Harnham
Senior Data Engineer
Harnham, New York, New York, us, 10261
Senior Data Engineer
Hybrid (1 day in office in NYC)
6-Month Contract-to-Hire
$60-$75/hr
Up to $140,000 Annual
Our client seeking a skilled Senior Data Engineer to join the Data & AI Platforms team, responsible for maintaining and advancing a comprehensive data ecosystem that supports B2B SaaS products. Their focus is on developing a robust platform that underpins our generative AI initiatives.
THE COMPANY
We are partnered with an innovative Series B start up that combines specialized financial industry expertise with advanced insights and analytical capabilities to deliver a strategic edge. Utilizing AI-driven decision tools, predictive analytics, and data-rich platforms, they empower clients to uncover emerging opportunities and make data-informed decisions that enhance long-term performance.
THE ROLECollaborate with a team of engineers and product managers to design and develop next-generation data and AI platforms.Support the migration of products from outdated infrastructure and assist product teams in leveraging our platforms for launching new products and generative AI applications.Design and build functionality for AI platforms that facilitates the development of high-quality multimodal generative AI applications, including tools for accuracy, evaluation, and implementation guardrails.Create and enhance data platform capabilities for scalable and reliable data ingestion, storage, validation, governance, monitoring, and ELT processes.Apply best practices in software, data, and ML/AI engineering, including those related to development lifecycle, testing, performance optimization, and scaling.Identify and integrate new technologies and tools to boost efficiency and productivity.YOUR SKILLS AND EXPERIENCE
A successful Senior Data Engineer for this role will likely possess:
3+ years experience in Data Engineering with advanced proficiency in Python and SQL.Experience with Spark is required, with Strong understanding of data engineering best practices, including ETL/ELT, data monitoring, observability, and validations.Deep understanding in handling big data, scaling data processing, distributed computing, and production support.Exposure to generative AI (including LLMs, RAG, AI agents) is preferred; other machine learning experience is also a plus.NICE TO HAVES
Databricks, Java, Scala
HOW TO APPLY
Please register your interest by sending your resume via the Apply link on this page.
Hybrid (1 day in office in NYC)
6-Month Contract-to-Hire
$60-$75/hr
Up to $140,000 Annual
Our client seeking a skilled Senior Data Engineer to join the Data & AI Platforms team, responsible for maintaining and advancing a comprehensive data ecosystem that supports B2B SaaS products. Their focus is on developing a robust platform that underpins our generative AI initiatives.
THE COMPANY
We are partnered with an innovative Series B start up that combines specialized financial industry expertise with advanced insights and analytical capabilities to deliver a strategic edge. Utilizing AI-driven decision tools, predictive analytics, and data-rich platforms, they empower clients to uncover emerging opportunities and make data-informed decisions that enhance long-term performance.
THE ROLECollaborate with a team of engineers and product managers to design and develop next-generation data and AI platforms.Support the migration of products from outdated infrastructure and assist product teams in leveraging our platforms for launching new products and generative AI applications.Design and build functionality for AI platforms that facilitates the development of high-quality multimodal generative AI applications, including tools for accuracy, evaluation, and implementation guardrails.Create and enhance data platform capabilities for scalable and reliable data ingestion, storage, validation, governance, monitoring, and ELT processes.Apply best practices in software, data, and ML/AI engineering, including those related to development lifecycle, testing, performance optimization, and scaling.Identify and integrate new technologies and tools to boost efficiency and productivity.YOUR SKILLS AND EXPERIENCE
A successful Senior Data Engineer for this role will likely possess:
3+ years experience in Data Engineering with advanced proficiency in Python and SQL.Experience with Spark is required, with Strong understanding of data engineering best practices, including ETL/ELT, data monitoring, observability, and validations.Deep understanding in handling big data, scaling data processing, distributed computing, and production support.Exposure to generative AI (including LLMs, RAG, AI agents) is preferred; other machine learning experience is also a plus.NICE TO HAVES
Databricks, Java, Scala
HOW TO APPLY
Please register your interest by sending your resume via the Apply link on this page.