Role Description We’re hiring a Staff Data Engineer to design and build robust data pipelines for our corporate Data Lake. In this role, you’ll own data products end-to-end in production, work autonomously on significant projects, and mentor junior engineers. You’ll be expected to make sound data engineering trade-offs under limited supervision, with strong hands-on experience in Spark, Databricks, Delta Lake, and Airflow. At Pismo, the Data Lake team is responsible for centralizing and organizing data into a single, trusted platform that supports decision-making across the company and for external clients. We work on challenges such as: - Scaling global data infrastructure - Delivering high-quality reporting - Enabling secure, self-service access to data Key responsibilities include: - Design and implement data ingestion and transformation pipelines (batch and near-real-time) using PySpark/SparkSQL on Databricks. - Own data pipelines end-to-end in production: freshness, correctness, availability, and SLA adherence. - Build and maintain Delta Lake tables following medallion architecture patterns (bronze/silver/gold). - Design and optimize Airflow DAGs (MWAA) for complex orchestration scenarios. - Implement and maintain data quality frameworks (Great Expectations or equivalent) as integrated pipeline gates. - Write advanced SQL for data modeling, transformation, and performance optimization. - Conduct thorough code reviews and mentor Analyst-level engineers through pairing and design guidance. - Investigate, diagnose, and resolve data quality incidents and pipeline failures independently. - Collaborate with Analytics, BI, and Product teams to design consumer-friendly datasets. - Contribute to CI/CD, testing standards, and data governance practices. This is a remote position. A remote position does not require job duties to be performed within proximity of a Visa office location. Remote positions may be required to be present at a Visa office with scheduled notice. #LI-Remote Qualifications - Apache Spark (PySpark, SparkSQL) — production experience - Databricks (jobs, workflows, cluster management, tuning) - Delta Lake (ACID tables, OPTIMIZE, VACUUM, schema evolution, MERGE) - Advanced SQL (window functions, CTEs, query optimization) - Apache Airflow / MWAA (DAG design, retries, backfills, SLAs) - Amazon S3 data lake design (partitioning, layout, lifecycle) - Data quality frameworks (Great Expectations or equivalent) - Data modeling (dimensional / Kimball, medallion layers) - Git/GitHub, CI/CD for data pipelines - Terraform - Python for automation and data processing Requirements - Desirable qualifications: - CDC patterns (DMS, incremental processing, MERGE upserts) - Streaming ingestion (Structured Streaming, Auto Loader) - AWS Glue Catalog / Unity Catalog - Metadata management (OpenMetadata) - BI integration (Superset, dashboarding) Company Description Founded by experienced entrepreneurs and engineers in 2016, Pismo is a technology company that provides a comprehensive processing platform for banking, card issuing, and financial market infrastructure and helps customers innovate and build the next generation of banking and payment solutions. Pismo joined Visa in 2024. Leveraging Visa’s solutions, our core platform, and an expanding suite of capabilities, Pismo addresses the technological challenges that large banks, marketplaces, and fintech companies face in migrating from legacy systems to more advanced technology in the market. Pismo’s cloud-based platform empowers firms to build and launch financial products rapidly, scaling as they grow to have a broader audience while keeping high security and availability standards. Pismo’s 500+ employees are located in more than 10 countries around the world.

