Top Tech Jobs & Startup Jobs

Build and maintain cloud-native full-stack applications using React, Node.js, and C#. Design and optimize SQL, PostgreSQL, and DynamoDB data solutions, troubleshoot database performance, and develop AWS serverless and containerized services. Create automated tests with Jest and Playwright, maintain Terraform infrastructure and GitLab CI/CD pipelines, and collaborate with technical and product teams to deliver scalable, reliable software during a six-month project engagement.

Build and operate batch and streaming pipelines on Databricks using PySpark and Delta Lake. Modernize legacy data warehouse and ETL workloads into a governed medallion Lakehouse architecture. Develop tested Python and SQL, optimize Spark and Delta performance, implement data quality and governance with Unity Catalog, and troubleshoot production incidents. Collaborate with DevOps, platform, analytics, and security teams while using AI coding tools to accelerate development.

Build and maintain cloud-native full-stack applications using React, Node.js, and C#. Design and optimize SQL, PostgreSQL, and DynamoDB data solutions, improve database performance, and develop serverless and containerized AWS services. Write automated tests with Jest and Playwright, maintain Terraform infrastructure and GitLab CI/CD pipelines, and collaborate with technical and product teams to deliver scalable, reliable software.

Build and support Salesforce Data Cloud and Marketing Cloud solutions, including data ingestion, identity resolution, audience segmentation, customer journeys, automations, triggered communications, personalization, and campaign activation. Integrate Salesforce platforms with enterprise systems, monitor data quality and performance, troubleshoot campaign issues, and translate marketing and customer lifecycle requirements into documented technical solutions.

Build and operate batch and streaming pipelines on Databricks using PySpark and Delta Lake. Modernize legacy data warehouses into governed Lakehouse architectures, optimize Spark jobs and Delta tables, implement data quality and governance controls, and troubleshoot production incidents. The role includes writing tested Python and SQL, collaborating with platform and analytics teams, participating in Agile delivery, mentoring junior engineers, and using AI coding tools to accelerate development.

Build and support Salesforce Data Cloud and Marketing Cloud solutions, including data ingestion, identity resolution, audience segmentation, customer journeys, automations, triggered communications, and campaign activation. Integrate Salesforce platforms with enterprise systems, monitor data quality and performance, troubleshoot campaign workflows, and document technical solutions while partnering with marketing, CRM, product, and analytics teams.

Builds connected customer data and engagement solutions across Salesforce Data Cloud and Marketing Cloud. Responsibilities include developing data ingestion pipelines, identity resolution, audience segmentation, customer journeys, automations, triggered communications, personalization, and activation workflows. The role integrates Salesforce with enterprise and third-party systems, monitors data quality and platform performance, troubleshoots campaign execution, and documents technical solutions while partnering with marketing, CRM, product, analytics, and data teams.

Build and operate batch and streaming data pipelines on Databricks using PySpark and Delta Lake. Modernize legacy data warehouses into governed medallion-architecture Lakehouses, optimize Spark jobs and Delta tables, and implement data quality, lineage, and access controls with Unity Catalog. Troubleshoot production incidents, support analytics and machine learning consumers, and collaborate with DevOps and platform teams on observability, security, and compliance. Mentor junior engineers and contribute to Agile delivery practices.

Design, build, and operate batch and streaming pipelines on Databricks using PySpark and Delta Lake. Modernize legacy ETL and warehouse workloads into governed Lakehouse architectures, optimize Spark jobs and Delta tables, and implement data quality, lineage, and access controls. Troubleshoot production incidents, write tested Python and SQL, collaborate with platform and analytics teams, follow Agile practices, and mentor junior engineers.

Build and support connected customer data and engagement solutions across Salesforce Data Cloud and Marketing Cloud. Responsibilities include data ingestion, identity resolution, audience segmentation, customer journeys, automations, triggered communications, personalization, integrations, data quality monitoring, troubleshooting, and technical documentation. The role partners with marketing, CRM, product, analytics, and data stakeholders to deliver consent-aware campaign and lifecycle solutions.