integration engineer Virginia
Job description
What You’ll Get to Do
CACI is seeking a Data Integration Engineer to support a complex data modeling position supporting cybersecurity data collection, analysis, and mitigation. This position will be responsible for researching industry trends related to enterprise data and incorporating best practices into the roadmap.
The engineer will be responsible for analysis of data derived from diverse cybersecurity tools and architecting and developing scalable and comprehensive enterprise solutions to extract data from source systems or models, transform data according to Business Rules and MDM, and load data into operational and presentation models. The engineer will also work with the Integration Layer Architecture Product Owner to develop an approach for expanding the scope of the existing data integration layer to accommodate data from an expanded set of data sources, as a part of a future solution deployment.
This position will support the Continuous Diagnostics and Mitigation (CDM) Program’s mission to safeguard and secure cyberspace in an environment where the threat of cyber-attack is continuously growing and evolving and is responsible for enhancing the security, resilience, and reliability of the Nation’s cyber and communications infrastructure. The CDM Program defends the United States (U.S.) Federal Information Technology (IT) networks from cybersecurity threats by providing continuous monitoring sensors (tools), diagnosis, mitigation tools, and associated services to strengthen the security posture of Government networks.
More About the Role
- Design and build reusable data integration APIs for the data lake with optimal storage, compute scale, and observability.
- Examine the criteria and develop data structures following client-established norms.
- Build and accelerate low-code ETL/ELT system to process billions of records daily.
- Develop rules and algorithms for using ML/AI in data processing, transformation, and correlation, whether the data is structured, unstructured, or semi-structured.
- Use Python, BASH, PowerShell, or another scripting language to automate manual processes.
- Load large volumes of data.
- Developing, deploying, scheduling, and maintaining the data pipeline workflows to move data from multiple source systems to the Integration Layer and Elastic
- Identify and define system data collection requirements.
- Prepare and document standard operating procedures and protocols for all designed and developed solutions that ensure detailed project documentation.
You’ll Bring These Qualifications
- US Citizenship required
- There is no clearance requirement to begin employment. However, as a requirement of continued employment, you must meet eligibility requirements for access to classified information and be clearable to a Department of Homeland Security (DHS) Entrance on Duty (EOD) authorization.
- Experience in building and maintaining data integration and processing systems that receive data feeds from multiple disparate data sources
- Familiarity with web related technologies (Web applications, Web Services, Service Oriented Architectures) and of network/web related protocols
- Possess strong problem-solving skills and can work effectively under high-pressure situations.
- BS degree in Computer Science or a related field
- Expert in programming languages like Python, R, Java, and Scala, and well-versed in libraries and frameworks for ML/AI such as TensorFlow+Keras, PyTorch, and scikit-learn – 4 or more years
- Extensive experience in ML algorithms, statistical analysis, data mining, data visualization, data labeling – 4 or more years
- Experience in Data Lakes such as Databricks Data Lake, Azure Data Factory, Azure Databricks, Snowflake, AWS Glue, AWS Stitch – 4 or more years
- Practical knowledge in data cleaning, reporting, and visualization.
- Experience with source control tools such as GitLab, Github or Azure DevOps and related CI/CD processes - 4 or more years
- Experience with Data Modelling – 4 or more years
- Data Management Concepts (Data Extraction, Cleansing, Transformation, loading, Validation, Migration, Modelling, RDBMS concepts) – 4 or more years
These Qualifications Would Be Nice to Have
- Any other cybersecurity certification such as Security+, CEH, or CISSP
- Any other relevant certification on tools used for large scale data integration and processing.
- Knowledge / experience of Machine Learning
What We Can Offer You
- We’ve been named a Best Place to Work by the Washington Post.
- Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives.
- We offer competitive benefits and learning and development opportunities.
- We are mission-oriented and ever vigilant in aligning our solutions with the nation’s highest priorities.
- For over 60 years, the principles of CACI’s unique, character-based culture have been the driving force behind our success.
Company Overview: At CACI, you will have the opportunity to make an immediate impact by providing information solutions and services in support of national security missions and government transformation for Intelligence, Defense, and Federal Civilian customers. CACI is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other protected characteristic.
