Top Tech Jobs & Startup Jobs

Hiring data professionals (Analyst, Engineer, Scientist) to extract, clean, model, and visualize data; build ETL/ELT pipelines, data lakes/warehouses; develop ML models; run A/B tests; provide insights via dashboards and cross-functional collaboration.

Design, build, and maintain scalable data pipelines and ETL/ELT processes using PySpark and Python. Optimize complex SQL queries, manage data warehouse solutions, and handle large-scale data processing with Hadoop/Big Data technologies. Collaborate with business teams to translate data requirements, ensure data quality, and tune performance of data workflows.

Remote multi-role data position covering Data Analyst, Data Engineer, and Data Scientist duties: analyze and visualize data, write complex SQL, build dashboards, perform A/B testing and segmentation; design scalable ETL/ELT pipelines, maintain data lakes/warehouses, enforce data quality and monitoring; and develop machine learning models and predictive analytics to drive business decisions while collaborating across teams.

Provide advanced L2.5/L3 application support for investment management systems: analyze and debug code-level issues, manage incident response and 24x7 on-call rotation, coordinate releases and environment readiness, troubleshoot data workflows and APIs, drive root-cause analysis, ensure production stability/security, and participate in disaster recovery and environment setup.

Design, develop, execute, and analyze automated test scripts and frameworks across platforms and cloud. Perform API, microservices, database, and data warehouse testing. Implement CI/CD automation, track defects, create test plans/cases, validate complex business logic, and coordinate with stakeholders and development teams to meet release quality and timelines.

Design, develop, and maintain Python-based automation solutions and shell scripts, integrate REST APIs, automate onboarding and operational workflows, monitor and optimize automation reliability, and collaborate with cross-functional teams.

Hiring multiple engineering roles (backend, frontend, fullstack, cloud/devops). Responsibilities include building scalable APIs and UIs, database design, CI/CD and containerized deployments, cloud infrastructure automation, monitoring, security, and collaboration across product and design teams.

Design, develop, and maintain JavaScript-based automation testing frameworks; create and run automated and manual tests for web and insurance platforms; use AI-assisted testing tools to improve efficiency; manage regression suites; collaborate with developers, analysts, and product teams; identify, track, and resolve defects; contribute to test planning, reporting, and continuous improvement.

Design, build and migrate data warehouses to Snowflake. Develop Snowflake database objects, write complex SQL, implement Snowpipe and ETL/ELT, define CI/CD, monitoring, orchestration and data quality. Model data (star/snowflake schemas), work on heterogeneous migrations and collaborate with cloud/Databricks and data engineering tools.

Analyze large datasets using complex SQL and advanced Python (Pandas, NumPy); build and optimize data pipelines, automate tasks, and create Google Sheets reports and dashboards. Collaborate cross-functionally, present insights to technical and non-technical stakeholders, and support data-driven decision making.