Design, develop, test, deploy, maintain, and improve data systems and services. Perform code reviews and collaborate with peers on software solutions. Collaborate with engineers and product managers to understand data needs. Participate in Agile ceremonies and troubleshoot and fix production issues as they occur. Collaborative with the technical team to solve complex technical and design issues.
The Data Engineer I will support the design, development, and maintenance of data pipelines and workflows, assisting in data integration and transformation using tools like Python, T-SQL, SSMS, and Databricks. The role involves collaborating with other Data Engineers, working with healthcare data sets, translating business requirements into technical specifications, and participating in code reviews.
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.
The Data Science Intern role bridges the gap between data science and software development, offering an opportunity to contribute to the design, training, and deployment of advanced deep learning models. The team’s primary focus is on data classification: categorizing the contents of diverse data sources, including database tables, semi-structured data, and text, to detect data with special security and privacy requirements. The successful applicant will contribute to a central feature of a new workflow automation platform with applications in healthcare, higher education, and beyond. This is a remote position, with occasional in-person meetings.
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.