• Design scalable conceptual, logical, and physical data models for ad delivery, audience segmentation, campaign reporting, inventory, and billing. • Map data relationships, dependencies, and flows across existing systems and ensure critical dependencies are preserved in the future-state architecture. • Conduct exploratory data analysis across raw and existing datasets to develop a comprehensive understanding of the current-state data landscape. • Profile existing data sources, inventory and characterize data assets, assess data quality, and identify gaps, inconsistencies, duplication, and integration risks. • Define data ingestion, transformation, and orchestration patterns across batch and real-time data streams. • Design data architectures that support high-volume events such as ad impressions, click activity, audience signals, inventory changes, and campaign transactions. • Architect cloud-native data solutions using AWS services and technologies such as relational databases, graph databases, retrieval-augmented generation, and vector databases. • Define integration patterns between legacy systems and a modern microservices-based platform. • Ensure data interfaces, schemas, contracts, relationships, and system dependencies are clearly defined and documented. • Establish data governance standards across lineage, cataloging, data quality, access controls, privacy, security, and lifecycle management. • Collaborate closely with cloud services, engineering, architecture, product, and business teams across multiple workstreams. • Maintain data architecture artifacts including entity relationship diagrams, data flow diagrams, schema definitions, data dictionaries, and architecture decision records.

• Leverage a dynamic skill set in our rapidly growing Snowflake Environment • Design new software and Data Engineering applications in the Snowflake Environment • Develop advanced Snowflake SQL and ETL code • Implement Snowflake standards and best practices • Work closely with internal stakeholders and business partners • Conduct regular presentations on Data Governance and Snowflake best practices • Author and review Data Governance and Snowflake standards and best practices • Assist Trust and Standards Management in development of standards, guidelines, and best practices • Displays knowledge of and ability to apply project management skills

Role Description We are seeking Freelance Data Engineer to support the implementation, orchestration, and optimization of customer data and analytics solutions. This role sits at the intersection of Data Engineering and Analytics Implementation, requiring a strong understanding of data collection, customer data platforms, analytics tools, and data movement across systems. The ideal candidate will have hands-on experience with Adobe Experience Cloud products, strong technical skills, and the ability to work independently while collaborating with cross-functional teams to deliver reliable data solutions and actionable insights. - Implement, configure, and support Adobe Experience Cloud solutions, including Customer Journey Analytics (CJA), Adobe Launch, Adobe Journey Optimizer, and Adobe Analytics. - Design, maintain, and troubleshoot data collection frameworks and tracking implementations. - Support data orchestration, transformation, and movement across multiple systems and platforms. - Work with Customer Data Platforms (CDPs) to ensure accurate data ingestion, activation, and reporting. - Develop and maintain data pipelines and data structures that support analytics and customer experience initiatives. - Collaborate with engineering, analytics, and business teams to define tracking requirements and data strategies. - Validate data quality, troubleshoot implementation issues, and ensure reporting accuracy. - Document implementation processes, data flows, and technical requirements. - Manage multiple priorities while working independently in a fast-paced environment. Qualifications - Hands-on experience with Adobe Experience Cloud tools, specifically: - Adobe Customer Journey Analytics (CJA) - Adobe Launch - Adobe Journey Optimizer - Adobe Analytics - Strong JavaScript skills. - Experience working with databases and data management solutions. - Experience with Customer Data Platforms (CDPs). - Strong understanding of data engineering concepts, including data structures, data modeling, and data pipelines. - Experience with data orchestration and data movement across platforms. - Experience implementing website data collection and tagging solutions. - Hybrid background spanning both engineering and analytics implementations. - Strong organizational, project management, and problem-solving skills. - Ability to work independently with minimal supervision. - Excellent communication skills and professional fluency in English. Requirements - This is a freelance contract opportunity with the possibility of extension based on project needs and performance. - Contract Start Date: August 3, 2026 - Contract End Date: October 9, 2026 - Total Hours: 172 - Engagement Type: Independent Contractor - Equipment: Candidates must use their own computer and equipment. Benefits - The salary range for this position is $50 — $60 CAD. - Exactly where a prospective employee will be paid within this range will depend on various factors including experience, qualifications, and local market conditions.

Role Description Lead data science and analytics initiatives to drive strategic decision-making and operational efficiency. Oversee the development and implementation of data models, ensuring data integrity and accuracy. Provide actionable insights through comprehensive data analysis and reporting, supporting various healthcare domains. - Lead strategic analysis and planning across business units to meet data analysis needs. - Mentor, coach, and provide guidance to team members. - Set departmental priorities in alignment with the operating plan, budget, and regulatory requirements. - Conduct deep dive analyses across health plans, providing actionable insights and collaborating with cross-functional teams to optimize revenue outcomes. - Monitor Medicaid/Medicare/Marketplace growth opportunities and new policy rules, developing analytical frameworks to support business cases and presenting findings to stakeholders. - Partner with health plans to design and evaluate Payment Integrity campaigns, developing insights and recommendations to optimize future campaigns. - Present complex analytical information clearly and concisely to all levels of the organization. - Collaborate with the analytics team, managing the delivery of analytical projects. - Identify data solutions and technology opportunities, referring to appropriate team members for implementation. - Apply statistical and computational methodologies to provide actionable insights and optimize quality, consumer experience, and healthcare costs. - Develop scalable, efficient, and automated processes for large-scale data analyses and model development. - Utilize algorithms and models to mine big data, improve models, and ensure data uniformity and accuracy. - Develop novel approaches for data exploration, analysis, and feature selection from large-scale multidimensional data. - Execute data science and statistical experiments methodically to solve problems and impact healthcare domains. - Analyze data for trends and patterns, interpreting data with clear objectives. - Use a broad range of tools and techniques to extract insights from industry trends. - Implement tools and languages such as Hadoop, Power BI, R, Python, SQL, Impala SQL, Toad Automation scripts, and Apache Superset. Qualifications - Bachelor’s Degree in Data Science, Economics, Finance, Computer Science, Information Systems/Technology, or a related field. Requirements - 7 years of experience leading healthcare analytics functions. - 10 years of work experience, preferably in a healthcare environment. - Strong knowledge of Hadoop, Power BI, R, Python, SQL, Impala SQL, Toad Automation scripts, and Apache Superset. - Familiarity with relational database concepts and SDLC concepts. - Demonstrated critical thinking and ability to bring order to unstructured problems. Physical Demands Work is generally performed in an office environment with minimal exposure to unpleasant or hazardous conditions. Must have the ability to sit for long periods. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. Benefits Molina Healthcare offers a competitive benefits and compensation package. Molina Healthcare is an Equal Opportunity Employer (EOE) M/F/D/V.