Formulates and leads guided, multifaceted analytic studies against large volumes of data.
Interprets and analyzes data using exploratory mathematic and statistical techniques based on the scientific method.
Coordinates research and analytic activities utilizing various data points (unstructured and structured) and employ programming to clean, massage, and organize the data.
Experiments against data points, provide information based on experiment results and provide previously undiscovered solutions to command data challenges.
Leads all data experiments tasked by the Data Science Team.
Seeking a Data Engineer to build scalable data systems and design, implement, and maintain operational data infrastructure that powers analytics and platform offerings.
Compensation
The base salary range for this position is $120,000 - $180,000.
Responsibilities
Design, build, and maintain end-to-end data pipelines using Databricks (SparkSQL, PySpark) for data ingestion, transformation, and processing.
Integrate data from various structured and unstructured sources, including medical imaging systems, EMRs, Change-Data-Capture from SQL Databases, and external APIs.
Collaborate with the analytics team to create, optimize, and maintain dashboards in Looker.
Implement best practices in data modeling and visualization for operational efficiency.
Deploy and manage cloud-based solutions on AWS (e.g., S3, EMR, Lambda, EC2) to ensure scalability, availability, and cost-efficiency using IaC tooling (Terraform and Databricks Asset Bundles).
Requirements
Bachelor’s degree in Computer Science, Engineering, or a related field
Master’s degree in Computer Science, Engineering, or a related field
Lead technical contributor in an agile team building secure, high‑quality production code for financial services technology products.
Compensation
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions.
Responsibilities
Provides technical guidance and direction to support the business and its technical teams, contractors, and vendors
Develops secure high‑quality production code, and reviews and debugs code written by others
Drives decisions that influence the product design, application functionality, and technical operations and processes
Serves as a function‑wide subject matter expert in one or more areas of focus
Actively contributes to the engineering community as an advocate of firmwide frameworks, tools, and practices of the Software Development Life Cycle
Requirements
Bachelor's in Computer Science
Nice to have: FinOps practices
Nice to have: Data quality and reliability guardrails
Drive the future of data-driven decision making—join us to transform raw information into actionable insights that power business innovation.
Compensation
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more.
Responsibilities
Lead end-to-end marketing analytics and optimization across the campaign lifecycle, including opportunity sizing, audience targeting, test design/execution, performance reporting, and insight generation.
Partner closely with clients/stakeholders to manage the portfolio of work, define the delivery approach, and recommend strategy and experimentation to meet business objectives.
Provide both tactical and strategic marketing insights through analytics, reporting, and advanced data visualization techniques.
Solve complex problems and translate complex analytical results into clear, actionable insights.
Leverage an evolving suite of analytics tools, including cloud migration and next-generation analytical applications.
The Data Engineer will play a key role in the continued development and modernization of the organizations data environment, with a focus on creating a clean, reliable, and scalable data foundation for reporting, analytics, and future AI and automation initiatives.
Compensation
The pay range for this position is $60.00 - $67.00/hr.
Responsibilities
Design, develop, and enhance data processes used to collect, transform, organize, and deliver large volumes of business and project data across the organization.
Use SQL extensively to develop, optimize, and troubleshoot complex data transformations that support reporting and analytics.
Build, maintain, and improve VertiPaq semantic models to provide a robust foundation for business intelligence and self-service analytics.
Develop and refine DAX calculations to support business metrics, reporting requirements, and analytical use cases.
Collaborate with stakeholders to understand existing methodologies and workflows and translate them into efficient, scalable data solutions.
Work with SDEs/other DEs and Applied scientists to invent, design and build data solutions that will have significant impact across vendors doing business with Amazon and all Amazonian building software solutions.
Compensation
The base salary range for this position is listed below... USA, TX, Austin - 101,300.00 - 160,000.00 USD annually
Responsibilities
Design, implement, and support a platform providing secured access to large datasets.
Architect, develop and maintain end to end scalable data infrastructure and data pipelines
Develop the teams' data strategy and technical road map of data storage & pipelines design and implementation
Interface with other technology teams to extract, transform, and load data from a wide variety of data sources using SQL, scripting and AWS big data technologies.
Designing and implementing complex ETL pipelines and other BI solutions.
Define and drive the future strategy for GenAI and emerging technologies to uncover hidden patterns and drive decision-making across diagnostic products.
Design, implement, and optimize data architectures using AWS services, ensuring seamless integration and high performance.
Drive the design and development of efficient data processing workflows using PySpark, SparkSQL, SQL, and modern formats like Iceberg and Parquet.
Optimize the performance, scalability, and cost efficiency of data infrastructure and AWS service consumption.
Provide technical direction and mentorship to a team of developers, enforcing code quality standards and best practices for testing and CI/CD.
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