Onebridge, a Marlabs Company, is a global AI and Data Analytics Consulting Firm that empowers organizations worldwide to drive better outcomes through data and technology. Since 2005, we have partnered with some of the largest healthcare, life sciences, financial services, and government entities across the globe. We have an exciting opportunity for a highly skilled Sr. Data Modeler to join our innovative and dynamic team. Sr. Data Modeler | About You As a Sr. Data Modeler, you are responsible for designing and governing high‑quality, scalable data models that bridge business needs with technical implementation. You bring deep experience translating complex, enterprise‑level requirements into conceptual, logical, and physical data models that support analytics, reporting, and operational workloads. You thrive at the intersection of data architecture, governance, and system optimization, ensuring data is secure, reliable, and fit for purpose. You collaborate closely with business, analytics, and engineering teams to align data strategy with organizational goals. You are detail‑oriented, strategic‑minded, and committed to building data foundations that support long‑term growth and compliance. Sr. Data Modeler | Day-to-Day - Design and maintain conceptual, logical, and physical data models that support enterprise data and analytics initiatives. - Analyze and optimize existing data models, databases, and pipelines to improve performance, scalability, and data usability. - Partner with business and technical stakeholders to translate requirements into standardized data structures and definitions. - Support data strategy and governance initiatives, including data quality standards, metadata management, and documentation. - Design and guide data migration and integration efforts, moving data from legacy systems to modern platforms. - Assist with implementing security, privacy, and compliance requirements, including access controls and regulatory standards such as GDPR or HIPAA. Sr. Data Modeler | Skills & Experience - 7+ years of experience in data modeling, data architecture, or enterprise data management roles. - Strong proficiency in SQL and hands‑on experience with data modeling tools such as ERwin, Visio, or similar platforms. - Experience working with cloud data platforms (AWS, Azure, or Google Cloud) alongside traditional RDBMS technologies (Oracle, SQL Server). - Strong understanding of data warehouse design, dimensional modeling, and ETL/ELT processes. - Experience supporting data governance, metadata management, and data quality initiatives in enterprise environments. - Familiarity with Big Data technologies and modern data processing architectures is preferred.

Company Description Zayo provides mission-critical bandwidth to the world’s most impactful companies, fueling the innovations that are transforming our society. Zayo’s 141,000-mile network in North America and Europe includes extensive metro connectivity to thousands of buildings and data centers. Zayo’s communications infrastructure solutions include dark fiber, private data networks, wavelengths, Ethernet, and dedicated Internet access. Zayo serves wireless and wireline carriers, media, tech, content, finance, healthcare and other large enterprises. We’re looking for an Analytics Engineer to join our Network Data Solutions team. In this role, you will combine deep telecom data expertise with technical acumen and problem-solving skills to design and deliver high-quality data products that enable our network and engineering teams to make informed, data-driven decisions. You’ll work closely with network operations, engineering, and technology partners to understand their needs, document requirements, and translate them into scalable data solutions. You’ll also analyze existing processes and data pipelines to identify improvement opportunities — proposing smarter, faster, and more reliable ways to deliver insights that drive network performance, reliability, and operational efficiency. You will leverage your expertise in data design, data engineering (ETL/ELT), and business intelligence to develop solutions from beginning to end. NOTE: The team is open to this position working remotely within the United States. Key Responsibilities - Partner with network and technology stakeholders to understand business objectives, challenges, and data requirements across areas such as network performance, reliability, capacity, and customer experience. - Develop and maintain deep knowledge of telecom data domains and source systems, including network inventory, provisioning, assurance, fault, and performance data. - Lead the creation of BTS (BRD Technical Specification) documentation, translating business logic into clear technical solutions. - Design, build, and maintain robust data products that support operational and strategic reporting — from ingestion through transformation, modeling, and visualization. - Evaluate existing data processes and models to identify opportunities for standardization, optimization, and automation. - Propose and implement innovative solutions that improve data accessibility, quality, and usability for network teams. - Develop scalable data models using dbt and Snowflake aligned to modern data architecture principles. - Build and orchestrate ETL/ELT pipelines in Azure Data Factory and Microsoft Fabric, ensuring efficiency and reliability. - Write and optimize SQL and Python code for advanced data