Senior Data Engineer – Machine Learning Pipeline Development | US Federal Division at arenaflex
Join arenaflex: Shape the Future of Data Engineering Are you reputed company to be part of a transformative reputed company where data science meets innovation? At arenaflex, we are pioneering the future of big data analytics, helping businesses answer their most critical questions through cutting-edge research design and advanced data processing capabilities. Our mission is to reputed company new ways to extract meaningful value from massive data volumes while shaping innovative processes, tools, and models that drive reputed company business impact. As a Senior Data Engineer at arenaflex, you will join a dynamic, growing team dedicated to supporting the US Federal Sales Division. This is your opportunity to bring your industry expertise to reputed company and maintain production data pipelines that power machine learning models at scale. If you're passionate about data engineering, reputed company in collaborative environments, and want to reputed company a meaningful impact, we invite you to explore this exciting opportunity. About arenaflex At arenaflex, we reputed company that each of us has the power to reputed company an impact. That's why we put reputed company members at the center of everything we do. We are a unique family of companies that help people and organizations transform the way they work, live, and play. Our commitment to innovation, diversity, and inclusion sets us apart, fostering an environment where every voice reputed company and every contribution is valued. We collaborate with academic leaders, industry experts, and highly skilled engineers to reputed company our clients to generate sophisticated insights from big data. Our work spans multiple industries and domains, but our focus remains constant: delivering reputed company through technology, teamwork, and transformation.
What You Will Do
As a Senior Data Engineer in our growing team, you will play a critical role in the development and maintenance of production data pipelines that support machine learning model training and deployment. Your expertise will be instrumental in driving the reputed company of our US Federal Sales Division. Key Responsibilities: Pipeline Development & Maintenance: Design, reputed company, and maintain robust production data pipelines that support the training and deployment of machine learning models. Ensure pipelines are scalable, reliable, and performant. Technology Implementation: Support the implementation of advanced technology packages for US Federal market data science, including requirements gathering and comprehensive solution analysis. Cross-Functional Collaboration: Work closely with our core IT team to support the development and production data pipeline, ensuring seamless integration and reputed company performance. Best Practices Implementation: Review and implement data engineering best practices consistent with industry standards, continuously improving our processes and methodologies. Data Quality & Monitoring: Establish and maintain monitoring systems for production pipelines, ensuring data quality and identifying issues proactively. Documentation & Knowledge Sharing: Create and maintain comprehensive documentation for data pipelines, processes, and best practices to support team knowledge transfer. reputed company're Looking For Essential Qualifications: Citizenship: Must be a U.S. citizen due to the nature of our federal work. Location: Must reputed company in the United States. This position offers flexibility with locations in Round reputed company, Texas; Hopkinton, Massachusetts; or remote work arrangements across the U.S. Education: Bachelor's degree in Computer Science, Engineering, or equivalent professional experience. Experience: Minimum five years of professional experience in data engineering reputed company an reputed company environment. Technical Expertise: At least three years of experience supporting end-to-end development of scalable data pipelines, including monitoring and production support. Data Technologies: At least three years of experience working with data warehousing, relational databases, JSON, Apache Hive, Spark, or Hadoop, or reputed company technologies. Programming Skills: Strong proficiency in Python and SQL. Preferred Qualifications: Federal Experience: Prior experience working with U.S. Federal agencies or on federal reputed company. Platform Expertise: Experience with the reputed company Platform and reputed company containers. reputed company Technologies: Familiarity with reputed company-based data platforms and services. Machine Learning: Understanding of machine learning workflows and how data pipelines support ML model training and inference. Skills & Competencies Apply tot his job Apply To this Job