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Creative Information Technology Inc.
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  • Job DescriptionJob DescriptionScrum Master – Washington, DCAbout us Cr... Read More
    Job DescriptionJob Description



    Scrum Master – Washington, DC

    About us

    Creative Information Technology Inc (CITI) is an esteemed IT enterprise renowned for its exceptional customer service and innovation. We serve both government and commercial sectors, offering a range of solutions such as Healthcare IT, Human Services, Identity Credentialing, Cloud Computing, and Big Data Analytics. With clients in the US and abroad, we hold key contract vehicles including GSA IT Schedule 70, NIH CIO-SP3, GSA Alliant, and DHS-Eagle II.


    Join us in driving growth and seizing new business opportunities.

    Role and Responsibilities


    The Senior Scrum Master serves as a servant leader for the Agile team, facilitating Scrum ceremonies, removing impediments, and coaching the team toward self-organization and high performance. This role is responsible for navigating resistance to Agile practices within the team, addressing team conflicts and dysfunctions, and building psychological safety and collaboration.The Senior Scrum Master works closely with the Agile Coach and Product Owner to ensure the team operates effectively within Agile principles while delivering predictable value. This role operates independently with the team on day-to-day execution but adheres to the organization's Agile playbook, standards, and guidance from the Agile Program Manager. This role requires the ability to navigate organizational complexity, shield the team from external disruptions, and drive a culture of continuous improvement and accountability.

    Minimum Qualification

    At least seven (7) years of hands-on experience as a Scrum Master serving multiple teams in complex, matrixed organizations. Certified Scrum Master (CSM) or ProfessionalScrum Master (PSM II or higher) required; advanced certifications (e.g., Certified ScrumProfessional, SAFe Scrum Master) preferred.Proven track record building self-organizing teams, navigating resistance to Agile adoption, and driving measurable improvements in team velocity and predictability.Demonstrated ability to address team conflicts, build psychological safety, and guide teams through cultural and mindset shifts.Strong facilitation, conflict resolution, change management, and stakeholder management skills.Experience working within established organizational playbooks while coaching teams to Agile maturity.Government or highly regulated industry experience preferred.Team Self-Organization & Accountability: Build self-organizing, empowered teams that take ownership of commitments, foster accountability for sprint goals and delivery.Impediment Removal & Escalation: Identify and remove team-level impediments quickly, escalate organizational/systemic blockers to appropriate leadership, and maintain transparent impediment tracking and resolution.Continuous Improvement Culture: Facilitate meaningful retrospectives that drive action, implement improvements based on team feedback, and foster experimentation and learning mindset.


    Read Less
  • Job DescriptionJob DescriptionData Engineer – Baltimore City, MDAbout... Read More
    Job DescriptionJob Description

    Data Engineer – Baltimore City, MD

    About us

    Creative Information Technology Inc (CITI) is an esteemed IT enterprise renowned for its exceptional customer service and innovation. We serve both government and commercial sectors, offering a range of solutions such as Healthcare IT, Human Services, Identity Credentialing, Cloud Computing, and Big Data Analytics. With clients in the US and abroad, we hold key contract vehicles including GSA IT Schedule 70, NIH CIO-SP3, GSA Alliant, and DHS-Eagle II.


    Join us in driving growth and seizing new business opportunities.

    Background

    Client is seeking a hands-on Data Engineer to design, develop, and optimize large-scale data pipelines in support of our Enterprise Data Warehouse (EDW) and Data Lake solutions. This role requires deep technical expertise in coding, pipeline orchestration, and cloud-native data engineering on AWS. The Data Engineer will be directly responsible for implementing ingestion, transformation, and integration workflows — ensuring data is high-quality, compliant, and analytics-ready. This role may support other projects or teams within MDH as needed.

    Role and Responsibilities


    Responsible for designing, building, and maintaining data pipelines and infrastructure to support data-driven decisions and analytics. The individual is responsible for the following tasks:


    Design, develop and maintain data pipelines, and extract, transform, load (ETL) processes to collect, process and store structured and unstructured data Build data architecture and storage solutions, including data lakehouses, data lakes, data warehouse, and data marts to support analytics and reporting Develop data reliability, efficiency, and qualify checks and processes Prepare data for data modeling Monitor and optimize data architecture and data processing systems Collaboration with multiple teams to understand requirements and objectives Administer testing and troubleshooting related to performance, reliability, and scalability

    H. Create and update documentation


    Hands-On Data Pipeline Development

    Design, code, and deploy ETL/ELT pipelines across bronze, silver, and gold layers of the Data Lakehouse. Build ingestion pipelines for structured (SQL), semi-structured (JSON, XML), and unstructured data using PySpark/Python programming language using AWS Glue or EMR. Implement incremental loads, deduplication, error handling, and data validation. Actively troubleshoot, debug, and optimize pipelines for scalability and cost efficiency.


    EDW & Data Lake Implementation

    Develop dimensional data models (Star Schema, Snowflake Schema) for analytics and reporting. Build and maintain tables in Iceberg, Delta Lake, or equivalent OTF formats. Optimize partitioning, indexing, and metadata for fast query performance.


    Healthcare Data Integration

    Build ingestion and transformation pipelines for EDI X12 transactions (837, 835, 278, etc.). Implement mapping and transformation of EDI data with FHIR and HL7 frameworks. Work hands-on with AWS Health Lake (or equivalent) to store and query healthcare data.


    Data Quality, Security & Compliance

    Develop automated validation scripts to enforce data quality and integrity. Implement IAM roles, encryption, and auditing to meet HIPAA and CMS compliance standards. Maintain lineage and governance documentation for all pipelines.


    Collaboration & Delivery

    Work closely with the Lead Data Engineer, analysts, and data scientists to deliver pipelines that support enterprise-wide analytics. Actively contribute to CI/CD pipelines, Infrastructure-as-Code (IaC), and automation. Continuously improve pipelines and adopt new technologies where appropriate.

    Minimum Qualifications

    The candidate should have experience as data engineer or similar role with a strong understanding of data architecture and ETL processes. The candidate should be proficient in programming languages for data processing and knowledgeable of distributed computing and parallel processing.This position requires a bachelor’s or master’s degree from an accredited college or university with a major in computer science, statistics, mathematics, economics, or a related field. Three (3) years of equivalent experience in a related field may be substituted for the Bachelor’s degree.3+ years hands-on experience in building, deploying, and maintaining data pipelines on AWS or equivalent cloud platforms. Strong coding skills in Python and SQL (Scala or Java a plus). Proven experience with Apache Spark (PySpark) for large-scale processing. Hands-on experience with AWS Glue, S3, Redshift, Athena, EMR, Lake Formation. Strong debugging and performance optimization skills in distributed systems. Hands-on experience with Iceberg, Delta Lake, or other OTF table formats. Experience with Airflow or other pipeline orchestration frameworks. Practical experience in CI/CD and Infrastructure-as-Code (Terraform, CloudFormation). Practical experience with EDI X12, HL7, or FHIR data formats. Strong understanding of Medallion Architecture for data lake houses. Hands-on experience building dimensional models and data warehouses. Working knowledge of HIPAA and CMS interoperability requirements. Read Less

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