Role Description WSDOT is currently seeking a skilled Transportation Technical Engineer (TTE) to serve as the Data Management and Analysis Engineer in Olympia, WA. The Capital Program Development and Management (CPDM) Division oversees WSDOT’s capital construction program, including highways, ferries, rail, traffic operations, and facilities. We are seeking a Data Management and Analysis Engineer in the Standards, Reporting, and Communications (SRC) Unit to lead statewide data initiatives that improve quality, accessibility, transparency, and compliance. In this role, you will manage complex data projects, collaborate with program leaders, IT teams, internal offices, and external partners, and provide actionable insights to support evidence-based decision-making for program and project delivery. Your work will include: - Developing cost estimates - Conducting risk assessments - Analyzing financial, operational, and schedule impacts across major programs and capital projects - Using analytical tools, statistical techniques, and data visualization to identify trends - Monitoring performance drivers - Communicating findings clearly to stakeholders This role ensures all data management and analysis aligns with state policies, statutory requirements, and WSDOT standards. Qualifications - Advanced Analytical Proficiency: Demonstrated ability to independently extract, analyze, and model complex datasets using SQL and at least one programming or data-analysis language (e.g., Python, R). - Data Strategy & Product Development: Ability to design and implement data-driven solutions, define KPIs/metrics, and develop dashboards or reporting frameworks. - Data Management & Integrity: Ability to gather, clean, validate, and maintain large, multi-source datasets. - Data Visualization & Business Intelligence: Proficiency creating clear, impactful visualizations and dashboards using tools such as Tableau, Power BI, or equivalents. - Communication & Translation of Insights: Ability to translate complex analytical findings into concise presentations. - Problem-Solving & Attention to Detail: Ability to identify root causes of data discrepancies and resolve analytic challenges. - Organizational & Project Management Skills: Ability to plan, coordinate, and manage complex analytical projects. - Integration of Data Insights into Decision-Making: Ability to use analytical outcomes to inform operational and strategic decisions. - Collaboration & Stakeholder Engagement: Ability to work effectively across internal divisions and external partners. - Analytical Decision-Making: Ability to apply quantitative and qualitative methods to support transportation program planning. - Economic and Cost Analysis Proficiency: Ability to perform economic analyses, including benefit-cost analyses and cost estimating. - Data Modeling & Database Architecture: Working knowledge of relational database structures. - Growth Mindset: Commitment to learning and growth. - Service-Oriented: Takes action to meet the needs of others. Requirements - Program Management System Proficiency: Ability to extract, interpret, and apply complex data from WSDOT program management tools. - Leadership & Mentoring: Ability to provide guidance and technical leadership to analysts. - Regulatory Knowledge & Application: Working knowledge of transportation-related regulations. - Application of CPDM Standards: Ability to apply Capital Program Development and Management (CPDM) standards. Benefits - Work-Life Balance: Flexible work schedules. - Paid Leave: Up to 25 paid vacation days per year. - Tuition Assistance: Options for assistance with education expenses. - Comprehensive benefits package: Includes various healthcare options and state retirement programs. How to Apply Applications for this recruitment will be accepted electronically. Your relevant experience may be evaluated to determine salary. Therefore, it is very important that the “Work Experience” portion of the application be completed in as much detail as possible. To be considered for this opportunity, please include the following with your online application: - An attached Resume outlining your experience in reverse chronological order. - An attached Cover Letter explaining your qualifications and why you believe you are a viable candidate. - Contact details for a minimum of three individuals who can attest to your work performance. Please click the "APPLY" button to proceed. Note that you will be prompted to either sign in or create an account. Contact Us For inquiries about this posting, you may contact the assigned Recruiter, Amanda Strebeck, at amanda.strebeck@wsdot.wa.gov . Please reference Data Management and Analysis Engineer #03359 in the subject line.

