Happen Bank (formerly LendingClub) · San Francisco, US
$190K–$215K· Hybrid · Full-time · Senior
G
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Philadelphia Gas Works · Philadelphia, US
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JPMorgan Chase & Co. · Jersey City, US
On-site · Senior
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The University of Memphis · Memphis, US
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Texas Health and Human Services Commission (HHSC), Texas Department of State Health Services (DSHS), and Texas Department of Family and Protective Services (DFPS) · Austin, US
Build backend services and APIs for Expedia Group Advertising, focusing on scalable distributed systems, AI-powered optimization, and advertiser-facing experiences.
Compensation
The total cash range for this position in Seattle is $146,000.00 to $204,500.00. Employees in this role have the potential to increase their pay up to $233,500.00
Responsibilities
Implement backend APIs and services that power high-quality UI experiences
Build and optimize services that support campaign management and optimization across Expedia Group's advertising network
Improve reliability, scalability, and latency of mission-critical systems
Use LLMs and generative AI to simplify advertiser workflows and automate repetitive tasks
Integrate personalized recommendations and AI-assisted decision support with data scientists and ML engineers
Requirements
Bachelor’s degree in Computer Science or related technical field
Design, build, and support a laboratory operations platform that connects day-to-day lab workflows with our Laboratory Information Management System (LIMS).
Compensation
United States Base Compensation: $114,000.00 - $142,000.00
Responsibilities
Design, develop, test, deploy, and maintain full-stack capabilities across user interfaces, services, APIs, integration middleware, and data layers.
Translate user requests and operational needs into intuitive workflows and user experiences that simplify laboratory work and improve usability.
Define data models and build secure, traceable APIs for exchanging core sample, workflow, status, and metadata between the platform and the LIMS.
Contribute to architecture decisions and optimize application performance, scalability, reliability, security, observability, and supportability.
Extend the platform to integrate with laboratory instruments and automation systems.
Lead Software Engineer responsible for designing and building tools and systems that improve operational efficiency across backend and frontend stacks, partnering with Operations and Underwriting teams to streamline workflows and ensure security and data privacy.
Compensation
The target base salary range for this position is 190,000-215,000. The base salary of the role will be determined by job-related knowledge, experience, education, skills, and location. Base salary is just one part of Happen Bank's Total Rewards package. You may also be eligible for long-term awards (equity) and an annual bonus (which is based on company performance, employee performance and eligible earnings).
Responsibilities
Own and deliver tools and services that improve operational efficiency, from design through production
Build a working understanding of banking and underwriting domains to design fit-for-purpose systems
Make architecture and implementation decisions balancing speed, reliability, and maintainability
Apply sound security and data access practices for PII and sensitive borrower data
Identify opportunities to automate or streamline manual operations workflows, including AI
Requirements
Bachelor's degree or higher
Nice to have: lending or banking domain systems
Nice to have: regulated or financial services environment
Data & Analytics Intern to support data and analytics requests and projects, develop dashboards, reports, and performance metrics, and automate reporting workflows.
Responsibilities
Develop, maintain, and enhance dashboards, reports, and performance metrics.
Assist with data collection, cleaning, validation, and integration from multiple sources.
Improve the accessibility, consistency, and usability of business reporting.
Evaluate data quality and identify opportunities to improve accuracy and consistency.
Document data and analytics processes, methodologies, and reporting requirements.
Requirements
Graduate program enrollment (MBA, MS in Business Analytics, Data Science, Statistics, Computer Science, Finance, or related quantitative discipline)
Design, develop, test, deploy, and improve secure, production-ready applications using Java and Python in cloud and hybrid data environments.
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
Translate stakeholder and business requirements into well-defined technical solutions, prototypes, and delivery plans.
Using Java and Python, create secure and high-quality production code and maintain algorithms that run synchronously with appropriate systems
Use SQL to analyze large, heterogeneous datasets, validate assumptions, generate insights, and measure solution impact.
Contribute to scalable, resilient architectures and support reliable deployment, monitoring, validation, troubleshooting, and iterative improvement.
Automate operational processes and help eliminate recurring issues to improve platform stability and efficiency.
Texas Health and Human Services Commission (HHSC), Texas Department of State Health Services (DSHS), and Texas Department of Family and Protective Services (DFPS) · Posted Nov 9, 2026
The Data Analyst II performs routine (journey-level) data analysis work. Work involves creating and running queries to generate data sets, analyzing the data, and producing reports and graphics based on that data.
Assist with data profiling, analysis, and reporting for the Ohio Department of Medicaid’s Strategic Analytics team as a college intern.
Compensation
Compensation: $18-24/hour
Responsibilities
Complete routine and adhoc data profiling of new tables
Compare results from new tables to legacy sources
Investigate variances using the identified source of truth for each table
Provide summary feedback and examples to supervisors and developer team members
Participate in team meetings
Requirements
Currently enrolled in an accredited college or university (undergraduate or graduate student)
Nice to have: Strong collaboration & communication skills
Nice to have: Effective organizational & multitasking skills
Nice to have: Interest in public health, healthcare, and data analytics
Nice to have: Conceptual knowledge or experience in any of the following areas is strongly preferred: Statistical analysis, Quantitative research, Statistical modeling; forecasting, Relational databases; programming, Data cleaning; data manipulation