Position title: Data Engineer Location: Houston, TX (Only local candidates) Duration: 6 to 12 months

Please Note: The candidate should be on your company W2.

We are seeking a highly skilled Data Engineer to support and evolve our DAISY platform, a custom internal data intelligence and workflow application. This role requires hands-on experience building scalable and secure data pipelines, with a strong emphasis on data security, caching strategies, and database management . You'll work on designing, implementing, and optimizing pipelines that process high-volume data from various sources, ensuring system reliability, performance, and security. Experience with Docker is essential, and Kubernetes knowledge is a strong plus. Key Responsibilities: Design and maintain robust, secure, and high-performance data pipelines to support DAISY's processing and analytics workflows Implement authentication and authorization mechanisms to secure data access and movement Work with both SQL and NoSQL databases to store and retrieve structured and unstructured data efficiently Apply data caching and optimization strategies to improve application responsiveness and system performance Build, deploy, and manage containerized applications using Docker Collaborate with developers, architects, and security teams to ensure system compliance and performance Troubleshoot pipeline and infrastructure issues in development and production environments Contribute to architecture discussions and make recommendations for technology direction Required Qualifications: 5+ years of experience in data engineering or backend data development Strong hands-on experience in building data pipelines (ETL/ELT) for high-volume systems In-depth knowledge of data security , authentication , and authorization strategies Experience with SQL databases (e.g., PostgreSQL, SQL Server) and NoSQL databases (e.g., MongoDB, Redis) Experience with caching strategies (e.g., Redis, Memcached) Proficient in Docker - building, managing, and deploying containers Familiarity with data processing frameworks (e.g., Apache Kafka, Spark) is a plus Experience with CI/CD tools and version control (e.g., Git/GitHub) Preferred Qualifications: Experience with Kubernetes for orchestration of containerized workloads Background working on internal enterprise platforms or workflow systems Knowledge of data governance, encryption, and compliance best practices Strong scripting skills in Python , Bash , or similar Experience in the Oil & Gas industry is a plus

Dexian is a leading provider of staffing, IT, and workforce solutions with over 12,000 employees and 70 locations worldwide. As one of the largest IT staffing companies and the 2nd largest minority-owned staffing company in the U.S., Dexian was formed in 2023 through the merger of DISYS and Signature Consultants. Combining the best elements of its core companies, Dexian's platform connects talent, technology, and organizations to produce game-changing results that help everyone achieve their ambitions and goals.

Dexian's brands include Dexian DISYS, Dexian Signature Consultants, Dexian Government Solutions, Dexian Talent Development and Dexian IT Solutions. Visit https://dexian.com/ to learn more.

Dexian is an Equal Opportunity Employer that recruits and hires qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status.