manipulation, automation, and validation. - Facilitate UAT (User Acceptance Testing) with business partners to ensure data solutions align with real-world operational needs. - Design and deliver dashboards and reports using Power BI, Sigma, and Tableau that translate complex network data into actionable insights. - Collaborate with data engineers, analysts, and architects to maintain alignment across the broader data ecosystem. - Serve as a subject matter expert (SME) for network-related data and analytics, mentoring others on telecom-specific concepts, sources, and logic. Qualifications - Bachelor’s or Master’s degree in Computer Science, Data Science, Information Systems, Telecommunications, or a related field (or equivalent experience). - Minimum of five (5) years of experience in analytics engineering, data engineering, or BI roles — preferably supporting telecom or network operations. - Strong proficiency in SQL, Snowflake, dbt, and Python for data transformation and automation. - Hands-on experience with Azure Data Factory and Microsoft Fabric for pipeline orchestration and data lakehouse management. - Advanced experience building and optimizing Power BI, Sigma and/or Tableau dashboards. - Deep understanding of telecom data domains, including (examples you can customize): - Network inventory and topology systems (e.g., NMS, OSS, GIS) - Fault, performance, and capacity management data - Provisioning, activation, and service assurance systems - Proven ability to analyze complex business problems, identify gaps in existing processes, and propose scalable data solutions. - Strong communication and documentation skills, with the ability to bridge business and technical perspectives. Preferred Skills: - Familiarity with CI/CD tools (e.g., GitHub, Azure DevOps). - Experience implementing data quality frameworks and metadata management practices. - Background in network engineering analytics, service performance monitoring, or customer experience analytics. - Knowledge of telecom industry KPIs and metrics (e.g., uptime, MTTR, capacity utilization, throughput, etc.). Estimated base salary range: $77,100 - $118,600 USD/annually The base pay range shown is a guideline and reasonable estimate for this role. It takes into account the wide variety of factors that are considered in making compensation decisions. Actual compensation offered may vary from the posted range based upon geographic location, work experience, skill level, certifications, and other business and organizational needs. Non- sales roles may be eligible to participate in a discretionary annual incentive plan. Sales roles may be eligible to participate in a sales incentive plan. Additionally, this position may be eligible for certain benefits, such as health insurance, life insurance, disability retirement plans, paid time off. The posting will be active for a minimum of 3 days. The active posting will continue to extend by 3 days until the position is filled. Benefits, Rewards & Wellness - Excellent Health, Dental & Vision Insurance - Retirement 401(k) Savings Plan - Generous paid time off policy including paid parental leave Zayo provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, provincial or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

Faculty/Academic Area: Faculty of Science Department: Physics and Computer Science Campus: Other Employee Group: WLUFA Requisition ID: 10773 Position Title: CP164VA3 – Data Structures I Term: Summer Session 2026 (July 1-August 31) Days/Times: Online Hours per week/Hours Total: Online Type of Course: Online Anticipated Class Size: 50 Additional Course Requirements: n/a Posted on: April 8, 2026 Posting ends: April 16, 2026 Position Summary: Introduction to the study of data structures and their applications. Recursion, searching, sorting. Queues, stacks, heaps. Introduction to the analysis of algorithms, big "O" notation. Please note: - Instructors must work within departmental guidelines on Connect - Final exams will be in-person for all first and second-year courses (Lecture and Online) Qualifications – Required: Applicants must possess a master’s degree in computer science or a closely related field from an accredited institution. Candidates are expected to demonstrate current engagement in scholarly or applied research, evidenced by recent publications in relevant areas of the discipline. Qualifications – Areas of Specialization: The position is open to candidates across relevant subfields within the discipline, provided they meet the required academic and professional qualifications. Qualifications – Discipline: The successful candidate must have an academic background in Computer Science or a related field (e.g., Information Technology, Software Engineering, Cybersecurity, Data Science), with clear relevance to the courses being taught. Qualifications – Professional Designation: A recently completed PhD in Computer Science or a related field is preferred. Candidates who are near completion of their doctoral studies may also be considered, particularly if they demonstrate strong research productivity and teaching potential. Qualifications – Other: Preference will be given to applicants who demonstrate: - Subject-matter expertise aligned with the instructional needs of the program - Teaching experience at the post-secondary level or evidence of strong teaching capability - Industry experience, which is considered an asset and may enhance applied learning and