<h3>Job Description</h3><div>Job Description<div>As the Director of Enterprise Healthcare Architect and Data Management, you will provide strategic and operational support, analysis, and subject matter expertise in the areas of clinical data quality management and innovation, performance measurement, process improvement, health informatics, data interoperability, and the overall CCI Electronic Health/Medical Record System, and Data Quality Services. This position requires knowledge of Enterprise Data Architecture Framework for Healthcare, including health informatics principles and methods, clinical quality measurement, an understanding of how measures are developed, implemented, reported, and monitored, public quality reporting programs, and health data repositories, health data standards and interoperability, and analysis of healthcare data. CCI employees are expected to work on multiple projects, cross-pollinate good ideas across the organization, and continuously learn. We are truly an interdisciplinary department that thrives on having adaptable and diverse skillsets to support comprehensive analysis and to drive analytical, evidence-based decision-making with our sponsors. We value people who can bring unique perspectives and experiences, and who are driven to learn novel technologies. CCI works to solve problems in the public interest, in partnership with other FQHCs, MCOs, and Healthcare partners. Job Responsibilities: • Design and implement data-driven solutions in support of clinical business intelligence. • Frame data warehouses and troubleshoot solutions (database management). • Clean data ingestion, data transformation, data integrity, and integrate disparate sources of data. Ensure data strategies align with clinical objectives. • Facilitate integration, information sharing, and exploitation of common requirements across the organization. • Provide strategic and operational support and subject matter expertise based on an understanding of clinical data quality management, process improvement, and measurement issues. <ul><li>Conduct data analysis of healthcare data extracted from electronic health records or other electronic data sources. </li></ul>• Manage the clinical data quality program and lead health information technology (HIT) implementation and reporting. • Write/review descriptions of measures for clinical quality programs, including their uses and limitations, suitable for a non-technical audience. • Use in-depth management software for analytics to communicate information to various stakeholders (Data Visualization). • Advise leadership and stakeholders as they seek to modernize their clinical and healthcare data and technology infrastructure. to improve the timeliness, completeness, and quality of the clinical quality reports and the use of clinical data by clinicians. • Apply knowledge of the broad principles of health and clinical informatics, clinical systems, and healthcare processes at the point of care to enable decision-making and support for CCI. • Streamline data collection and collaborate with multi-disciplinary teams on a variety of health and non-health-related backgrounds to develop solutions that serve CCI’s efforts to modernize their data and EMR technology infrastructure. • Develop reports (data mining & predictive analytics) and presentations for internal consumption and professional public health audiences that effectively communicate findings and promote recommendations to improve efficacy. • Support and coordinate multi-site, multi-agency, and multi-stakeholder initiatives to help advance key CCI objectives and National public health objectives. • Ensure proper documentation of all work per HIT standards and processes including change management. Including clinical data governance, policies, and procedures as well as training materials for enterprise data utilization. • Provide subject matter expertise in informatics, data modeling and design, data science, machine learning (A.I.), clinical workflows, metadata management and Industry best practices in digital health. • Ability to interface with senior leaders and leaders of federal healthcare agencies and departments, think creatively, and guide approaches to solutions based on a clinical understanding of the issues. • Provide translation between information technology experts and clinical and informatics subject matter experts. • Advanced knowledge of data analytic/visualization tools and techniques required.