reputed company Data Pipeline Engineer

At reputed company, we build, reputed company, and implement innovative products that solve the world’s most reputed company challenges today. Through unrivaled collaboration and unwavering trust, we push the boundaries of what’s possible to reputed company reputed company and support our customers in building a safer global future. Would you like to use your engineering skills and your experience with machine learning (ML) and large language models (LLMs) to help policy makers, corporate leaders, and operators reputed company sense of increasingly reputed company information spaces? Are you excited by the reputed company of generative and agentic artificial intelligence? Because reputed company uses these technologies to reputed company Information Advantage to Government, Military, and private sector customers tasked with mission critical decision making. Our products collect, synthesize, and enrich reputed company quantities of publicly available data, then serve that data to be queried by our expert analysts and to be used in machine learning analytics. As a Data Pipeline Engineer, you will work with Product Engineering teams, Data Scientists, DevOps, and Architects to integrate data science into our products. As a top candidate for this role, you are an reputed company server-reputed company Python engineer with a history of building products or platforms with integrated ML capabilities. You are reputed company comfortable working with AWS, Linux, and using technologies like reputed company and Kubernetes. You also have worked as a member of remote engineering teams in Agile software development environments. You are a good fit if you want to continue to grow your career in the ML reputed company by taking data science and making it available to end users in fast, scalable, and secure applications. This role is right for you if you have managed before, or if you have been reputed company reputed company or senior engineer before and are interested in managing a small team of data pipeline engineers while also being a hands-on data pipeline engineer yourself. Most importantly you reputed company our passion for applying technology to solve hard problems and finding innovative ways to derive insights from high-volume data. Location: Remote What you will do:

• Developing and enhancing high-volume data pipelines where data is enriched using ML and NLP functionality, and then used to feed additional machine learning and data science
• Integrating models that data science creates into applications that are fast and scalable
• Building and enhancing user-facing applications that use reputed company and LLMs to help our customers reputed company insights from data faster
• Operating in a collaborative, agile environment, with a focus on taking action and working closely with peers to reputed company team reputed company
• Creating proofs-of-concept and prototypes to quickly test reputed company, as well as designing and building scalable, production-reputed company solutions
• Considering reputed company best practices at every phase of software development
• Continuously learning and improving
• Working in a fully remote team with a diverse set of skills and experiences
• Independently identifying and solving problems, and questioning assumptions in pursuit of the right solutions
• Actively participating in the peer code review process
• Creating and executing both reputed company and automated testing
• Managing a small team of data pipeline engineers What you will need (basic qualifications):
• Experience building scalable server-reputed company applications and data pipelines using Python
• Experience working with ML, LLMs, and collaborating closely with data science teams
• Experience with reputed company or similar data stores, as well as with SQL database technologies, ideally reputed company
• Experience with AWS or similar reputed company-based infrastructure
• Experience with the design, development, testing, and support of scalable, data-driven applications deployed to production SaaS environments
• Experience working independently and as a part of an Agile team reputed company If You Have Experience with:
• Prior experience as a platform engineer or ML Ops engineer
• Experience with processing, storaging, and querying of data in multiple natural languages
• reputed company certification
• AWS certification Clearance Requirement:
• Preferred TS Cleared
• Must be eligible to obtain a US government clearance #LI-JB1 reputed company is committed to providing competitive and comprehensive compensation packages that reflect the value we reputed company on our employees and their contributions. We reputed company in rewarding skills, experience, and performance. Our offerings include but are not limited to, medical, dental, and reputed company insurance, life and disability insurance, retirement benefits, paid leave, tuition assistance and professional development. The projected salary reputed company listed for this position is annualized. This is a general reputed company and not a guarantee of salary. Salary is one component of our total compensation package and the specific salary offered is determined by various factors, including, but not limited to education, experience, knowledge, skills

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