Azure Data Engineer

Azure Data Engineer

Location: ONSITE- Hybrid Dallas TX

Duration: 6+ months

Rate: $80

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.

Required Qualifications

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.

Preferred Qualifications

Experience with: Event-driven architectures Streaming platforms API integrations Data warehousing and lakehouse architectures Knowledge of: Data governance Metadata management Data quality frameworks Observability and monitoring solutions Experience building reusable frameworks and shared engineering utilities. Exposure to AI/ML enablement platforms and modern analytics ecosystems.

What Success Looks Like

The successful candidate will: Quickly learn new technologies and apply them effectively. Deliver working solutions rapidly while maintaining engineering quality. Challenge conventional approaches and identify better ways of solving problems. Build reusable, scalable assets instead of one-off solutions. Demonstrate strong ownership from design through production support. Continuously improve operational efficiency through automation. Balance speed, simplicity, scalability, and maintainability. 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.