<ul><li>Collaborate with the IT Infrastructure Team on multiple operational and project deliverables. Including but not limited to: EMR System Infrastructure, Application Support, Report Engine Infrastructure, and Cloud Services (Data Repository).</li></ul> Minimum Qualifications: <ul><li>Minimum5 years related experience at a Director level and a Bachelor’s degree; or 10 years combination of related education and work experience and a Master's Degree a plus. </li><li></li><li>Applied expertise working with clinical and health information systems, open data sources, and data standards. </li><li>Experience working with production healthcare systems such as EHRs, Health Information Exchanges (HIEs), Interface Engines, or other clinical systems including CRISP, CommonWell, or ADT systems. </li><li>Familiarity with the healthcare industry, healthcare terminology, clinical roles, and national healthcare organizations. </li><li>Knowledge of clinical quality measures and clinical decision support systems. </li><li>Experience using data visualization tools.</li><li>Experience with data querying languages, and statistical transaction & activities.</li><li>Proficient in writing algorithms and knowing when to apply them.</li><li>A strong understanding of Healthcare IT standards (HL7, CDA-based standards, and the HL7 FHIR)</li><li>Familiarity with the associated HIPAA and FISMA privacy and security policies that must be addressed when handling Protected Health Information (PHI), Personally Identifiable Information (PII).</li></ul>Skills/Knowledge/Abilities:<ul><li>Effective written, verbal, and interpersonal communication skills. </li><li>Ability to make quality, independent decisions.</li><li>Ability to maintain confidentiality.</li><li>Experience with Relevant™ Analytics tool and/or eClinicalWorks (eCW) preferred.</li><li>Familiar with HRSA, HEDIS, Government HealthCare practices, and general Population Health Analytics.</li><li>Proficiency with database programming languages such as SQL.</li><li>Proficiency with Python for data manipulation.</li><li>Experience with data visualization tools.</li><li>Strong analytical and problem-solving skills. </li><li>Using ETL for large data processing into SQL Server.</li><li>Author and modify SQL Server Reporting Services reports. </li><li>Perform SQL Server integration with enterprise applications. </li><li>Manage and design both back-end organization of data and front-end accessibility for end-users.</li></ul><ul><li>Refine and translate designs into a specific data model and achievable end goal.</li><li>Manage complex query tuning and schema refinement. </li><li>Knowledge of licensure regulations, Joint Commission on Accreditation of Healthcare Organizations, and State/Federal standards.</li></ul><ul><li>Knowledge of Performance Improvement methodology and Outcomes Management. </li><li>Ability to organize, formulate, educate, and facilitate problem-solving teams. </li><li>Expertise in Microsoft Office and Database management.</li></ul>  Founded in 1972, CCI Health Services is a diverse and inclusive workplace grounded in community. Located in the Washington, DC Metro Area, each year CCI cares for more than 60,000 individuals in Montgomery and Prince George’s Counties. As a non-profit, CCI is committed to improving health equity through the provision of affordable primary care for all, across all stages of life. Visit ccicares.org for more information.Powered by JazzHRQpTS7PtBqW</div></div>

