This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description Qualified Health is seeking a Data Integration Engineer to serve as the technical implementation specialist for our healthcare data integration initiatives. In this hands-on role, you'll design and build robust data pipelines that transform raw healthcare data from diverse sources (Epic, LIMS, PACS, SharePoint, etc.) into production-ready datasets powering our AI platform. Your roles are complementary: - You own: Technical implementation, ETL development, data quality validation, pipeline construction, troubleshooting, and production deployment execution. - Manager owns: Partner relationships, requirements gathering, timeline management, stakeholder communication, issue escalation, and ensuring delivery meets expectations. - Together you deliver: Successful data integrations that meet partner needs on time with high quality. This is a technical role for someone who loves working with data, enjoys solving puzzles, and takes pride in building reliable, production-grade solutions. Qualifications - 5+ years of experience in data analytics, data engineering, or solution delivery roles, with demonstrated expertise in data integration and ETL processes. - Strong analytical toolkit with proficiency in: - PySpark for distributed data processing - Advanced SQL for data querying and transformation - Excel for data analysis and reporting - Production ETL experience: Track record of building and maintaining production-grade data pipelines with proper error handling and monitoring. - Data quality focus: Experience implementing validation frameworks and troubleshooting data quality issues. - Healthcare data experience: Prior work with healthcare datasets (EHR, claims, clinical, lab data). - Problem-solving mindset: Ability to independently diagnose and resolve complex technical issues. - Attention to detail: Commitment to accuracy, testing, and delivering reliable solutions. - Collaborative working style: Comfortable partnering with non-technical colleagues and adapting to feedback. - Bachelor's degree in Computer Science, Engineering, Data Science, Mathematics, or related technical field. - Ability to work onsite in Houston, TX 2-3 days/week. Requirements - Epic Clarity experience: Direct work with Epic's relational database structure and clinical data models. - Healthcare data standards knowledge: Understanding of FHIR, HL7v2, DICOM, LOINC, SNOMED, ICD-10. - Azure cloud platform: Hands-on experience with Azure Databricks, Data Factory, Blob Storage, Delta Lake. - Healthcare compliance awareness: Understanding of HIPAA requirements and healthcare data security best practices. - Data warehouse/lakehouse experience: Familiarity with dimensional modeling and modern data architecture patterns. - DevOps practices: Experience with Git, CI/CD pipelines, and infrastructure-as-code. - Performance tuning: Proven ability to optimize complex data transformations for scale. - LIMS/PACS experience: Prior work integrating laboratory or imaging systems data. - Multiple data format fluency: Experience with JSON, XML, Parquet, CSV, and other healthcare interchange formats. Benefits - Competitive salaries with equity packages. - Robust medical/dental/vision insurance. - Flexible working hours. - Hybrid work options. - An inclusive environment that fosters creativity and innovation. Company Description Qualified Health is an equal opportunity employer. We believe that a diverse and inclusive workplace is essential to our success, and we are committed to building a team that reflects the world we live in. We encourage applications from all qualified individuals, regardless of race, color, religion, gender, sexual orientation, gender identity or expression, age, national origin, marital status, disability, or veteran status. The pay range for this role is between $130,000 and $180,000, and will depend on your skills, qualifications, experience, and location. This role is also eligible for equity and benefits. Join our mission to revolutionize healthcare with AI. To apply, please send your resume through the application below.

• Deliver data solutions for client projects to produce positive outcomes • Collaborate with other team members to engineer data outcomes for clients • Support a Microsoft Fabric-first approach and medallion architecture • Ingest, organize, transform, and analyze raw data with business goals in mind • Improve data quality and efficiency while maintaining datasets • Understand and leverage client standards, processes, and recommended approaches • Identify and suggest opportunities for data process improvements and efficiencies • Ensure data readiness for analytics, AI, or other outcomes • Support agile work processes and keep work management systems current (i.e., Azure DevOps) • Document client work appropriately • Complete development within service-level agreements and cycle time expectations • Manage various work projects to meet client high-quality standards • Perform QA on your work and that of teammates to ensure the best outcomes • Embody client core values