curriculum relevance - Strong communication skills and the ability to engage diverse learners Salary: $5,621.53 Application Deadline: April 16, 2026 Submit with Application: Required for All Applicants - CV (required) (Maximum 10 pages. Pages exceeding this limit will not be considered in the committee’s evaluation of the application) - 1-2 samples of recent publications related to the field (less than 2 years preferred.) - Candidate Application Form (CAF) Required for External Applicants - Names and Contact Information for Referees - Evidence of Good Teaching - Most recent course evaluation samples - Verification of highest degree Optional - Cover Letter - Teaching Dossier (Maximum 25 pages in total. Pages exceeding this limit will not be considered in the committee’s evaluation of the application) - Sample Course Outline (2-pages maximum) Applications may be addressed to: To Apply: PTAC Hiring Committee Department of Physics & Computer Science Faculty of Science Wilfrid Laurier University Waterloo, Ontario Please click the gold “Apply Now” button located on the top right hand side of the page. You will be asked to sign in if you have already created an account. If you are not a registered user you may create an account to apply to career opportunities. Once an account is created you will be able to sign in to apply for the position. This appointment is in accordance with the Contract Teaching Faculty and Part-time Librarians Collective Agreement, for which the Wilfrid Laurier Faculty Association (WLUFA) is the exclusive bargaining agent. All applicants are assessed using both the “Appendix H: Assessment of CTF Candidates under 13.6.1” in the collective agreement and the program specific rubric, where applicable. Candidates should review these documents and ensure the information required is easily accessible in the application. Please Note: Candidate Application form (CAF) is used to apply to an individual posting and must be submitted with each application. The completed form is to be uploaded with all other application materials by the deadline listed in the course posting. Refer to Appendix I of the Contract Teaching Faculty Collective Agreement for further guidance about completing the CAF and Appendix H for details on how this form will be scored. CTF Members (those who have taught a Laurier in the last 36 months) may wish to submit a single application to multiple course postings via the Posted Course Application Form (PCAF) Appendix G, which includes the CAF. The link to the Faculty specific PCAF is included in the email notification of posted courses you would have received from the hiring department/program/area at Laurier. The PCAF is a separate form due within 5 days of the email notification of posted courses and is submitted via Qualtrics. Refer to this notification for the link to the PCAF. Members who do not submit a PCAF may apply for posted course through a separate application for each course. Refer to the collective agreement for additional information on the PCAF. For Supplementary Remuneration for large classes or multi-section courses, see Article 28.3 Pursuant to Article 13.5 of the Collective Agreement for Contract Teaching Faculty (CTF) and Part-time Librarians, all applicants shall apply electronically. Applications must be received by 23:59 local time of the date on the posting. Wilfrid Laurier University endeavors to fill positions with qualified candidates who have a combination of education, experience, skills, and abilities to successfully perform the duties of the position while demonstrating Laurier's Employee Success Factors. Diversity and creating a culture of inclusion is a key pillar of Wilfrid Laurier University's Strategic Academic Plan and is one of Laurier's core values. Laurier is committed to increasing the diversity of faculty and staff and welcomes applications from candidates from equity deserving groups. Indigenous candidates who would like to learn more about equity and inclusive programing at Laurier are welcomed to contact the Office of Indigenous Initiatives at indigenous@wlu.ca. Candidates from other equity deserving groups who would like to learn more about equity and inclusive programing at Laurier are welcomed to contact Equity and Accessibility at equity@wlu.ca. We have strived to make our application process accessible, however if you require any assistance applying for a position or would like this job posting in an alternative format, please contact Human Resources at hr@wlu.ca. All qualified candidates are encouraged to apply; however, Canadians and permanent residents will be given priority. In accordance with the requirements of Citizenship and Immigration Canada, the successful applicants will be required to prove they are legally able to work in Canada. Members of the designated groups must self-identify to the appropriate Dean(s) to be considered for employment equity. All course offerings will be contingent on adequate student registration and subject to budgetary funding. Members of the Contract Teaching Faculty bargaining unit: Should you be interested in learning more about this opportunity, please visit www.wlu.ca/careers for additional information and the online application system. All applications must be submitted online. All applications shall be reviewed and considered under a set of criteria established by the part-time hiring committee. Only those applicants recommended for a position will be contacted.