Remote Data Jobs β€’ AWS

87 results

Job listings

Senior Data Engineer

Spark Advisors βœ¨πŸ’‘πŸ€
$160,000–$185,000
USD/year
US 12w maternity 8w paternity

Spark is looking for a Senior Data Engineer to join our data team. As a Senior Data Engineer, you'll focus on building scalable backend systems, implementing modern data tools, and improving the data pipelines that serve as the foundation of our data ecosystem. You'll work closely with product, engineering, and the broader data team to ensure our data infrastructure meets both current needs and future growth.

Cassandra Database Consultant

Pythian βœ¨β˜οΈπŸ’Ύ

Focus on project work, debugging performance degradations, audits, and health checks. Design and help implement new Cassandra deployments and evaluate existing clusters and provide recommendations on best practices. Debug high priority issues on mission critical production environments and contribute to rapid brainstorming, designing and developing of prototypes.

Senior Data Engineer

SmarterDx πŸ₯πŸ§ πŸ“Š
$185,000–$200,000
USD/year
US Unlimited PTO 12w maternity

Advance clinical AI by building scalable pipelines and infrastructure for data ingestion, processing, and analysis. Integrate and standardize diverse healthcare data (clinical, coding, billing) and design resilient, fault-tolerant frameworks and data models leveraging AWS (S3, Lambda, Step Functions, Batch). This role spans the full data lifecycle, shaping the foundation for next-generation clinical AI solutions.

Data Engineer

Element πŸ§©πŸ’‘πŸ’
$120,000–$190,000
USD/year

Join the team on a temporary, 12 month project. As a Data Engineer, you will build and maintain the Unified Data Fabric serving as the foundation for a misleading marketing motoring and oversight system, responsible for ingesting, processing, and standardizing data from multiple sources including internal data sources and social media advertising platforms. You will help ensure the delivery of healthcare to millions of Americans by monitoring and preventing fraud, waste, and abuse.

Associate Data Scientist

J.D. Power πŸ“ŠπŸ’‘πŸš—

As part of the Valuation Services division of JD Power, you will work to understand what features drive a vehicle's price and predict future values. As a Data Scientist, you will utilize the latest technologies to solve challenging problems, enhance production machine learning processes, and deploy them into production with rigorous QC. This role involves working with internal stakeholders, presenting findings, documenting processes, and collaborating with technology and engineering teams.

Staff Data Engineer

NBCUniversal πŸŽ¬πŸ“ΊπŸŒŸ
$130,000–$170,000
USD/year

Looking to build the next generation of data pipelines and applications across the development of innovative new systems and solutions using a rapidly changing landscape of emerging technologies! Working across the practices, techniques and tools used for the operational management of large language models in production environments.

Senior Backend Software Engineer | Data Platform

Wellhub πŸ’ͺ🧘🍎
Brazil 1w PTO

We are hiring a Senior Software Engineer (Data Platform Engineer) to our Data Platform team in Brazil! The Data Platform Team is responsible for building and maintaining system components that pave the way for data engineers and analysts to deliver their business objectives. This team leverages open-source software, uses cloud infrastructure and services, and builds software to accomplish its mission.

Technical Team Lead – Data Platform (m/f/x)

Scalable Capital πŸ“ˆπŸ’°πŸ“Š

Lead the Data Platform team, playing a pivotal role in Scalable Capital’s data journey. Improve, extend, and automate data platforms, acting as a hands-on staff engineer while mentoring two talented data experts. Serve as the expert for data engineering and platform best practices, empowering data teams and promoting a data-driven culture.

Machine Learning Engineer

SweedPos πŸŒΏπŸ“¦πŸš€
4w PTO

As our ML Engineer, you’ll be part of a small, focused team building the foundation of our ML systems, working on impactful product features, collaborating with engineers and analysts, and having the freedom to experiment and learn to unlock massive value for the customers. You will develop and deploy ML models to power features like product recommendations, personalization, and demand forecasting.