As the Director of Enterprise Healthcare Architect and Data Management, you will provide strategic and operational support, analysis, and subject matter expertise in the areas of clinical data quality management and innovation, performance measurement, process improvement, health informatics, data interoperability, and the overall CCI Electronic Health/Medical Record System, and Data Quality Services. This position requires knowledge of Enterprise Data Architecture Framework for Healthcare, including health informatics principles and methods, clinical quality measurement, an understanding of how measures are developed, implemented, reported, and monitored, public quality reporting programs, and health data repositories, health data standards and interoperability, and analysis of healthcare data. CCI employees are expected to work on multiple projects, cross-pollinate good ideas across the organization, and continuously learn. We are truly an interdisciplinary department that thrives on having adaptable and diverse skillsets to support comprehensive analysis and to drive analytical, evidence-based decision-making with our sponsors. We value people who can bring unique perspectives and experiences, and who are driven to learn novel technologies. CCI works to solve problems in the public interest, in partnership with other FQHCs, MCOs, and Healthcare partners. Job Responsibilities: Design and implement data-driven solutions in support of clinical business intelligence. Frame data warehouses and troubleshoot solutions (database management). Clean data ingestion, data transformation, data integrity, and integrate disparate sources of data. Ensure data strategies align with clinical objectives. Facilitate integration, information sharing, and exploitation of common requirements across the organization. Provide strategic and operational support and subject matter expertise based on an understanding of clinical data quality management, process improvement, and measurement issues. + Conduct data analysis of healthcare data extracted from electronic health records or other electronic data sources. Manage the clinical data quality program and lead health information technology (HIT) implementation and reporting. Write/review descriptions of measures for clinical quality programs, including their uses and limitations, suitable for a non-technical audience. Use in-depth management software for analytics to communicate information to various stakeholders (Data Visualization). Advise leadership and stakeholders as they seek to modernize their clinical and healthcare data and technology infrastructure. to improve the timeliness, completeness, and quality of the clinical quality reports and the use of clinical data by clinicians. Apply knowledge of the broad principles of health and clinical informatics, clinical systems, and healthcare processes at the point of care to enable decision-making and support for CCI. Streamline data collection and collaborate with multi-disciplinary teams on a variety of health and non-health-related backgrounds to develop solutions that serve CCIs efforts to modernize their data and EMR technology infrastructure. Develop reports (data mining & predictive analytics) and presentations for internal consumption and professional public health audiences that effectively communicate findings and promote recommendations to improve efficacy. Support and coordinate multi-site, multi-agency, and multi-stakeholder initiatives to help advance key CCI objectives and National public health objectives. Ensure proper documentation of all work per HIT standards and processes including change management. Including clinical data governance, policies, and procedures as well as training materials for enterprise data utilization. Provide subject matter expertise in informatics, data modeling and design, data science, machine learning (A.I.), clinical workflows, metadata management and Industry best practices in digital health. Ability to interface with senior leaders and leaders of federal healthcare agencies and departments, think creatively, and guide approaches to solutions based on a clinical understanding of the issues. Provide translation between information technology experts and clinical and informatics subject matter experts. Advanced knowledge of data analytic/visualization tools and techniques required. + Collaborate with the IT Infrastructure Team on multiple operational and project deliverables. Including but not limited to: EMR System Infrastructure, Application Support, Report Engine Infrastructure, and Cloud Services (Data Repository). Minimum Qualifications: + Minimum5 years related experience at a Director level and a Bachelors degree; or 10 years combination of related education and work experience and a Master's Degree a plus. + + Applied expertise working with clinical and health information systems, open data sources, and data standards. + Experience working with production healthcare systems such as EHRs, Health Information Exchanges (HIEs), Interface Engines, or other clinical systems including CRISP, CommonWell, or ADT systems. + Familiarity with the healthcare industry, healthcare terminology, clinical roles, and national healthcare organizations. + Knowledge of clinical quality measures and clinical decision support systems. + Experience using data visualization tools. + Experience with data querying languages, and statistical transaction & activities. + Proficient in writing algorithms and knowing when to apply them. + A strong understanding of Healthcare IT standards (HL7, CDA-based standards, and the HL7 FHIR) + Familiarity with the associated HIPAA and FISMA privacy and security policies that must be addressed when handling Protected Health Information (PHI), Personally Identifiable Information (PII). Skills/Knowledge/Abilities: + Effective written, verbal, and interpersonal communication skills. + Ability to make quality, independent decisions. + Ability to maintain confidentiality. + Experience with Relevant Analytics tool and/or eClinicalWorks (eCW) preferred. + Familiar with HRSA, HEDIS, Government HealthCare practices, and general Population Health Analytics. + Proficiency with database programming languages such as SQL. + Proficiency with Python for data manipulation. + Experience with data visualization tools. + Strong analytical and problem-solving skills. + Using ETL for large data processing into SQL Server. + Author and modify SQL Server Reporting Services reports. + Perform SQL Server integration with enterprise applications. + Manage and design both back-end organization of data and front-end accessibility for end-users. + Refine and translate designs into a specific data model and achievable end goal. + Manage complex query tuning and schema refinement. + Knowledge of licensure regulations, Joint Commission on Accreditation of Healthcare Organizations, and State/Federal standards. + Knowledge of Performance Improvement methodology and Outcomes Management. + Ability to organize, formulate, educate, and facilitate problem-solving teams. + Expertise in Microsoft Office and Database management. Founded in 1972, CCI Health Services is a diverse and inclusive workplace grounded in community. Located in the Washington, DC Metro Area, each year CCI cares for more than 60,000 individuals in Montgomery and Prince Georges Counties. As a non-profit, CCI is committed to improving health equity through the provision of affordable primary care for all, across all stages of life. Visit ccicares.org for more information. Powered by JazzHR

