The Senior Data Engineer is a critical technical leader in our modern data ecosystem, responsible for designing and delivering high-scale data solutions, mentoring junior engineers, and shaping the architectural backbone of our analytics infrastructure. This role balances execution with engineering excellence to support fast, reliable, and trustworthy data delivery, including designing integration architectures, developing reusable libraries, and implementing monitoring and testing systems.
This role involves developing, preparing, and maintaining data analytics projects and products that provide insights into the drivers of health outcomes. As a Healthcare Data Analyst, you will work closely with clinical research, product, and technology teams to build and maintain healthcare analytic tools that optimize health plan members' use of medical and prescription drugs.
This role blends deep technical database expertise with architectural leadership—driving performance, scalability, and data quality across the organization’s data ecosystem. This role sits at the intersection of engineering and business operations responsible for ensuring our data pipelines and warehouses are fast, reliable, and scalable. Architect and optimize data warehouse platforms and underlying database systems.
Own the data infrastructure and unlock insights to drive decision making at Smalls. You will be a key partner to multiple departments within our organization - designing analytics frameworks, improving data quality, and increasing access to data and analysis tools to power both strategy and execution. You will own the data infrastructure fully from ideation through delivery, including scoping, building, and documenting methodologies, to ensure repeatability and clarity.
You are an experienced data analyst with a track record of extracting insights and actionable information from structured data. You have built dashboards for daily review and summarized results for executive stakeholders. You will refine their needs into answerable questions, answer those questions, and work with them until they understand the implications.
The Fraud Intelligence team is the secret sauce behind Extend’s post-purchase protection platform, building cutting-edge analytics engines to detect and prevent fraud. This role involves analyzing large-scale data to uncover fraud signals, influencing business cases and pricing strategies, and responding to emerging fraud threats. A high-ownership position where your work will directly protect retailers, enhance customer trust, and drive the company’s bottom line!
Responsible for analytics and reporting used to drive the success of our Sales Department, you will own recurring performance reporting, which operates on a daily, weekly and monthly cadence, as well as contribute to ad hoc data analysis projects. Objective will be to streamline and automate our existing reporting, laying the groundwork for increased participation in ad hoc reporting and strategic initiatives.
As a Data Analyst within our Data Services team, you will help shape the future of employer services, with a focus on HR compliance and outsourcing. You will develop and implement data-driven solutions that allow strategic decision-making and improve business growth. You will build tasks, maintain data ingestion tools, convert data, resolve data import errors, and troubleshoot data issues.
As a Data Engineer, your primary responsibility is to design, build, and support modern data solutions using AWS by developing scalable ELT pipelines and data marts that serve both internal analytics teams and external reporting needs. In addition to building new solutions, you’ll also maintain and enhance legacy data pipelines that span both on-premises and cloud environments within a collaborative team.
Seeking a Mid QA Engineer to focus on Data & ETL Testing. Requires strong understanding of Data Warehousing (DW), ETL, and Data Quality concepts. Proficiency in SQL, RDBMS, and ETL validation. Experience validating reports and dashboards is needed.