Top Tech Jobs & Startup Jobs

Lead the design, development, and optimization of scalable Databricks ETL/ELT pipelines using Python, PySpark, and SQL. Integrate databases, files, Amazon S3, and REST APIs; manage Delta Lake tables and Medallion Architecture; implement data quality, monitoring, error handling, and performance tuning. Guide engineers, make technical decisions, and collaborate cross-functionally to deliver production-ready data solutions.

Source, screen, and hire technical talent across software engineering, DevOps, data science, machine learning, cybersecurity, and other specialized roles. Partner with hiring managers, develop sourcing strategies, assess technical skills and cultural fit, guide candidates through the hiring process, and monitor recruiting market trends.

Own strategy, vision, roadmaps, and execution for technically complex data, cloud, and AI products. Lead discovery through launch, define requirements and success metrics, make prioritization and build-versus-buy decisions, and partner with engineering, architecture, data, and AI/ML teams. Serve as the senior product contact for Fortune 500 clients, lead distributed delivery teams, manage dependencies and stakeholders, and mentor junior product professionals.

Develop and maintain Power BI and Looker dashboards, reports, data models, and analytical assets. Analyze complex datasets with SQL and Python, validate data quality, translate stakeholder requirements into actionable insights, and support project milestones. Collaborate with technical and business teams, optimize BI performance, communicate findings, and explore machine learning applications in business analytics.

Own the roadmap and lifecycle of data and AI products, from enterprise discovery and problem definition through delivery, launch, and iteration. Translate business needs into product requirements, partner with engineering, data engineering, and design, define measurable outcomes, lead Agile ceremonies, prioritize feedback-driven improvements, and communicate risks and trade-offs to stakeholders. The role also contributes to product discovery, prioritization, and delivery practices.

Lead design, architecture, and delivery of enterprise-scale data platforms using Databricks and Spark. Architect Lakehouse solutions, build ETL/ELT pipelines, implement IaC and CI/CD, ensure data governance and security, mentor engineers, and partner with Fortune 500 clients from discovery through production.

Design, build, and scale data-driven platforms and systems, focusing on backend and frontend engineering, integrations, and AI capabilities.

The DevOps Engineer will optimize cloud computing solutions, enhance infrastructure performance, ensure high availability, and manage CI/CD tools while collaborating with development teams.

The Associate AI Engineer will assist in building AI-powered backend services, integrating APIs, and developing data pipelines while collaborating with experienced engineers and teams.

Build and maintain backend-first platform features using Python and FastAPI, including REST APIs, PostgreSQL data models, multi-tenant access patterns, async workers, third-party integrations, and webhooks. Write comprehensive unit, integration, and async tests; participate in code reviews and architecture discussions; support production on-call, incident resolution, runbooks, and post-mortems.