<h3>Job Description</h3><div>Job Description<div>Are you an experienced Cloud Big Data Expert looking to make a significant impact in a dynamic and mission-driven environment? Do you have a passion for AWS and data lake technologies? Join our remote team and play a pivotal role in supporting cloud initiatives for the National Oceanic and Atmospheric Administration (NOAA) and National Environmental Satellite, Data, and Information Service (NESDIS).As an AWS Big Data Architect, you will be at the forefront of architecting and provisioning enterprise-level Cloud services, including Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). Your expertise will be crucial in driving advanced data solutions and ensuring high performance, security, and compliance.Why You Should Join Us:<ul><li>Impactful Work: Contribute to critical cloud initiatives that support environmental data and satellite services, making a real difference.</li><li>Innovative Environment: Work with cutting-edge technologies and stay updated with the latest trends in cloud computing, big data, and data engineering.</li><li>Collaborative Team: Collaborate with data scientists, analysts, and cross-functional teams to deliver high-quality solutions.</li><li>Remote Flexibility: Enjoy the flexibility of working remotely while being part of a supportive and dynamic team.</li></ul>Key Responsibilities:<ul><li>Design and implement scalable and efficient data pipelines using AWS and Data Lakehouse Platform services.</li><li>Leverage AWS services (S3, Kinesis, Redshift, EMR, Glue, Lambda, etc.) and Apache Spark for advanced data processing and analytics.</li><li>Develop and maintain data lakes and data warehouses, ensuring data integrity and accessibility.</li><li>Optimize data storage and processing for performance and cost efficiency.</li><li>Automate data workflows and ensure high data quality and reliability.</li><li>Monitor, troubleshoot, and resolve data pipeline issues.</li><li>Implement data governance practices and ensure high standards of data quality.</li><li>Provide ongoing support for the platform, ensuring high availability and reliability.</li><li>Create documentation and train team members on platform infrastructure and processes.</li></ul>Qualifications:<ul><li>5+ years of experience in big data analytics, data engineering, or related roles.</li><li>Expertise in designing, building, and maintaining data warehouses and understanding data modeling, data warehousing, and data lake concepts.</li><li>Proficiency in programming languages (Python, Java, Scala) and scripting languages (Bash, PowerShell).</li><li>Hands-on experience with big data technologies (Apache Hadoop, Spark, Kafka, etc.).</li><li>Extensive experience with AWS services (S3, Glue, Redshift, EMR, Athena, etc.).</li><li>Strong SQL skills and experience with relational databases.</li><li>Experience in building and optimizing big data pipelines, architectures, and data sets.</li><li>Familiarity with ETL tools and data integration techniques.</li><li>Excellent communication and team collaboration skills.</li><li>Must be able to obtain a security clearance.</li></ul>Education:<ul><li>BS in Computer Science, IT, Software or Computer Engineering, Data Science or Analytics, Mathematics, or a related field.</li></ul>If you're ready to take your career to the next level and work on meaningful projects in a cutting-edge field, apply now to join our team as an AWS Big Data Architect!</div></div>

