Tiger Analytics Inc.
GenAI Data Engineer
Remote role where the employee must remain based in a particular country.
United States only
Employer listed it 4 months ago · Found 1h ago
Been open since 4 months ago. Long-running listings are sometimes left up after the role is filled.
Salary
Not stated
Location
United States only
Timezone
US East
Contract
Full-time
Experience
Mid
Category
Data
This employer didn't state pay. Jobs like this usually pay around $110k–$205k a year, a typical range taken from 231 mid-level data roles on Nomaders that do state pay. It's a guide, not an offer.
Remote flexibility
Work from home
This is a remote role, but the employee must be based in United States. It is work from home rather than work from anywhere.
What the employer says
- Source listing states candidate location: "Hartford, United States, Hartford, Connecticut, United States, Hartford, Connecticut, United States, Remote"
What Nomaders makes of it
- Residency required in United States
- Payroll and tax are likely handled in that country only
The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.
About the role
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.
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
No benefits package published with this listing. Ask about it at first interview.
How to apply
- 1Check the flexibility label above, work from home, matches where you plan to live and work.
- 2Tailor your CV to the role at Tiger Analytics Inc., mentioning your remote working experience and working hours (US East).
- 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.
Found 2h ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.
Listing sourced from Company boards.
Similar roles
Other open data roles with comparable remote rules.
Free to apply, no account needed.
Typically $110k to $205k per year · You'll be taken to the employer's careers page.