Data Software Engineer

Insight Global
Redmond, WA, United States
13 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
4 years minimum
Working hours
Regular working hours
Job source

Tech stack

.NET Framework Application Programming Interfaces (APIs) Artificial Intelligence Data Analysis Microsoft Azure C Sharp (Programming Language) Databases Data as a Services Data Integration Extract Transform Load (ETL) Data Migration Data Systems
+13 more
Data Warehousing Database Queries Python (Programming Language) Windows PowerShell Power BI Kusto Query Language DataOps Scripting Data Ingestion Data Programming Machine Learning Operations Data Pipelines Serverless Computing

Job description

This enterprise games organization is looking for a data focused Software Engineer to join their team.

This position will aid the Data & AI division of a central game testing organization, which services a portfolio of first party AAA games.

As part of a team dedicated to ensuring top-quality data solutions that drive testing efficiency and insights, you will play a critical role in building, maintaining, and optimizing our data pipelines and AI-driven processes. You’ll work closely with cross-functional teams to design and implement scalable data solutions, leveraging your expertise in C#, .NET, PowerShell, ETL processes, and data pipelines.

Key Responsibilities:

Design, develop, and maintain robust ETL (Extract, Transform, Load) processes for our data pipeline infrastructure to support data ingestion, transformation, and integration.

Collaborate with data scientists, analysts, and software engineers to understand data requirements and create scalable solutions.

Write and optimize efficient C# and .NET code for applications and tools supporting data integration and transformation.

Develop and maintain Python scripts to automate data workflows, monitor system health, and optimize data operations.

Use Kusto Query Language (KQL) to develop complex queries, create dashboards, and analyze data effectively to support business decisions.

Manage, optimize, and troubleshoot data pipelines to ensure high performance and reliability across different stages of the ETL process.

Collaborate with product managers and stakeholders to understand data needs and ensure solutions are aligned with overall goals.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global’s Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Requirements

4+ years of experience as a Data Engineer, Software Engineer, or in a related role.

Experience with Azure services, PowerBI and Azure DevOps

Proficiency in C# and .NET development

Strong experience with Python for automation and scripting.

Solid understanding of Database, ETL processes and building data pipelines.

Experience working with SQL.

Experience with Data Services, aggregating data for AI consumption & ML Ops.

Familiarity with data warehousing concepts and best practices.

Ability to analyze, troubleshoot, and optimize data solutions and pipelines for scalability and performance.

Collaboration: Strong communication skills with experience working in cross-functional teams in a collaborative, fast-paced environment.

Experience organizing data from multiple sources, and migrating data between APIs. Experience with Kusto Query Language (KQL) for data query and analytics.

Experience with Azure functions.

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