&lt;div class=&quot;content-intro&quot;&gt;&lt;p&gt;&lt;em&gt;Barbaricum is a rapidly growing government contractor providing leading-edge support to federal customers, with a particular focus on Defense and National Security mission sets. We leverage more than 17 years of support to stakeholders across the federal government, with established and growing capabilities across Intelligence, Analytics, Engineering, Mission Support, and Communications disciplines. Founded in 2008, our mission is to transform the way our customers approach constantly changing and complex problem sets by bringing to bear the latest in technology and the highest caliber of talent.&lt;/em&gt;&lt;/p&gt;
&lt;p&gt;&lt;em&gt;Headquartered in Washington, DC&#39;s historic Dupont Circle neighborhood, Barbaricum also has a corporate presence in Tampa, FL, Bedford, IN, and Dayton, OH, with team members across the United States and around the world. As a leader in our space, we partner with firms in the private sector, academic institutions, and industry associations with a goal of continually building our expertise and capabilities for the benefit of our employees and the customers we support. Through all of this, we have built a vibrant corporate culture diverse in expertise and perspectives with a focus on collaboration and innovation. Our teams are at the frontier of the Nation&#39;s most complex and rewarding challenges. Join our team.&lt;/em&gt;&lt;/p&gt;&lt;/div&gt;&lt;p&gt;The Data Engineer will build scalable pipelines and data models, implement ETL workflows, and help ensure enterprise data is reliable, accessible, and secure. You will work closely with data scientists, analysts, engineers, and stakeholders to translate mission and business needs into high-quality data solutions and actionable insights.&lt;/p&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Responsibilities:&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Build and maintain scalable, reliable data pipelines to collect, process, and store data from multiple sources&lt;/li&gt;
&lt;li&gt;Design and implement ETL processes to support analytics, reporting, and operational needs&lt;/li&gt;
&lt;li&gt;Develop and maintain data models, schemas, and standards to support enterprise data usage&lt;/li&gt;
&lt;li&gt;Collaborate with data scientists, analysts, and stakeholders to understand requirements and deliver solutions&lt;/li&gt;
&lt;li&gt;Analyze large datasets to identify trends, patterns, and actionable insights&lt;/li&gt;
&lt;li&gt;Present findings and recommendations through dashboards, reports, and visualizations&lt;/li&gt;
&lt;li&gt;Optimize database and pipeline performance for scalability and reliability across large datasets&lt;/li&gt;
&lt;li&gt;Monitor and troubleshoot pipeline issues to minimize downtime and improve system resilience&lt;/li&gt;
&lt;li&gt;Implement data quality checks, validation routines, and integrity controls&lt;/li&gt;
&lt;li&gt;Implement security measures to protect data and systems from unauthorized access&lt;/li&gt;
&lt;li&gt;Ensure compliance with data governance policies, security standards, and applicable regulatory requirements (e.g., GDPR, HIPAA as applicable)&lt;/li&gt;
&lt;li&gt;Establish best practices for data management, governance, and secure handling of sensitive information&lt;/li&gt;
&lt;li&gt;Stay current on relevant tools and emerging technologies to strengthen engineering and analytical capabilities&lt;/li&gt;
&lt;li&gt;Identify opportunities to improve workflows for data ingestion, processing, and analysis&lt;/li&gt;
&lt;li&gt;Evaluate and recommend tools, platforms, and data management solutions aligned to organizational goals&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;Active DoD TS/SCI clearance (required or pending verification)&lt;/li&gt;
&lt;li&gt;Bachelor’s degree in Computer Science, Data Science, Engineering, or related field (or equivalent experience) OR CSSLP / CISSP-ISSAP&lt;/li&gt;
&lt;li&gt;Strong programming skills in Python, Java, or Scala&lt;/li&gt;
&lt;li&gt;Strong SQL skills; familiarity with analytics languages/tools such as R&lt;/li&gt;
&lt;li&gt;Experience with data processing frameworks (e.g., Apache Spark, Hadoop) and orchestration tools (e.g., Airflow)&lt;/li&gt;
&lt;li&gt;Familiarity with cloud-based data services (e.g., AWS Redshift, Google BigQuery, Azure Data Factory)&lt;/li&gt;
&lt;li&gt;Experience with data modeling, database design, and data architecture concepts&lt;/li&gt;
&lt;li&gt;Strong analytical and problem-solving skills with attention to detail&lt;/li&gt;
&lt;li&gt;Strong written and verbal communication skills; ability to collaborate across technical and non-technical teams&lt;/li&gt;
&lt;/ul&gt;
&lt;p&gt;&amp;nbsp;&lt;/p&gt;
&lt;p&gt;&lt;strong&gt;Desired Qualifications:&lt;/strong&gt;&lt;/p&gt;
&lt;ul&gt;
&lt;li&gt;Master’s degree and/or certifications (e.g., AWS Certified Data Analytics, DAMA CDMP)&lt;/li&gt;
&lt;li&gt;Experience with big data and streaming platforms (e.g., Kafka, Spark, Flink)&lt;/li&gt;
&lt;li&gt;Experience with containerization (Docker, Kubernetes)&lt;/li&gt;
&lt;li&gt;Familiarity with ML pipelines and data science workflows&lt;/li&gt;
&lt;li&gt;Knowledge of enterprise architecture frameworks (e.g., TOGAF)&lt;/li&gt;
&lt;/ul&gt;&lt;div class=&quot;content-conclusion&quot;&gt;&lt;p&gt;&lt;strong&gt;EEO Commitment&lt;/strong&gt;&lt;/p&gt;
&lt;p&gt;All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law.&lt;br&gt;&lt;/p&gt;&lt;/div&gt;

Senior Data Engineer

Program Analyst

Board Certified Behavior Analyst

&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;

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