: Preferably Databricks (Spark/PySpark, Delta Lake), but open to ADF, SSIS, Glue, dbt, Synapse pipelines, Airflow, etc.
Cloud experience (Azure preferred: Azure Databricks, Data Factory, Functions, Storage, DevOps). AWS equivalents also considered.
Git-based workflows and CI/CD (Azure DevOps, GitHub Actions, or similar).
Solid communication skills to work with US-based teams and stakeholders.
Nice to Have
Databricks Lakehouse concepts: Delta Live Tables, Unity Catalog, MLflow.
Azure Synapse/SQL DW; basics of Power BI or similar BI tools.
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