Title: Data Migration Specialist. ERP and Operational Systems Role purpose The Data Migration Specialist is responsible for planning, executing, validating, and reconciling data migrations from legacy systems into ERP and operational platforms. This role ensures that historical and transactional data is migrated accurately, completely, and in alignment with business and regulatory requirements. This role is execution-focused and works within the standards defined by the Data Architect. This is a remote role open to people who reside in states as listed: AZ, CA, CO, DC, FL, GA, IL, KS, KY, MD, MA, MI, NM, NC, OH, SC, TN, TX, UT, VA Key responsibilities Migration planning and execution - Analyze legacy data sources and assess data readiness for migration. - Develop data extraction, transformation, and load (ETL) plans aligned to target systems. - Build and execute migration scripts, tools, and repeatable migration processes. - Perform mock conversions and final production cutovers. Data mapping and transformation - Create detailed source-to-target mapping documents. - Apply transformation rules, data cleansing logic, and enrichment where required. - Validate that migrated data aligns with target ERP configuration and business rules. Data validation and reconciliation - Perform row-level and aggregate reconciliations pre- and post-migration. - Validate financial balances, open transactions, and historical records. - Partner with finance and operations teams to confirm business signoff. - Document issues, resolutions, and lessons learned for reuse. ERP and OpCo rollout support - Support phased ERP and OpCo migrations. - Participate in cutover planning and execution. - Support hypercare by resolving migration-related defects and data issues. - Maintain migration runbooks and documentation. Required qualifications - 5+ years of experience performing data migrations for ERP or large enterprise systems. - 5+ years of hands-on experience with SQL and data transformation techniques. - Experience migrating data from accounting, project, or operational systems. - Strong reconciliation and validation skills, especially for financial data. - Ability to work under cutover timelines with precision and discipline. Preferred qualifications - Experience migrating from mid market systems such as Sage, Great Plains, QuickBooks, or similar. - Experience supporting ERP systems such as BuildOps, Procore, or comparable platforms. - Experience with ETL tools, scripting, or migration frameworks. - Experience supporting multi-entity or multi-company data migrations. Success measures - Accurate, repeatable migrations with minimal rework. - Clean cutovers with validated financial and operational data. - Reduced hypercare issues tied to legacy data. - Well-documented, reusable migration processes.

• Atuar no nosso time em um projeto estratégico • Utilizar metodologias ágeis e em um ambiente de inovação • Ser um pilar fundamental nos melhores e maiores projetos de TI do Brasil e em nível global • Comprometimento com o sucesso do nosso cliente e com o desenvolvimento da sua carreira dentro da Minsait

Role Description As a Senior Manager, Data Integration, you’ll have the opportunity to make a meaningful impact by helping advance the mission of USGBC. This role is accountable for driving enterprise-wide data maturity, enabling scalable, future-state architecture that supports advanced analytics, AI/ML, and data-driven decision-making. You’ll report to the Senior Director, Data Strategy & Solutions and be part of a collaborative team environment where your contributions will have immediate and impactful outcomes for data consumers. You’ll work closely with business and technology teams across the organization to serve as the enterprise lead for data integration strategy, defining the vision, roadmap, and standards for how data is structured, governed, and leveraged across USGBC. Key Responsibilities - Manage a technical team of 1-3 data engineering resources. - Lead the day-to-day operations and tasking of your team. - Manage workload, breaking down high-level direction to smaller tasks. - Foster an inclusive team environment focused on professional growth and development. - Lead the design, implementation, and maintenance of a modernized ELT solution at USGBC. - Establish and meet goals for data pipeline transparency, optimized orchestration, performance monitoring, and incident response. - Lead the expansion of USGBC’s data governance program. - Engage business and technology teams to standardize processes, clarify roles & responsibilities, define & ensure data quality, and deliver end-to-end transparency in data lineage. - Oversee the transformation of USGBC’s cloud data environment into a medallion architecture aligned with the data governance framework. - Support product launches with rapid data integration solutions. - Support the expansion of data accessibility and literacy at USGBC. - Stay current with the rapidly evolving data industry. Qualifications - 7+ years’ experience in data warehouse or application database development, analytics, business intelligence, or related field. - 5+ years’ of active and frequent coding experience in SQL required. - 3+ years’ hands-on experience with enterprise level-cloud data warehousing/ETL/ELT solutions. - 2+ years’ experience developing ELT/ETL & orchestration solutions in a structured ELT/ETL environment. - 2+ years’ experience working under a formal enterprise-level data governance program required. - 2+ years’ supervisory experience managing the work of technical/engineering resources. - Foundational understanding of relational and dimensional modeling techniques is required. - Experience with git preferred. - Experience with ERP solutions such as SAP and CRM solutions such as Salesforce preferred. - Passion for and commitment to USGBC’s mission. Requirements - Bachelor’s degree (advanced degree preferred) in computer science, business intelligence and analytics, information technology management, data science, or related field. - Required: Snowflake, MySQL, Openflow/ApacheNiFi (or similar cloud-based orchestration tool), and Python required. - Preferred: Salesforce, git, AWS, Fabric, Auth0, Entra, Sharepoint. Skills - Expert data engineering skills, specifically in SQL data pipeline design and development. - Strong initiative and problem-solving skills required. - Strong project and resource management skills. - Self-management and self-knowledge. - Excellent written & verbal communication skills. Certifications - SnowPro Core Certification required within one year of hire. - LEED Green Associate required within one year of hire. Benefits - Competitive compensation. - 401(k) with employer matching. - Professional development reimbursement. - Healthcare plan through Cigna covering 100% of premiums. - Generous paid time off (12 paid holidays, 9 paid personal sick days, and 2 to 3 weeks PTO). - 6 weeks paid renewal leave after 7 years of continuous service. Logistics - Location: This position is remote in the U.S. - Work Schedule: 9:00 to 5:30 PM at the candidate’s time zone. - Travel %: 5 %. EEO Statement U.S. Green Building Council is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

