Senior Data Engineer

Job Title: Senior Data Engineer

Location: Dallas, TX

Job Summary:

We are seeking a Senior Data Engineer to design, build, and optimize scalable data platforms and pipelines that power analytics, reporting, and data-driven decision-making. This is a highly technical, hands-on role focused on data architecture, performance, reliability, and security across relational, NoSQL, and cloud-native storage systems. The ideal candidate brings deep experience in data engineering and software development and leads primarily through technical ownership and influence.

Key Responsibilities:

• Design, develop, and maintain scalable data pipelines and architectures using SQL Server, Azure Databricks, Azure Cosmos DB, and Azure Blob Storage.
• Build and optimize ETL/ELT workflows to ingest data from transactional systems, APIs, and streaming sources into analytical data stores.
• Develop and maintain data models for both relational (SQL Server, Snowflake) and NoSQL platforms (Cosmos DB), optimized for performance and analytical use cases.
• Implement data quality, validation, and monitoring frameworks to ensure accuracy, reliability, and observability across pipelines.
• Optimize query performance, indexing strategies, partitioning, and storage costs across SQL Server and cloud data platforms.
• Implement and enforce data security and compliance best practices, including role-based access control, encryption, and secure data handling.
• Collaborate with analytics, application, and platform engineering teams to translate business requirements into robust technical solutions.
• Build and maintain orchestration workflows using tools such as Azure Data Factory and Apache Airflow.
• Support CI/CD pipelines for data solutions, including version control, automated testing, and deployment.
• Evaluate and adopt new data technologies and patterns to continuously improve platform scalability and resilience.
• Provide technical guidance and mentorship through code reviews, design discussions, and best-practice advocacy.

Qualifications:

• Bachelor s degree in computer science, Engineering, or a related field.
• 12+ years of experience in software development, with substantial hands-on experience in data engineering.
• Strong expertise in SQL Server, including schema design, performance tuning, indexing, and stored procedures. Hands-on experience with Azure Cosmos DB (data modeling, partitioning, throughput optimization).
• Experience working with Azure Blob Storage and cloud-based data lakes.
• Proficiency with Databricks, NoSQL databases (Cosmos DB, MongoDB, DynamoDB), and distributed data processing.
• Deep understanding of ETL/ELT, data warehousing, and data modeling concepts.
• Experience with cloud platforms, primarily Azure (AWS exposure a plus).
• Hands-on experience with data pipeline orchestration tools such as Azure Data Factory or Apache Airflow.
• Strong problem-solving skills and attention to detail, with a focus on scalability and reliability.
• Ability to clearly communicate technical concepts to both technical and non-technical stakeholders.

Preferred Qualifications:

• Experience preparing and serving data for machine learning and advanced analytics use cases.
• Background in building and operating large-scale, distributed data environments.
• Experience working in Agile/Scrum teams.
• Familiarity with data governance, lineage, and observability tools in regulated environments.