Top Tech Jobs & Startup Jobs

Design and scale event-driven data platforms using Apache Kafka and Temporal. Build batch and streaming ETL/ELT pipelines with Python, SQL, and Spark; develop data schemas, validation, contracts, and quality controls; optimize warehouse and lakehouse models; and implement reliable, observable workflows. Collaborate with software, machine learning, and analytics teams on distributed systems, CI/CD, and production data governance.

Design, develop, deploy, and support scalable full-stack applications using Node.js, TypeScript, React, AWS, and enterprise data technologies. Build APIs, workflow automation, cloud integrations, and responsive user interfaces; troubleshoot production issues; improve performance, observability, reliability, and security; participate in deployments, code reviews, technical design, and mentoring.

Join Infinitive as a Business Analysis Consultant supporting data-related consulting projects. Develop skills in business analysis, data analysis, requirements gathering, stakeholder management, project coordination, business process re-engineering, and change management. Gain hands-on AWS and Databricks experience, build consulting capabilities, and pursue AWS and Databricks certifications while working with clients and internal teams.

Paid five-week summer technology internship for rising college seniors. Interns will define business and technical requirements, analyze data using Databricks, learn solution architecture, gain AWS and Databricks experience, and receive coaching in a collaborative consulting environment. The role is four days onsite in Ashburn, Virginia and supports development across data analysis, data engineering, AI and machine learning, project management, and technology consulting.

Join Infinitive's technology consulting team after graduation and develop solutions using AWS, Databricks, data analysis, data engineering, application development, and AI. The role provides hands-on consulting experience, exposure to innovative technologies and industry best practices, and opportunities to earn AWS and Databricks certifications while developing analytical, problem-solving, communication, leadership, and collaboration skills.

Lead customer-facing technical program management for large-scale data modernization initiatives. Responsibilities include aligning client needs with platform roadmaps, directing data discovery and attribute mapping, partnering on AWS architecture, overseeing ETL and migration delivery, managing governance and executive reporting, mitigating risks, and building frameworks to onboard and enable future TPMs.

Define and implement a unified Databricks platform architecture for scalable data access and governance, ensuring compliance and cost efficiency while mentoring teams.

Oversee and manage technology projects, ensuring delivery on time and within budget. Collaborate with teams, manage stakeholders, and integrate technologies effectively, while focusing on quality and risk management.

The Senior Data Engineer will design and maintain scalable data pipelines and ETL processes using Databricks, integrate DevOps tools, and ensure data modeling adheres to best practices.