This position focuses on developing, implementing, and maintaining architecture solutions across a large enterprise data warehouse to support effective and efficient data management and enterprise-wide business intelligence analytics. Responsibilities: - Implement and optimize data pipeline architectures for sourcing, ingestion, transformation, and extraction processes, ensuring data integrity and compliance with organizational standards. - Develop and maintain scalable database schemas, data models, and data warehouse structures; perform data mapping, schema evolution, and integration between source systems, staging areas, and data marts. - Automate data extraction workflows and create comprehensive technical documentation for ETL/ELT procedures; collaborate with cross-functional teams to translate business requirements into technical specifications. - Establish and enforce data governance standards, including data quality metrics, validation rules, and best practices for data warehouse design and architecture. - Develop, test, and deploy ETL/ELT scripts using SQL, Python, Spark, or other relevant languages; optimize code for performance and scalability. - Tune data warehouse systems for query performance and batch processing efficiency; apply indexing, partitioning, and caching strategies. - Perform advanced data analysis, validation, and profiling using SQL and scripting languages; develop data models, dashboards, and reports in collaboration with stakeholders. - Conduct testing and validation of ETL workflows to ensure data loads meet SLAs and quality standards; document testing protocols and remediation steps. - Troubleshoot production issues, perform root cause analysis, and implement corrective actions; validate data accuracy and consistency across systems. Basic Qualifications: - Minimum of 3 years of experience in data analysis. Additional Qualifications: - Strong analytical and problem-solving skills with attention to detail. - Proficiency in SQL and ability to develop complex queries (e.g., multi-join), tune performance, and troubleshoot. - Experience with Unix/Linux shell scripting for ETL automation. - Familiarity with database tools and platforms (e.g., Teradata, Oracle, Non-Relational). - Excellent verbal and written communication skills; ability to collaborate across all levels. - Ability to prioritize and multi-task in a fast-paced environment. - Knowledge of Java/J2EE, REST APIs, Web Services, and event-driven microservices. - Experience with Kafka streaming, schema registry, OAuth authentication. - Familiarity with Spring Framework, GCP services, Git, CI/CD pipelines, containerization, and data ingestion/data modeling. Preferred Qualifications: - Experience with Databricks concepts and terminology (e.g., workspace, catalog). - Proficiency in Python and Spark. - Background in architecting real-time data ingestion solutions using microservices and Kafka. Working at ICF ICF is a global advisory and technology services provider, but we’re not your typical consultants. We combine unmatched expertise with cutting-edge technology to help clients solve their most complex challenges, navigate change, and shape the future. We can only solve the world's toughest challenges by building a workplace that allows everyone to thrive. We are an equal opportunity employer. Together, our employees are empowered to share their expertise and collaborate with others to achieve personal and professional goals. For more information, please read our EEO policy. We will consider for employment qualified applicants with arrest and conviction records. Reasonable Accommodations are available, including, but not limited to, for disabled veterans, individuals with disabilities, and individuals with sincerely held religious beliefs, in all phases of the application and employment process. To request an accommodation, please email Candidateaccommodation@icf.com and we will be happy to assist. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.  Read more about workplace discrimination rights or our benefit offerings which are included in the Transparency in (Benefits) Coverage Act. Candidate AI Usage Policy At ICF, we are committed to ensuring a fair interview process for all candidates based on their own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) tools to generate or assist with responses during interviews (whether in-person or virtual) is not permitted. This policy is in place to maintain the integrity and authenticity of the interview process.  However, we understand that some candidates may require accommodation that involves the use of AI. If such an accommodation is needed, candidates are instructed to contact us in advance at candidateaccommodation@icf.com. We are dedicated to providing the necessary support to ensure that all candidates have an equal opportunity to succeed.   Pay Range - There are multiple factors that are considered in determining final pay for a position, including, but not limited to, relevant work experience, skills, certifications and competencies that align to the specified role, geographic location, education and certifications as well as contract provisions regarding labor categories that are specific to the position. The pay range for this position based on full-time employment is: $74,090.00 - $125,954.00 Nationwide Remote Office (US99)