• Design and implement robust, scalable data architecture to support the collection, storage, and processing of large volumes of igaming and customer data • Build and maintain efficient ETL and ELT processes to ensure seamless data ingestion from multiple sources into our data lake, DWH, and final consumers • Create and maintain well-structured data models that ensure accuracy, integrity, and optimal performance for analytical use cases following Kimball best practices • Collaborate with cross-functional teams to integrate data across systems, with several types of integration as API, Kafka, DB extractions, Webscrapping, Email, etc. • Develop and manage real-time data pipelines using streaming technologies (e.g., Kafka) to support time-sensitive use cases • Enforce data governance policies and best practices, ensuring high standards for data quality, security, and regulatory compliance • Continuously monitor, troubleshoot, and optimize data pipelines, queries, and infrastructure for speed, efficiency, and reliability • Support and expand production-grade orchestration workflows using Apache Airflow • Set up and maintain monitoring, alerting, and observability for data pipelines and systems using tools like Elementary, Datadog, Prometheus, or Grafana • Develop and maintain CI/CD pipelines for data projects using Bitbucket Pipelines or GitHub Actions, ensuring streamlined deployment and testing processes • Follow best practices in Git-based version control and work collaboratively in a modern DevOps environment.

Are you interested in making a world of difference in cancer care? Cancer strikes more than 10 million people worldwide each year. As the leading medical society representing doctors who care for people with cancer, the American Society of Clinical Oncology (ASCO) is committed to conquering cancer through research, education, and promotion of the highest quality care. Who we are: ASCO is a flexible, high-performance membership organization where employees collaborate to support our mission through evidence, care, and impact. Together with Conquer Cancer, the ASCO Foundation, we foster a culture that prioritizes customer-centricity, emphasizes teamwork, and commits to quality. Our culture, ASCO Works – Our Way of Working, has long enabled workplace flexibility and embraced technology to help us achieve balance. ASCO offers competitive salaries, an excellent benefits package, and opportunities to participate in professional development programs. To learn what it’s like to work at ASCO, click here. Who we are looking for: ASCO’s Information Technology Department is hiring a Data Product Engineer, Level 1. The successful hire will have an integral role in the seamless transfer of high-quality data from source systems to applications and decision-makers, empowering process improvement, informing decision-making, and supporting alignment with our organizational mission. If you’re looking for an exciting opportunity to have a key role in designing and overseeing the technical elements that provide data-driven value to end-users, apply today! Remote candidates welcome or at primary location in Alexandria, VA. Responsibilities - Collaborate with cross-functional teams to build, maintain, publish, and monitor Data Products across AWS, GCP, and Azure environments to serve the needs of both Operational and Analytical customers, ensuring high-quality standards and seamless multi-cloud integration. - Utilize a diverse set of technical skills to translate raw data from its original context into formats that are suitable and accessible to product customers. This process should involve data cleansing, transformation, and integration to ensure data accuracy and relevance. - Act as the subject matter expert for the data you manage, gaining in-depth knowledge of both the technical intricacies and the business implications. Facilitate informed decision-making within the organization by providing valuable insights and expertise. - Maintain comprehensive documentation of data processes, methodologies, and best practices. Proactively share your knowledge and insights with colleagues and stakeholders to promote data understanding and utilization across the organization. - Ensure the responsible management of data in alignment with ASCO's security requirements and standards. Implement and enforce data security protocols and practices to safeguard sensitive information, maintaining the highest levels of data integrity. - Apply Software Engineering principles, including but not limited to Version Control, Continuous Integration/Continuous Deployment (CI/CD), Test-Driven Development (TDD), and Data-Oriented Development (DOD), to seamlessly integrate Data Products into ASCO's broader Digital Ecosystem. This integration should optimize data utilization and decision-making processes. Required Education and Experience - Bachelor’s degree in related field or equivalent years of training/experience. - 2+ years of practical experience in building, delivering, and supporting work within technology systems with examples