Role Description The HIM Data Integrity Technician is responsible for reviewing, analyzing, and maintaining data integrity in the Master Patient Index and electronic health record (EHR). This includes: - Correction of duplicate medical record numbers - Contact moves - Issuing MyChart proxy access requests - Overlaying review - Charting correction case review - Interface Error work queues in the EMR - Care Everywhere work queues Qualifications - Education: High School/GED - Experience: 6 months' experience in Health Information Management (HIM), medical records, or electronic health records - Other skills/knowledge: - Excellent interpersonal and communication skills - Solid computer skills, including proficiency with Microsoft software - Strong analytical and problem-solving skills, with the ability to be detail-oriented - Preferred Qualifications: - Prior experience in Epic handling chart corrections or identity tasks - Prior HIPAA knowledge - Licensure/Certifications: Registered Health Information Administrator (RHIA) or Registered Health Information Technician (RHIT) preferred Requirements - Expected pay for this position is $18.80 - $22.12/hour - Actual pay will be determined by experience, skills, and internal equity - This is an Hourly position Benefits - Comprehensive and market-competitive total rewards package - Benefits, compensation, recognition, and well-being offerings - Focus on the whole person and engagement with their current stage of life and career Company Description OSF HealthCare is dedicated to providing Mission Partners with a comprehensive and market-competitive total rewards package.

Role Description We’re looking for a Senior MLOps Engineer to lead the design, deployment, and scaling of machine learning systems in production. You’ll work at the intersection of data science, software engineering, and infrastructure to ensure reliable, efficient, and scalable ML pipelines. This role is ideal for someone who thrives in building robust systems and enabling teams to move faster with high-quality ML workflows. - Design, build, and maintain scalable ML pipelines for training, testing, and deployment - Deploy & maintain machine learning models and ensure their performance, reliability, and monitoring - Collaborate with data scientists and engineers to streamline experimentation and deployment workflows - Implement CI/CD practices for ML systems (ML CI/CD) - Manage and optimize cloud-based infrastructure for ML workloads - Develop monitoring, logging, and alerting systems for model performance and data drift - Ensure reproducibility, versioning, and governance of ML models and datasets - Advocate for best practices in MLOps, DevOps, and software engineering Qualifications - 5+ years of experience in software engineering, DevOps, or MLOps roles - Strong programming skills in Python (and familiarity with Java/Go is a plus) - Experience with ML frameworks such as TensorFlow, PyTorch, or similar - Hands-on experience with containerization and orchestration tools (Docker, Kubernetes) - Experience with cloud platforms (AWS, GCP, or Azure) - Familiarity with CI/CD tools (e.g., GitHub Actions, Jenkins, GitLab CI) - Strong understanding of data pipelines, distributed systems, and API development - Experience with monitoring tools and logging frameworks

Role Description Join us as a Data Architect / Lead and play a key role in shaping the data foundation behind our next generation of analytics and AI solutions. In this position, you’ll: - Define the architecture vision for our modern data ecosystem. - Guide a growing team of Data Engineers. - Build cloud-native platforms that unlock enterprise-wide insights. - Work closely with business and technology leaders. - Influence strategic decisions. - Drive the adoption of advanced analytics and Generative AI across the organization. Responsibilities - Lead & Strategize - Lead and mentor Data Engineers, fostering innovation and continuous improvement. - Own the data architecture vision aligned with business goals. - Partner with executives and stakeholders to turn strategic needs into scalable data solutions. - Architect & Build - Design and optimize modern data platforms using Azure Data Lake, Databricks, SQL Server, Microsoft Fabric, and NoSQL. - Build robust, scalable data pipelines across diverse data sources. - Implement strong data quality, governance, and security practices. - Support advanced analytics, machine learning, and AI-based solutions. - Enable Insights - Build solutions that deliver accurate, timely insights for decision-makers. - Collaborate on Power BI dashboards and executive reporting. - Integrate Generative AI into insight-generation workflows. Qualifications - Bachelor’s degree in Computer Science, Data Engineering, or related field. - 4+ years in data engineering, architecture, or analytics roles. - Experience leading Data Engineering teams in enterprise settings will be a plus. - Strong skills in Azure data services, Databricks, SQL, NoSQL, and Microsoft Fabric. - Hands-on Power BI and enterprise reporting experience. - Proven ability to build data pipelines and enforce data quality. - Excellent communication skills, especially with executive stakeholders. - Relevant certifications (Azure Data Engineer, Databricks, Fabric Analytics, etc.) are a plus. Benefits - Work format: Remote or in a comfortable office in Lviv - you choose. - Development: Personal development plan, mentoring, English and Polish language courses. - Stability: Official employment from day one, annual review of salary and career prospects. - Corporate culture: Events that unite the team and a space where everyone can be themselves.

Role Description PwC Poland’s Cloud & Digital team supports global cloud projects across Cloud Strategy, Migrations, Data Analytics, and DevOps. We help clients adopt cloud infrastructure, modernize data platforms, and optimize operations. This hybrid role is based in Warsaw with flexible working options. - Building data platforms (data warehouses, lakes, lakehouses) using Azure Databricks, MS Fabric, Azure Data Factory. - Designing data flows using medallion architecture and supporting data migrations from legacy systems. - Conducting data assessments with Data Modelers/Analysts and addressing data quality issues. - Working with senior stakeholders to gather requirements and support modern data architecture design. - Supporting Data Governance activities, especially around MDM and Data Quality. - Understanding Data Science/Analytics use cases in industries like Consumer Goods, Retail, Manufacturing, or Financial Services. Qualifications - 3 years of experience in Data Engineering or related fields (BI, Data Science). - Hands‑on experience with Databricks, Snowflake, BigQuery, MS Fabric. - Experience building data warehouses/lakehouses with Azure Data Factory / Synapse. - Skills in PySpark/Python and SQL. - Some exposure to CI/CD (Azure DevOps, Jira). - B2+ English and ability to prepare technical documentation. - Experience using modern tech and AI tools in daily work. Requirements - Cloud certifications (Azure/AWS/GCP) and Data Governance certifications. - Training via platforms like Coursera/Udemy/Datacamp. - Knowledge of data modelling (e.g., Kimball), Data Strategy, Data Quality, and MDM. - Experience with Agile (Scrum), ML/GenAI use cases, or Agentic AI for data automation. - Work with senior stakeholders (e.g., CDOs) in Manufacturing, Consumer Goods, or Financial Services. Benefits - Remote or in a comfortable office in Lviv - you choose. - Personal development plan, mentoring, English and Polish language courses. - Official employment from day one, annual review of salary and career prospects. - Events that unite the team and a space where everyone can be themselves.