
201 - 500 employees
Founded 2008
💼 Consulting
🏥 Healthcare
📦 Logistics
Consulting • Healthcare • Logistics
MKS2 Technologies is a technology business established in 2008 that provides services to the Federal Government and commercial clients. The company focuses on defining missions, employing domain knowledge, formulating strategies, and implementing solutions. Built on values instilled by its founder, a former combat veteran, MKS2 emphasizes long-term relationships and effective communication to ensure project success. They are known for their expertise in IT enterprise solutions and cybersecurity initiatives, serving various clients across the science and technology sectors.
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201 - 500 employees
Founded 2008
💼 Consulting
🏥 Healthcare
📦 Logistics
Consulting • Healthcare • Logistics
MKS2 Technologies is a technology business established in 2008 that provides services to the Federal Government and commercial clients. The company focuses on defining missions, employing domain knowledge, formulating strategies, and implementing solutions. Built on values instilled by its founder, a former combat veteran, MKS2 emphasizes long-term relationships and effective communication to ensure project success. They are known for their expertise in IT enterprise solutions and cybersecurity initiatives, serving various clients across the science and technology sectors.
• Design and implement enterprise data lakehouse architectures using Databricks • Develop scalable ETL pipelines, data integrations, and real-time data processing solutions • Lead Databricks platform optimization, including Delta Lake, Databricks SQL, and Apache Spark workloads • Ensure compliance with federal security and governance requirements, including FedRAMP, FISMA, and NIST standards • Collaborate with stakeholders to define business requirements and translate them into technical solutions • Integrate Databricks with AWS GovCloud, Azure Government, or other federal cloud environments • Support advanced analytics, reporting, and machine learning initiatives utilizing MLflow and related technologies • Provide technical leadership, mentoring, and best practices guidance to engineering teams
• 5+ years of experience in data engineering, data architecture, or large-scale data platforms • 3+ years of hands-on Databricks experience • Strong expertise with Databricks Lakehouse Platform, Delta Lake, Databricks SQL, Apache Spark, and Python, Scala, or Java • Experience with cloud platforms supporting federal environments, including AWS GovCloud and Azure Government • Strong knowledge of ETL development, data modeling, data lakes, and data warehousing • Experience implementing security, governance, and compliance controls in regulated environments • Advanced SQL skills and experience managing large datasets • Strong communication and stakeholder engagement skills • Must be eligible to obtain and maintain a Public Trust clearance or higher • Preferred: CI/CD pipelines and Infrastructure as Code (Terraform, CloudFormation, ARM) • Preferred: Kafka, Azure Event Hubs, AWS Kinesis, or other streaming technologies • Preferred: TensorFlow, PyTorch, Scikit-learn, and MLflow • Preferred: Hadoop, Flink, Elasticsearch, or other Big Data technologies • Preferred: Databricks Certified Professional Data Engineer or related certifications • Preferred: Federal cloud and cybersecurity certifications (CISSP, CCSP, CISM, AWS Security Specialty) • Preferred: Prior federal consulting experience supporting mission-critical data initiatives
• Benefits available • Equal Employment Opportunity / Affirmative Action employer
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