Role Description Interested in working at a fast-paced growing FinTech company? Have a desire to work with the latest technologies including Python, Amazon Web Services (AWS), and custom-built APIs? If so, we are excited to have you join the Green Street technology team. We are looking to hire a talented, hands-on data engineer, who is interested in working on our cloud-based solutions for pipelining public and private data from multiple sources throughout our systems. You will be working on an Agile team dedicated to: - Parsing and processing, aggregating, and enriching the latest CRE data used by our clients and an internal team of researchers. - Providing the most comprehensive view of the Commercial Real Estate in the world. What’s it like working with our team of dedicated technologists? We are passionate about: - Great Agile teams. - Engineering excellence through paired programming and automated testing. - Close collaboration with each other and a highly transparent tech organization. You’ll have multiple opportunities to work on interesting projects, move around teams, and engage with some of the brightest engineering minds anywhere. We love great engineers, and we are excited to get to know you better. Please share your resume today! Qualifications - A Bachelor’s degree in Computer Science / Engineering or comparable experience. - Excellent programming skills with a minimum of 5 years of experience in Python (e.g. Pandas, SQLAlchemy, Flask, FastAPI, etc.). - Extensive database skills with a minimum of 5 years of experience in either MySQL, SQL, or PostgreSQL. - Proficiency with Git is required; previous experience with the Atlassian product family (Confluence and Jira) is a plus. - Must enjoy collaborative problem solving, have excellent communication skills, and demonstrate attention to detail. - Prepared to work independently in a fast-paced, agile environment with the ability to multitask. - Track record of keeping up with new cloud technologies, languages, standards, and practices. - Prior knowledge of finance, real estate data, mathematics, or GIS / spatial data is a plus. - Ability to work independently with minimal supervision. - Ability to collaborate effectively with a remote team. Requirements - Architect and build database schema, data ingestion models, ETLs, and testing to uphold data integrity and availability. - Develop, maintain, and optimize current data architecture and pipelines, while maintaining documentation. - Provide leadership and mentorship to junior team members through training, pair programming, and code reviews. - Collaborate with product, research, operations, and front-end teams to build innovative solutions to achieve business goals. - Perform analysis on large aggregated datasets (e.g. demographic, geographic, GIS / spatial). - Work directly with a development team in California and other offshore development team members in various time zones. - Able to overlap with US West coast 3 – 4 hours to handle hand-over discussions, triage issues, etc. Knowledge & Skills - Excellent Python Programming knowledge. - Excellent scripting skills and an extensive knowledge of SQL with the ability to write advanced queries to manipulate datasets. - Knowledge of and passion for database design, optimization techniques, and warehousing. - Strong leadership and interpersonal skills. - Ability to quickly learn, internalize complex pipelines, and efficiently troubleshoot bugs. - Experience with AWS infrastructure and CI / CD, and interest in front end technologies is a plus. - Prior experience developing scalable APIs (REST and GraphQL) is a plus.

