• Analysis and Planning of Loads/Pipelines: Assess the architecture and requirements of the Data Warehouse. • Map data, transformations and processes to GCP services (Cloud Storage, BigQuery, Dataproc). • Define data migration strategy (full load, incremental, CDC). • Develop a data architecture plan on GCP. • Data Design and Modeling on GCP: Design table schemas in BigQuery considering performance, cost and scalability. • Define partitioning and clustering strategies for BigQuery. • Model data zones in Cloud Storage (Bronze, Silver and Gold). • Development of ELT/ETL Pipelines: Create data transformation routines using Dataproc (Spark) or Dataflow to load data into BigQuery. • Translate business logic and existing transformations into GCP. • Implement data validation and quality mechanisms. • Infrastructure Provisioning and Management: Use IaC tools (Terraform) to provision and manage GCP resources (BigQuery datasets/tables, Cloud Storage buckets, Dataproc clusters). • Configure and optimize Dataproc clusters for different workloads. • Manage networking, security (IAM) and access in GCP. • Performance and Cost Optimization: Optimize BigQuery queries to reduce costs and improve performance. • Tune and optimize Spark jobs on Dataproc. • Monitor and optimize GCP resource usage to control costs. • Data Security and Governance: Implement and ensure data security in transit and at rest. • Define and enforce IAM policies to control access to data and resources. • Ensure compliance with data governance policies. • Monitoring and Support: Troubleshoot performance and functional issues in data pipelines and GCP resources. • Documentation: Document the architecture, data pipelines, data models and operational procedures. • Communication: Communicate effectively with team members, stakeholders and other company areas. • Jira / Agile Methodologies: Familiarity with agile methodologies, their ceremonies and proficiency with Jira.

Title: Digital MRV Solutions Specialist Work location: Remote with the U.S. Reports to: Senior Director, Technology Solutions Verra is a global leader helping to tackle the world’s most intractable environmental and llenges. As a mission-driven non-profit organization, Verra is committed to reducing greenhouse gas emissions, improving livelihoods, and protecting natural resources across the private and public sectors. We support climate action and sustainable development with standards, tools and programs that credibly, transparently, and robustly assess environmental and social impacts. We work in any area where we see a need for clear standards, a role for market-based mechanisms and an opportunity to generate significant environmental and social value. As we continue to grow, we are seeking a Digital MRV Solutions Specialist to assist in advancing state-of-the-art digitalized carbon methodologies and tools for measurement, reporting, and verification (MRV) with a specific focus on nature-based climate solutions. Our commitment to integrity, collaboration, and measurable impact sets us apart in the nonprofit sector. Join us in making a positive impact on the world. The Role. The Digital MRV Solutions Specialist will play a critical role in advancing Verra’s Digital Measurement, Reporting, and Verification (DMRV) program and broader trust infrastructure. The role supports the design, review, and operational deployment of digital methodologies, API-enabled integrations, and data-centric project review systems across climate solutions, including energy, industrial, and nature-based activities. The ideal candidate will demonstrate strategic thinking, a strong commitment to sustainable development, and a proven ability to support the development and execution of robust, scalable digital tools. The Digital MRV Solutions Specialist will contribute across the full digital project lifecycle by working closely with internal technology teams, methodology developers, and external platform providers. This includes defining and assessing API-based integrations between third-party DMRV systems, Verra’s Project Hub, and the Verra Registry to ensure data integrity, traceability, and audit readiness. The role will also support Verra’s transition from document-centric reviews to data-centric, system-based reviews by helping embed validation, verification, and reconciliation logic directly into digital workflows, strengthening transparency and operational integrity. The role will further support the evaluation and responsible application of AI-enabled tools such as data extraction, anomaly detection, consistency checks, and digital review support to improve the efficiency and scalability of methodology implementation and project reviews. Working closely with engineers, methodology teams, and other stakeholders, the Digital MRV Solutions Specialist will help define appropriate controls for these tools (e.g., when human review is required, how exceptions are handled, and how results are documented) and ensure they are fit for purpose in operational workflows. We are seeking a dynamic individual with strong interpersonal skills and relevant experience working with practitioners who implement activities to reduce greenhouse gas emissions and improve livelihoods. The role involves supporting nature-based climate solutions stakeholders by translating technical requirements into clear guidance, surfacing implementation challenges early, and helping teams iterate on digital workflows based on user feedback. This position requires a thorough understanding of carbon quantification tools and methodologies, with experience supporting their digitalization. Responsibilities include reviewing, verifying, and validating digital methodologies; supporting project and pilot reviews; and developing clear, practical guidance to help users implement digital and DMRV-based approaches. The ideal candidate is a dependable and collaborative team player who takes ownership of deliverables and works effectively across organizational boundaries. The opportunity. In this role, the Digital MRV Solutions Specialist helps maintain quality and consistency for Verra’s digital methodologies and DMRV-enabled project workflows. The position supports the review of concept notes, feasibility assessments, and detailed