Software Engineer (Data Engineering)

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