Remote Data Jobs · JavaScript

This role ensures clients receive technical support for SaaS solutions, focusing on data pipelines and integrations. Responsibilities include troubleshooting, optimizing data flows, and implementing solutions with SQL and Python. The role requires strong communication skills to explain complex issues and improve support processes through automation.

Join our team as an Analytics Engineer! This role focuses on designing, implementing, and optimizing digital analytics solutions using tools such as Google Analytics 4 (GA4), Google Tag Manager (GTM), and data layer frameworks. This position ensures accurate event tracking, scalable tagging infrastructure, and actionable insights to support data-driven decision-making across the company.

We’re looking for a US based Senior Data QA Engineer to join our high-performing, fully remote engineering team. This is a senior-level role for someone who thrives in fast-paced environments, excels at solving complex problems, and is comfortable leading technical initiatives across product, data, and analytics domains. You’ll take ownership of QA processes for mission-critical projects and collaborate closely with cross-functional teams to design scalable QA strategies.

Adswerve is seeking a Data Scientist to join the Technical Services team to solve complex data-related challenges for some of the biggest brands in the world. The work involves solving client problems with data engineering and data science solutions, applying marketing segmentation, and propensity modeling to surface insights out of marketing data warehouses.

The Senior Data Analytics Specialist will support current and future opportunities on high-priority projects for a large Federal agency. This role focuses on supporting external customers with analyzing current data and reporting needs, developing technical solutions using Power BI, implementing and testing technical reporting solutions, and supporting end users with reports.

The Data Scientist at Dataiku not only codes up solutions to real-world problems, but also participates in client-facing endeavors throughout the customer journey. This includes supporting their discovery of the platform, helping integrate Dataiku with other tools and technologies, some user training, and co-developing data science projects from design to deployment.

In this role, you’ll focus on enhancing our Python-based frameworks, optimizing SQL queries, and improving data access and performance within both the Snowflake and ServiceNow platforms. As a Senior Data Engineer, you will design and implement scalable, high-performance data models and pipelines that power analytics, dashboards, and data science initiatives across the organization.

Support strategic client implementations and optimization initiatives across the Adobe Experience Platform, with a focus on RTCDP, schema modeling, data pipelines and data modeling within AEP. Serve as a trusted advisor to clients, helping them design scalable data models across the AEP ecosystem. The ideal candidate will be able to develop and design data-driven experiences for our clients.

This role supports architecture, engineering, BI, and other special projects across the organization, managing and governing data through self-service tools. You'll offer technical expertise to architect solutions and solve emerging challenges, building data models, ensuring data quality, and supporting data lake processes.

Seeking an Adobe Analytics/CJA Engineer who understands the digital analytics space and has the ability to build and customize web analytics and tag manager implementations. The ideal candidate can implement Adobe Analytics and Customer Journey Analytics tracking for sites and mobile applications using the latest AEP WebSDK and Mobile SDK for our clients and work to become analytics implementation expert.