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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - **Company:** Inspyr Solutions - **Location:** Irving, TX, United States - **Experience:** Expert - **Salary:** $93,600.0 - $104,000.0 - **Contract:** Permanent contract - **Skills:** Business Analytics Applications, Data Analysis, Microsoft Azure, Big Data, Cloud Computing, Cloud Database, Cloud Engineering, Cloud Storage, Information Systems, Computer Engineering, Data as a Services, Information Engineering, Data Governance, Data Warehousing, DevOps, Github, IBM Cognos Business Intelligence, Tivoli Management Framework, Python (Programming Language), Microsoft SQL Server, MongoDB, Oracle (Applications), Performance Tuning, Power BI, Standard Sql, Azure Data Lake, SQL Databases, Tableau (Software), Teradata SQL, Workflow Management Systems, Enterprise Software Applications, Data Ingestion, Azure Data Factory, Snowflake, Grafana, Apache Spark, Data Lakes, Information Technology, Collibra, Cassandra, Data Analytics, Terraform, Data Pipelines, Serverless Computing, Powerapps, Jenkins, Alteryx, Databricks - **Published:** June 2, 2026 - **Apply:** https://www.dice.com/job-detail/c5c80793-361d-4d03-81de-41a28d9e9c83 ## About the Role * Bachelor's degree in Computer Science, Computer Engineering, Information Systems, Engineering, or related technical field (or equivalent experience/training) * 5-7 years of experience in software solution development in agile/DevOps environments * 5-7 years of experience in data analytics using SQL * 5-7 years of experience with cloud-based data engineering and data lake environments (preferably Azure) * Experience designing, developing, and implementing large-scale applications or data engineering solutions, * Python * Spark * Unix/Linux * SQL Data Platforms Experience with several of the following: * Teradata * Cassandra * MongoDB * Oracle * SQL Server * Azure Data Lake Storage (ADLS) * Snowflake * Azure Data Explorer Cloud Technologies (Azure Preferred) * Azure Data Factory * Azure Databricks * Azure Blob Storage * Azure Data Lake * Azure Functions * Azure Event Hub * Azure DevOps * Power Apps * Power BI CI/CD & DevOps Tools * GitHub * Jenkins * Azure DevOps * Terraform BI & Analytics Tools * Power BI * Tableau * Cognos * Alteryx * Denodo * Grafana Data Engineering Concepts * Data warehousing principles * Data ingestion, transformation, and curation * Data governance and data privacy concepts Data Governance Tools (Preferred) * Informatica Axon * Informatica EDC * BigID Orchestration Tools * Azure Data Factory * Tivoli, * 5-7 years of experience building enterprise-scale data engineering solutions using agile/DevOps methodologies * Strong experience with Azure-native data services (ADF, Databricks, ADLS, Event Hub, Azure Functions, ADX) * Experience in airline or transportation industry environments (preferred but not required) * Azure Development certification (preferred) * Spark certification (preferred) ## Description Seeking a Data Engineer with strong experience in large-scale data solutions, cloud development, and analytics. The ideal candidate will have hands-on experience designing, developing, and supporting enterprise data pipelines and data lake environments in an agile, DevOps-driven environment., * Design, develop, and support scalable data pipelines and cloud-based data solutions * Build and maintain data ingestion, processing, and transformation workflows * Work within Azure cloud ecosystem to implement data lake and analytics solutions * Collaborate with cross-functional teams in agile development environments * Ensure data quality, governance, security, and performance optimization * Support CI/CD pipelines and DevOps practices for data engineering workflows ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform) - [40 Minutes to Build a Serverless COVID-19 REST and GraphQL APIs](https://www.wearedevelopers.com/videos/208-40-minutes-to-build-a-serverless-covid-19-rest-and-graphql-apis) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [Bringing AI Model Testing and Prompt Management to Your Codebase with GitHub Models](https://www.wearedevelopers.com/videos/1536-bringing-ai-model-testing-and-prompt-management-to-your-codebase-with-github-models) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production)