&lt;div&gt;
&lt;p&gt;&lt;strong&gt;Dark Wolf Solutions&lt;/strong&gt;&lt;span style=&quot;font-weight: 400;&quot;&gt;&amp;nbsp;is looking for a&amp;nbsp;&lt;/span&gt;&lt;strong&gt;Data Analyst &lt;/strong&gt;to join our team. The ideal candidate will be skilled in using existing data to find patterns, commonalities, trends, and make predictions to enable data-driven decision making.&amp;nbsp; The selected candidate must be comfortable communicating with a wide range of stakeholders and functional teams and be able to write clear reports.&amp;nbsp; The candidate must be able to work independently and within a team environment. &amp;nbsp;We are seeking a respected leader who demonstrates excellent communication skills, and aligns with our company&#39;s core values. This position requires hybrid support in Tampa, FL. Key responsibilities may include but are not limited to:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Working closely with other Data Analysts to define and oversee database organization, standards, controls, procedures and documentation&lt;/li&gt;
&lt;li&gt;Providing technical consulting in the definition of data environments&lt;/li&gt;
&lt;li&gt;Collaborating with application development staff on solutions to business problems and database management system capabilities&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Required Qualifications:&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;5+ years of relevant experience in Data Analysis/Science&lt;/li&gt;
&lt;li&gt;Experience with data management and analysis&lt;/li&gt;
&lt;li&gt;Experience visualizing/presenting data for stakeholders using Tableau and/or other data visualization tools&lt;/li&gt;
&lt;li&gt;Bachelor’s in Statistics, Mathematics, Computer Science or another related field&lt;/li&gt;
&lt;li&gt;&lt;strong&gt;&lt;strong&gt;&lt;strong&gt;US Citizenship and an active DoD Top Secret security clearance or higher&lt;/strong&gt;&lt;/strong&gt;&lt;/strong&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Desired Qualifications: &lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Experience as a data scientist or relevant experience&lt;/li&gt;
&lt;li&gt;Experience with developing data models and algorithms to apply to data sets&lt;/li&gt;
&lt;li&gt;Experience with databases and statistical computer languages with statistical computer languages such as Python, SQL, R, etc. or willingness to learn&lt;/li&gt;
&lt;li&gt;Understanding of Agile project management approach &lt;/li&gt;
&lt;/ul&gt;
&lt;/div&gt;
&lt;div&gt;This position is 5 days a week on site in Tampa, FL.&amp;nbsp;&lt;br&gt;&lt;br&gt;The salary range for this position is estimated to be between $80,000.00 - $120,000.00, commensurate on experience and technical skillset.&lt;/div&gt;
&lt;div&gt;&lt;br&gt;We are proud to be an EEO/AA employer Minorities/Women/Veterans/Disabled and other protected categories.&lt;br&gt;&lt;br&gt;In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.&lt;/div&gt;

Data Analyst

&lt;p&gt;&lt;strong&gt;Dark Wolf Solutions&lt;/strong&gt; is seeking a driven and innovative &lt;strong&gt;Data&lt;/strong&gt; &lt;strong&gt;Engineer&lt;/strong&gt; to join our team in &lt;strong&gt;Tampa, FL &lt;/strong&gt;in support of a new proposal effort. As a Data Engineer, you will be instrumental in building and maintaining the data infrastructure that powers our AI/ML models&lt;strong&gt;, &lt;/strong&gt;working alongside experienced professionals and shaping the future of this initiative. This position requires on-site support at &lt;strong&gt;MacDill Air Force Base&lt;/strong&gt; in Tampa, FL.&lt;strong&gt;&amp;nbsp;&lt;/strong&gt;Key responsibilities include, but are not limited to:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Enabling AI/ML Data pipelines as part of an AI/ML Data Factory.&lt;/li&gt;
&lt;li&gt;Testing and validating the performance of the AI/ML Data Factory.&lt;/li&gt;
&lt;li&gt;Designing, developing, and maintaining robust and scalable data pipelines in support the AI/ML Data Factory.&lt;/li&gt;