At Gopuff, data sits at the heart of our strategy. We are reimagining how people purchase everyday essentials, from snacks to household goods to alcohol, all delivered in minutes. To fuel this mission, we are seeking a Data Engineer to design, build, and scale the data systems that power insights, experimentation, and operational excellence across the company. As a Senior Data Engineer, you will play a critical role in shaping Gopuff’s modern data platform. You’ll architect reliable pipelines, create insights ready data products, and collaborate closely with analytics, product, and engineering teams to ensure data is trustworthy, discoverable, and ready for action. This is a highly technical, hands-on role for an engineer who wants to solve complex data problems at scale and directly influence business outcomes. Responsibilities - Design, build, and maintain scalable batch and real-time data pipelines that power analytics, experimentation, and machine learning - Contribute to the architecture and maintenance of the Data Platform, ensuring systems are performant, cost-efficient and scalable - Partner cross-functionally with analytics, product, engineering and operations to deliver high-quality data solutions that drive measurable business impact - Develop and maintain curated, well-modeled datasets that serve as trusted sources of truth across the organization - Champion data quality, reliability, and observability by implementing best practices in testing, monitoring, lineage, and incident response - Contribute to team standards, patterns, and best practices - Drive improvements to infrastructure, developer workflows, CI/CD, and data platform tooling Preferred Qualifications - 3-5 years of experience in data engineering or software engineering with a strong focus on data platform development - Proven experience building and scaling modern data platforms and delivering high-impact data solutions - Strong communication skills and the ability to work closely with technical and non-technical partners - Passion for building reliable, accessible, and high-quality data products Technical Expertise - Strong proficiency in Python and SQL - Experience with modern cloud data warehouses and lakes (e.g., Snowflake, BigQuery, Databricks) - Experience building batch pipelines using DAG-based orchestrators (e.g., Dagster, Airflow) - Experience with event-driven architectures using Kafka, Kinesis, or Event Hubs - Experience developing real-time or streaming pipelines using Apache Beam, Flink, or Spark Streaming - Experience deploying applications and services to Kubernetes and using tools such as ArgoCD, Helm or Istio - Experience implementing DevOps concepts within data workflows (CI/CD, observability, monitoring, lineage) - Experience with Infrastructure-as-Code (e.g., Terraform) Compensation - Gopuff pays employees based on market pricing and pay may vary depending on your location. The salary range below reflects what we’d reasonably expect to pay candidates. A candidate’s starting pay will be determined based on job-related skills, experience, qualifications, interview performance, and market conditions. These ranges may be modified in the future. Exceptions may be made for exceptional individuals. For additional information on this role’s compensation package, please reach out to the designated recruiter for this role. - This role is eligible for a discretionary annual cash bonus and participation in Gopuff’s equity incentive plan. - Remote Base Salary Range: $118,000 - $148,000 Benefits Overview - Medical/Dental/Vision Insurance - 401(k) Retirement Savings Plan - HSA or FSA eligibility - Long and Short-Term Disability Insurance - Mental Health Benefits - Fitness Reimbursement Program - 25% employee discount & FAM Membership - Flexible PTO - Group Life Insurance - EAP through AllOne Health (formerly Carebridge) The only predictable thing about life is that it’s wildly unpredictable. That’s where we come in. When life does what it does best, customers turn to Gopuff to deliver their everyday essentials, and to get through their day & night, work day and weekend. We’re assembling a team of thinkers, dreamers & risk-takers...the kind of people who know the value of peace of mind in an unpredictable world. (And people who love snacks.) Like what you’re hearing? Welcome to Gopuff. #LI-GOPUFF The Gopuff Fam is committed to an inclusive workplace where we do not discriminate on the basis of race, sex, gender, national origin, religion, sexual orientation, gender identity, marital or familial status, age, ancestry, disability, genetic information, or any other characteristic protected by applicable laws. We believe in diversity and encourage any qualified individual to apply. We are an equal employment opportunity employer.