Top Tech Jobs & Startup Jobs in Boston, MA

Analyzes and documents ERP business requirements, supports SAP and Oracle processes, writes SQL queries, and improves workflows. The role prepares functional specifications, coordinates with technical teams, supports ERP testing and UAT, resolves issues, and collaborates with stakeholders on implementations and enhancements. It also contributes to process improvement, reporting validation, and ERP integration or migration projects.

Develop, train, evaluate, optimize, and deploy machine learning models and AI applications using Python and PyTorch. Prepare datasets, build REST APIs for model serving, troubleshoot data and API issues, and maintain model versions and documentation. Collaborate with engineering, data science, and product teams while following software development practices such as Git, code reviews, automated testing, and deployment workflows.

Develop, test, debug, and maintain software applications using Java and Python. Write efficient code, SQL queries, and unit tests; work with relational databases and Git. Participate in code reviews, Agile/Scrum ceremonies, and cross-functional collaboration with engineering, QA, and product teams while learning new frameworks and technologies.

Develop and maintain data pipelines using Python, SQL, ETL, and Apache Spark. Extract, transform, validate, and load data from databases, APIs, and files; monitor pipeline performance and quality; support batch and streaming workflows; document processes; and collaborate with analytics and business intelligence teams.

Designs, configures, maintains, monitors, and troubleshoots secure enterprise network infrastructure. Responsibilities include managing routers, switches, firewalls, LAN, WAN, and VPN environments; supporting BGP and other routing protocols; resolving outages and connectivity issues; maintaining network security and documentation; and collaborating with IT, security, and infrastructure teams.

Build and maintain scalable data transformation pipelines, analytics-ready datasets, data warehouses, data marts, and reusable data models using SQL and dbt. Implement data quality testing, validation, monitoring, documentation, and governance while optimizing warehouse performance and integrating multiple data sources. Partner with analysts, product managers, and business stakeholders to support dashboards, KPI reporting, business intelligence, and strategic analytics initiatives.

Develop and maintain Android and iOS mobile applications using Kotlin and Swift. Integrate REST APIs, third-party services, and mobile SDKs; collaborate with designers, backend developers, and product teams; test, debug, optimize performance, and support application security and responsive user experiences.

Analyze and present data while developing interactive dashboards, data visualizations, and reporting interfaces with React.js, JavaScript, and TypeScript. Build reusable responsive UI components, integrate REST APIs, translate business requirements into analytical applications, troubleshoot frontend and data presentation issues, and collaborate with cross-functional Agile teams. The role also involves improving application performance, maintaining documented code, and supporting data-driven business decisions.

Collect, clean, validate, and analyze data from multiple sources. Write SQL queries, build Excel reports, and develop Power BI and Tableau dashboards. Identify trends, anomalies, and KPIs; prepare recurring and ad hoc analyses; maintain data quality; document processes; and communicate actionable insights to technical and nontechnical stakeholders.

Design and execute REST API tests covering functional, integration, regression, negative, performance, and data validation scenarios. Use Postman and JavaScript or similar frameworks to automate testing, write SQL queries to verify backend data, validate JSON and XML responses, document defects, and collaborate with development and QA teams in Agile ceremonies and continuous testing initiatives.