As a Data Engineering Intern, you will work with the Business Intelligence team to help extract, transform, and load (ETL) data from both internal and external sources into a Snowflake data warehouse, gaining experience using tools such as SQL, Airflow, and Google Cloud.

Expand and improve the data and data pipeline architecture, as well as optimizing data flow and MDM for cross-functional teams. Design, develop, and operate large-scale data pipelines to support internal and external consumers. Integrate data sources to meet business requirements. Write robust, maintainable, well-documented code.

Support daily data science team activities, including data collection, cleaning, and preprocessing. Build and optimize machine learning models and conduct exploratory data analysis (EDA) to develop dashboards and visualizations for insights. This is a time-limited internship opportunity.

You will support the team’s efforts in data management, analysis, and visualization, helping to drive decision making. The ideal candidate will be comfortable working with SQL and Python, and have experience working with BI platforms to visualize data. Responsibilities include querying and organizing data, performing data analysis using Python, and developing dashboards.

Design machine learning systems, research and implement appropriate ML algorithms, applications and tools, select appropriate datasets and data representation methods, and perform statistical analysis and fine-tuning using test results.

We are seeking a talented and motivated data engineer to join our team who will be responsible for designing, developing, and maintaining our data infrastructure and developing backend systems and solutions that support real-time data processing. This role involves collaborating with cross-functional teams to ensure data reliability and scalability.

As a Data Engineer III on the Information Systems team, you will design, develop, and maintain data and ETL platforms supporting the data needs across Energy Solutions, leveraging cutting-edge technologies in AWS to implement ETL for building Data platforms.

We are looking for an experienced Data Analyst to contribute to a 4-month freelance project. The ideal candidate will creatively develop research-driven insights for clients, explore "what if" scenarios, and find innovative solutions to everyday marketing and sales challenges.

Play a key part in developing and maintaining robust data ingestion pipelines, and building an efficient and reliable company data infrastructure. You'll work on projects that bring ad performance data to life, integrating custom logic into cutting-edge tools and optimizing the pipeline architecture for steady, long-term success.

The Senior AI Engineer will play an important role in developing and implementing advanced AI solutions in close collaboration with our clinical and product team to optimize clinical effectiveness and support work across the organization. The successful candidate will work closely with the product team to seamlessly integrate AI capabilities into our solutions, shaping the future of healthcare technology.