&lt;li&gt;Testing and validating the performance of the AI/ML Data Factory to ensure data quality and reliability.&lt;/li&gt;
&lt;li&gt;Assist with data acquisition, ingestion, and tagging; data exploration and understanding; feature extraction and analysis; data engineering and conditioning; and data labeling.&lt;/li&gt;
&lt;li&gt;Constructing AI/ML datasets, ensuring they meet the specific requirements of our AI/ML models.&lt;/li&gt;
&lt;li&gt;Building edge-compatible pipelines using NVIDIA Triton Inference Server, TorchServe, or TF Lite to enable AI-as-a-service in contested and disconnected networks.&lt;/li&gt;
&lt;li&gt;Deploying containerized AI workloads using Docker, K3s, and Istio across Zero Trust micro-segmented environments following NSA Kubernetes STIG guidance.&lt;/li&gt;
&lt;li&gt;Designing data acquisition and preprocessing workflows with Apache Kafka, Airbyte, and Apache NiFi for ingesting telemetry, EO/IR, and SIGINT sources into LLM/LVM training pipelines.&amp;nbsp;&lt;/li&gt;
&lt;li&gt;Using Elastic Stack, OpenSearch, and Neo4j to store, search, and graph-represent AI-extracted insights within a mission-relevant knowledge base.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;Required Qualifications:&amp;nbsp;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;5+ years of experience performing data engineering efforts to include: data architecture, modeling, cleansing, ingesting, updating, and visualization&lt;/li&gt;
&lt;li&gt;2+ years of experience working with Cloud environments&lt;/li&gt;
&lt;li&gt;1+ year experience using scripting languages such as R, Python, or Javascript&lt;/li&gt;
&lt;li&gt;1+ years experience using Big Data technologies and tools (e.g. Spark, Hadoop, Hive, Cassandra, Druid, Flink, Drill, Trino, NoSQL)&lt;/li&gt;
&lt;li&gt;Experience with a variety of open source and commercial ETL tools for preparing and loading data for AI/ML analytics&lt;/li&gt;
&lt;li&gt;Ability to manipulate raw data into effective visualization dashboards Ability to communicate end to end data outcomes visually&lt;/li&gt;
&lt;li&gt;Demonstrates a deep understanding of multiple database concepts&lt;/li&gt;
&lt;li&gt;Understanding of SQL&lt;/li&gt;
&lt;li&gt;Comfortable in a project startup environment&amp;nbsp;&lt;/li&gt;
&lt;li&gt;Bachelor’s degree in Computer Science, Information Technology, or a related field&lt;/li&gt;
&lt;li style=&quot;font-weight: bold;&quot;&gt;&lt;strong&gt;US Citizenship and an active Top Secret security clearance required&lt;/strong&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;Desired Qualifications:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Master’s degree in Information Systems, Computer Science, Engineering, or related field, or the equivalent combination of education, training and experience&lt;/li&gt;
&lt;li&gt;A cloud certification in AWS, Azure, or GCP&lt;/li&gt;
&lt;/ul&gt;
&lt;div&gt;
&lt;p&gt;This position is located in &lt;strong&gt;Tampa, FL&lt;/strong&gt;. The estimated salary range for this position is $120,000.00 - $200,000.00, commensurate on experience and technical skillset.&lt;/p&gt;
&lt;/div&gt;
&lt;div&gt;We are proud to be an EEO/AA employer Minorities/Women/Veterans/Disabled and other protected categories.&lt;br&gt;&lt;br&gt;In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.&lt;/div&gt;

Data Engineer

&lt;p&gt;&lt;strong&gt;Dark Wolf Solutions&lt;/strong&gt; is seeking a driven and innovative &lt;strong&gt;AI/ML Engineer&lt;/strong&gt; to join our team in &lt;strong&gt;Tampa, FL&lt;/strong&gt;. The successful candidate will play a key role in developing innovative AI/ML solutions that directly support a critical mission for a key DoD customer. The AI/ML Engineer instrumental in designing, implementing, and deploying advanced AI/ML models for a cutting-edge project, working alongside experienced professionals and shaping the future of this initiative. This position requires on-site support at &lt;strong&gt;MacDill Air Force Base&lt;/strong&gt; in Tampa, FL.&lt;strong&gt;&amp;nbsp;&lt;/strong&gt;Key responsibilities include, but are not limited to:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Enabling AI/ML Data pipelines as part of an AI/ML Data Factory.&lt;/li&gt;
