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# Senior Data Engineer Azure

- **Company:** TEKSYSTEMS INC.
- **Location:** Dallas, TX, United States (Remote available)
- **Experience:** Expert
- **Salary:** $109,700.0 - $164,500.0
- **Contract:** Permanent contract
- **Skills:** Microsoft Access, Agile Methodology, Artificial Intelligence, Business Analytics Applications, Apache HTTP Server, Application Frameworks, ARM Architecture, Microsoft Azure, Cloud Engineering, Continuous Integration, Data Architecture, Information Engineering, Data Governance, Data Integration, Extract Transform Load (ETL), Data Sharing, Data Warehousing, DevOps, Dimensional Modeling, Github, JSON, Python (Programming Language), Machine Learning, Microsoft Software, SQL Azure, Performance Tuning, Scrum Methodology, Power BI, Cloud Services, Azure Machine Learning, Azure Data Lake, Software Deployment, SQL Databases, Extensible Markup Language (XML), Parquet, Synapse Citrix, Data Ingestion, Azure Data Factory, Snowflake, Apache Spark, Data Strategy, Git, Microsoft Fabric, Semi-structured Data, Information Technology, Collibra, Deployment Automation, Data Analytics, Star Schema, Real Time Data, Data Management, Data Lakehouse, Video Streaming, Azure AI, Software Version Control, Data Pipelines, Databricks
- **Published:** October 21, 2026
- **Apply:** https://www.careercircle.com/jobs/all/all/usa/tx/dallas/a534bec5-006a-4a49-8145-a0ad8d0700dc

## About the Role

We are seeking a highly skilled Sr. Data Engineer with strong expertise in Microsoft Fabric, Azure analytics ecosystem, and Snowflake data platform to design and deliver modern, scalable data solutions.

The ideal candidate should be a good team player with 6+ years of experience in data engineering in Microsoft technologies, deep hands-on expertise in Microsoft Azure Fabric platform (OneLake, Lakehouse, Data Factory pipelines, Synapse Data Engineering, Purview, Power BI). Experience with Azure AI/ML services is a definite plus. In addition, the candidate should have at least two end to end project experience developing Snowflake native data engineering solutions involving Snowpipe / Copy Command / Dynamic Table / Streams & Tasks

This role requires expertise in designing, developing, and deploying secure, scalable, and high-performance cloud-native engineering and analytics solutions, close team collaboration with team lead/ architects, AI Engineers, Data Scientists, and Business Stakeholders to deliver impactful, data-driven solutions., * Bachelors or Masters degree in Computer Science, Engineering, or related field.

 * 6+ years of hands-on Data Engineering experience delivering enterprise-scale data platforms and analytics solutions in Microsoft tech stack.
 * At least two end-to-end implementation projects on Azure Fabric involving design, development, testing, and production deployment
 * At least two end-to-end implementation projects on Snowflake involving data ingestion, transformation, modeling, and optimization
 * Strong expertise in SQL, Python, and ETL/ELT development
 * Strong hands-on expertise in Microsoft Fabric and related Azure data services, including:
 * Azure Data Factory (ADF) / Synapse Pipelines
 * Azure SQL/ SQL MI
 * ADLS Gen2
 * OneLake & Lakehouse architecture
 * Power BI reporting development
 * Strong working knowledge of Snowflake architecture, including
 * Virtual Warehouses
 * Snowpipe / Copy Command / Dynamic Table
 * Streams & Tasks
 * Data Sharing
 * Performance Tuning
 * Security & Access Control
 * Expertise in data modeling (star/snowflake schemas, medallion architecture)
 * Experience building batch and near real-time data pipelines handling structured and semi-structured data (JSON, Parquet, CSV, XML)
 * Knowledge of CI/CD, Git, DevOps practices, and deployment automation
 * Experience implementing data quality, governance, security, and access controls in cloud platforms.
 * Strong problem-solving, communication, and stakeholder management skills
 * Excellent verbal and written communication skills.
 * Ability to participate in agile ceremonies (planning, retrospectives, backlog grooming)
 * Ability to work cross-functionally with product managers, business stakeholders, and engineering teams.
 * Passion for staying updated with the latest cloud and AI/ML technologies and ability to evaluate and adopt emerging tools and methodologies.

