Senior Data Engineering Lead

Deliver client big data projects using Databricks

Lead and manage technical teams

Hire remote ML engineer

Develop user-facing financial products

Empower and educate DataHub users

Foster active engagement in developer communities

Build and scale predictive models for Roblox game success.

Develop and maintain robust data infrastructure.

Lead and mentor distributed data engineering teams

Drive strategic direction and execution of data platforms

Design and optimize scalable data architectures

Develop and maintain robust ETL processes

Develop GenAI solutions for cash flow platform

Work remotely from the Americas

Develop scalable AI solutions for business challenges

Lead end-to-end lifecycle of AI projects

Build predictive models for Roblox game success

Develop and scale data-driven marketplace infrastructure

Hire a remote Director of Engineering (Data)

Lead and manage data engineering teams

Develop AI-powered document generation POC

Implement RAG for enhanced model accuracy

Architect scalable AI content generation infrastructure

Automate and optimize Stable Diffusion workflows

Architect and optimize AI content generation workflows

Automate large-scale image and video processing pipelines

Guide technical vision and architecture for Wikidata Query Platform

Ensure stability, performance, and scalability of data services

Lead and mentor AI engineering teams

Drive technical and strategic direction for AI platforms

Establish robust QA strategies for data platforms

Lead testing of data migrations to Databricks

Provide expert AI and healthcare mentorship to students.

Host tech talks and deep-dive sessions on healthcare AI topics.

Empower and support developer community

Create and deliver technical content

Assist in creating and maintaining learning content related to data engineering, warehousing, and data science

Collaborate with technical experts to develop high-impact training materials

Develop and maintain business intelligence solutions

Collaborate with stakeholders to define requirements

Lead and manage BI functions

Synthesize data into actionable insights

Building and scaling data pipelines for large volumes of data processing

Implementing ETL processes for data integration

Hiring a remote Senior Data Engineer for full-time position.

Work can be done remotely anywhere in the United States.

Provide remote support to B2B SaaS companies

Enhance operational efficiency for clients

Lead QA strategy and execution for data platforms

Establish testing frameworks and methodologies

Build and maintain robust data systems for financial data

Collaborate with various teams to address business challenges

Helping clients understand and use technical solutions effectively

Providing technical expertise to clients with specialized needs

Building scalable data pipelines and enrichment workflows

Transforming raw data into accurate insights

Lead data initiatives aligning with company goals.

Oversee technical execution for data-related projects.

Develop data pipelines and workflows using Azure Data Factory

Ingest and transform data from Azure Blob Storage

Design, build, and maintain scalable data pipelines for the business

Ensure high quality, accuracy, and consistency in data provided

Design and develop learning materials for data-related topics

Collaborate with technical trainers and subject-matter experts

Empower Data Engineers to own data quality initiatives

Provide effective data quality solutions for businesses

Maximize profitability for sellers on major marketplaces

Build and scale large data pipelines for data analysis

Empower Data Engineers to own data quality initiatives effectively

Develop and enhance automated monitoring and pre-production testing

Enhance and expand the capabilities of Soda Core and Soda Cloud.

Collaborate with team members to solve real-world data engineering challenges.

Transform data into research-ready datasets

Design and maintain data pipelines for healthcare data

Hiring remote professionals for data engineering roles

Emphasizing people as a competitive advantage

Optimizing financial operations through data insights.

Automating financial reporting processes.

Develop AI systems for student performance enhancement

Optimize ML models for personalized recommendations

Enable informed decision-making through accessible data

Lead data vision and architecture for impactful insights

Facilitate valuable connections

Drive innovation through AI

Improve data infrastructure Optimize performance and accessibility Enable data-driven

g Collaborate with cross-functional teams Mentor and lead data