Lead Data Engineer

Job-ID: 399521Sector: Technology and ITLocation: Houston, TXContract: PermanentPosted: 2026-10-11Deadline: 0001-01-01Our client is seeking a Lead Data Engineer to join their team. As a Lead Data Engineer, you will be part of supporting data infrastructure and analytics initiatives. The ideal candidate will demonstrate strong leadership, innovative thinking, and collaborative skills which will align successfully in the organization.Job Title: Lead Data EngineerLocation:Houston, Texas- (4 days onsite) – Open to relocation w/ 15K sign-on bonusPay Range:$146,100 - $210,000 + bonusWhat's the Job?Design and implement scalable and reliable data pipelines to ingest, process, and store diverse data at scale, utilizing technologies such as Apache Spark, Hadoop, and Kafka.Work within cloud environments like AWS or Azure to leverage services including EC2, RDS, S3, Lambda, and Azure Data Lake for efficient data handling and processing.Architect and operationalize data pipelines following Medallion Architecture best practices within a Lakehouse framework—ensuring data quality, lineage, and usability across Bronze, Silver, and Gold layers.Develop and optimize data models and storage solutions (Databricks, Data Lakehouses) to support operational and analytical applications, ensuring data quality and accessibility.Lead the Data Management Community of Practice, serving as the primary facilitator, coordinator, and spokesperson. Drive knowledge sharing, establish best practices, and represent the data engineering discipline across the organization.What's Needed?Bachelor's Degree in Computer Science, MIS, or other business discipline and 10+ years of experience in data engineering, with a proven track record in designing and operating large-scale data pipelines and architectures.Demonstrated experience designing and implementing Medallion Architecture in a Databricks Lakehouse environment, including layer transitions, data quality enforcement, and optimization strategies.Expertise in developing ETL/ELT workflows.Comprehensive knowledge of platforms and services like Databricks, Dataiku, and AWS native data offerings.Solid experience with big data technologies (Apache Spark, Hadoop, Kafka) and cloud services (AWS, Azure) related to data processing and storage.What's in it for me?27 days of PTO and 10 paid holidays in a full year.25% bonus and the vehicle program.Opportunity to work in a dynamic and innovative environment.Engage with cutting-edge data technologies and methodologies.Collaborate with a diverse and talented team committed to excellence.Upon completion of waiting period consultants are eligible for:Medical and Prescription Drug PlansDental PlanVision PlanHealth Savings AccountHealth Flexible Spending AccountDependent Care Flexible Spending AccountSupplemental Life InsuranceShort Term and Long Term Disability InsuranceBusiness Travel Insurance401(k), Plus MatchWeekly PayIf this is a role that interests you and you'd like to learn more, click apply now and a recruiter will be in touch with you to discuss this great opportunity. We look forward to speaking with you!About ManpowerGroup, Parent Company of: Manpower, Experis and Talent Solutions.Experis is a global leader in technology services and part of the ManpowerGroup (NYSE: MAN) family of brands. We connect skilled technology professionals with meaningful opportunities where they can grow their careers, expand their expertise and make a real impact. Guided by the belief that it takes Human Ingenuity to unlock the true potential of technology, Experis helps people gain experience with leading organizations, build sought-after skills and take the next step toward a brighter future. Backed by ManpowerGroup's 75+ years of workforce expertise and global reach across more than 70 countries and territories, Experis brings the scale, insight and opportunity to help people and businesses thrive. ManpowerGroup is consistently recognized for its commitment to inclusion, ethics and responsible business, including being named one of the World's Most Ethical Companies. Learn more at Experis.com.