Top Tech Jobs & Startup Jobs

Analyzes, cleanses, transforms, and models data while resolving completeness and quality issues. Reviews Informatica ETL mappings, creates ETL data-mapping documentation, develops complex SQL queries, profiles Teradata data, validates data warehouse mappings, and automates testing with UFT/QTP and Selenium. Tests XML, API, and web-service integrations using SOAP UI and IBM Rational Tester.

Performs life insurance valuation under Statutory, GAAP, and Tax standards. Leads quarterly valuation processes, LDTI and PBR implementation, actuarial modeling, reserve setting, financial reporting, risk analysis, controls, and governance. Collaborates with Tax, Controllership, Pricing, and other business teams; addresses auditor and regulator inquiries; and communicates technical findings to senior finance leaders. The role also supports product pricing, reinsurance analysis, and process improvement.

Designs and develops Java-based business services and APIs using Spring and Oracle. Builds REST and SOAP APIs, performs code and design reviews, models system interactions and domains, migrates APIs to microservices, and maintains CI/CD pipelines with GitHub, Jenkins, Docker, and Kubernetes. The role operates in a hybrid office environment and may require on-call support outside normal hours.

Configure and operate Semarchy reference data management solutions for product and fund data. Build data loads, integrations, pipelines, APIs, workflows, validation rules, and governed access to Snowflake and other systems. Partner with data owners and stewards on definitions, lineage, metadata, quality, and governance. Monitor data processes, reconcile records, implement testing and security practices, and lead design decisions for scalable data engineering solutions.

Develop and maintain automated testing solutions across the software delivery lifecycle. Responsibilities include test strategy, framework development, API and UI automation, CI/CD integration, defect analysis, secure software practices, and AI-assisted test optimization. The role collaborates with engineers, product owners, and business stakeholders to deliver reliable software for claims and related workflows, while managing priorities and providing technical guidance.

Leads end-to-end delivery of technology workstreams and business outcomes, managing dependencies, risks, issues, financials, vendors, contracts, reporting, and stakeholder communications. The role drives agile, Lean, and secure software delivery practices; oversees project and product financials; supports prioritization and value realization; and mentors delivery teams. It requires collaboration with executives, technology leaders, product owners, business partners, and vendors in a hybrid or remote environment.

Analyzes workforce and operational data to improve forecasting, capacity planning, staffing, and service outcomes. Builds reusable datasets, SQL queries, dashboards, reports, and automated analytical processes using SQL, Python, R, and BI tools. Partners with Workforce Management and business leaders to validate data, explain trends, communicate limitations, and deliver recommendations. Supports scenario analysis, data governance, quality practices, and recurring data products while managing complex analytical deliverables.

Sources and manages printed materials, branded merchandise, and promotional products from vendor selection through production and delivery. Reviews proofs and samples, monitors quality, budgets, and timelines, and coordinates with designers, marketers, and external vendors. The role also supports marketing strategy execution, creative development, customer insights, analytics, and digital and traditional marketing programs.

Owns end-to-end technology project delivery across the Commercial Lines portfolio, translating strategy and business cases into delivery plans. Coordinates Agile teams, stakeholders, platforms, and vendors while managing scope, schedule, costs, risks, dependencies, change, financials, and value realization. The role leads build through stabilization, applies secure engineering practices, tracks delivery metrics, oversees vendors and contracts, and uses automation, analytics, and AI to improve delivery quality and predictability.

Designs, develops, and supports scalable batch and streaming data pipelines, data products, models, API integrations, and data quality frameworks. The role enables analytics, reporting, AI/ML, and operational use cases using Snowflake, AWS, Python, Spark, and advanced SQL. Responsibilities include data governance, security, observability, automated testing, CI/CD, monitoring, troubleshooting, and optimization while collaborating with business, analytics, product, engineering, and data science teams.