Remote Data Jobs · AWS

Lead Docker's Data Engineering team and drive the strategic evolution of data analytics across the company. Requires deep technical expertise in modern data platforms, strong leadership skills, and the ability to translate business needs into robust data solutions that scale with Docker's growth.

Lead and expand one of Zus's Data Acquisition (DA) teams, responsible for collecting health data from various sources and making it useful for the Zus platform. Build tools that interact with external health data networks to collect information and load it into Zus data stores. Develop and manage services used by customers to request data.

We are seeking a Data Scientist to support digital transformation initiatives. The contractor will be responsible for analyzing complex datasets, developing data pipeline strategies, and implementing AI/ML models to transition operations from reactive to predictive. This role requires both technical expertise and business acumen to ensure data-driven insights lead to tangible process improvements.

Build infrastructure for ingestion, transformation, and loading an exponentially increasing volume of data. The role includes building an organic entity resolution framework and developing CI/CD pipelines and anomaly detection systems. You will be dreaming up solutions to largely undefined data engineering and data science problems.

Be crucial in accelerating efforts to build standalone data products that enable data teams and independent developers to create innovative solutions at massive scale. Continuously improve existing datasets as well as pursuing new ones. Use and develop web crawling technologies to capture and catalog data on the internet. Support and improve our web crawling infrastructure.

Build a world‑class data and analytics platform that will reshape automotive retail. You’ll lead the engineering discipline that powers our data lake, warehouse, real‑time clickstream, and applied AI—turning large‑scale data into trusted, high‑impact products our customers use every day.

We are looking for a passionate Senior Security Data Analyst/Python Developer to help us parse, transform, and analyze dirty data. The ideal candidate has a thorough understanding of Python, Data analysis techniques, AWS, ETL patterns, and Automation techniques. You will parse and transform structured and unstructured datasets, build Python-based automation for the parsing platform, and bring order to dirty and/or unstructured data.

You’ll play a key role in designing and scaling the infrastructure and pipelines that power the product features, analytics, and machine learning across Sonatype. You’ll work closely with stakeholders across product, engineering, and business teams to ensure data is reliable, accessible, and actionable. This role is ideal for someone who thrives on solving complex data challenges at scale and enjoys building high-quality, maintainable systems.

Help manage the data platform, extend its impact to best support critical data workflows. Build, test, document, and deploy reliable data pipelines, working with diverse systems. Proactively contribute to the evolution of the Data Analytics Platform by proposing new ideas and exploring innovative big data tools.

You'll play a key role in designing, building, and maintaining the systems that power our analytics, personalization, and financial insights. You’ll collaborate closely with product and engineering to ensure that high-quality, reliable data drives every decision we make and every experience we deliver.