GAMA-1 Technologies, LLC is seeking a remote experienced and highly motivated Cloud Big Data Expert with experience in AWS and data lake technologies to join our team. In this role, the successful candidate will be instrumental in driving GAMA-1's efforts to support cloud initiatives for the National Oceanic and Atmospheric Administration (NOAA) and National Environmental Satellite, Data, and Information Service (NESDIS) with a focus on architecting and provisioning enterprise-level Cloud services, including Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS).
The ideal candidate will have a strong background in big data analytics, data engineering, and cloud computing, with a focus on building and optimizing data lakes on AWS. The Cloud Big Data Expert plays a crucial role in designing, implementing, and managing advanced data solutions using both AWS and Data Lakehouse platforms. This position requires a blend of skills in cloud computing, data engineering, and analytics. Responsibilities include optimizing performance, ensuring security and compliance, and providing support and troubleshooting. Collaboration with data scientists and analysts is also key, ensuring the platform meets analytics needs while staying updated with the latest technologies and practices in the field.
Responsibilities: Design and implement scalable and efficient data pipelines using AWS and Data Lakehouse Platform services. Leverage AWS cloud services like S3, Kinesis, Redshift, EMR, Glue, Lambda, and others in combination with Data Lakehouse platform/Apache Spark Integration for advanced data processing and analytics. Collaborate with cross-functional teams to understand business needs and translate them into technical solutions. Utilize Databricks for big data processing and streaming analytics.
Develop and maintain data lakes and data warehouses on AWS and Data Lakehouse Platform, ensuring data integrity and accessibility. Optimize data storage and processing for performance and cost efficiency. Automate data workflows and ensure high data quality and reliability. Monitor, troubleshoot, and resolve data pipeline issues.
Organize and manage data within the environment, ensuring it is stored efficiently, securely, and in a manner that supports easy access and analysis. Monitor the performance of data processes and queries and optimize efficiency and speed.
Ensure high standards of data quality and implement data governance practices. Stay current with emerging trends and technologies in cloud computing, big data, and data engineering.
Provide ongoing support for the platform, troubleshoot any issues that arise, and ensure high availability and reliability of data infrastructure.
Create documentation for the platform infrastructure and processes, and train other team members or users on the platform effectively.
Set up, configure, implement, and maintain the data lake and respective tools.
Qualifications: 5 years’ experience in big data analytics, data engineering, or related roles.
Experience in designing, building, and maintaining data warehouses. Understanding of data modeling, data warehousing, and data lake concepts.
Proficiency in programming languages such as Python, Java, Scala, and scripting languages like Bash or PowerShell.
Experience with big data technologies, such as Apache Hadoop, Spark, Kafka, and others.
Hands-on experience with AWS services such as S3, Glue, Redshift, EMR, Athena, etc.
Proficiency in SQL and experience with relational databases.
Experience in building and optimizing big data pipelines, architectures, and data sets.
Familiarity with ETL tools, processes, and data integration techniques.
Excellent communication and team collaboration skills.
AWS Certification.
Must be able to obtain a security clearance.
Education and Experience: BS in Computer Science, IT, Software or Computer Engineering, Data Science or Analytics, Mathematics or related field.
ABOUT GAMA-1
GAMA-1 is a rapidly growing technology business that is based in Greenbelt, Maryland. GAMA-1 Technologies provides strategic information assurance, information security, and business enterprise and networking solutions to the Federal Government. Our success is based on the utilization of industry and agency standards, establishment of standardized processes, and IT Services expertise. At GAMA-1, we believe employees should grow, achieve, and develop just as the company grows, achieves, and develops. GAMA-1 is committed to providing our employees with opportunities for career advancement throughout their employment. For more information, visit www.gama1tech.com.
GAMA-1 is an Equal Opportunity Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.

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Data Architect Jobs in Silver Spring, MD

Director Enterprise Healthcare Data Architect And Management
September 6, 2024

Director Enterprise Healthcare Data Architect And Management
September 5, 2024

Aws Big Data Architect
August 18, 2024

Aws Big Data Architect
August 13, 2024

Aws Big Data Architect
August 10, 2024

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Data Architect Jobs in Silver Spring, MD

Director Enterprise Healthcare Data Architect And ManagementSeptember 6, 2024

Director Enterprise Healthcare Data Architect And ManagementSeptember 5, 2024

Aws Big Data ArchitectAugust 18, 2024

Aws Big Data ArchitectAugust 13, 2024

Aws Big Data ArchitectAugust 10, 2024