At eHealth we are passionate about expertly guiding consumers through their health insurance and related options, when, where and how they prefer. In this role, you will help develop innovative machine learning solutions that enable better and faster decision-making, enhancing both our internal operations and the customer experience. This position offers a fast-paced, collaborative, and iterative environment where quick learning, agility, and flexibility are key.
Work with clients from different industries to investigate complex business problems and to design end-to-end analytical solutions. Work independently as part of a small team to solve complex data engineering use-cases across a variety of industries and design and develop the analytical layer, building cloud data warehouses, data lakes, ETL/ELT pipelines, and orchestration jobs.
We're seeking a Senior Data Engineer to build and enhance data solutions and AI initiatives for the business of insurance. You will work closely with the Principal Data Architect, Data Scientists, and Software Engineers to build, model, and maintain data solutions as we optimize data architecture and accessibility of large-scale datasets for our global teams.
You'll champion engineering best practices and maintain a scalable platform that supports reporting and analyses across all our business domains. You will build and maintain robust data models, ensure data infrastructure reliability, and design data models for efficient use by all teams. Collaborate with Data Analysts, Data Scientists and Machine Learning Engineers to enhance the data platform and power business decision making.
This role will establish and lead how we manage the internal tools that power our operations and decision-making. This dedicated role focuses on business applications and data platforms. The ideal candidate is both a doer and a collaborator, comfortable configuring systems directly, managing implementation partners, and working across teams to align tools with real-world needs.
The Senior Data Analyst will work with teams (product, growth marketing, engineering, data science, CX and business owners, etc.) to measure, understand, and monitor key business metrics across our mobile apps and websites. Deliver ad-hoc analysis with actionable insights and translate stakeholders’ priorities into dashboards.
We're looking for a Senior Data Engineer to tackle big challenges. In this role, you'll join a dynamic team that is committed to creating cutting-edge solutions. You will collaborate with industry leaders, data scientists and project managers to deploy digital solutions that empower our clients to make informed business decisions.
We are seeking a highly skilled Data engineer with strong experience in high-touch implementations to join our team. The ideal candidate has expertise in Snowflake and Customer Data Platforms (CDPs), and is capable of managing complex data integration projects within secure environments. You may work 100% remotely if you are currently living in LATAM, or you can always join us at the office!
Support the design, creation, and maintenance of databases in a client/server environment. Monitor database performance and support system tuning efforts. Assist with implementing database security measures, backups, and recovery solutions. Perform database programming and scripting using SQL-based languages. Ensure compliance with DoD database management policies and standards.
As a Marketing Data Scientist, you will play a key role in improving how we connect with millions of customers - online and offline. You will drive data-powered marketing strategies and optimize attribution models. Analyze customer, marketing, and onsite data using SQL and Python to enhance marketing campaign performance and customer engagement.