Embark on an exciting journey into software development! As a Data Engineer, you'll be crucial, actively contributing to projects that reshape data analytics for clients, providing them a competitive edge. Responsibilities include writing code, implementing solutions, building ETL processes, ensuring data quality, and debugging to fix defects.

Support data analytics, data warehousing, ETL processes, and data modeling functions using SQL, Holistics, BigQuery/Google Cloud, Make, and Zapier to develop MVP-style solutions that enhance efficiency for both customers and internal teams.

Develop scalable and efficient data pipelines to support analytics needs across the organization. Improve the performance, observability, and reliability of existing data systems. Collaborate with other teams to understand data needs and implement solutions that improve efficiency. Ensure system security and data privacy compliance.

Thrive Market's Data Engineering team is seeking a Senior Data Engineer to build high-impact products alongside their Data Strategy Team. In this role, you will orchestrate data engineering solutions, collaborate with technical teams, and resolve production data issues. This role needs someone who is excited about the mission and the tech behind the company.

You will be key in quantifying and communicating the value of Included Health to our clients. You will play a crucial role within the Growth & Retention Insights team which is responsible for supporting revenue retention and growth of our enterprise and health plan business segments. Translate findings of complex analyses into actionable recommendations for clients.

As a Senior Data Engineer, you will build data applications, delivering high quality code with performance and scalability in mind, and collaborate with the Tech Lead on designing architecture. This role involves building LoyaltyLion's data platform and supporting the team’s and company’s growth using Python & SQL and technologies like Dagster, Docker, Rabbit MQ, dbt, Superset, dltHub, ClickHouse , Cube etc.

The Data Scientist is responsible for using advanced statistical, algorithmic, machine learning, data mining and visualization techniques to help advance and complete client projects. The Data Scientist must also be able to communicate complex quantitative analyses in a clear, precise, and actionable manner to management and executive level audiences.

The Data Analyst will develop and manage the requirements, design, and development of handling data coming from our partners in specific market channels. The analyst will work closely with business users to understand the customer data for the specific channel and develop approaches and plans to deliver on the requirements.

As a Senior data analyst, you will play an integral role in financial, clinical, or eCommerce reporting. You will touch all aspects of the business in order to provide clear and solid reports that create a single source of truth, as well as surface actionable insights for business improvement. As a fast-growing company, we are ingesting and generating ever-increasing amounts of data.

As Casechek’s Data Analytics Engineer, you will be responsible for building and optimizing data pipelines, developing robust data models, and enhancing analytics capabilities; you will partner with business teams to design scalable solutions and implement end-to-end analytics solutions using modern technical stack.