Azure Data Engineer

Position: Azure Data Engineer

Location: Dallas, TX (Hybrid)

Job type: Contract

Rate: $60-$65/hr

Key Responsibilities:

Data Engineering & Platform Development

Design, develop, and maintain scalable data pipelines using modern cloud technologies.

Build and optimize data ingestion, transformation, and integration frameworks.

Develop reusable components, utilities, and accelerators that reduce development effort and improve delivery speed.

Implement robust data quality, monitoring, auditability, and operational controls.

Design solutions that support both batch and event-driven processing patterns.

Cloud & Modernization Initiatives

Participate in cloud migration and modernization efforts.

Leverage cloud-native services to improve scalability, reliability, security, and cost efficiency.

Evaluate emerging technologies and recommend innovative solutions aligned with enterprise architecture standards.

Engineering Excellence

Apply software engineering principles to data engineering solutions.

Drive automation across deployment, testing, monitoring, and operational support processes.

Continuously improve platform performance, reliability, and maintainability.

Troubleshoot complex production issues and provide timely resolutions.

Collaboration & Leadership

Partner with business stakeholders, architects, and product teams to translate requirements into technical solutions.

Mentor junior engineers and promote engineering best practices.

Contribute to architectural discussions and technology evaluations.

Foster a culture of continuous learning, innovation, and ownership.

Bachelor's degree in Computer Science, Engineering, Information Systems, or related field.

7+ years of experience in Data Engineering, Software Engineering, or related technical roles.

Strong experience with SQL, Python and large-scale data processing.

Hands-on experience with cloud platforms, preferably:

Microsoft Azure

Experience with modern data platforms such as:

Databricks

Apache Spark

Strong programming skills in Python.

Experience designing scalable ETL/ELT pipelines.

Familiarity with CI/CD, DevOps, and Infrastructure-as-Code principles.

Experience working with relational and distributed data platforms.

Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company.