Senior Data Engineer: Azure SQL & Scalable Pipelines

WIS International

Plano (TX)

Hybrid

USD 120,000 - 160,000

Full time

8 hours ago
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Job summary

WIS International is seeking a Senior Data Engineer to design, build, and maintain scalable SQL Server databases in Azure, with emphasis on T-SQL performance and data integration. The role focuses on creating robust data pipelines supporting critical runtime applications and analytics.

You will collaborate with cross-functional teams to ensure data availability, reliability, and low-latency data access, while applying DevOps practices and governance across cloud platforms.

Qualifications

  • 5+ years of experience in data engineering or related field.
  • Bachelor’s in Computer Science, Information Systems, or related field.
  • Strong proficiency in T-SQL and query optimization.
  • Experience with Azure Data Factory, Logic Apps, and Azure Functions.
  • Familiarity with DevOps practices and tools (e.g., Azure DevOps, Git).
  • Expertise in SQL and experience with relational and NoSQL databases.
  • Strong experience with big data technologies (e.g., Hadoop, Spark, Flink) and cloud platforms (AWS, GCP, Azure).
  • Familiarity with data orchestration tools (Airflow, Dagster) and data modeling techniques.
  • Knowledge of data streaming technologies (Kafka, Azure Event Hubs) and real-time processing.

Responsibilities

  • Design, develop, and optimize complex T-SQL queries, stored procedures, views, and functions.
  • Design, develop, and optimize robust, scalable data pipelines to process structured and unstructured data at scale.
  • Optimize data systems for performance, cost-efficiency, and scalability for low-latency analytics.
  • Troubleshoot database performance and availability issues.
  • Ensure data security, integrity, and compliance with standards.
  • Collaborate with software engineers, project managers, and stakeholders to deliver low-latency, highly available data solutions.
  • Implement data validation, monitoring, and governance frameworks.
  • Leverage tooling (Spark, Kafka, Airflow, or equivalents) to automate workflows.
  • Provide technical guidance and mentorship to junior data engineers.

Skills

T-SQL
Azure SQL Database
Data pipeline design
SQL performance tuning
DevOps practices
Big data technologies
Data orchestration
Data streaming

Education

Bachelor's in Computer Science or related field

Tools

Azure Data Factory
Azure Functions
Azure DevOps
Git
Apache Spark
Kafka
Airflow
Dagster

Job description

WIS International is seeking a Senior Data Engineer to design, build, and maintain scalable SQL Server databases in Azure, with emphasis on T-SQL performance and data integration. The role focuses on creating robust data pipelines supporting critical runtime applications and analytics.

You will collaborate with cross-functional teams to ensure data availability, reliability, and low-latency data access, while applying DevOps practices and governance across cloud platforms.

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