Preferred Qualifications:

 * Experience with Azure AI/ML Services and/or Snowflake Cortex AI/Cortex Code
 * Microsoft certifications such as:
 * Fabric Data Engineer Associate
 * Azure AI Engineer Associate
 * Snowflake Certification such as:
 * SnowPro® Advanced: Data Engineer
 * SnowPro® Core Certification
 * Experience with Databricks or Synapse Spark pools
 * Familiarity with Streaming technologies (in Azure and/or Snowflake)
 * Exposure to data governance tools (Purview or equivalent), Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related factors.

## Description

DevOps
Github
Writing
Planning
Teamwork
Power BI
Textiles
Operations
Leadership
Governance
Databricks
Warehousing
Scalability
Star Schema
Data Quality
Azure DevOps
Communication
Data Modeling
Data Ingestion
Real Time Data
Data Lakehouse
Apache Parquet
Synapse Citrix
Microsoft Azure
Problem Solving
Data Governance
Data Management
Team Leadership
Cost Management
Customer Service
Computer Science
Microsoft Access
Data Integration
Machine Learning
Data Warehousing
Data Engineering
Snowflake Schema
Microsoft Fabric
Agile Methodology
Business Valuation
Azure Data Factory
Development Testing
Semi-Structured Data
Dimensional Modeling
Business Intelligence
Requirements Analysis
Technology Strategies
Sprint Retrospectives
Cloud-Native Computing
Full Stack Development
Stakeholder Management
Functional Requirement
Artificial Intelligence
Business Transformation
Product Backlog Grooming
SQL (Programming Language)
Snowflake (Data Warehouse)
Git (Version Control System)
Extract Transform Load (ETL)
Cloud Computing Architecture
Python (Programming Language)
Extensible Markup Language (XML)
Activities Of Daily Living (ADLs), * Actively involves in requirement gathering workshops from customers, translating the functional requirements into technical solutions, and translating complex technical concepts into actionable insights for stakeholders under the guidance from an Architect or Lead Engineer

 * Actively participates in architectural discussions under guidance / supervision from Practice Architect / Team Lead to design and develop effective, efficient, reliable, secure, scalable, and cost-optimized data engineering solutions as per the overall data management strategy
 * Design and implement modern data platform architectures using Microsoft Fabric and/or Snowflake, including:
 * OneLake-based data Lakehouse architectures
 * Data Factory pipelines within Fabric
 * Synapse Data Engineering and Data Warehousing experiences
 * Snowflake Data Ingestion (different data formats)
 * Develop scalable data ingestion, transformation, and orchestration pipelines using Fabric-native tools, and Azure services
 * Design high-performance Lakehouse and Warehouse models following best practices (medallion architecture, dimensional modeling)
 * Integrate Azure services such as Azure Data Factory, ADLS Gen2, Azure SQL, Databricks (optional)
 * Design, implement, and optimize Snowflake-based cloud data platforms leveraging features such as Snowpipe, Streams, Tasks, Dynamic Tables, and Virtual Warehouses to deliver scalable, secure, and high-performance analytical solutions.
 * Develop enterprise-grade ELT frameworks and data integration solutions on Snowflake, ensuring adherence to data governance, performance optimization, cost management, and operational best practices
 * Build interactive and scalable Power BI semantic models and reports
 * Implement CI/CD pipelines (Azure DevOps/GitHub) for data and analytics workloads
 * Ensure adherence to data governance, security, and compliance standards
 * Occasionally mentor or oversee junior engineers and drive best practices
 * Contribute to developing accelerator solutions or reusable frameworks