&lt;li&gt;Testing and validating the performance of the AI/ML Data Factory.&lt;/li&gt;
&lt;li&gt;Assisting with data acquisition, ingestion, and tagging; data exploration and understanding; feature extraction and analysis; data engineering and conditioning; data labeling; and constructing, training, and validating AI/ML Datasets.&lt;/li&gt;
&lt;li&gt;Implementing and fine-tuning LLMs (e.g., OpenLLM, Falcon, Mistral, LLaMA, GPT-NeoX) using frameworks like Hugging Face Transformers, DeepSpeed, and LoRA/QLoRA for parameter-efficient tuning.&lt;/li&gt;
&lt;li&gt;Train and deploy LVMs (e.g., SAM, CLIP, DINOv2, YOLOv8) using PyTorch, Detectron2, or OpenCV for ISR and geospatial intelligence fusion, while emphasizing the critical importance of acquiring, sanitizing, and curating high-quality datasets to ensure effective model training and real-world applicability.&lt;/li&gt;
&lt;li&gt;Utilizing ONNX Runtime, TensorRT, and OpenVINO for quantization and hardware-accelerated inference on edge devices (e.g., NVIDIA Jetson, Intel Movidius, ARM-based SOCs).&lt;/li&gt;
&lt;li&gt;Leveraging Ray, Kubeflow, or MLflow to orchestrate distributed training and model lifecycle management across hybrid environments (cloud/tactical edge).&amp;nbsp;&lt;/li&gt;
&lt;li&gt;Integrating AI analytics with TAK, ATAK plugins, WebTAK Plugins, and WinTAK to enrich Common Operating Pictures.&lt;/li&gt;
&lt;li&gt;Building edge-compatible pipelines using NVIDIA Triton Inference Server, TorchServe, or TF Lite to enable AI-as-a-service in contested and disconnected networks.&lt;/li&gt;
&lt;li&gt;Deploying containerized AI workloads using Docker, K3s, and Istio across Zero Trust micro-segmented environments following NSA Kubernetes STIG guidance.&lt;/li&gt;
&lt;li&gt;Implementing multimodal fusion and prompt engineering with LangChain, Haystack, or Lamini to build interactive agents capable of natural-language responses based on live mission data.&lt;/li&gt;
&lt;li&gt;Applying Federated Learning and SWA (Stochastic Weight Averaging) to allow for decentralized model training across secure enclaves or forward-operating nodes.&lt;/li&gt;
&lt;li&gt;Hardening model integrity and reliability with Adversarial Robustness Toolbox (ART), MLFlow Audit Trails, and compliance with DoD AI Ethical Principles.&lt;/li&gt;
&lt;li&gt;Designing data acquisition and preprocessing workflows with Apache Kafka, Airbyte, and Apache NiFi for ingesting telemetry, EO/IR, and SIGINT sources into LLM/LVM training pipelines.&amp;nbsp;&lt;/li&gt;
&lt;li&gt;Using Elastic Stack, OpenSearch, and Neo4j to store, search, and graph-represent AI-extracted insights within a mission-relevant knowledge base.&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;Required Qualifications:&amp;nbsp;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;5+ years of experience performing data engineering efforts to include: data architecture, modeling, cleansing, ingesting, updating, and visualization&lt;/li&gt;
&lt;li&gt;2+ years of experience working with Cloud environments&lt;/li&gt;
&lt;li&gt;1+ year experience using scripting languages such as R, Python, or Javascript&lt;/li&gt;
&lt;li&gt;1+ years experience using Big Data technologies and tools (e.g. Spark, Hadoop, Hive, Cassandra, Druid, Flink, Drill, Trino, NoSQL)&lt;/li&gt;
&lt;li&gt;Experience with a variety of open source and commercial ETL tools for preparing and loading data for AI/ML analytics&lt;/li&gt;
&lt;li&gt;Ability to manipulate raw data into effective visualization dashboards Ability to communicate end to end data outcomes visually&lt;/li&gt;
&lt;li&gt;Demonstrates a deep understanding of multiple database concepts&lt;/li&gt;
&lt;li&gt;Understanding of SQL&lt;/li&gt;
&lt;li&gt;Comfortable in a project startup environment&amp;nbsp;&lt;/li&gt;
&lt;li&gt;Bachelor’s degree in Computer Science, Information Technology, or a related field&lt;/li&gt;
