Jobs at Bounteous

Develop and enhance Java applications using Spring Framework, write SQL queries, and implement TDD. Prefer experience in investment banking.

The Senior Adobe Analytics Consultant promotes information security practices, assesses security risks, ensures data protection compliance, and integrates security measures throughout the information lifecycle.

Design, build, and optimize Databricks Lakehouse data platforms and production ETL/ELT pipelines using PySpark, Delta Lake, and medallion architectures. Implement governance with Unity Catalog, manage CI/CD and IaC, optimize Spark and clusters for performance/cost, collaborate with data science and analytics teams, and mentor engineers while driving observability and security/compliance practices.

Design, build, and optimize Snowflake-based data platforms: ingest and model data, implement ELT pipelines, enforce governance and security, tune performance, build CI/CD, enable near-real-time solutions, mentor engineers, and collaborate with stakeholders.

The BI Analyst will design and maintain dashboards in Looker/Tableau, analyze data for trends, and support business reporting needs while ensuring data integrity and compliance with security standards.

The QA Analyst will execute test cases, validate data, optimize QA processes, and ensure data accuracy in reporting structures.

Design, develop, configure, and maintain ServiceNow solutions across modules (ITSM, ITOM, HRSD, SecOps, GRC, CSM). Build custom apps, workflows, scripts, integrations (REST/SOAP/MID Server), participate across the SDLC, support upgrades/patching, perform code reviews, produce documentation, and provide third-line support within secure government environments requiring strict data handling.

Lead architecture, build, and scale a Databricks lakehouse: design batch/streaming pipelines, enforce governance with Unity Catalog, optimize Spark workloads, operationalize ML (MLflow), manage cloud/IaC, mentor engineers, and partner with stakeholders on roadmap and security/compliance.

Design, build, and optimize Snowflake-based data platform: develop ELT pipelines, data models, governance, security, performance tuning, cost optimization, CI/CD, and advanced Snowflake features. Collaborate with stakeholders, mentor engineers, and deliver scalable data solutions for analytics.

The VP, Client Service will lead a portfolio of healthcare clients, driving digital transformation and business modernization, while ensuring client satisfaction and revenue growth.

Lead client-facing data solutioning and pre-sales efforts for Consumer verticals, design executable data architectures, support pursuit to close, and provide ~50% hands-on delivery and architectural oversight while ensuring information security and data privacy compliance.

Lead design and implementation of an enterprise Databricks lakehouse, build scalable batch and streaming pipelines, enforce governance and CI/CD standards, optimize Spark workloads, operationalize ML with MLflow, manage cloud infrastructure and IaC, and mentor data engineering teams.

Build and maintain scalable ETL pipelines and databases to ingest, transform, reconcile, and deliver OTC derivatives data for regulatory, operational, and business reporting. Develop SQL objects, stored procedures, and automated reports; enforce data quality, governance, and security controls; participate in Agile delivery, CI/CD, and production support.

Develop marketing strategy, targeting, and tactical plans; create creative briefs for agencies; build and test marketing campaigns; analyze market and campaign performance; present insights to executives and enable sales with strategic tools.

Build and maintain Java-based backend and scalable data pipelines while migrating legacy ETL from on-prem (Teradata) to cloud-native platforms (Databricks, Snowflake). Collaborate with engineering and architecture teams on modernization, performance tuning, testing, deployment, and production support for enterprise-scale distributed data systems.

Lead Murex integration projects, develop complex solutions for trading and risk systems, and mentor junior engineers while ensuring operational efficiency.

Execute comprehensive test cases and document defects to ensure data pipeline and reporting accuracy. Query and analyze complex datasets, perform root-cause analysis on anomalies, and improve QA documentation, SOPs, and testing frameworks while communicating issues to cross-functional stakeholders.

Senior Java developer responsible for designing, building and optimizing enterprise Java applications using Spring and SQL. Apply TDD, write unit/integration tests, implement multithreaded low-latency solutions for financial systems, collaborate with DevOps/QA/product teams, and translate business requirements into technical designs.

Lead client-facing data solutioning and pre-sales within Consumer verticals, design and translate architectures into delivery, maintain ~50% billable involvement, drive pipeline growth and close complex data opportunities while ensuring information security and privacy compliance.

Design, build, and operate production-grade GenAI workflow platforms for Lending: document ingestion and extraction, AI assistants, automated content generation, LLMOps, model selection and evaluation, retrieval systems, PII controls, and governance with human-in-the-loop review and reliability monitoring.