Remote Data Jobs · AWS

We are looking for a motivated Data Engineer to join our growing data team. This is a great opportunity for someone early in their career to gain hands-on experience with modern data technologies. You will collaborate closely with senior engineers and analysts to build, maintain, and optimize scalable data pipelines and infrastructure.

We are looking for a highly skilled Data Engineer to join our team and contribute to the design, development, and optimization of data-driven financial solutions. The ideal candidate will have strong technical expertise and a collaborative mindset. You will develop and maintain robust data pipelines and scalable processing solutions, work with AWS services and collaborate with cross-functional teams.

Seeking a highly skilled Senior Data Analyst to support analytics and reporting for our AI and Generative AI solutions team. This role is ideal for someone who thrives in a fast-paced environment where data quality, accuracy, and independence matter. You will be responsible for defining, validating, and delivering data requirements, using data stored across AWS Aurora, DynamoDB, and Athena.

As a Senior Analyst in a well-funded Series B stage start-up, you will be defining our growth potential for years to come. You will be an integral part of Reserv’s data team, working with our customers to deliver high fidelity data and insights. For this role, we are seeking data analysts with strong Python and SQL skills, a curiosity for how claims work and how our systems work them, the ability to interface with customers from technical and non technical backgrounds and the ability to both run independently and collaborate with our engineering and operations orgs alike.

Seeking a motivated and detail-oriented Data Engineering Manager to join our Data Platform and Engineering team. The successful candidate will play a key role in operationalizing support workflows, incident response protocols, and data observability practices across our data platforms. Manage a small team of data engineers focused on operational support, reliability, and platform engineering.

This role is ideal for a technically skilled leader passionate about building scalable, high-performance data platforms, leading a team to design and maintain pipelines for millions of daily events, ensuring data reliability and accessibility, owning the architecture and optimization of a cloud-based data warehouse, and influencing the development of a Customer Data Platform.

This role requires prior, proven experience building highly scalable ETL pipelines using Databricks and AWS. Looking for someone who has successfully designed, implemented, and maintained large-scale data infrastructure in a production environment, you will report to the Data Science Manager and work closely with both our Data Science and Product teams.

Build efficient and robust data pipelines for large volumes of data, from internal databases and SaaS applications, using Fivetran, Airbyte or Python. Develop and optimize transformation data models using Redshift, Dbt, Dagster and other tools. Monitor and maintain our cloud data warehouse (Redshift) with timely and quality data.

You will lead the development and management of high-quality data labeling pipelines that support our large language models. This role involves building an internal labeling team, working closely with vendors, and designing scalable processes for data annotation. Your work will be critical to the success of our AI models, ensuring that they are trained on top-tier labeled data using crowdsourcing and other data collection techniques.

An experienced Data Engineer is needed to design, develop, and manage a global music data platform and ecosystem. This role will be responsible for advanced development of our enterprise data platform, orchestrating the full lifecycle of our production data, including ingress, egress, storage, federation, lineage, insights, and analytics across multiple sources and targets. The position offers the ideal candidate an opportunity to be a thought leader and influencer within and across the department, company, and market.