&lt;li style=&quot;font-weight: bold;&quot;&gt;&lt;strong&gt;US Citizenship and an active Top Secret security clearance required&lt;/strong&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;Desired Qualifications:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Master’s degree in Information Systems, Computer Science, Engineering, or related field, or the equivalent combination of education, training and experience&lt;/li&gt;
&lt;li&gt;A cloud certification in AWS, Azure, or GCP&lt;/li&gt;
&lt;/ul&gt;
&lt;div&gt;
&lt;p&gt;This position is located in &lt;strong&gt;Tampa, FL&lt;/strong&gt;. The estimated salary range for this position is $150,000.00 - $200,000.00, commensurate on experience and technical skillset.&lt;/p&gt;
&lt;/div&gt;
&lt;div&gt;We are proud to be an EEO/AA employer Minorities/Women/Veterans/Disabled and other protected categories.&lt;br&gt;&lt;br&gt;In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.&lt;/div&gt;

AI/ML Engineer

&lt;p&gt;&lt;strong&gt;Dark Wolf Solutions&lt;/strong&gt; is seeking a highly motivated and experienced &lt;strong&gt;Data Scientist&lt;/strong&gt; to join our team and contribute to the development and optimization of our Data/ML Platform. In this role, you will be instrumental in building, testing, and validating data pipelines that enable the creation and deployment of cutting-edge AI/ML. You will work collaboratively with a team of data engineers and AI/ML specialists to ensure the quality, accessibility, and performance of our data assets for a key government customer based&amp;nbsp;in &lt;strong&gt;Tampa, FL&lt;/strong&gt;. Tasks may include, but are not limited to:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Testing and validating the performance of ML models&lt;/li&gt;
&lt;li&gt;Assisting with data acquisition, ingestion, and tagging.&amp;nbsp;&lt;/li&gt;
&lt;li&gt;Data exploration and understanding to identify valuable insights.&lt;/li&gt;
&lt;li&gt;Feature extraction and analysis to engineer effective AI/ML models.&amp;nbsp;&lt;/li&gt;
&lt;li&gt;Data engineering and conditioning to ensure data quality and consistency.&lt;/li&gt;
&lt;li&gt;Data labeling to create high-quality training datasets.&lt;/li&gt;
&lt;li&gt;Constructing, training, and validating AI/ML datasets.&amp;nbsp;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&lt;strong&gt;Required Qualifications&lt;/strong&gt;:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;5+ years of experience performing data science activities to include: data exploration, feature engineering, model building, training, and validation.&lt;/li&gt;
&lt;li&gt;2+ years of experience working with Cloud environments (AWS, Azure, GCP).&lt;/li&gt;
&lt;li&gt;1+ year experience using scripting languages such as R or Python for data analysis and model development.&lt;/li&gt;
&lt;li&gt;1+ years experience using Big Data technologies and tools (e.g. Spark, Hadoop, Hive, Cassandra, Druid, Flink, Drill, Trino, NoSQL) for large-scale data processing.&lt;/li&gt;
&lt;li&gt;Experience with a variety of open source and commercial AI/ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn).&lt;/li&gt;
&lt;li&gt;Ability to manipulate raw data into effective visualizations and actionable insights. Ability to communicate end-to-end data outcomes visually to both technical and non-technical audiences.&lt;/li&gt;
&lt;li&gt;Demonstrates a deep understanding of statistical modeling, machine learning algorithms, and data mining techniques.&lt;/li&gt;
&lt;li&gt;Strong understanding of SQL and experience querying relational databases. Comfortable in a project startup environment, demonstrating adaptability and initiative.&lt;/li&gt;
&lt;li style=&quot;font-weight: bold;&quot;&gt;&lt;strong&gt;US Citizenship and an active TS/SCI clearance&lt;/strong&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;Desired Qualifications:&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Master’s degree or Ph.D. in Statistics, Mathematics, Computer Science, Engineering, or related field, or the equivalent combination of education, training and experience.&lt;/li&gt;