methodologies to ensure both theoretical soundness and practical feasibility for digital implementation. Working within cross-functional teams, the role bridges innovation and execution by translating emerging technologies into robust, operational solutions that integrate with DMRV systems and the Verra Registry. The Digital MRV Solutions Specialist contributes to the design and validation of digital specifications, supports rigorous testing of digital methodologies, and helps drive consistent implementation across projects. The role participates in project and pilot reviews by assessing digitally submitted project descriptions, monitoring data, and verification outputs, including the evaluation of automated checks, system-generated results, and flagged issues. In addition, the position helps define and refine repeatable review criteria for digital and AI-assisted workflows, while identifying gaps, risks, and improvement opportunities observed during pilots and early implementations. What we’d like to see. · Experience with GHG accounting and methodologies, demonstrated by data-modeling skills for structured and semi-structured datasets, preferably in nature-based climate solutions. · Demonstrated experience or strong familiarity with DMRV systems, digital data pipelines, and technology-enabled MRV solutions, including API-driven systems, data schemas, and peer-to-peer integrations in regulated, standards-based, or assurance environments. · Strong understanding of the end-to-end carbon project lifecycle, including data ingestion, quantification and calculation, validation, verification, issuance, and post-issuance monitoring, with the ability to translate business, scientific, or policy requirements into practical technical solutions. · Practical experience supporting or integrating AI-assisted tools/workflows used in operational systems, such as document analysis, ingestion and extraction, data validation, classification, anomaly detection and quality control, and risk scoring, combined with a solid understanding of AI/ML concepts and the ability to assess the appropriateness, limitations, and integrity implications of automation. · At least five years of relevant professional experience, preferably within a standards organization, carbon project developers, validation/verification bodies, or DMRV providers, with hands-on experience working with environmental, geospatial, IoT, or remote sensing data such as sensor feeds, satellite imagery, and project activity datasets. · A technical degree in a relevant field such as agriculture, forestry, engineering, environmental science, or a related discipline. · Strong project management and organizational skills, including the ability to prioritize effectively and work efficiently under deadlines. · A high level of digital and analytical literacy, including experience working with models and tools such as Excel and other analytical or data management platforms (e.g., GIS or statistical tools); the ability to write basic programming or scripting languages is an asset. · Demonstrated cultural awareness and the ability to collaborate effectively with stakeholders and partners across diverse countries and contexts. · Excellent written and verbal communication skills; fluency in English is required, and fluency in additional languages is an asset. Physical Demands. The physical demands described here are representative of those a teammate must meet to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. · Specific vision abilities required by this job include close vision requirements due to computer work. Work Environment. The work environment characteristics described here are representative of those encountered by teammates while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. · Ability to sit at a computer terminal for an extended period. · Access to reliable Wi-Fi with a distraction-free workspace. Working at Verra. Verra is a global leader helping to tackle the world’s most intractable environmental and social challenges. As a mission-driven non-profit organization, Verra is committed to helping reduce greenhouse gas emissions, improve livelihoods, and protect natural resources across the private and public sectors. We’ve created a culture of flexibility + autonomy. You’ll be able to work with remote teams from diverse countries and industries. For this position, the salary range is between $70,000 -$83,000 USD. The compensation band is based on a U.S. base salary range and shares the min and max base salary for the position. This position is eligible for remote work. The final compensation offered will be contingent upon role, level, and location. Our Talent team can share the specific salary range for your preferred location during the hiring process. Salary is one component of Verra’s total compensation package, which also includes: · Medical, vision and dental care, and life insurance · Verra contributions to each employee’s retirement plan/pension scheme with employee and employer contributions · Paid leave, comprising 22-30 days vacation, 7 days of annual sick leave, holidays, and sabbatical after five years of service Verra is committed to diversity, equity, and inclusion in all our work, and doing this successfully is crucial for us to embody our established values, which are Teamwork, Results, Integrity, Balance, and Exploration. We actively celebrate belonging among our team members’ different abilities, sexual orientations, ethnicity, faith, and gender. How to Apply. Please send us a Cover letter (not to exceed one page) and your Resume/CV (not to exceed two pages). Verra provides equal opportunity for all job applicants and employees and is committed to providing a work environment free of discrimination. As such, we conduct our recruitment and hiring without regard to race, color, religion, gender identity, sex, sexual orientation, national origin, age, marital status, pregnancy, physical or mental disability, genetics, veteran status, or any other characteristic protected by applicable federal, state, and local law. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, perform crucial job functions, and receive other benefits and privileges of employment. Please contact humanresources@verra.org to request accommodation.

