• Design, develop, and maintain databases supporting IVR and contact center systems • Support databases used by runtime IVR services and analytics platforms • Design and maintain relational data models for IVR event, routing, and call data • Write, maintain, and optimize SQL for application logic, configuration changes, and investigations • Ensure database availability, integrity, performance, and scalability in production environments • Support storage and availability of IVR event logs, call lifecycle data, and routing outcomes for analytics and reporting • Monitor and troubleshoot production databases and support incident investigations • Collaborate with architects, application developers, DevOps, QA, and Analytics teams on platform changes and improvements

Role Description Our Customer Data Engineers own data integration with our customers, ensuring they get value from Gridsight's platform quickly and seamlessly. This is equal parts customer-facing and technical. You'll work directly with utility customers to help them understand what data we need, review what they send, give feedback on issues, and get it into the platform. You'll spend roughly half your time in conversations with customers and half heads-down wrangling data, running transforms, and configuring the system. What makes this role distinctive is where it's heading. We're continuously building better tooling to streamline data onboarding, and we want someone who accelerates that shift. From day one, we expect you to approach the work with a tool-first mindset — questioning manual steps, reaching for automation, and helping us develop internal products that make it a faster, more repeatable process. Over time, the role can grow in two directions: deeper into product engineering, or deeper into customer ownership and leadership. We'll support whichever direction plays to your strengths. Qualifications - Strong communication skills — you can explain technical data requirements to non-technical people, give constructive feedback, and manage expectations with confidence. - Proactive and self-directed — you see what needs doing and drive it to completion without close supervision. - Strong SQL skills with demonstrated ability to analyse, validate, and wrangle messy datasets. - Experience with dbt or similar ELT frameworks, and exposure to working within data pipelines. - Experience in customer-facing or consulting-style technical roles with external stakeholder management. - Comfort with ambiguity — customer data environments are inconsistent and varied, and there won't always be a playbook. - Ability to manage your own time and priorities across multiple concurrent customer engagements. - 3+ years of professional experience in data engineering, data analysis, technical consulting, or a similar role involving both technical and stakeholder-facing work. Requirements - Work directly with utility customers to help them understand what data Gridsight requires, in what format, and how to provide it. - Review incoming customer data against expected schemas and quality standards, providing clear and constructive feedback on issues. - Onboard customer data into the platform using tooling and transformation workflows. - Identify and act on opportunities to improve our internal tooling, automating manual steps, improving validation, and making the data onboarding process more efficient, high quality and repeatable. - Drive customer data deliveries to completion — following up, unblocking, and maintaining momentum through the implementation process. - Manage complex customer situations with composure: unrealistic timelines, incomplete data, shifting priorities, and competing demands. - Identify and act on opportunities to automate manual steps, improve tooling, and make the data onboarding process more efficient and repeatable. What Would Set You Apart - A track record of improving processes — automating manual work, building internal tools, or introducing better ways of working. - Expertise in leveraging AI-assisted development tooling. - Experience in energy, utilities, or infrastructure domains. - Experience with data quality frameworks, monitoring, or observability. Benefits - Competitive salary and equity package. - Remote-first, with head office in Sydney. - A talented team of engineers, data scientists, and power systems specialists working on hard problems that matter. - A role with clear growth pathways into product and tooling, or deeper customer ownership.