&lt;li&gt;A Data Science Certification OR a cloud certification in AWS, Azure, or GCP focused on data science or AI/ML services.&lt;/li&gt;
&lt;li&gt;Previous experience supporting the DoD. Bachelor&#39;s Degree in Computer Science, Mathematics, or equivalent technical degree; or in lieu of degree, 3 years of equivalent industry experience.&lt;/li&gt;
&lt;/ul&gt;
&lt;div&gt;
&lt;p&gt;This position is located in &lt;strong&gt;Tampa, FL&lt;/strong&gt;. The estimated salary range for this position is $130,000.00 - $200,000.00, commensurate on experience and technical skillset.&lt;/p&gt;
&lt;/div&gt;
&lt;div&gt;We are proud to be an EEO/AA employer Minorities/Women/Veterans/Disabled and other protected categories.&lt;br&gt;&lt;br&gt;In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.&lt;/div&gt;

Data Scientist

&lt;div&gt;
&lt;p data-sourcepos=&quot;3:1-3:414&quot;&gt;&lt;strong&gt;Dark Wolf Solutions&lt;/strong&gt;&amp;nbsp;is seeking a highly motivated and experienced&amp;nbsp;&lt;strong&gt;Data Engineer&lt;/strong&gt; to assist with strategic planning and oversee implementation of the cloud-based data environment. The work includes engaging regularly with data scientists, analysts, and managers. This role is located in Chantilly, VA.&lt;/p&gt;
&lt;p data-sourcepos=&quot;3:1-3:414&quot;&gt;&lt;strong&gt;Responsibilities:&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Providing comprehensive support to analysts by delivering large datasets, methodologies, and impactful data visualizations to address critical intelligence needs.&lt;/li&gt;
&lt;li&gt;Aiding in the development and maintenance of a robust cloud-based data environment for efficient data transport, storage, ETL processes, and solution dissemination.&lt;/li&gt;
&lt;li&gt;Assisting in data engineering, cloud architecture design, and application development efforts, contributing to the overall success of projects.&lt;/li&gt;
&lt;li data-sourcepos=&quot;3:1-3:414&quot;&gt;Engaging regularly with data scientists, analysts, and managers.&amp;nbsp;&lt;/li&gt;
&lt;li data-sourcepos=&quot;3:1-3:414&quot;&gt;Assisting with strategic planning and oversee implementation of the cloud-based data environment, to include mapping of data sources and access controls.&lt;/li&gt;
&lt;li data-sourcepos=&quot;3:1-3:414&quot;&gt;Developing code, data models, and documentation to standards; providing systems administration and programming support for ETL processes and data infrastructure efforts; and training and conducting knowledge transfer to team members on issues and technologies related to the ETL process, on premise high capacity compute cluster, and administrative duties.&amp;nbsp;&lt;/li&gt;
&lt;li data-sourcepos=&quot;3:1-3:414&quot;&gt;Coordinating with external data and platform providers to ensure the smooth functioning of the systems and data flows, and to accomplish any needed changes and coordinate with experts to assist with technical aspects required to acquire new datasets or data management technologies for inclusion in the environment.&lt;/li&gt;
&lt;li data-sourcepos=&quot;3:1-3:414&quot;&gt;Supporting the cross-domain transfer and integration of data.&lt;/li&gt;
&lt;li data-sourcepos=&quot;3:1-3:414&quot;&gt;Assisting with strategic planning and oversee implementation of the cloud-based data environment, to include mapping of data sources and access controls.&lt;/li&gt;
&lt;li data-sourcepos=&quot;3:1-3:414&quot;&gt;Developing code, data models, and documentation to standards.&lt;/li&gt;
&lt;li data-sourcepos=&quot;3:1-3:414&quot;&gt;Providing systems administration and programming support for ETL processes and data infrastructure efforts.&lt;/li&gt;
&lt;li data-sourcepos=&quot;3:1-3:414&quot;&gt;Training and conducting knowledge transfer to team members on issues and technologies related to the ETL process, on premise high capacity compute cluster, and administrative duties.&lt;/li&gt;
&lt;li data-sourcepos=&quot;3:1-3:414&quot;&gt;Coordinating with external data and platform providers to ensure the smooth functioning of the systems and data flows, and to accomplish any needed changes.&lt;/li&gt;
