Big Data Engineer
Washington, DC, Virginia, Maryland
Hybrid
Full time
Posted 15 Days Ago
Big Data Engineers to join the Machine-assisted Analytics Development Operations (DevOps) and provide on-site technical support to facilitate operations of critical infrastructure and services. This effort focuses on providing a comprehensive set of System/ Software Engineering and IT Services to maintain, sustain, enhance, and improve/ modernize Machine-assisted Analytics.
Designs scalable data architectures, leading ETL processes, and oversees the implementation of data storage solutions
Support the development and integration of advanced analytics tools, ensuring efficient data access and insights generation
Optimize system performance and scalability, implementing continuous improvement initiatives
Qualifications
Bachelor's degree in Information Technology, Cybersecurity, Computer Science, Information Systems, Data Science, or Software Engineering and 14 years or more relevant experience (will consider an additional 4+ years of relevant experience in lieu of degree)
One Active Certification: CCISO, CISM, CISSP, GSLC, SSCP or GSEC
Expertise in designing, implementing, and managing Big Data solutions especially experience with:
Azure Data Lake Gen2, Azure Lakehouse, Azure Databricks, Azure Cognitive Search, OpenAI, Azure Secure ADF pipelines, Hadoop, Spark, and data streaming technologies.
Proven experience optimizing data pipelines, performing large-scale data processing, and ensuring data quality
Strong knowledge of data warehousing concepts, ETL processes, and distributed computing environments
NICE TO HAVE:
Experience with :
IBM Maximo, IBM Tririga, Kahua, Salesforce CRM, Appian, Databricks, BidHom, and ArcGIS.
MUST be a United States Citizen
Public Trust position - Requires a Federal Government Background Check
Big Data Engineer
Washington, DC
Hybrid
Full time
Posted 4 Days Ago
Big Data Engineers to join the Machine-assisted Rapid-repository System Development Operations (DevOps) and Sustainment Support program(s) and provide on-site technical support to facilitate operations of Machine-assisted Rapid-repository infrastructure and services. This effort focuses on providing a comprehensive set of System/ Software Engineering and IT Services to maintain, sustain, enhance, and improve/ modernize Machine Assisted Data Operations. This position will be located in the Washington, DC metropolitan region.
Contingent upon contract award, with an anticipated decision expected by Winter 2025 to Spring 2026.
REQUIRED:
Designs scalable data architectures, leading ETL processes, and oversees the implementation of data storage solutions
Support the development and integration of advanced analytics tools, ensuring efficient data access and insights generation
Optimize system performance and scalability, implementing continuous improvement initiatives
Bachelor's degree in Information Technology, Cybersecurity, Computer Science, Information Systems, Data Science, or Software Engineering and 9 years or more relevant experience (will consider an additional 4+ years of relevant experience in lieu of degree)
One Active Certification: CCISO, CISM, CISSP, GSLC, SSCP or GSEC
Expertise in designing, implementing, and managing Big Data solutions using Hadoop, Spark, and data streaming technologies
Proven experience optimizing data pipelines, performing large-scale data processing, and ensuring data quality
Strong knowledge of data warehousing concepts, ETL processes, and distributed computing environments
MUST be a United States Citizen
Public Trust position - Requires a Federal Government Background Check
Target salary range: $150,001 - $185,000.
Data Architect
Washington, DC
Hybrid
Full time
Posted 4 Days Ago
Design and manage the data architecture that underpins the Machine-assisted Rapid-repository System
Develop comprehensive data models, schemas, and storage solutions that ensure efficient data integration, retrieval, and analysis
Establish data governance frameworks, standardize data definitions, and implement best practices to maintain data quality and consistency across the system
Work closely with cross-functional teams to align data architecture with business requirements and to optimize performance, scalability, and security
Guide the team in deploying advanced data management tools and technologies, ensuring seamless data flow and accessibility
Qualifications
REQUIRED:
Bachelor’s Degree in IT, Cybersecurity, Computer Science, Information Systems, Data Science, or Software Engineering and 7 years or more of related experience; Masters and 8 years or more experience (an additional 4 years of experience will be considered in lieu of degree)
Active Certification: Security+, SecurityX/ CASP+, CCNP Security, CISSP, CISA, Cloud+, or CISM
Extensive experience in leading the development of data architectures, optimizing database systems, and ensuring data governance
Proficiency in data modeling, designing data pipelines, and integrating diverse data sources
Strong understanding of big data technologies and enterprise data management
MUST be a United States Citizen
Public Trust position - Requires a Federal Government Background Check
Target salary range: $143,000 - $200,000.
Equal Opportunity Employer (EOE) - All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin.