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# Senior Data Engineer

- **Company:** ServIT Consulting LLC
- **Location:** Plano, TX, United States
- **Experience:** Expert
- **Contract:** Contract
- **Skills:** Amazon Web Services, Microsoft Azure, Continuous Integration, Information Engineering, Data Governance, Data Infrastructure, Data Warehousing, Python (Programming Language), Performance Tuning, Standard Sql, Software Deployment, Cloud Platform System, Macros, Snowflake, Git, Event Driven Architecture, Semi-structured Data, Apache Kafka, Stream Processing, Data Pipelines
- **Published:** October 31, 2026
- **Apply:** https://www.dice.com/job-detail/ed99a2ce-575a-4891-a181-9b6c581afa9b

## About the Role

We are seeking a Senior Data Engineer with strong hands-on experience in Snowflake, dbt, and Apache Kafka to design and develop scalable data pipelines, real-time streaming solutions, and cloud-based data platforms. The role requires close collaboration with architects, analysts, product owners, and business teams at the Plano location., · 8+ years of experience in data engineering or data platform development.

· Strong hands-on experience with Snowflake, including Streams, Tasks, Snowpipe, and performance tuning.

· Advanced experience with dbt development, testing, documentation, and deployment best practices.

· Hands-on experience with Apache Kafka and event-driven architectures.

· Strong SQL, data modeling, and data warehousing skills.

· Experience with Python, Git, and CI/CD pipelines.

· Strong analytical, troubleshooting, communication, and collaboration skills.

· Ability to work onsite in Plano, Texas.

·· Experience in banking or financial services.

· Knowledge of Kafka Connect, Schema Registry, and stream-processing frameworks.

· Experience with AWS or Azure cloud services.

· Familiarity with data governance, lineage, security, and regulatory requirements.

· Snowflake, dbt, or Kafka certification is a plus.

## Description

· Design and develop scalable batch and real-time data pipelines using Snowflake, dbt, and Apache Kafka.

· Build reusable dbt models, macros, tests, snapshots, and technical documentation.

· Implement ELT processes for structured and semi-structured data.

· Optimize Snowflake queries, virtual warehouses, storage, and overall platform performance.

· Integrate Kafka topics with Snowflake and downstream applications using event-driven patterns.

· Implement data-quality checks, monitoring, lineage, reconciliation, and operational controls.

· Support CI/CD automation and production deployment of data pipelines.

· Troubleshoot pipeline failures, data-quality issues, and performance bottlenecks.