&lt;li data-sourcepos=&quot;3:1-3:414&quot;&gt;Coordinating with experts to assist with technical aspects required to acquire new datasets or data management technologies for inclusion in the environment.&lt;/li&gt;
&lt;li data-sourcepos=&quot;3:1-3:414&quot;&gt;Supporting the cross-domain transfer and integration of data, to include using on-premises cluster, cloud environment, and SQL-based systems such as PostgreSQL and Impala.&lt;/li&gt;
&lt;/ul&gt;
&lt;p data-sourcepos=&quot;19:1-19:28&quot;&gt;&lt;strong&gt;Required Qualifications:&lt;/strong&gt;&lt;/p&gt;
&lt;ul data-sourcepos=&quot;21:1-27:0&quot;&gt;
&lt;li&gt;Effectively facilitates communication and collaboration as a technical liaison between system engineers, data engineers, data scientists, analysts, and non-technical managers/personnel.&lt;/li&gt;
&lt;li&gt;Proficient in utilizing AWS cloud services, including long-term storage solutions and cloud-based database services like Databricks and Elastic MapReduce (EMR).&lt;/li&gt;
&lt;li&gt;Experienced in designing and implementing SQL database structures and mappings between databases.&lt;/li&gt;
&lt;li&gt;Knowledgeable in network-attached storage (NAS) systems and their implementation.&lt;/li&gt;
&lt;li&gt;Skilled in creating and maintaining automated deployment scripts for streamlined software releases.&lt;/li&gt;
&lt;li&gt;Expert in managing and executing large-scale data migration projects, ensuring data integrity and minimal disruption.&lt;/li&gt;
&lt;li&gt;Hands-on experience with large-scale data compute and processing clusters such as Hadoop, optimizing performance and scalability.&lt;/li&gt;
&lt;li&gt;Adept at test-driven development within a secure on-premise cluster, selecting and employing the most efficient languages for the task, including Apache NiFi, Java, Python, and SQL.&lt;/li&gt;
&lt;li&gt;In-depth understanding of database architecture and performance design methodologies, providing system-tuning recommendations for technologies like Hadoop Hive, Apache NiFi, and Impala.&lt;/li&gt;
&lt;li&gt;Continuously improves and maintains the ETL process through the implementation and standardization of data flows using Apache NiFi and other ETL tools.&lt;/li&gt;
&lt;li data-sourcepos=&quot;25:1-25:27&quot;&gt;&lt;strong&gt;US Citizen with an active Top Secret/Sensitive Compartmented Information (TS/SCI) security clearance with polygraph.&lt;/strong&gt;&lt;/li&gt;
&lt;/ul&gt;
&lt;p data-sourcepos=&quot;28:1-28:27&quot;&gt;&lt;strong&gt;Desired Qualifications:&lt;/strong&gt;&lt;/p&gt;
&lt;ul data-sourcepos=&quot;30:1-39:0&quot;&gt;
&lt;li&gt;Possesses in-depth knowledge of the data environment and on-premises compute infrastructure.&lt;/li&gt;
&lt;li&gt;Proficient in storage and backup recovery systems, ensuring data availability and integrity.&lt;/li&gt;
&lt;li&gt;Experienced with Data Quality and Data Governance concepts, implementing best practices for data management.&lt;/li&gt;
&lt;li&gt;Skilled in System Administration and Linux Administration, maintaining system stability and performance.&lt;/li&gt;
&lt;li&gt;Adept at transforming data using High Capacity Compute (HCC) techniques to derive valuable insights.&lt;/li&gt;
&lt;li&gt;Experienced in administering system rights and responsibilities for the on-premises cluster and cloud infrastructure, ensuring secure access and resource allocation.&lt;/li&gt;
&lt;/ul&gt;
&lt;/div&gt;
&lt;div&gt;
&lt;div&gt;This position is located in Chantilly, VA.&lt;/div&gt;
&lt;div&gt;&amp;nbsp;&lt;/div&gt;
&lt;div&gt;The estimated salary range for this position is $170,000.00 - $210,000.00, commensurate on Clearance, technical skillset and overall experience.&amp;nbsp;&lt;/div&gt;
&lt;div&gt;&amp;nbsp;&lt;/div&gt;
&lt;div&gt;We are proud to be an EEO/AA employer Minorities/Women/Veterans/Disabled and other protected categories.&lt;br&gt;&lt;br&gt;In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.&lt;/div&gt;
&lt;/div&gt;

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