Tiger Analytics

Delivers Data and AI transformation

GenAI Data Engineer

Data EngineeringConfirmed live in the last 24 hours

Full-timeHartford, CT, USANo salary listedRemote

About the Job

Requirements

Design and implement robust data pipelines that ingest, process, and store unstructured data formats at scale within Snowflake and Google Cloud Platform (GCP).
Leverage Snowflake unstructured data capabilities, including Directory Tables, Scoped URLs, and Snowpark, to make dark data queryable and actionable.
Build and maintain cloud-native ETL/ELT processes using BigQuery, Cloud Storage, and Dataflow, ensuring seamless integration between GCP and Snowflake.
Integrate artificial intelligence tools, including optical character recognition (OCR), natural language processing (NLP) entities, and Document AI, into the engineering flow to transform unstructured data into structured insights.
Tune complex SQL queries and Python-based processing jobs to handle petabyte-scale environments efficiently.

Responsibilities

Design, build, and maintain data pipelines, data integration processes, and data infrastructure.
Collaborate with data scientists, analysts, and other stakeholders to ensure efficient data flow and support data-driven decision-making across the organization.

GenAI Data Engineer

Tiger Analytics Inc. · Hartford, United States (Remote) · Full-time · Posted 2026-05-14

Workplace: remote

Department: Data Engineering

Description

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best analytics global consulting team in the world.

We are seeking an experienced Data Engineer with expertise in Dataiku to join our data team. As a Data Engineer, you will be responsible for designing, building, and maintaining data pipelines, data integration processes, and data infrastructure. You will collaborate closely with data scientists, analysts, and other stakeholders to ensure efficient data flow and support data-driven decision making across the organization.

Requirements

Design and implement robust data pipelines that ingest, process, and store unstructured data formats at scale within Snowflake and GCP.
Leverage Snowflake’s unstructured data capabilities (Directory Tables, Scoped URLs, Snowpark) to make "dark data" queryable and actionable.
Build and maintain cloud-native ETL/ELT processes using BigQuery, Cloud Storage, and Dataflow, ensuring seamless integration between GCP and Snowflake.
Instead of just using LLMs, you will integrate AI tools (OCR, NLP entities, Document AI) into the engineering flow to transform unstructured blobs into structured insights.
Tune complex SQL queries and Python-based processing jobs to handle petabyte-scale environments efficiently.

Benefits

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, challenging, and entrepreneurial environment, with a high degree of individual responsibility.

Apply

Apply at Tiger Analytics Inc.

About the Company

Tiger Analytics

Delivers Data and AI transformation

Tiger Analytics helps large organizations plan and execute Data and AI–led transformations at scale. It works with clients to translate business needs into data and AI initiatives, using an approach that combines business value mapping, agile operating models, and a platforms-based architecture, backed by partnerships with major hyperscalers. The company designs and delivers end-to-end data and AI solutions—from strategy and data engineering to model development and deployment—so that AI can be applied to tough, real-world problems. Unlike firms that rely mainly on standard playbooks, Tiger Analytics builds custom approaches and accelerators to suit each client’s value chain and operating model. With a global team of 5000+ technologists and consultants, the goal is to enable measurable value and practical outcomes through data and AI programs that work at enterprise scale.

Company size: 1,001-5,000
Company stage: Not listed
Total funding: Not listed
Headquarters: San Jose, CA
Founded: 2010

Recently Posted Jobs

Explore more opportunities at Tiger Analytics

See more jobs