Senior Data Engineer

Looking for a Senior Data Engineer Location: Hybrid, Houston, TX 77002 | Pay: $85/hr – 90/hr on W2 Duration: 4+ months (extensions possible) Please Note: W2 ONLY - Per Client Requirement NO C2C, H1B, 1099, F1 – CPT & OPT • Must be located/authorized to work in the USA without requiring visa sponsorship or transfer now or in the future. No C2C inquiries, please If interested, please email your resume to grace.johnson@motionrecruitment.com Role Our client is seeking an experienced Senior Data Engineer to design, build, and optimize enterprise data solutions that enable advanced analytics and data-driven decision making. This individual will lead data engineering initiatives, develop scalable data pipelines, and partner closely with business stakeholders to deliver high-quality data platforms that support current and future business needs. This is a hands-on technical role requiring strong cloud data engineering experience, excellent problem-solving skills, and the ability to work independently while collaborating across technical and business teams. Responsibilities Design, build, and maintain scalable data pipelines and data integration solutions. Develop and implement enterprise-grade big data platforms supporting analytics and reporting. Optimize data processing, storage, and pipeline performance. Partner with business stakeholders to understand data requirements and translate them into technical solutions. Lead data engineering efforts across moderate-complexity projects. Support modern data architecture and identify opportunities to improve development, testing, and deployment processes. Collaborate with cross-functional teams using Agile methodologies. Ensure data quality, reliability, and scalability across solutions. Mentor team members and provide technical leadership when appropriate. Required Qualifications: MUST HAVE: Bachelor's degree in Computer Science, Engineering, Information Systems, or related field 7+ years of Data Engineering experience. Strong experience building enterprise data pipelines. Experience with cloud-based data platforms - Azure Hands-on experience with Databricks, Spark, SQL, and Python. Experience with Azure Data Factory, Data Lake technologies, and ETL/ELT processes. Experience with CI/CD and modern deployment practices. Experience working in Agile environments. Experience supporting advanced analytics and reporting platforms. Experience leading technical workstreams or mentoring other engineers. Experience working in large enterprise environments. Strong communication skills with the ability to work directly with business stakeholders.