• Play a key role in building and operating data pipelines and analytics infrastructure • Work closely with software engineers, radar and catalog teams, and data scientists • Ensure reliable extraction, transformation, and loading (ETL) of mission-critical datasets • Develop scalable batch and streaming data workflows • Enable advanced analytics and support machine learning initiatives • Help transform large volumes of sensor and orbital data into actionable intelligence • Engage in hands-on development with opportunities to grow into increased ownership of data platform design and optimization

Role Description We are seeking a Lead Metadata Specialist to guide metadata strategy and implementation across McGraw Hill’s Higher Education business unit. This role leads projects that advance the design, management, and use of educational metadata—especially around competencies, objectives, and assessment and other types of content—to improve discoverability, personalization, and analytics across products and platforms. The Lead Metadata Specialist will collaborate with curriculum, product, and technical teams to ensure alignment across metadata workflows and business goals. This role also provides mentorship and leadership for metadata specialists and coordinates with the Enterprise Metadata team to support enterprise-level initiatives. This is a remote position open to applicants authorized to work for any employer within the United States. What You'll Do - Lead the design and execution of metadata projects that enhance the creation, delivery, and management of higher education content while enabling robust personalized learning services. - Partner with learning and data scientists to explore opportunities for metadata inference and enrichment to support adaptive learning and personalization. - Develop and maintain learning ontologies and controlled vocabularies for higher education academic disciplines, content, and learning services. - Collaborate with curriculum, product, and technical teams to define metadata strategies that align with business unit goals and emerging learning technology trends. - Provide technical leadership in implementing scalable metadata workflows and quality assurance processes using standard tools and platforms. - Lead and collaborate with Metadata Specialists, fostering consistency, capacity, and growth across metadata initiatives. - Collaborate cross-functionally to develop documentation, training materials, and communications that promote understanding and effective use of metadata across design and product teams. - Monitor external developments in metadata standards and best practices for higher education and integrate relevant frameworks to ensure alignment and innovation. Qualifications - 6+ years in education or educational technology, with at least 3 years direct experience managing educational metadata, learning objective frameworks, and/or competency structures in Higher Education. - Master’s degree in education, learning sciences, information science, or a related field (required or equivalent experience). - Advanced understanding of metadata standards and interoperability frameworks used in Higher Education. - Experience with e-book, assessment, and other educational content design for Higher Education. - Highly organized, self-motivated, able to manage multiple complex projects simultaneously. - Strong leadership and mentoring capabilities. - Growth mindset and openness to change, with a positive attitude and interest in improving over time. - Excellent communication skills, able to bridge technical and non-technical audiences. Preferred - Experience working with AI tools and awareness of their potential for educational content and interactions. - Experience designing and implementing educational recommendation systems. - Proficiency with collaboration and project tools such as JIRA, Confluence, Teams, and Slack. Benefits - The pay range for this position is between $125,000 - $155,000 annually. - Base pay offered may vary depending on job-related knowledge, skills, experience, and location. - An annual bonus plan may be provided as part of the compensation package. - A full range of medical and/or other benefits, depending on the position offered.

Role Description Join Marion Counseling Services as a vital member of our team. This position offers an exciting opportunity to support our operations by accurately inputting and managing data essential for our counselling services. - Enter and maintain data in various systems with a high degree of accuracy. - Assist in the preparation of reports and documentation as required. - Ensure confidentiality and security of sensitive information. - Collaborate with team members to improve data management processes. - Respond to inquiries regarding data entries and assist in troubleshooting issues. Qualifications - Proven experience in data entry or a related field. - Strong attention to detail and accuracy. - Proficiency in using data entry software and Microsoft Office Suite. - Excellent organisational skills and ability to manage multiple tasks. - Effective communication skills, both written and verbal. Requirements - Experience in the healthcare or counselling sector. - Familiarity with data management systems. - Ability to work independently and as part of a team.