• Design, develop, test, deploy, monitor, and continuously improve high-quality data models and transformation pipelines using dbt within a Databricks Lakehouse environment. • Build scalable, maintainable, and reusable data models, macros, testing frameworks, and automation logic that address cross-functional AR Follow-Up needs. • Collaborate with operational and product stakeholders to translate AR workflows into technical designs and incremental deliverables that enable automation and intelligent prioritization. • Partner with data architecture to establish, document, and advocate for analytics engineering standards, modeling conventions, naming patterns, and testing best practices. • Participate in and help lead technical design sessions, spike investigations, and data architecture reviews to ensure alignment with long-term platform and automation strategy. • Engage in code reviews to ensure data model quality, promote modular and testable design, and mentor engineers through constructive, actionable feedback. • Troubleshoot complex data issues across ingestion, transformation, and semantic layers, driving sustainable, long-term fixes. • Contribute to a culture of analytics engineering excellence by promoting automation, observability, data quality testing, governance, and continuous improvement. • Design and optimize Delta Lake tables and Spark workloads for performance, scalability, and cost efficiency. • Help evaluate emerging tools, frameworks, and vendor solutions within the modern data ecosystem and provide guidance on their potential impact or value. • Support the transformation of AR Follow-Up through structured datasets that enable Account prioritization and scoring, Denial categorization and trend analysis, Aging analysis and performance tracking, Workflow routing and automation logic.

Role Description Narvar is growing! We’re building the data infrastructure behind the post-purchase experiences of hundreds of millions of consumers. We’re looking for a Senior Data Engineer to own and evolve the pipelines, platforms, and data products that power Narvar’s analytics, ML, and merchant-facing products. You’ll work across the full stack of our data infrastructure, from ingestion and transformation to the analytics surfaces our merchants use every day. You’ll make architectural decisions, ship production systems at scale, and we expect you to work in an AI-native way, using agentic coding tools to increase your leverage and ship faster. What You’ll Work On - Design, build, and operate data pipelines that process terabytes of transactional data daily using Airflow/Composer and BigQuery - Own end-to-end data models and transformations that power merchant analytics, operational reporting, and ML features - Build and maintain embedded analytics infrastructure — the data products our merchants interact with directly - Evolve our data platform on GCP, including BigQuery, Cloud SQL, AlloyDB, and CDC datastreams - Improve data quality and reliability through testing, observability, alerting, and validation frameworks - Own data lineage, metadata, and documentation, and help prepare our data layer for agentic and LLM-powered use cases with semantic clarity and standardized metric definitions - Collaborate cross-functionally with product, ML, and GTM teams, and contribute to technical direction through design docs and architecture decisions Qualifications - 5–8 years of experience building and operating production data systems - Strong SQL skills and proficiency in Python, with flexibility to pick up other languages as needed - Comfortable building and maintaining APIs - Experience with modern data stacks on cloud platforms (GCP preferred, but AWS or Azure transfers well) - Understanding of data modeling — dimensional modeling, slowly changing dimensions, incremental processing - Treat data quality, lineage, and observability as first-class engineering concerns - Clear communication with technical and non-technical stakeholders - Experience using AI and agentic coding tools for planning, code generation, debugging, and code review Requirements - Experience in startup or high-ownership environments where you wore multiple hats - Experience building or maintaining embedded analytics or multi-tenant data products - Excitement about making data accessible to AI systems - Interest in cost optimization and data governance Benefits - Startup-level ownership with platform-level impact - Work on a team that values thinking, judgment, and responsibility Company Description We are an equal-opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Below is the estimated annual salary for this position and does not include the other components that make up a Narvar offer including: annual bonus, equity, and benefits. The range reflects the minimum and maximum target for new hire salaries for the position across the US. Within the range, individual compensation packages are based on factors unique to each candidate, including but not limited to, skill set, education and certifications, and work location. Narvar Pay Range: $135,000 — $190,000 CAD Please read our Privacy Policy to learn what personal information we collect in connection with your job application, and how we may use and share it.