Remote Data Jobs · ETL

Job listings

This role sits at the intersection of data analysis, machine learning operations (MLOps), and client insight delivery — combining technical depth with analytical storytelling. You’ll work end-to-end across the ML lifecycle: from data collection and cleaning, through model monitoring and deployment, to developing analytical dashboards that drive meaningful client insights. The role offers the perfect balance of impact and autonomy.

We’re looking for a Data Engineer to lead the integration of a React/Java application with Monday.com, ensuring smooth, reliable, and secure data synchronization between systems. The ideal candidate will architect scalable data flows, design synchronization strategies, and work closely with developers to deliver high-quality, maintainable solutions.

$248,000–$279,000/yr

This role involves driving technical vision and strategy for data infrastructure, building and maintaining sophisticated data pipelines, datasets, and analytical tools. Cross-functional initiatives to transform advertising products through data-driven insights are also a key part, with mentoring fellow engineers to deliver exceptional results.

Help drive the design, build, and scale of our data infrastructure, being responsible for architecting and maintaining multi-cloud data platforms, optimizing ETL pipelines, and ensuring data quality and availability across the organization. As a senior member of the Data Engineering team, deliver hands-on technical solutions, mentor junior engineers, guide best practices, and help shape the direction of our data engineering capabilities.

$46,400–$54,450/yr
US 2w maternity

The Renaissance Data Services team is responsible for the successful integration and configuration of data sources into a customer's product. A Data Analyst II obtains, adjusts, and validates data imported from other systems into Renaissance products and works directly with customers to obtain the data needed. They must be detail-oriented and able to spot data problems or inconsistencies and determine proper remediations.

$97,000–$130,000/yr

As a Senior Data Analytics Engineer on the Data Analytics Data Platform (DADP) team, you'll analyze, develop, and deliver business intelligence solutions using the Microsoft Analytics stack, working directly with clients to ensure their expectations and business decision-making tool needs are met. You will create scalable and reliable data solutions through data analytics solution development.

Lead the identification and analysis of business requirements within the BI context to develop strategic insights. Formulate data models that effectively transform raw data into actionable insights. Utilize advanced features of Power BI to create dynamic dashboards and interactive visual reports. Define and implement key performance indicators (KPIs) with specific objectives, ensuring their regular tracking and analysis. Translate business needs into comprehensive technical specifications and establish realistic project timelines.

Looking for a Mid Level Data Visualisation Engineer with strong knowledge in developing and maintaining data ingestion pipelines and integrating data from various sources, such as APIs, relational databases, files. Design, build, and optimize semantic data models in Power BI to support self-service analytics and enterprise reporting. Develop, maintain, and optimize Power BI dashboards, reports, and datasets, ensuring accuracy, usability, and performance.

Shape the future of how businesses and consumers interact, contributing to innovative solutions that provide a unified view of guest transactions across online and offline channels. Work on projects that have the potential to make a lasting impact, designing, implementing, and optimizing robust data workflows that enable both customers and internal teams to make smarter, faster decisions.

$87,000–$106,000/yr

Provides data conversion, business intelligence, and analytics services to Zuri Group’s clients, blending technical execution with consultative client engagement. You’ll work directly with clients to map and convert fundraising data from a variety of legacy systems into modern fundraising databases. Projects involve advising clients on software functionality and business process improvement.