
11 - 50 employees
Founded 2004
💼 Consulting
🎖️ Defense
📦 Logistics
Consulting • Defense • Logistics
Agility Technologies Inc. is a U. S. -based systems integrator and cloud consulting firm that delivers mission-driven digital transformation and IT modernization services primarily for federal and defense agencies, as well as non-profits and commercial clients. The company specializes in low-code/no-code and cloud-native solutions using platforms like Salesforce, MuleSoft, ServiceNow, AWS, Azure, and Tableau, and provides services across architecture, integration, DevSecOps, CI/CD, grants and loan lifecycle management, and cybersecurity/compliance. Agility positions itself as a Salesforce Summit Partner and SBA 8(a) small disadvantaged business focused on secure, scalable enterprise solutions and program delivery for public-sector digital initiatives.
🔥 0 minutes ago
Apache
AWS
Azure
Cloud
Cyber Security
ElasticSearch
ETL
Hadoop
Java
Kafka
NoSQL
Python
PyTorch
Scala
Scikit-Learn
Spark
SQL
Tensorflow
Terraform
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11 - 50 employees
Founded 2004
💼 Consulting
🎖️ Defense
📦 Logistics
Consulting • Defense • Logistics
Agility Technologies Inc. is a U. S. -based systems integrator and cloud consulting firm that delivers mission-driven digital transformation and IT modernization services primarily for federal and defense agencies, as well as non-profits and commercial clients. The company specializes in low-code/no-code and cloud-native solutions using platforms like Salesforce, MuleSoft, ServiceNow, AWS, Azure, and Tableau, and provides services across architecture, integration, DevSecOps, CI/CD, grants and loan lifecycle management, and cybersecurity/compliance. Agility positions itself as a Salesforce Summit Partner and SBA 8(a) small disadvantaged business focused on secure, scalable enterprise solutions and program delivery for public-sector digital initiatives.
• Design and implement scalable Databricks data lakehouse architectures for federal data solutions • Develop and optimize end-to-end data pipelines aligned with federal performance, security, and compliance requirements • Implement data governance and security protocols under federal standards including FedRAMP, FISMA, and NIST • Gather and analyze requirements with federal stakeholders and translate them into actionable data solutions • Integrate Databricks with AWS GovCloud, Azure Government, and other federal cloud platforms • Provide subject matter expertise on Databricks, Delta Lake, Databricks SQL, and Apache Spark • Optimize Databricks clusters for cost efficiency, high availability, and performance • Enable advanced analytics and machine learning workflows using MLflow and related frameworks • Develop real-time data processing solutions for mission-critical federal applications • Monitor federal data policies and align solutions with relevant compliance requirements • Lead cross-functional teams and mentor technical teams on Databricks best practices
• 5–10 years of experience in data engineering, data architecture, or distributed data processing • At least 3+ years of hands-on Databricks experience • Proficiency in Databricks SQL, Delta Lake, and the Lakehouse platform • Expertise in Apache Spark and distributed data processing frameworks • Advanced knowledge of Python, Scala, or Java • Hands-on experience with AWS GovCloud, Azure Government, or Google Cloud Public Sector • Strong knowledge of ETL processes, data workflows, and data transformation pipelines • Strong understanding of data lakes, data warehouses, data modeling, and schema design • Experience implementing data governance and security protocols in regulated environments • Knowledge of FISMA, FedRAMP, NIST 800-53, and CMMC • Experience securing federal data architecture, including encryption and access control • Advanced SQL expertise for querying and managing large relational datasets • Familiarity with NoSQL databases • Ability to lead cross-functional teams delivering complex data solutions • Strong interpersonal and communication skills for engaging federal stakeholders • Experience training and mentoring technical teams on Databricks best practices • Preferred: CI/CD pipelines and Databricks workflow/notebook deployment • Preferred: Infrastructure-as-Code tools such as Terraform, CloudFormation, or ARM templates • Preferred: Machine learning pipelines and Databricks MLflow • Preferred: TensorFlow, PyTorch, or Scikit-learn • Preferred: Kafka, Azure Event Hubs, or AWS Kinesis • Preferred: Hadoop, Flink, or Elasticsearch • Preferred: Real-time analytics and event-driven architectures • Preferred: Preparing technical documentation, reports, and presentations for federal audiences • Advanced Databricks certifications are preferred • Federal cloud and cybersecurity certifications such as AWS Certified Security – Specialty, CCSP, CISSP, or CISM are preferred • Public Trust or higher clearance eligibility and prior federal client experience are preferred
• 401(k) matching • Dental insurance • Health insurance • Paid time off • Parental leave • Vision insurance
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