Seeking an English-fluent Data Engineer, based in Latin America, available to work remotely. The ideal candidate would enhance and maintain the infrastructure powering our analytics and data products, ingest new data from files, APIs, and external databases into a centralized data store. You would also implement and enforce data governance policies, ensuring adherence to best practices in data security, integrity, privacy, and regulatory compliance.
A Place for Mom is looking for a Sr. Machine Learning Engineer to build efficient, data-driven machine learning applications. The candidate should be highly skilled in statistics and programming, with the ability to confidently assess, analyze, and organize large amounts of data. The candidate should also be able to develop and optimize our machine learning models and algorithms.
This Cloud Data Architect role is an integral part of our Client Services team in LATAM. As a Cloud Data Architect you will be working with rapidly growing companies in North America\EMEA and around the world. Apply your hands-on experience & skills in a consultative manner to address our customers’ strategic and tactical needs around cloud technologies.
Design, develop, and deploy machine learning models that optimize pricing for thousands of products daily. Own the full ML pipeline—data wrangling, feature engineering, model development, deployment, monitoring, and continuous improvement. Partner with e-commerce experts to understand key drivers of revenue, conversion, and pricing dynamics.
Join a product start-up and expand the Big Data Engineering team. As a Big Data Engineer, you will be responsible for designing, developing, and optimizing large-scale data processing pipelines, collaborating with data scientists and software engineers to ensure the seamless integration of data solutions. Work with the latest Big Data tools and cloud solutions, collaborating with clients across the UK, US, and Europe.
Contributing to the delivery of scalable data architectures, and data product development & design best practices. Leading collaborations across data disciplines to develop, optimise and maintain data pipelines and solutions. Skilled at distilling business and analytics requirements into well-defined engineering problems.
The Data Engineer will support the Army’s Southeast Region Network Enterprise Center (RNEC) in developing and managing scalable data pipelines and advanced data integration capabilities and enabling real-time decision-making. The ideal candidate will bring hands-on experience in ETL development, cloud-based data platforms, and cross-domain data ingestion in support of Army analytics operations.
Reporting to the Senior Manager of Development and Operations, the role involves developing end-to-end data solutions with tools such as MWAA, Tableau, and Alteryx, as well as writing secure, stable, testable, and maintainable python code with minimal defects. The candidate will also collaborate with Engineering teams to discover and use data being introduced into the environment; troubleshoot data and perform detailed data analyses.
As a Sr Data scientist, you will play an important role in shaping our AI driven products and services. Your primary focus will be scouring our data warehouse, transforming large data into Machine learning ready datasets. You will further assist in developing, evaluating, A/B testing and deploying Machine learning models into production.
Work with both established RDBMS systems as well as innovative big-data technologies, playing a key role as a domain expert in database design, operation, and optimization. Collaborate with development teams to optimize database performance for mission-critical applications. Rigorously monitor, troubleshoot, and resolve complex database issues to ensure optimal system performance.