Remote Data Jobs

Job listings

  • Analyze data, develop queries and automation, and translate business challenges into actionable technical solutions.
  • Lead cross-functional project activities, ensuring deliverables align with objectives, timelines, and stakeholder expectations.
  • Use tools like Tableau, SQL/Oracle, and Microsoft Office to generate insights and support strategic decision-making.

Jobgether uses an AI-powered matching process to review applications and share top candidates with hiring companies. It is a job platform that supports remote work and offers opportunities across various industries.

  • Design, build, and maintain scalable data pipelines and automation systems for cloud cost intelligence.
  • Develop robust datasets and data models enabling cloud cost visibility, attribution, usage analysis, and performance insights.
  • Partner with Engineering and Finance teams to support cloud cost optimization initiatives and ensure strong data quality and reliability.

A technology company focused on cloud cost visibility and optimization, building data foundations that help teams understand and manage cloud spending. It offers a remote-first, collaborative environment with opportunities to work alongside experienced engineers and business stakeholders.

$225,000–$250,000/yr

  • Design and implement production-grade machine learning systems for property valuation.
  • Partner with technical leadership on novel statistical methodologies.
  • Build interpretable models and rigorous evaluation frameworks.

A technology company focused on residential real estate valuation, building statistical and machine learning systems used across the United States. The culture emphasizes technical excellence, collaboration, and mentorship as the Data Science team grows.

  • Design and optimize ETL/ELT pipelines using Matillion and Python.
  • Build and maintain cloud data warehouses in Snowflake with strong SQL and performance tuning.
  • Collaborate with stakeholders and engineering teams to deliver reliable data solutions.

The company helps organizations build scalable, reliable cloud data platforms using modern technologies like Snowflake and Matillion. It operates in a collaborative, agile environment with a focus on innovation and high-quality delivery.

  • Own the technical architecture of data systems and pipelines that ingest and transform massive hospitality data volumes.
  • Map out current architecture, design future state, and set standards for data engineering at scale.
  • Embed AI strategy into integrations architecture and collaborate across teams to drive technical excellence.

Lighthouse is a hospitality AI platform that revolutionizes commercial strategy by transforming the world's largest hotel data network into real-time intelligence. With 850+ teammates across 35 countries and $370M in Series C funding, we foster a collaborative, innovative culture focused on customer success.

  • Develop and maintain scalable, resilient data pipelines using PySpark and distributed processing frameworks.
  • Modernize legacy processes and design data solutions on AWS, building data products and complex transformations.
  • Support data quality and optimization initiatives, collaborating with stakeholders to translate requirements into technical solutions.

Jobgether is an AI-powered job matching platform that connects candidates with hiring companies. It focuses on efficiency and fairness in recruitment, promoting diversity and inclusion in the workplace.

  • Design and evolve data environments within Microsoft Azure, building scalable pipelines and architectures.
  • Translate business needs into practical, data-driven technical solutions across engineering and data science.
  • Ensure data is organized, reliable, and accessible to support meaningful business decisions.

Jobgether is a platform that uses AI to match candidates with job opportunities, partnering with companies to streamline hiring. They focus on innovation and efficiency, offering a collaborative environment for professional growth.

  • Turning complex business questions into structured analytical solutions and actionable recommendations.
  • Developing robust reporting and visualisations that drive business understanding and decision-making.
  • Analysing customer, commercial, and marketing performance data to identify growth opportunities.

Inspiring Vet Care is a leading veterinary services provider in Europe and North America with over 2,500 clinics and 41,000 employees across 20 countries. They champion the long-term health and welfare of animals, supporting around 25,000 animals daily with a culture of innovation and data-driven insight.

  • Design and maintain robust ETL/ELT pipelines using Azure and Databricks.
  • Collaborate with business and data science teams to operationalize AI/ML models.
  • Implement CI/CD practices, data governance, and quality controls.

The hiring company is a technology-driven organization focused on building scalable data ecosystems in a cloud-first environment. It fosters a collaborative culture with emphasis on innovation, continuous learning, and inclusive practices.

  • Design, develop, and maintain enterprise data integration solutions using Talend and related tools.
  • Build scalable ETL/ELT pipelines and support production environments with strong SQL and API integration.
  • Collaborate with cross-functional teams and apply AI-assisted tools to enhance data quality, governance, and compliance.

The hiring partner is an organization focused on enterprise data integration and modernization initiatives, often serving regulated sectors. They offer a remote, collaborative environment with a distributed technical team and exposure to AI-assisted development tools.