Remote Data Jobs β€’ Airflow

32 results

Job listings

Data Engineer (Contractor)

Jeeves πŸ’³πŸ’Έβš™οΈ

Help scale the data infrastructure that powers our payments platform. You’ll be responsible for building and maintaining robust, efficient data pipelines and models that support everything from operational reporting to product insights. This is a hands-on role focused on developing and optimizing the modern data stack.

Senior Data Engineer

Madhive πŸ“‘πŸβš™οΈ
$145,000–$210,000
USD/year

Join Madhive's growing data engineering team as a Senior Data Engineer, where you'll play a crucial role in scaling the infrastructure that powers our universal pixel and transforming high-volume event data into reliable, actionable signals. You’ll work closely with cross-functional teams to build robust, scalable pipelines and models, while helping ensure high data quality across our platform.

Senior Data Engineer

SAVii βœ¨πŸŒπŸš€

As a Senior Data Engineer, you will be a core contributor to the development and maintenance of scalable, secure, and high-performance data pipelines, collaborating with product, analytics, and engineering teams to ensure reliable data availability across the organization. You'll also play a critical role in mentoring junior engineers, adhering to engineering best practices, and proactively improving our data infrastructure.

Data Engineer

Kraken πŸ™πŸŒŠπŸ’°

As a Data Engineer at Kraken, you’ll be responsible for building and maintaining high-performance data pipelines, ensuring the reliability and scalability of our data infrastructure, and enabling teams across the company to access clean, consistent, and timely data. You’ll work with modern technologies and large-scale datasets, playing a key role in making data accessible for analytics, machine learning, and product innovation.

Senior Staff Data Engineer

SecurityScorecard πŸ›‘οΈπŸ“ŠπŸŒ
$105,000–$140,000
USD/year
US Unlimited PTO

We are looking for a Senior Staff Data Engineer to build commercial products and deliver reliable, scalable, and maintainable applications. You will lead projects from start to finish, collaborating with Product Managers to define requirements and implement solutions. The role focuses on simplicity and enhancing system performance, stability, and user experience, while mentoring other engineers and ensuring high-quality, testable software.

Senior Data Engineer

United States Engineering πŸ’―πŸ’―πŸ’―

Seeking a skilled Data Engineer to join our team and drive our data infrastructure forward. In this role, you will primarily focus on maintaining and enhancing our data warehouse and pipelines (80%) while also contributing to data analysis and reporting initiatives (20%). You'll work closely with cross-functional stakeholders to build robust data solutions and create actionable insights through compelling visualizations.

Senior Data Engineer

Syrup πŸŒπŸ―πŸš€
$140,000–$180,000
USD/year

As a Senior Data Engineer, you will drive the development of our groundbreaking data ingestion and processing pipeline. This role offers a unique opportunity to contribute to a predominantly greenfield project in a fast-growing, machine-learning startup. You will collaborate with a dynamic team of data scientists, software engineers, business experts, and visionaries. In this critical role, you will revolutionize inventory decisions for apparel brands.

Senior Data Engineer

Ditto βš™οΈπŸ”—β˜οΈ

As the founding Data Engineering hire, you will lay the tracks that let our teams turn product, operations, and GTM data into decisions quickly and reliably. This role sets up our end-to-end data platform so every team has trustworthy, timely, self-serve insights, directly supporting our mission of resilient data everywhere.

Data Analytics Manager

Roofr πŸ πŸ€–βš οΈ

As a Data Analytics Manager at an early stage and high-growth company, you’ll play a critical role in turning raw data into insights that shape product decisions, drive strategy, and improve the customer experience. This is a hands-on leadership role for someone excited to define and execute a modern data strategy in a high-growth environment.