Founded in early 2021, Ibility is a Service-Disabled Veteran-Owned Small Business and a Woman-Owned Small Business, headquartered in Gaithersburg, MD. Ibility is a small but mighty company that is positioned for rapid growth. Simply put, we help government leaders to achieve their mission by designing creative products and programs that delight their customers and make their employees more efficient - building trust and improving overall satisfaction. We use human-centered design principles in every engagement because we believe the end-user is critical to the long-term success of any solution. Our team is fun, passionate, bold, and creative. We live our mission every day – to inspire people, create cool stuff, and make a lasting impact on the world! Project Background: Providing timely access to care for Veterans is one of the Department of Veterans Affairs (VA) top priorities. In order to understand VA’s current state of access, the Veterans Health Administration (VHA) performed a programmatic and functional assessment of direct and community care. VHA has integrated direct and community care access to develop an Integrated Veteran Care (IVC) model to provide a transformative structure for optimizing access to care, improving outcomes, and strengthening enterprise decision-making. The Integrated Informatics and Analytics (II&A) Program, a program under the Office of Integrated Care is committed to providing tools and support for VHA leadership and offices to make data-driven decisions by:What You Will Need to be Successful:Benefits (including but not limited to):We are committed to diversity, inclusion, and accessibility. We are an Equal Opportunity Employer in all aspects of employment and do not discriminate for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or local protected class. This range is not a guarantee of compensation or salary, as Ibility reviews every candidate based on experience, location, education, industry experience, and comparisons to internal pay bands. In addition to salary, Ibility offers robust benefits including medical/dental/vision insurance coverage, paid holidays, paid time off, and a very supportive work/life balance.
- Implementing a data stewardship program to improve IVC & VHA data
- Documenting and developing solutions to resolve and mitigate data quality issues
- Promoting better understanding and use of data and information technology
- Impacting clinical and business workflows to enable a high performing health system Ibility is seeking a Senior Data Engineer who will be is responsible for conducting research, analyzing data, preparing reports, monitoring and analyzing functional and project progress; problem solving, aiding with budgets; and assisting program/project managers. What You Will be Doing:
- The Senior Data Engineers’ major duties and responsibilities are as such but not limited to:
- Develop, construct, expand, and optimize data and data pipeline architecture
- Define data assets to populate data models
- Design data integrations and data quality framework
- Design and evaluate open source and vendor tools for data lineage
- Work closely with all business units and engineering teams to develop strategy for long term data platform architecture
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
- Build appropriate analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics
- Support software developers, database architects, and data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects
- Work with stakeholders to assist with data-related technical issues and support their data infrastructure needs
- Create data tools for analytics and data scientist team members that assist them in building and optimizing products into an innovative environment
- Plan and conduct data engineering projects and/or studies to evaluate, design, and tabulate statistical sampling plans and analytical procedures and processes.
- Interface with senior leadership on complex problems and resolves major issues, based on sound data engineering principles and affordable solutions. Serves as the principal investigator for data engineering requiring a high degree of technical competence to gauge the extent to which the perimeters of the state-of-the-art can be pushed
- Engage with organizations, Industry and Academia to conduct necessary stakeholder analysis to ensure data engineering projects support IVC and end-user requirements.
- Develop and aids in the production of documents, roadmaps and strategies for data environment and architecture
- Provide support to the development of requirements documents and program baseline and program recommendations as appropriate
- Collaborate with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility, and fostering data-driven decision making across the organization
- Implement processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it
- Write unit/integration tests, contributes to engineering wiki, and documents work
- Perform data analysis required to troubleshoot data related issues and assist in the resolution of data issues
- Bachelor’s or Master’s Degree in one of the following fields: Computer Science, Data Engineering, or Data Science
- Deep understanding of data architecture, machine learning, or advanced analytics
- Certifications related to data engineering or cloud platforms such as AWS, Google Cloud, or Microsoft Azure (e.g., AWS Certified Big Data – Specialty, Microsoft Certified: Azure Data Engineer Associate)
- Minimum of 7 years experience in data pipeline architecture, ETL processes, data warehouse and database design, and Cloud platforms such as AWS, Google Cloud, Azure, or Hadoop, especially with a focus on data engineering and big data technologies (Spark, Kafka, etc.)
- Advanced Expertise in: Programming languages such as Python, Java, Scala, or SQL for building robust data pipelines and performing complex queries; Data warehousing and modeling techniques, including experience with tools like Snowflake, Redshift, or BigQuery; and Data governance and quality frameworks, ensuring the integrity of production data and addressing issues related to data quality
- Experience with data visualization tools such as Power BI, Tableau, or Looker
- Excellent communication skills, both written and verbal, with the ability to develop and deliver comprehensive communication strategies
- A happy and collaborative spirit, ready to laugh and have fun
- High level of emotional intelligence is a must
- Minimum of 7 years of experience supporting a large healthcare corporation or healthcare government agency
- Public sector experience and specifically within the Department of Veterans Affairs is preferred
- Health, Dental, and Vision Plans
- STD/LTD/Life Insurance/AD&D
- HSA
- Paid Time Off and 11 Federal Holidays
- 401k (COMING SOON)