Role Description As the WASH Data Fellow, you will contribute to World Vision’s mission, advancing access to clean water, sanitation, and hygiene as foundations of child well-being. This role supports World Vision’s five-year Global WASH Business Plan spanning 42 countries and emphasizing innovation, advanced analytics, and data-informed decision-making. - Keep Christ central in individual and corporate life. - Query and manipulate programmatic output and financial data through ETL processes from multiple databases to prepare multi-dimensional datasets for ongoing analysis and dynamic forecasting. - Lead Machine Learning and Data-Informed Solutions: Design and implement data engineering and analytics pilot projects to enhance WASH programs’ long-term impact and sustainability. - Build Data Accessibility: Create near-real-time data visualization products for WASH team members. - Analyze Data from Remote Sensing & Hydraulic Models: Collaborate with team members to analyze data from small scale rural water system meters. - Communicate Project Results: Contribute to creating reports, visualizations, and presentations that showcase the impact of our WASH work. - Engage in Mentorship and Professional Development: Work with and be mentored by WASH leaders. Qualifications - Bachelor's degree is required. - Ability to clean, join, and analyze structured datasets to answer programmatic or financial questions. - Ability to implement or adapt basic predictive or classification models using existing libraries, with guidance. - Ability to build data pipelines between systems using APIs, scripts, or other methods as necessary. - Interest in learning about and working in the WASH sector. Requirements - Bachelor's degree is required. - Ability to clean, join, and analyze structured datasets to answer programmatic or financial questions. - Ability to implement or adapt basic predictive or classification models using existing libraries, with guidance. - Ability to build data pipelines between systems using APIs, scripts, or other methods as necessary. - Interest in learning about and working in the WASH sector. Benefits - Estimated hiring range is $27 - $33.50 per hour. - The posted hiring salary range reflects pay for U.S. locations and is determined using market data and internal compensation guidelines. - Actual compensation may vary depending on the candidate’s geographic location, job-related experience, and applicable laws.

Title: Data Engineer Location: Remote - USA Full Time Mid Level Job Description: Data Ideology At DI, we provide Data & Analytics expertise to drive measurable business outcomes, often solving complex business problems for our clients. Our data analytics advisory services enable our customers to transform data into insights by driving a culture of empowerment and ownership of results. Our team consists of highly motivated individuals passionate about learning, understanding, collaborating, and intellectually curious. Data Engineer We are looking for a Data Engineer to join our growing team. Data Engineer will leverage their business and technical knowledge to develop production-ready data models by integrating multiple data sources while working with business and technical teams to understand business strategy and objectives, gather information, and ensure business requirements are being fulfilled throughout the entire data & analytics lifecycle. Responsibilities To perform in this position successfully, an individual must be able to perform each essential duty satisfactorily. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. Other duties may be assigned to meet business needs. - Ability to collect and understand business requirements and translate those requirements into an actionable data warehouse plan. - Knowledge of multi-dimensional and tabular design patterns and ability to identify solutions that leverage these modeling techniques. - Ability to work within the SDLC framework in multiple environments and understand the complexities and dependencies of the data warehouse built within those constraints. - Ability to define and implement best practices across database design and ETL. - Ability to direct the work of others, including but not limited to directing ETL development, demonstrating an understanding of key concepts of ETL/ELT, including best practices for optimization and scheduling. Supervisory Responsibilities: None Qualifications Education and Experience: - Proven understanding of Data Warehousing, Data Architecture, and BI. - Experience with data pipelines and architecture/engineering. - Knowledge of modern apps and data platforms. - Cloud-based project implementation. - Python or Java experience is a plus Knowledge, Skills, and Abilities: - BI/Data Warehousing (4+ years) - Cloud platforms (2+ years) - ETL (4+ years) - SQL (4+ years) - Data Modeling - Data Vault Modeling - Healthcare experience a plus Work Environment: - Remote work from home. - Hours of work and days are generally Monday through Friday. Specific business hours will depend on client needs. Physical Demands: - Must be able to remain in a stationary position 50% of the time. - The person in this position must occasionally move about inside the office to access file cabinets, library stacks, office machinery, etc. - Constantly operates a computer and other office productivity machinery, such as a calculator, copy machine, and printer. - The person in this position frequently communicates with clients and coworkers. Must be able to exchange accurate information in these situations. Benefits:Eligible for Medical, Dental, Vision, 401(k), training and certification reimbursement, and flexible time off in accordance with company policies.