Remote Data Jobs • SQL

The ideal candidate will have a strong foundation in data analysis, data modeling, and problem-solving skills. You will be responsible for executing data exploration, root cause analysis of data issues, and ensuring the integrity and accuracy of our data systems. Collaborate with cross-functional teams to define business requirements and translate them into technical specifications.

In this pivotal role as Senior Data Engineer, you will be responsible for designing, developing, and maintaining robust data pipelines that ensure the reliable ingestion, transformation, and delivery of complex data (demographics, medical, financial, marketing, etc.) across systems. The ideal candidate will bring deep expertise in Databricks, SQL, and modern data engineering practices.

You’ll be a core part of a growing data team that operates similar to internal consultants. You’ll plug into high-impact initiatives across the business by helping partner teams unlock efficiency and growth through data. You’ll work cross-functionally with GTM, Product, Operations, and other teams to uncover insights, build tools and dashboards, and drive strategic recommendations.

Interns will learn more about how ALSAC became one of the most trusted nonprofits brands in the industry. ALSAC’s Program offers an immersive experience where interns experience company culture, contribute to organization’s goals through projects, and build relationships with team members and senior leadership. During the summer internship, interns are assigned to a day-to-day manager where they are with provided meaningful assignments.

As a Data Scientist, you will blend analytics, data mining, machine learning, and software engineering to build solutions that will result in massive improvements to the way the company does business. You will be responsible for developing and improving key decision systems and predictive models to drive maximum business impact and develop a profound understanding of customers, business processes, products, and financials by studying the data.

We are looking for passionate individuals aiming to build a rewarding career in Enterprise Artificial Intelligence (AI). Candidates selected for this program will undergo comprehensive training in cutting-edge AI technologies and will later be placed in significant AI projects for major global enterprises.

Design, develop, and deliver strategic data-centric insights by leveraging next-generation analytics and BI technologies. This is not a traditional reporting role—we seek someone who is data-centric, insight-driven, and eager to drive meaningful impact through innovative, scalable solutions. This role is perfect for someone who wants to enable innovation and growth, is passionate about data storytelling, and brings a future-forward mindset. Become an expert on internal and external data trends relevant to Netomi’s business and product ecosystem.

Apply your expertise in marketing analytics, data mining, and the presentation of data to see beyond the numbers and understand how our users interact with our marketing campaigns and how those insights can inform our marketing strategy. Guide and enable the performance marketing and brand team to measure things that matter. Build and apply our marketing measurement and forecasting solutions to optimise and drive growth.

CapTech Data Architects match our clients’ business goals with available technologies when developing a strategy for a successful data delivery implementation. They improve our clients’ business value by enhancing data use, improving effectiveness of information stewardship, and streamlining data flows. They apply experience-based insight and use state-of-the-art tools and techniques to identify the best solutions.

Drive personalization, recommendation, and product marketplace improvement efforts. Should think like a Grailed user as well as a business owner, understanding how data impacts a fashion-forward user experience. This key role will operate at the intersection of Data, Product, Engineering, and Marketing, working cross functionally to develop compelling data products.