Title: Data Engineer Location: Northfield Dr W, Waterloo, ON, Canada - temprop="jobLocation" itemscope="" itemtype="http://schema.org/Place">Employees can work remotely - temprop="employmentType">Full-time - Department: Technology Enablement Company Description Who We Are With every job, there’s always the question of “why”. Why join a company? Why be part of their mission? Here, the why is easy. It’s because at some point, we’ve all needed someone there for us. At the OTIP Group of Companies (OGC), we believe that something special happens when employees feel valued for the work they do, supported as the people they are, and included in the very fabric of the organization: they bring their best to work every day. And that's why we mean it when we say we put our people at the centre of everything we do. Join us as we grow our way into a future that reimagines what it means to deliver meaningful benefits support and service. Job Description What You’ll Do: Reporting to the Senior Manager, Data Management, the Data Engineer designs, develops, and maintains scalable data pipelines and modern data platforms, primarily supporting a Python based data processing platform, focusing on Master Data Management (MDM) processing and MDM platform modernization. This role will play a critical part in enhancing existing MDM data processing, migrating existing Python-based pipelines to Snowflake, and implementing MDM solutions to deliver high-quality, trusted enterprise data. The core parts of your role will be to: - Design, develop, and enhance data pipelines to ingest and process data from multiple source systems and file formats. - Apply data quality rules, validations, and thresholds within data pipelines to ensure reliable and accurate data is loaded to databases. - Implement and manage CI/CD pipelines to enable automated deployment using Azure DevOps. - Support the migration of existing Python-based solutions to Snowflake, and MDM platforms (e.g., Profisee), supporting platform modernization. - Monitor and support data pipelines to ensure they meet expectations, maintain robustness, and adhere to security standards. - Collaborate with Data Architecture and Data Governance for critical platform and portfolio initiatives in collaboration with business and technology stakeholders. - Support the conversion of SSIS packages to ADF as part of Cloud migration. - Collaborate effectively with cross-functional teams and external partners across the organization. - Ensure compliance with data stewardship standards, governance policies, and data security procedures Qualifications Let’s Talk About You: This is the unique blend of skills and experience we would love to see in an ideal candidate: - Qualifications: - Bachelor’s degree in computer science, engineering, or a related field (or equivalent practical experience). - 3+ years of experience working as a Data Engineer using Python and SQL Server / Azure SQL. - 2+ years of experience using Azure DevOps, including Repos and CI/CD pipelines. - 3+ years of relational databases, preferably SQL Server and Azure SQL. - 3+ years of experience with Azure Data Factory (ADF), SSIS, and SSMS, including pipeline orchestration. - Solid understanding of ETL / ELT patterns and data modeling best practices. - Knowledge of Medallion Architecture within enterprise data warehouse environments. - Strong analytical and problem-solving skills with high attention to detail. - Ability to manage multiple priorities and work independently with minimal supervision. - Excellent verbal and written communication skills. - Experience working in Agile/Scrum delivery environments. - Knowledge or hands-on experience with Snowflake is an asset. - Practical experience implementing Master Data Management (MDM) solutions or frameworks is an asset. - Experience or familiarity with MDM tools such as Profisee or Informatica is an asset. Additional Information Salary Range: This position offers a competitive salary within a range of $87,730 to $120,600, along with rewarding bonuses that recognize your dedication. At the OTIP Group of Companies (OGC), we value transparency and take multiple factors into account when determining your starting salary, including your skills, experience, and alignment with the role as well as internal equity, while positioning you for continued growth and recognition over time. Some of the Perks We Offer: We offer best-in-class pension and benefits, total reward programs and comprehensive mental wellness support to set you up for every success in and outside of work. Here are just some of the reasons you’ll love working here: - Defined benefit pension plan for a financially confident retirement - 100% coverage of approved continuing education and licensing fees (including RIBO courses in Ontario) - Access to a wealth of learning resources, including LinkedIn Learning for professional development - Flexible work-from-home and hybrid options - Unlock your potential with opportunities for advancement Recruitment Process: Please note that we do not currently use artificial intelligence (AI) in our recruitment process and this position is being posted to fill an existing vacancy. OTIP and its group of companies strive to create an accessible and inclusive work environment where everyone is treated with respect and dignity. Upon individual request, we will endeavor to remove any barrier to the recruitment and selection processes and provide accommodations for persons with disabilities. As a business, we protect what matters most to our members. As an employer, we value what matters most in our workplace. Together, this includes fostering a diverse, equitable and inclusive environment for all. We are committed to learning and evolving so we can continue to celebrate what makes us special. You are who you are, and our differences are what make us unique. We are an equal opportunity employer and encourage applications from all qualified individuals. We thank all applicants for their interest; however, only candidates selected for an interview will be contacted. #LI-Remote, #LI-Hybrid

