Data Engineer + Gen AI (In-Person @ NYC)

NucleusTeq • New York, NY

1d • Hybrid

About The Position

NucleusTeq is a global leader in software services, specializing in Generative AI, Machine Learning, Data Modernization, Cloud Computing, and Enterprise Automation. Headquartered in Phoenix, Arizona, the company empowers Fortune 100 enterprises with innovative, AI-driven solutions, scalable architectures, and comprehensive data transformation services. Leveraging its proprietary platform, NuoData, NucleusTeq delivers cutting-edge capabilities in data governance, real-time analytics, and enterprise AI/ML frameworks. With advanced automation, scalable cloud solutions, and robust security integrations, NucleusTeq drives digital transformation for businesses worldwide. This role is for a Data Engineer with expertise in Generative AI, focusing on designing and building high-performance, scalable data platforms. The position involves leading a team, collaborating with product teams, and understanding product roadmaps to translate them into engineering artifacts. The role emphasizes engineering excellence by adopting DevOps principles.

Requirements

• Bachelor's degree in computer science, Engineering, or a related field.
• Experience with Google Cloud Platform services (Big Query, Dataflow, Dataproc, Pub/Sub, Cloud Storage, Composer, etc.).
• 6+ years of software development experience with hands-on expertise in coding in Java/Python/Scala.
• 3+ years of experience in creating low code/no code ETL tool for setting up large scale data transformation on Google Cloud Platform Cloud
• Strong SQL, RDBMS skills. Expert in writing complex SQLs for different databases such as Hive, MySQL, Postgres etc. Proficiency in working with NoSQL databases as well
• Experience working with Spark, Big Data and Hive
• Experience in Git Management including PR reviews, maintaining code hygiene
• In-depth understanding of data warehousing concepts, dimensional modelling, and data integration techniques
• Experience in optimizing high volume data processing jobs.
• 3+ years experience in writing APIs
• Knowledge of High availability and DR setup.
• Understanding of Generative AI concepts, including LLMs (Large Language Models), prompt engineering, embeddings, and vector databases.
• Experience integrating GenAI capabilities into data platforms (e.g., semantic search, AI-driven analytics, automated data insights).
• Excellent communication and analytical skills
• Excellent team-player with ability to work with global team

Nice To Haves

• Master's degree
• Google Cloud Platform professional certification - Data Engineer/Cloud Architect
• Hands-on experience on CICD pipelines, Automated test frameworks, DevOps and source code management will be a big plus (XLR, Jenkins, Git, Stash, Jira, Confluence, Splunk etc.)
• Experience working in Agile/SAFe framework for development

Responsibilities

• Designing and building high performance, and scalable data platforms
• Leading a team of multiple enthusiastic and skilled engineers to drive product development and adoption
• Effectively collaborating with product teams from business groups to understand the product roadmap and vision and translate that into engineering artifacts
• Working with a variety of teams and individuals, including platform engineers, use case owners, and analytical users to understand their needs and come up with innovative solutions
• Following the Amex-way of building engineering products that leads to engineering excellence by adopting DevOps principles

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level