of manipulating and serving data to different types of customers. Preferred Education and Experience - Appropriate certifications or other evidence which demonstrates professional capability in the core competencies. Competencies - Proficiency in data manipulation, transformation, and integration techniques. - Strong technical expertise in data engineering, data modeling, and database management. - Knowledge of data security practices and the ability to implement them effectively. - Familiarity with Software Engineering principles and tools for managing data pipelines and products. - Familiarity with writing modular Python scripts using various libraries (i.e. Pandas) to extract data from APIs or flat files, apply basic cleaning and schema casting, and load the results into relational or no-SQL databases. - Experience working with version control tools - Familiarity working with AWS and GCP - Excellent communication and collaboration skills to work effectively with diverse teams and stakeholders. - Ability to translate complex technical concepts into understandable terms for non-technical audiences. - Strong problem-solving skills and meticulous attention to detail. - Ability to manage multiple tasks and priorities within a dynamic work environment. - Dedication to ASCO's mission and values, with a commitment to enhancing the availability and utility of high-quality data for organizational improvement. ADA/Physical Requirements Must lift up to 30 lbs. Extended periods seated or standing at a desk. High use of computer and other office technology equipment. Travel 4-6 days per year Generous Benefits Package: - Hybrid Work Environment - Open Leave Policy - Paid Family Leave - 13 Paid Holidays per Calendar Year - Staff Appreciation Days - 401(k): 7.5% Employer Contribution - Medical/Dental/Vision - Employee Assistance Program - Fertility and Family Forming - Healthcare Concierge - Flexible Spending Account(s) - Healthcare Savings Account - Disability and Life Insurance Applications are accepted and reviewed on a rolling basis. The job posting will remain active throughout the candidate application evaluation process. The American Society of Clinical Oncology (ASCO) is an Equal Employment Opportunity (EEO) employer. It is the policy of the Company to provide equal employment opportunities to all qualified applicants without regard to race, color, national origin, sex, and religion.

Bright Vision Technologies is a forward-thinking software development company dedicated to building innovative solutions that help businesses automate and optimize their operations. We leverage cutting-edge technologies to create scalable, secure, and user-friendly mobile applications. As we continue to grow, we’re looking for a skilled Kafka Engineer to join our dynamic team and contribute to our mission of transforming business processes through technology. This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential. We are looking for OPT/CPT/H4 EAD/TN/E3 or any other Non-immigrant visa people who are looking for an H1B sponsorship for the year 2027 quota. Company: Bright Vision Technologies ( www.bvteck.com ) Job Title: Kafka Engineer Job Location: Bridgewater, New Jersey – 08807 Onsite/Hybrid: Remote FULL-TIME ROLE WITH BRIGHT VISION Job Description: Environment: Apache Kafka, Kafka Streams, Kafka Connect, Schema Registry, Event-Driven Architecture, Real-Time Data Processing, Apache Avro, REST APIs, Microservices Integration, Cloud Platforms (AWS / Azure / GCP), Security & Authentication, Monitoring & Alerting, Linux, BUT STRICTLY NO C2C/1099/3RD PARTY COMPANIES. ALL OUR ROLES ARE W2 AND NO 3RD PARTY BROKERING PLEASE. For every role, a coding test is required, so apply only if you are confident and technically strong. We prefer at least 3 to 5 years real time experience. If you are a Kafka Engineer with the above skills and are looking for an H-1B sponsorship this year, please send your resume immediately to boon@bvteck.com We are committed to providing equal employment opportunities and fostering an inclusive work environment. We encourage applications from all qualified individuals regardless of race, ethnicity, religion, gender identity, sexual orientation, age, disability, or any other protected status. If you require accommodations during the recruitment process, please let us know. Position offered by “No Fee agency.” Equal Employment Opportunity (EEO) Statement Bright Vision Technologies (BV Teck) is committed to equal employment opportunity (EEO) for all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other protected status as defined by applicable federal, state, or local laws. This commitment extends to all aspects of employment, including recruitment, hiring, training, compensation, promotion, transfer, leaves of absence, termination, layoffs, and recall. BV Teck expressly prohibits any form of workplace harassment or discrimination. Any improper interference with employees' ability to perform their job duties may result in disciplinary action up to and including termination of employment.