Element

Data Engineer

• Design, build, and maintain reliable, scalable ETL/ELT pipelines
• Develop Apache Airflow DAGs to orchestrate pipeline tasks, schedules, dependencies, and data-processing workflows
• Integrate data from databases, APIs, and files while applying transformations and preserving data consistency
• Develop SQL transformations and Snowflake data structures
• Build reusable pipeline components and automate recurring processes
• Support pipeline configuration and deployments across development, test, and production environments
• Develop and maintain Snowflake schemas, tables, and views
• Implement Snowflake data loading and transformation processes
• Optimize SQL queries and Snowflake workloads for performance, warehouse utilization, and cost
• Apply Snowflake data modeling and performance optimization techniques, including clustering when beneficial
• Implement and maintain Snowflake roles and permissions
• Configure Airflow schedules, dependencies, retries, timeouts, and failure handling
• Monitor workflow runs, investigate failures, and implement corrective actions
• Configure alerts and operational logging
• Develop Python scripts and automation for pipeline operations
• Maintain workflow and operational documentation
• Develop automated data validation checks and tests
• Investigate and resolve data-quality issues
• Follow data governance, privacy, security, and access-management requirements
• Document data lineage and transformation logic
• Follow error-handling and data-recovery procedures
• Work with technical teams and stakeholders to clarify data requirements and deliver engineering solutions
• Participate in code reviews, technical design discussions, and development planning
• Contribute to version control, automated testing, and CI/CD practices
• Propose improvements to reliability, scalability, maintainability, and cost efficiency
• Share knowledge and provide technical guidance
• Perform other related duties as assigned

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Solutions Engineer

• Design, develop, implement, and maintain integrations between applications, services, databases, and external systems using RESTful APIs
• Develop and configure API requests, endpoints, and integration workflows for reliable data exchange
• Implement data mapping, transformation, validation, and serialization processes
• Work with JSON, XML, and other structured data formats
• Integrate internal and third-party APIs according to technical standards and interface specifications
• Support API versioning, backward compatibility, and integration changes
• Collaborate with development teams to resolve interface dependencies
• Develop and execute integration tests for API functionality, data accuracy, response handling, and interoperability
• Use Postman or comparable API testing tools to validate requests, responses, status codes, and error handling
• Troubleshoot connectivity issues, authentication failures, data discrepancies, performance issues, and integration errors
• Implement logging, monitoring, retry mechanisms, and exception handling
• Document defects, investigate root causes, and coordinate corrective actions
• Support integration testing, user acceptance testing, and production deployments
• Implement API authentication and authorization mechanisms such as OAuth 2.0, API keys, and token-based authentication
• Follow security practices for data transmission, credential management, access controls, and sensitive information handling
• Monitor integration performance and improve response times, reliability, and scalability
• Support data privacy and security compliance requirements
• Maintain API specifications, integration workflows, data mappings, configurations, and troubleshooting documentation
• Collaborate with developers, data engineers, QA personnel, architects, and business stakeholders
• Participate in technical design discussions, code reviews, integration planning, and deployment activities
• Maintain and enhance existing integrations
• Identify opportunities to automate integration processes and improve development, testing, and deployment practices

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Integration Engineer

Software Engineer

• Develop, test, and maintain Tableau dashboards and reports communicating KPIs, metrics, trends, and operational or management insights
• Use approved data sources to create reporting views and collaborate on integrations and data transformations
• Configure or support data refresh schedules
• Validate calculations, filters, data accuracy, and dashboard functionality
• Improve dashboard performance, usability, and accessibility based on feedback and standards
• Document dashboard data sources, business rules, calculations, and refresh schedules
• Evaluate reporting and visualization tools for customer requirements
• Support reporting interfaces in customer-approved environments, including Tableau integration into applications or platforms
• Present NLP-generated document classifications and tags for review, search, filtering, and lookup
• Clarify data dependencies and resolve reporting-interface or NLP issues with engineers and developers
• Gather user feedback and recommend interface improvements
• Support user acceptance testing and release of dashboard and reporting-interface updates
• Investigate discrepancies between source data and dashboard results
• Troubleshoot dashboard and data-refresh issues and escalate source-system or pipeline problems
• Follow security, privacy, access-control, and data-handling requirements

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Junior BI Tableau Developer

SDET

• Develop, execute, and maintain automated test scripts based on requirements, technical specifications, and test plans
• Write and modify test code to validate application functionality, system behavior, and expected results
• Assist with automated tests for new features, enhancements, bug fixes, and existing functionality
• Update, repair, and expand test scripts and automation frameworks under senior team guidance
• Support reusable test components to improve testing efficiency and consistency
• Execute automated and manual test cases
• Assist with integrating automated tests into CI/CD workflows
• Perform functional, regression, integration, and smoke testing
• Review requirements, user stories, and acceptance criteria to identify test scenarios
• Validate application outputs, data processing, user interactions, and system responses
• Identify, document, and report software defects with reproduction steps, evidence, and expected versus actual results
• Retest corrected defects and perform regression testing
• Test across browsers, environments, configurations, and platforms
• Follow QA procedures, test standards, and documentation practices
• Investigate test failures and help determine whether issues originate from application defects, test scripts, test data, or environments
• Debug and troubleshoot basic automation scripts and testing issues
• Collaborate with software developers to reproduce defects and verify corrective actions
• Update test scripts and test cases as applications and requirements change
• Escalate complex technical issues, recurring failures, and quality risks to senior QA engineers or technical leads
• Maintain test cases, test scripts, test results, defect reports, and technical documentation
• Participate in requirements reviews, sprint planning, daily stand-ups, and other Agile activities
• Collaborate with QA engineers, software developers, business analysts, and project stakeholders
• Identify test coverage gaps and recommend improvements
• Follow coding standards, version control practices, and software development procedures
• Perform other related duties as assigned

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Junior QA Automation Engineer

• Assist with building, testing, and maintaining data pipelines and integrations under senior engineer guidance
• Write and maintain scripts to automate routine data-processing and engineering tasks
• Support reusable data solutions meeting project and customer requirements
• Configure and maintain data workflows across development, test, and production environments
• Monitor workflows and report data-processing or reliability issues
• Follow procedures for data storage, backup, and recovery
• Write and run unit tests, integration tests, and data validation checks
• Test data systems against requirements and document results and issues
• Investigate data-processing errors and software defects, help resolve them, and escalate when needed
• Maintain testing and troubleshooting documentation
• Configure and maintain data engineering tools and development environments
• Monitor data-platform services and report operational issues
• Support testing and deployment of data solutions
• Follow requirements for system access, configuration, and security
• Collaborate with senior data engineers, developers, IT personnel, and project teams on technical work and customer deliverables
• Follow engineering standards, development practices, security requirements, and project guidelines
• Participate in code reviews, technical discussions, and knowledge-sharing activities
• Suggest improvements to data workflows, repetitive processes, and system reliability
• Perform other related duties as assigned

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Open roles

Data Engineer

Integration Engineer

Junior BI Tableau Developer

Junior QA Automation Engineer

Junior Data Engineer