Senior Azure Data Engineer

We are unable to consider third-party agency submissions or Corp-to-Corp (C2C) arrangements for this position.
Applicants must be authorized to work in the United States without the need for current or future visa sponsorship.
To support our review process, applicants are strongly encouraged to include a LinkedIn profile or online portfolio link with their application.

Position Description

We are seeking a Senior Data Engineer to lead the design and implementation of end-to-end data solutions within a modern Azure-based cloud environment. This hands-on, technical role will partner closely with data scientists, analysts, and business stakeholders to ensure that data is accurate, accessible, and optimized for analytics, reporting, and operational needs. You will play a key role in building scalable data pipelines and integrations while championing best practices, mentoring junior engineers, and leading strategic data initiatives across teams.

Key Responsibilities

• Architect and implement secure, scalable data pipelines using Azure Data Factory, Azure Functions, and Azure Data Lake Storage
• Design and build reliable ETL/ELT processes using Python (pandas, PySpark) and SQL, integrating data from diverse sources including REST APIs and various file formats (CSV, JSON, XML, Parquet)
• Collaborate cross-functionally to gather requirements and translate business needs into technical deliverables
• Lead modernization and optimization efforts, improving pipeline performance, maintainability, and scalability
• Detect and resolve data quality issues; implement automated audits and monitoring processes
• Act as a technical leader on schema design, performance tuning, and Azure data architecture
• Mentor and support junior engineers across data engineering, analytics, and BI teams
• Participate in and lead code reviews, promoting clean, well-documented, and testable code
• Stay current on trends in data engineering and cloud technologies, identifying opportunities to innovate

Minimum Requirements

• 8+ years of experience in data engineering, including
• 2+ years with Azure cloud-native solutions

Critical Skills

• Expertise in MS SQL Server, Python (pandas, PySpark), Azure Data Factory, Azure Functions and Azure Data Lake Storage.
• Experience working with a variety of file formats (e.g., CSV, JSON, XML, Parquet).
• Familiarity using REST APIs for data extraction and integration.
• Proven experience designing and implementing data solutions.
• Strong understanding of cloud architecture, data warehousing and modern data stack components.

Additional Skills & Qualifications

• Demonstrated ability to perform root cause analysis on data and processing issues
• Strong problem-solving skills with the ability to explain technical concepts to non-technical audiences
• A successful history of manipulating, processing and extracting value from large disparate datasets
• Experience with Big Data technologies such as Databricks, Spark, or Azure Synapse
• Knowledge of CI/CD workflows, version control, and agile development practices
• Familiarity with data governance, privacy, and compliance frameworks