Data Management Expert (2 Positions)
Worksite: Falls Church, VA or Fort Collins, CO (You will work onsite 5 days a week)
Work Permit: US Citizen or Green Card due to Government Contract.
Pay: $105,000 - $120,000 plus benefits, PTO, 401K etc.
Must be a U.S. Citizen or a Permanent Resident
Clearance: You will gain a public trust clearance in this job if you do not have one already.
Mindbank Consulting Group has an immediate need for a Data Management Expert.
Data Management Expert Responsibilities:
- Works in collaboration with other Data Managers to bridge biological expertise and technical requirements for managing species information.
- Responsible for organizing, integrating, governing, and improving accessibility and usability of species data across systems.
- Collaborate with biologists, ecologists, and technologists to understand data needs and objectives for species information workflows.
- Database development, governance, quality control, metadata management, modeling, ETL processes, data warehouse/data Lakehouse management, compliance with relevant policies and regulations, and documentation.
- Develop and implement data management strategies, protocols, and workflows for collection, storage, and integration from diverse sources.
- Design and maintain data architecture supporting taxonomy, distribution, habitat, behavior, genetic information, and related datasets.
- Support data integration, governance, and visualization efforts using technologies like AWS QuickSight, Microsoft SSRS, ESRIs ArcGIS Knowledge, and Databricks.
- Develop and test data models, database structure and data workflows.
- Implement data pipelines using AWS, Databricks, and other ETL solutions.
- Support the development and maintenance of Data Lakehouse architectures, including graph databases.
- Develop APIs to make necessary data available to the public.
- Develop and maintain data dictionaries, metadata standards, and documentation to enable discovery, interoperability, and reuse.
- Work with technologists to select and implement data tools and platforms supporting storage, retrieval, and analysis.
- Provide training and tools for researchers on data best practices, entry standards, and appropriate analysis tooling.
Data Management Expert Qualifications:
- Experience in data management, preferably in a scientific or biological research environment.
- Proficiency in data management principles, data validation, data mapping and migration, data modeling, database design and development, and data integration techniques.
- Ability to utilize Business Intelligence tools to represent insights and create reports.
- Experience working with dimensionally modeled data.
- Experience with SQL Server, Oracle, or PostgreSQL.
- Experience with cloud data platforms and modern ELT/ETL approaches.
- Experience with data governance frameworks, privacy, and controlled/uncontrolled data handling.
- Experience with data visualization tools (Tableau/Power BI) and/or Python/R for data manipulation.
- Experience with AWS QuickSight, Microsoft SSRS, ESRIs ArcGIS Knowledge, and Databricks.
- Strong analytical/problem-solving skills and attention to detail.
- Excellent communication and collaboration skills.
Why should you work for Mindbank?
Since 1986, Mindbank has helped hundreds of clients solve some of the most complex IT problems through the strategic implementation of solutions and resources. Our clients include US Federal agencies, State & Local Governments, Tribal Organizations, Fortune 1000 companies, as well as Small Businesses.
Mindbank believes that our employees deserve the best care that our company can provide. We offer our employees a comprehensive and competitive benefits package including:
- Medical Insurance
- Dental Insurance
- Vision Insurance
- Life Insurance
- Long Term Disability
- Short Term Disability
- 401 (k) Plan
- Paid Time Off
- Training and Education Reimbursement
- Referral Bonuses
As an Equal Opportunity Employer, Mindbank is committed to a diverse workforce and we seek the most qualified candidate for each opening without regard to race, color, religion, age, gender, gender identity, marital status, sexual orientation, national origin, protected veteran status, or disability status.
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