Jobs via Dice

Data Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Engineer position based in Houston, Texas, offering a contract-to-permanent opportunity. Key skills include proficiency in Apache Spark and Python, experience with ETL processes, and knowledge of Apache Kafka and Hadoop.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
April 2, 2026
🕒 - Duration
Unknown
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Houston, TX
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🧠 - Skills detailed
#Documentation #Scala #Security #.Net #Apache Kafka #Data Management #"ETL (Extract #Transform #Load)" #Data Engineering #Automation #Data Pipeline #Data Security #Kafka (Apache Kafka) #Data Processing #Apache Spark #Python #Hadoop #Spark (Apache Spark) #AI (Artificial Intelligence) #Scripting #Strategy
Role description
Dice is the leading career destination for tech experts at every stage of their careers. Our client, Robert Half, is seeking the following. Apply via Dice today! Description We are looking for a skilled Data Engineer to join our team in Houston, Texas. This Contract to permanent position offers an exciting opportunity to work at the intersection of data engineering, analytics, and business strategy. If you have a strong background in building and optimizing data pipelines and are passionate about leveraging technology to drive insights, we encourage you to apply. Responsibilities: Design, develop, and optimize scalable data pipelines and workflows to support business analytics. Collaborate with cross-functional teams to gather and analyze data requirements. Implement ETL processes to extract, transform, and load data from diverse sources. Utilize tools such as Apache Spark and Hadoop to manage large-scale data processing. Integrate streaming data systems using Apache Kafka to enhance real-time analytics. Monitor and troubleshoot data flow and systems to ensure high performance and reliability. Develop and maintain documentation for data engineering processes and systems. Ensure data security and integrity across all platforms and processes. Work closely with stakeholders to translate business needs into technical solutions. Stay updated with industry trends and emerging technologies to improve data engineering practices. Requirements Proficiency in Apache Spark for large-scale data processing. Strong experience with Python for scripting and automation. Familiarity with Apache Hadoop for distributed data management. Knowledge of Apache Kafka for real-time data streaming applications. Hands-on experience with ETL processes and tools. Ability to work collaboratively within a team environment. Excellent problem-solving skills and attention to detail. Strong communication skills to convey technical concepts to non-technical stakeholders. Technology Doesn't Change the World, People Do. Robert Half is the world's first and largest specialized talent solutions firm that connects highly qualified job seekers to opportunities at great companies. We offer contract, temporary and permanent placement solutions for finance and accounting, technology, marketing and creative, legal, and administrative and customer support roles. Robert Half works to put you in the best position to succeed. We provide access to top jobs, competitive compensation and benefits, and free online training. Stay on top of every opportunity - whenever you choose - even on the go. Download the Robert Half app and get 1-tap apply, notifications of AI-matched jobs, and much more. All applicants applying for U.S. job openings must be legally authorized to work in the United States. Benefits are available to contract/temporary professionals, including medical, vision, dental, and life and disability insurance. Hired contract/temporary professionals are also eligible to enroll in our company 401(k) plan. Visit roberthalf.gobenefits.net for more information. 2025 Robert Half. An Equal Opportunity Employer. M/F/Disability/Veterans. By clicking "Apply Now," you're agreeing to Robert Half's Terms of Use and Privacy Notice.