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description As a Staff Software Engineer on the Streaming Data Platform team in Fanatics Ecosystem, you will design, build, and operate the backend services that sit at the core of our streaming infrastructure — the systems that ingest, process, and deliver data to consumers across the company. This is a hands-on technical leadership role. You'll write code, design systems, mentor engineers, and shape how the team builds and operates software. The right person has built streaming infrastructure before and knows what it takes to keep it running well at scale. Responsibilities - Design and build backend services that power our streaming data infrastructure, including ingestion, processing, and delivery to downstream systems. - Drive large, multi-milestone projects from idea to production, ensuring they deliver outcomes that matter to the business. - Set technical direction for the team: architecture, code quality, patterns, and tooling. - Partner with leadership on roadmap and planning — you'll have a voice in what we build and why. - Collaborate with platform, data, and product teams to design service boundaries, APIs, and data contracts. - Own the test strategy for complex areas and push the team toward better testing habits and testable designs. - Build observability, reliability, and resilience into our systems and hold the team to that standard. - Coordinate across engineers and teams to deliver cross-cutting initiatives. - Help diagnose and resolve performance bottlenecks related to ingestion, throughput, and distributed system behavior. - Mentor engineers on craft, ownership, and collaboration. - Participate in on-call rotations, drive incident resolution, and make sure retros lead to lasting fixes. - Be open to occasional travel to Fanatics offices for meetings, events, or team gatherings. Technical Environment - Long-lived backend services (Go) - Event-driven and streaming data systems (Kafka, Kafka Connect) - Stream processing frameworks (e.g., Kafka Streams, Flink) - Schema management and data contracts - Observability and monitoring for streaming systems - Infrastructure as code (Terraform) Qualifications - 7+ years of experience building and operating backend services at scale, with a track record of leading large technical initiatives. - Strong experience with Go. - Hands-on experience with Kafka or comparable streaming platforms. - Familiarity with the broader streaming ecosystem — tools like Flink, Spark, or Iceberg. - Ability to design whole systems and services with clear boundaries, well-defined APIs, and operational readiness from the start. - Experience driving multi-milestone projects that span teams and require cross-functional coordination. - Track record of influencing technical roadmaps and connecting engineering work to business strategy. - History of mentoring engineers and raising the level of engineering practice around you. - Solid understanding of distributed systems, service-oriented architectures, and system integrations at scale. - Clear communicator who can talk about technical work with both engineers and non-engineers. - Comfortable in a fast-moving environment where priorities shift and decisions happen quickly. - Experience with schema management, data contracts, or data governance patterns is a plus. - Experience building shared libraries, frameworks, or developer-facing tooling for streaming consumers is a plus. - Experience contributing to open-source data infrastructure or streaming projects is a plus. - Familiarity with infrastructure as code tools such as Terraform is a plus. Salary Range The salary range for this position is $180,500 to $237,500, which represents base pay only and does not include short-term or long-term incentive compensation. When determining base pay, as part of a final compensation package, we consider several factors such as location, experience, qualifications, and training. Remote employees may also be eligible for a home office setup stipend. Company Description Fanatics is building a leading global digital sports platform. We ignite the passions of global sports fans and maximize the presence and reach for our hundreds of sports partners globally by offering products and services across Fanatics Commerce, Fanatics Collectibles, and Fanatics Betting & Gaming, allowing sports fans to Buy, Collect, and Bet. - Through the Fanatics platform, sports fans can buy licensed fan gear, jerseys, lifestyle and streetwear products, headwear, and hardgoods. - Collect physical and digital trading cards, sports memorabilia, and other digital assets. - Bet as the company builds its Sportsbook and iGaming platform. - Fanatics has an established database of over 100 million global sports fans. - A global partner network with approximately 900 sports properties, including major national and international professional sports leagues, players associations, teams, colleges, college conferences, and retail partners. - Over 2,000 retail locations, including its Lids retail stores. - More than 22,000 employees are committed to relentlessly enhancing the fan experience and delighting sports fans globally.

Role Description We are seeking a skilled and motivated Data Governance Specialist to play a critical role in establishing and maintaining the integrity, quality, and security of data within our Digital Engineering Environment. This role will be instrumental in supporting our Digital Thread initiative, focusing specifically on the governance of digital thread configuration data and related data that flows through the lifecycle of our products. The ideal candidate will possess a strong understanding of data governance principles, experience digital engineering principles, and a passion for ensuring data is a trusted asset. You will work closely with Engineering, IT, and other stakeholders to define, implement, and enforce data governance policies and procedures. - Data Governance Framework Development: Assist in the development, implementation, and ongoing maintenance of a comprehensive data governance framework for Digital Engineering data, aligned with industry best practices (e.g., DAMA-DMBOK). - Digital Thread Data Focus: Specifically focus on data governance relating to the Digital Thread – ensuring traceability, consistency, and accuracy of data as it moves through design, analysis, manufacturing, and support. - Data Governance: Collaborate with cross-functional teams to establish and enforce data governance policies, procedures, and standards that ensure data quality, security, and compliance. - Metadata Management: Define and maintain metadata standards to ensure data is discoverable, understandable, and usable. Contribute to the development of a data dictionary/catalog. - Tool Implementation and Management: Work with our technical teams to implement and manage data quality tools, prior experience of one of the major tools is a plus (Attacama, Precisely, Anomalo, Collibra). - Data Quality Monitoring and Reporting: Develop and execute data quality monitoring processes to identify, assess, and mitigate data quality issues. Provide regular reporting to stakeholders on data quality metrics and trends. - Data Quality Assessments: Conduct regular data quality assessments to identify areas for improvement and provide recommendations for data quality enhancements. - Data Incident Management: Participate in data incident management processes to identify, contain, and resolve data quality issues. - Stakeholder Collaboration: Work closely with stakeholders across the organization to understand data quality requirements, provide training, and ensure data quality best practices are adopted. - Continuous Improvement: Stay up-to-date with industry trends, best practices, and emerging technologies to continuously improve our data quality framework and processes. Qualifications - Bachelor's degree in a related field (e.g., Computer Science, Information Technology, Business Administration) and 6 years of experience in data governance, data management, or a related field. - Strong understanding of data governance principles and practices. - Familiarity with Data Catalog Tools (e.g., Alation, Collibra) and Master Data Management (MDM) Methodology and tools (e.g., Semarchy, Information, Profisee). - Experience with data quality assessment frameworks and metrics. - Ability to work with cross-functional teams and stakeholders. - Familiarity with data security and privacy regulations. - Proficiency in data quality tools (e.g., Attacama, Collibra, Precisely, and Anomalo). Requirements - Master's degree in a related field (e.g., Computer Science, Information Technology, Business Administration). - Over 10 years of experience in data governance, data management, or a related field. - Advanced knowledge of data governance frameworks and standards (e.g., DAMA, ISO 27001). - Experience with data governance tools and technologies (e.g., data catalogs, data quality software). - Certification in data governance or a related field (e.g., Certified Data Governance Specialist, Certified Data Management Professional). - Experience with Data Modeling Concepts. - Experience with Digital Engineering Concepts (e.g., data management relative to digital threads and authoritative sources of truth). - Experience with project management and oversight of related projects. Benefits - This position will be posted for at least 5 calendar days. - The posting will remain active until the position is filled, or a qualified pool of candidates is identified. - Active Secret Security Clearance.