Design, develop, and maintain scalable data pipelines using Microsoft Azure Fabric and Databricks.
Build reliable ETL/ELT processes for structured and unstructured data and ensure production-ready integration solutions.
Collaborate with business stakeholders to translate data requirements into technical solutions and take end-to-end ownership.
This company is a technology organization seeking a Senior Data Engineer to build scalable data pipelines on Azure and Databricks. It offers a fully remote, collaborative environment with global stakeholders and a focus on engineering ownership.
Write, debug, and optimize complex SQL queries to analyze marketing, CRM, inventory, and automotive data.
Investigate data discrepancies, perform quality assurance, and clean external datasets for reliable reporting.
Build and maintain dashboards and reports in BI environments while collaborating with a US-based team.
The partner company focuses on data-driven marketing, reporting, and business operations using advanced SQL and BI tools. It promotes a remote-first culture with a US-based reporting team and values accuracy, curiosity, and proactive problem-solving.
Annotate and label text, images, audio, or other content to support AI model training.
Evaluate AI-generated outputs such as search results and chatbot responses for quality and relevance.
Create and refine prompts while reviewing Greek linguistic and cultural accuracy.
This opportunity is a talent network for Greek-speaking contributors supporting AI model training through annotation, evaluation, and prompt creation. It is a global, remote community of independent contributors with flexible project-based work.
Design and develop automated data testing frameworks and validation pipelines for enterprise reporting and analytics.
Ensure data integrity and quality by executing validation routines, reconciliation, and profiling across ETL/ELT pipelines.
Provide technical leadership in test environment strategy, automation, and continuous improvement for data quality engineering.
Kemper is one of the nation's leading specialized insurers, providing affordable and easy-to-use personalized insurance solutions through its Kemper Auto and Kemper Life brands. With approximately $12 billion in assets and around 7,000 associates, the company values diversity, personal development, and a healthy work-life balance.
Lead strategic fraud-prevention initiatives focused on onboarding, KYC, and customer registration.
Develop and optimize antifraud strategies, rules, and controls to balance security, conversion, and customer experience.
Analyze fraud patterns and large-scale data to generate actionable insights for business and risk decisions.
This partner company operates in the security and IT sector, specializing in fraud prevention and identity verification. Its team is remote, collaborative, and dynamic, with a focus on innovation and growth.
Design and build scalable data pipelines on AWS using Python, PySpark, and Glue.
Develop AI agents and REST APIs using Amazon Bedrock and modern pro-code practices.
Work across the full engineering lifecycle from architecture to productionization.
This is a partner company hiring for a remote contract role through Jobgether. They focus on building production-grade AI, data engineering, and cloud solutions in a fast-moving environment.
Design target architectures and scalable data pipelines for enterprise AI systems.
Evaluate and select AI models based on performance, cost, latency, security, and governance.
Define and implement AI governance, compliance, privacy, and responsible AI frameworks.
Brillio is a fast-growing digital technology service provider helping Fortune 1000 organizations adopt innovative solutions. Recognized as a Great Place to Work, it offers professionals the opportunity to work with cutting-edge technologies.
Design and oversee data pipelines that transform real-time forecast data into location-specific farmer guidance
Build scalable, replicable weather data systems across geographies and dissemination channels
Bridge technical and non-technical teams to ensure data quality, system reliability, and stakeholder alignment
The hiring partner builds evidence-based weather data systems that support smallholder farmers with location-specific guidance. The organization operates in a fast-growing, collaborative environment across research, technology, program, and dissemination teams.
Guide business teams to transform knowledge into AI-ready materials and design agent conversations.
Configure, test, and improve AI agents using n8n or similar automation tools, with SQL support.
Act as an AI reference across teams, maintain the AI backlog, and document best practices.
This partner company leverages generative AI to improve business operations and customer experiences. The team values autonomy, collaboration, and continuous learning, offering a remote work environment.
Own the end-to-end Databricks data lake, dbt models, medallion layers, and data quality monitoring.
Build AI data infrastructure including embedding pipelines, vector stores, and feature stores.
Develop and maintain cloud databases, optimize analytics dashboards, and collaborate with cross-functional teams.
Quandri builds an AI operating system to transform insurance for North American agencies and brokerages. The company is a fast-growing startup recognized by LinkedIn and Deloitte, with a culture centered on ownership, curiosity, and execution.