Data Engineer / Cybersecurity
999 REMOTE
What You’ll Get to Do
Looking for an exciting engineer role from the comfort of your home?
CACI is seeking a Data Engineer with experience in cybersecurity and machine learning to support cybersecurity data collection, analysis, and mitigation. The work will include support for cybersecurity-related projects that encompass automated event identification and incident response, cybersecurity implementation into a Splunk data-lake, analysis of data derived from cybersecurity tools and use the results of that analysis towards developing enhanced and automated queries, and preparation of presentation materials for Government managers.
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.
You will work as a part of the Data Analysis and Data Management team to assist with Data Analysis and Data Quality Management activities, and the creation and update of CDM supporting documents/deliverables for CDM capabilities, working alongside the integration and operations teams. The engineer will also work with the Integration Layer Architecture to develop an approach for expanding the scope of the existing data integration layer to accommodate data from an expanded set of data sources and data fields, as a part of a future solution deployment. You will also continue to ensure the quality of the data deployed into the Elastic Dashboard.
This is a remote position where the candidate can work from any location within the United States, provided they are able to work on an eastern time zone schedule.
More About the Role
- Work with internal and external stakeholders to examine contractual data requirements in order to drive data modeling, pipelines, transformation, normalization, and quality
- Provide expertise regarding data requirements, formats, types, lineage, and quality to brief internal and external stakeholders
- Ensure Cybersecurity principals and best practices are followed while confirming accuracy and improving the overall data quality for CDM
- Analyze raw data from different sources and define consistent and machine-readable formats for the data store
- Develop, document, and communicate processes for seamless data ETL (extraction, transformation, and loading) through Cloud based data services
- Prepare options, levels of effort, and estimates when data requirements change
- Suggest where automation can improve processes and gain efficiencies
- Ensure data integrity, quality, and accessibility within the repository/lake
- Conduct complex data analysis using SQL based searches and instruct developers on how to handle data quality issues
- Explore and implement ways to enhance data quality and reliability and use tools to develop analytical dashboards
- Work with Data Scientists to improve the quality and accuracy of the information enabling stakeholders to make more responsible cyber risk decisions
- Develop and maintain the solution’s data dictionary and data lineage
- Collaborate with technical teams to recommend and implement data governance and data quality improvement initiatives.
- Perform data profiling and analysis to identify data anomalies, inconsistencies, and areas for improvement.
- Stay abreast of emerging trends and advancements in data governance and data quality management to continuously enhance the CDM program.
- Identifies, defines, and addresses problems that are not immediately evident and could be complex.
- Preparation of metrics, reports, briefings, and documentation of deliverables.
- Prepare and document standard operating procedures and protocols for all designed and developed solutions that ensures detailed project documentation
You’ll Bring These Qualifications
- Must be a US citizen and pass a background investigation.
- Able to obtain and maintain a Department of Homeland Security (DHS) Suitability/Entry on Duty (EOD)
- Proven work experience in data governance, data quality, and data engineering roles in support of government programs.
- Expert knowledge of data governance frameworks, principles, and best practices.
- Strong understanding of data quality assessment methodologies and data profiling techniques.
- Experience with vulnerability triaging while determining risks, impacts, recommendations, and remediation.
- Work experience using Cybersecurity principals and best practices while ensuring overall data quality
- Familiarity with data management tools and technologies, such as data cataloging, metadata management, and data quality tools.
- Solid understanding of government data governance policies and regulations, particularly related to cybersecurity and information security.
- Proficiency in data transformation, normalization, and configuration
- Technical expertise in data ingestion and manipulation
- Knowledge of big data platforms and data source formats from APIs (JSON, csv, yaml)
- Familiarity with API integration and data pipelines
- Experience with Axonius, including ingests from a variety of data source types
- Detail-oriented, strong analytical skills, and the ability to combine data from different sources
- Ability to collaborate effectively with cross-functional teams and stakeholders at various levels.
- Excellent analytical and problem-solving skills with a keen attention to detail and ability to work under pressure
- Strong communication and presentation skills to effectively convey complex concepts to both technical and non-technical audiences.
- Self-motivated and able to work independently or as part of a team in a fast-paced environment.
- Ability to multi-task in a fast-paced environment with multiple deadlines is essential
- Elastic Certified Analyst
- Relevant certifications in data governance and data quality management (or cyber security, such as Security+) are a plus.
- Data analytics experience in Cloud environments
- BS degree in Computer Science, Mathematics, Data Science, Data Management, or related field
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
- Data engineering or data analyst certification
- Experience with Data Lakes, Data Warehouses, or Data Lakehouse
- Understanding of cybersecurity tools such as vulnerability (CVE) scanners, software scanners, mobile and network host discovery scanners, and other tools in order to understand source data
- Familiarity with federal cybersecurity concepts such as Vulnerabilities, DISA STIGs, NIST, FISMA, Risk Management Framework, and MITRE ATT&CK Framework
- Knowledge of programming languages (e.g., Python, PowerShell)
- Experience with data compression, data deduplication.
- Experience with Elasticsearch with Kibana Dashboards.
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What You Can Expect:
A culture of integrity.
At CACI, we place character and innovation at the center of everything we do. As a valued team member, you’ll be part of a high-performing group dedicated to our customer’s missions and driven by a higher purpose – to ensure the safety of our nation.
An environment of trust.
CACI takes pride in fostering a diverse and accessible culture where every individual feels supported to chart their own path. You’ll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality.
A focus on continuous growth.
Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground — in your career and in our legacy.
Your potential is limitless. So is ours.
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Pay Range: There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications. Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives. We offer competitive compensation, benefits and learning and development opportunities. Our broad and competitive mix of benefits options is designed to support and protect employees and their families. At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits. Learn more here.
Since this position can be worked in more than one location, the range shown is the national average for the position.
The proposed salary range for this position is:
$89,500-$188,000CACI is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, age, national origin, disability, status as a protected veteran, or any other protected characteristic.
ApplyJob Profile
Must work on Eastern Time Zone schedule Remote Travel required
Benefits/PerksAccess to robust learning resources Autonomy Competitive compensation Comprehensive benefits Continuing education Culture of integrity Diverse and accessible culture Environment of trust Family support Financial Flexibility Flexible time off Focus on continuous growth Healthcare Learning and development opportunities Learning resources Retirement Robust learning resources Unique flexible time off Wellness
Tasks- Analyze data from cybersecurity tools
- Collaborate with stakeholders
- Conduct complex data analysis
- Configuration
- Continuous monitoring
- Data Analysis
- Data integration
- Develop automated queries
- Documentation
- Ensure data quality and integrity
- Prepare presentation materials
- Support cybersecurity data collection
Access Accessibility Analytical Analytics API Integration APIs Automation Axonius Background investigation Big Data Cloud Cloud environments Cloud Services Communication Configuration Continuous Monitoring Cybersecurity Cyber Security Data analysis Data engineering Data Governance Data Integration Data integrity Data Management Data Modeling Data Normalization Data Quality Management Data Science Data Transformation Documentation Elastic Dashboard ElasticSearch Engineering ETL FISMA Implementation Incident Response Information security Information Technology Innovation Integration Investigation JSON Kibana Machine Learning Make Metrics Monitoring NIST PowerShell Presentation Problem-solving Programming Programming languages Project Python Risk Management Risk Management Framework Security Splunk SQL Teams YAML
EducationAnalytical Business Computer Science Data Analytics Data Engineering Engineering Information Technology Management Mathematics Related Field
Certifications TimezonesAmerica/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9