Title: Data Architect (SR-5269193-ARCH) Location: Remote – United States Job Description: I. DESCRIPTION OF SERVICES The scope of the proposed services will include the following: Design the vision and blueprint of an organization’s data framework. Design and manage data systems, set policies for how data is stored and accessed, coordinate various data sources within an organization, and integrate new data technologies into existing IT infrastructures. Data modeling and design, including software development and database administration. II. CANDIDATE SKILLS AND QUALIFICATIONS Years Required/Preferred Experience 10 Required Professional experience in data ecosystems writing SQL queries, building ETL pipelines, and designing data architecture. N/A Preferred Bachelor’s degree in Computer Science, Computer Engineering, Data Science, Management Information Systems, or Information Technology. 2 Preferred Prior experience working with public health agencies (e.g., CDC, NIH, or State Departments of Health) to modernize legacy data infrastructures. Note: Expected Start Date 07/01/2026 and Expected End Date 06/30/2027. May not be extended beyond June 30, 2029. Hours worked should be within the State’s core hours of 7:00 AM CT to 6:00 PM CT. In addition, Contractor personnel may be required to work on State holidays, weekends and hours outside of the State’s core business hours in order to meet critical deadlines. JOB CODE: SR-5269193-ARCH

Role Description PROtect is seeking an NDE Data Analyst to support our growing Pipeline Integrity group. This role is responsible for reviewing inspection data and reports for accuracy, completeness, and compliance with client and company requirements, while helping ensure deliverables are issued on time. This position plays a key role in the quality and consistency of our reporting process. The right candidate will be detail-oriented, organized, able to manage multiple priorities, and comfortable communicating with technicians, internal teams, and clients. In addition to data review and report quality control, this role may also support training activities, process improvement initiatives, and other special projects that strengthen the overall Pipeline Integrity program. Safety and quality are expected to remain the top priority in all aspects of the job. Key Responsibilities - Follow all PROtect and client safety rules, requirements, and expectations - Uphold PROtect’s core values in daily work and interactions - Review inspection data and reports for accuracy, completeness, and technical validity - Verify reports and deliverables meet client requirements, internal procedures, and established quality standards - Track assigned projects and reporting timelines to help ensure on-time delivery - Maintain organized project records and documentation in accordance with PROtect requirements - Communicate with NDE technicians to resolve data gaps, clarify findings, and support report completion - Respond to post-job client requests related to reporting and data deliverables - Prepare, edit, and finalize computerized reports and supporting documentation - Assist with quality control efforts, internal audits, training support, and continuous improvement initiatives - Support special projects and other assigned duties as needed Qualifications - High school diploma or equivalent - Ability to complete required company safety and job-related training - Demonstrated ability to learn and apply procedures, methods, and tools required for the role - Strong organizational skills and ability to manage multiple assignments with changing priorities - Ability to work under deadlines and deliver accurate work on schedule - Strong written and verbal communication skills - Ability to follow detailed procedures and instructions with consistency - Proficiency in Microsoft Office Suite - Valid driver’s license Preferred Qualifications - Experience with NDE, pipeline integrity, or related inspection operations - Experience reviewing technical reports, inspection data, or quality documentation - Familiarity with ultrasonic inspection, magnetic particle inspection, or related NDE methods - Knowledge of pipeline integrity maintenance or rehabilitation workflows - Experience with data systems, reporting tools, or basic coding/programming Working Conditions - Primarily office-based, with occasional field, shop, or site visits as needed - May involve interaction with field crews, supervisors, clients, and operations personnel - Some exposure to shop or field environments, including noise, weather, and changing site conditions - Occasional travel may be required - Overtime and weekend work may be required based on workload and project deadlines Physical Requirements - Ability to communicate effectively - Ability to observe details and review reports and technical information accurately - Ability to perform computer-based work and other assigned duties - Ability to travel to off-site locations and move within office, shop, or field environments What Success Looks Like - Reports are accurate, consistent, and delivered on time - Communication with technicians and internal teams is proactive and effective - Client requests are handled professionally and promptly - Quality issues are identified early and resolved efficiently - The reporting process becomes more organized, scalable, and dependable as the group grows Job Posting Blurb PROtect is hiring an NDE Reporting & Data Analyst to support our growing Pipeline Integrity team. This role is responsible for reviewing inspection data and reports, ensuring quality and compliance, tracking deliverables, and supporting on-time reporting to clients. We are looking for someone who is detail-oriented, organized, and able to work across technicians, operations, and clients to keep projects moving. Experience with pipeline integrity, NDE methods, technical reporting, or quality control is preferred.