Top Tech Jobs & Startup Jobs

Designs, builds, deploys, and operationalizes scalable data engineering solutions using Databricks. Responsibilities include data transformation, migration, quality, governance, security, performance optimization, testing, incident resolution, and analytics enablement. The role advises customers, manages multiple accounts and projects, collaborates across teams, and educates users on data products and analytical environments. Requires strong SQL and PySpark skills, cloud experience, consulting experience, and leadership capabilities.

Designs, builds, deploys, and operationalizes complex data engineering solutions for multiple customers. Responsibilities include Databricks migrations, data pipeline development, transformations, optimization, governance, security, quality, testing, incident resolution, and data source analysis. The role also involves advising customers, tracking project progress, collaborating across teams, and educating users on data products and analytics environments.

Design, build, deploy, and operationalize scalable data engineering solutions using Databricks. Advise customers on technical decisions, migrations, data quality, governance, security, performance optimization, and analytics environments. Analyze data sources, develop transformations, test pipelines, resolve incidents, track customer projects, and collaborate with internal teams and end users to deliver data products supporting AI, machine learning, and business intelligence.

Lead product vision, strategy, and roadmap for Ad Tech data and AI products. Partner with engineering and cross-functional teams to manage full software lifecycle, prioritize features, support triage and bug resolution, and deliver customer-centric API-first, data-driven solutions while driving business impact and operational excellence.

Lead product vision, strategy, and roadmap for an Ad Tech data platform. Partner with engineering and cross-functional teams to drive products from concept to launch, manage stakeholder communication, support triage/bug resolution, and prioritize data-driven, API-first solutions to deliver business impact.

Designs and executes manual and automated tests for data-driven applications, APIs, databases, and data pipelines. Develops test plans, regression tests, and automation; validates data accuracy and integrity; tracks defects; collaborates with engineering, data teams, and stakeholders; documents testing standards; and uses AI tools to improve test coverage and efficiency.

The QA Engineer translates requirements into test plans and cases, executes regression and automated testing, tracks defects, and validates fixes. The role focuses on data quality across applications, APIs, databases, and pipelines, while collaborating with engineering, data teams, and stakeholders. Responsibilities include establishing testing standards, improving automation and coverage, documenting results, troubleshooting defects, and using AI tools to improve testing efficiency.

Develop and execute manual and automated tests for data-driven applications, APIs, databases, and data pipelines. Translate requirements into test plans, validate data accuracy and integrity, track defects, and collaborate with engineering and business stakeholders. Establish testing standards, improve automation and coverage, and use AI tools to enhance testing efficiency and data validation.

Develop and execute manual and automated tests for data-focused applications, APIs, databases, and pipelines. Translate requirements into test plans, validate data quality and integrity, track defects, collaborate with engineering and stakeholders, and improve testing processes, automation, coverage, and efficiency using AI tools.

Lead the design, development, and production deployment of machine learning models and predictive analytics pipelines. Collaborate with engineering, product, analytics, and data teams to optimize cloud-based data solutions, automate workflows, and apply statistical modeling to business challenges. Mentor junior data scientists, establish MLOps best practices, and communicate insights and recommendations to stakeholders and executives.