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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Azure & Snowflake Data Engineer - **Company:** HTC Global Services, Inc. - **Location:** Troy, MI, United States - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Agile Methodology, Microsoft Azure, Data Architecture, Information Engineering, Extract Transform Load (ETL), Data Systems, Data Warehousing, Python (Programming Language), Operational Databases, Azure Data Lake, SQL Databases, Enterprise Data Management, Data Ingestion, Azure Data Factory, Snowflake, Apache Spark, Git, Azure Synapse Analytics, Data Pipelines, Databricks - **Published:** July 26, 2026 - **Apply:** https://www.juju.com/job/00000000gjorfp ## About the Role + At least four years of experience building data pipelines using Microsoft Azure. + Strong hands-on experience with Azure Data Factory. + Strong SQL development and query-optimization skills. + Strong Python programming experience for data engineering and automation. + Hands-on Snowflake experience, including: + Tasks + Streams + Procedures + Functions + Experience using Snowpark. + Strong understanding of: + Data-warehouse architecture + Lakehouse architecture + Data modeling + Data-design concepts + ETL and ELT processing + Experience building and supporting production data pipelines. + Experience working within Agile delivery teams. + Strong analytical, organizational, and problem-solving skills. + Ability to work independently and deliver assigned work with limited supervision. + Strong written and verbal communication skills. + Ability to coordinate effectively with globally distributed onsite and offshore teams. + Ability to provide clear handoffs, status updates, and follow-up on unresolved issues. + Preferred Qualifications + Experience optimizing Snowflake performance and resource usage. + Experience with Azure Data Lake Storage. + Exposure to Azure Synapse Analytics. + Experience with Databricks or Spark-based processing. + Experience with CI/CD pipelines for data solutions. + Experience with Git, Azure DevOps, or similar source-control and delivery tools. + Experience supporting enterprise data platforms in production. + Familiarity with data-quality, governance, and monitoring practices. ## Description This role is ideal for a hands-on Data Engineer who can independently design, develop, troubleshoot, and support data pipelines using Azure Data Factory, Snowflake, SQL, Python, and Snowpark. You will work across data-warehouse and lakehouse environments while collaborating closely with onsite and offshore team members., + Design, develop, test, and support scalable data pipelines on Microsoft Azure., + Support data ingestion, transformation, validation, and delivery across enterprise data platforms. + Apply data-warehouse, lakehouse, data-modeling, and solution-design concepts. + Troubleshoot data-quality, performance, pipeline, and integration issues. + Monitor data workflows and resolve failures or processing exceptions. + Participate in Agile planning, development, testing, and delivery activities. + Collaborate with business, engineering, architecture, and offshore delivery teams. + Track open issues during onsite working hours and provide clear handoffs to offshore team members. + Maintain technical documentation, data mappings, process flows, and operational support notes. + Work independently while communicating risks, dependencies, and progress to the broader team. ## 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) - [How a Small Team Shrank a Microsoft Monorepo by 94%](https://www.wearedevelopers.com/videos/1236-how-a-small-team-shrank-a-microsoft-monorepo-by-94) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [OLTP in the Lakehouse: Redefining Data for AI Workloads](https://www.wearedevelopers.com/videos/2038-oltp-in-the-lakehouse-redefining-data-for-ai-workloads) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) ## Related Articles - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [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) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [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)