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.
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.
This role is ideal for someone who enjoys working across high-volume telemetry sources, optimizing data workflows, and solving schema drift challenges in real-world distributed environments. You’ll be part of the Security Data Platform and ML Engineering team, helping to onboard and normalize security data that powers analytics, detection, and ML workflows across Adobe.
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.
We are looking for a lead-level software engineer to lead the charge on a team of like-minded individuals responsible for developing the data architecture that powers our data collection process and analytics platform. If you have a passion for optimization, scaling, and integration challenges, this may be the role for you. You will work with product and engineering leaders to define data solutions that support customers’ business practices.
Participates in planning, definition, and high-level design of data solutions, exploring alternatives and evaluating new technologies. Develops and maintains scalable cloud-based data infrastructure, ensuring alignment with the organization's decentralized data management strategy. Designs and implements ETL pipelines using AWS services. Establishes and enforces data governance practices, including compliance with data privacy, access controls, and lineage requirements, across the organization’s data assets.
The Data Engineer will play a crucial role in advancing the CDC Foundation's mission by designing, building, and maintaining data infrastructure for a public health organization. Working within the Maine CDC’s Informatics team, the Data Engineer will deliver the architecture needed for data generation, storage, processing, and analysis. They will develop plans for data governance, policies and procedures, and documentation to set up a data lake/warehouse.
Develop production data science applications in Python, end to end. Design and develop new AI services from scratch. Maintain and enhance current data science pipelines in complex high-load applications. Collaborate closely with R&D and DevOps teams. Research, invent and adapt machine learning algorithms for dedicated business needs. Perform predictive and statistical modelling and ad-hoc analyses as required.
The Supervisor, Clinical Data Software Management, will oversee and support all clinical data management and data software engineering operations. This position also supports overseeing the implementation and design of data schemas, data modeling, data ingestion pipelines, and workflows by all product and data mart specifications to ensure high-quality data deliverables.
As a Data Developer, you will integrate into the team and contribute to challenging and innovative projects, working with one of the largest datasets in the sector within a big data platform hosted on AWS, while ensuring the timeliness and quality of information for investment monitoring journeys.