EnergyHub is seeking a Senior Energy Data Analyst to join its utility data services team, providing customized analytics dashboards, analysis, and reports to electric utility clients, helping them understand and improve their energy programs.

Support the Army Training Information System (ATIS) by developing and overseeing enterprise data architecture, governance, and analytics strategies. Lead efforts to design, optimize, and secure data solutions that support transactional data applications, Army data policies, data quality, data consistency, data interoperability, and compliance with DoD data standards. Active Secret clearance required.

Act as a Subject Matter Expert for a high-profile streaming platform, evaluate submissions in Label Studio, monitor data quality, and recommend targeted training interventions, identify recurring errors and offering actionable feedback, ensure team consistently meets and exceeds client expectations.

Responsible for the development and algorithm optimization of abnormal detection, root cause analysis and other functions of monitoring products. Focus on cutting-edge technologies and trends in AiOps field to drive algorithm and product optimization. Good foundation of program development in Python, Java, Spark, Flink and other distributed computing platforms.

The individual will work on high priority initiatives, ensuring that Wealthsimple's product strategy is grounded in data analytics, including analysising user behaviour, developing experiments, applying causal inference methods and using machine learning algorithms to segment users and personalize product experiences. They will also maintain core data models and pipelines.

Join our growing team as a GCP Data Engineer! In this role, you will configure Google Cloud Platform services, manage data storage and processing, design and deploy data pipelines using GCP services, develop data ingestion and transformation processes, and establish and manage data storage solutions using GCP services, as well as building CI/CD Pipelines.

Join the dynamic technology department as a Senior Staff member in Database Engineering at a mortgage servicing, SaaS-based, financial technical company. This role requires a deep understanding of database administration, data modeling, and query languages. You will administer databases, design data models, and resolve complex data-related issues.

We are looking for a Senior Data Developer located in Brazil to work on a project in the financial sector. Responsibilities include designing, developing, and maintaining scalable data pipelines, ensuring data integrity, documenting data workflows, and implementing data governance practices.

Play a key role in scaling and improving how we integrate and process customer data by designing and implementing ETLs that reliably process large volumes of customer-provided data and build tools to make customer integrations faster. Your work will have a direct and visible impact on our ability to onboard customers easier and quicker and power our machine learning grocery solution.

In this role, you will gain experience with the latest AI technologies, work remotely, and build both prototypes and mature production AI/ML systems. You will develop, maintain, and improve production AI/ML services, using appropriate technologies from the AI landscape. Work closely with other engineers, developers, product managers and UX team to create AI-driven product features.