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Job Summary:

We are seeking a Cloud Security Consultant with expertise in AWS and cloud security to provide strategic guidance and solutions to enhance our cybersecurity posture. The ideal candidate will have a strong background in AWS services and security features, relevant certifications, and the ability to communicate effectively with stakeholders.



Key Qualifications:

* Experience in cloud security, specifically with AWS.
* Active security clearance.
* AWS Certified Security and other relevant AWS certifications (e.g., Solutions Architect, DevOps Engineer) are a plus.
* Security certifications such as CISSP, CISM, or CCSP.
* In-depth knowledge of AWS security services including IAM, KMS, VPC, AWS WAF, and AWS Security Hub.
* Experience with AWS features like GuardDuty, Security Hub, CloudWatch, and CloudTrail.
* Proficiency in scripting languages (Python, PowerShell, AWS Lambda).
* Strong problem-solving and analytical skills.
* Excellent communication skills for interacting with technical and non-technical teams.



Key Responsibilities:

* Collaborate with IT leadership and support the CISO in developing effective cloud cybersecurity solutions.
* Provide strategic cloud security guidance based on real-world experience and best practices.
* Work with government leaders and contractors to design and implement secure cloud services.
* Develop and implement a cloud security strategy that meets AWS best practices and FedRAMP standards.
* Maintain a secure AWS architecture, including VPCs and security groups.
* Configure and manage IAM policies for controlled access to AWS resources.
* Advise on encryption methods for data at rest and in transit using AWS services.
* Implement continuous security monitoring and compliance checks.
* Review security assessment packages and deliver concise summaries to leadership.
* Analyze vulnerability scans and security posture, providing actionable insights.



Preferred Background:

* Federal experience, particularly with the Department of Transportation (DOT).
* Familiarity with Appian Cloud Service Provider is a bonus.

Job Title: Data Analyst/ Developer

Location: Remote (light travel)

Salary: Competitive

Role Overview:

The SQL Developer will be the primary data expert on the team, taking over database responsibilities from leadership and developers. This role involves working collaboratively across different teams to provide database expertise, build reports for data visualization, and manage data imports from various external sources.

Role Requirements:

* 3-5 years of experience with PostgreSQL databases (admin and development)
* Experience with Amazon RDS
* Proficiency in PostgreSQL
* Advanced SQL coding skills

Responsibilities:

* Own and manage the company's databases, taking over from other team members
* Assist various business teams in accessing and using data effectively
* Build reports for visualization using tools like QuickSight
* Handle data imports from healthcare partners using formats like CSV, SQL to SQL, and EDI calls
* Pull and manage data to fulfill user requests, primarily in the healthcare space
* Design, configure, and manage database systems
* Work as the sole data professional within the team, collaborating with leadership and developers

Day-to-Day Tasks:

* Managing and maintaining databases, ensuring high performance and accessibility
* Supporting business operations by developing data visualizations and analytical reports
* Collaborating with cross-functional teams to streamline data access and reporting
* Overseeing data import processes and ensuring smooth integration with existing systems
* Responding to and managing data-related requests and issues
* Designing and implementing robust database structures and best practices

Our TOP CLIENT has retained us for a Data Quality Analyst role. They are known and highly recognized for their stability and commitment to a collaborative teamwork environment. The Data Quality Analyst will be responsible acquiring data from primary or secondary sources. This position involves obtaining legacy data from the former billing system, and mapping it to fit the billing system data model.



Location: Remote

Salary: $80K to $90K



Must Have skills:

Strong SQL skills

Python scripting

Database tools like pgAdmin, Toad, or DataGrip

Relational Databases experience (any)



Data collection: Acquiring data from primary or secondary sources.This position involves obtaining legacy data from the former billing system, and mapping it to fit our billing system data model. We sometimes do this ETL work internally, and/or work with ETL partners. Analytical skills are important tool, and just being comfortable working with data files.



* Data interpretation: Using statistical techniques to analyze data and draw logical conclusions.
* Data visualization: Using tools to identify patterns and present findings to stakeholders.
* Report and presentation development: Creating reports and presentations to explain data to stakeholders, IT representatives, and other data analysts.
* Data quality control: Validating and linking data, and providing quality assurance for imported data.
* Data protection: Understanding data protection issues and processing confidential data according to guidelines.
* Confirms project requirements by studying client requirements: collaborating with others on development and project teams.
* Works closely with project managers to understand and maintain focus on their analytics needs, including critical metrics and KPIs, and deliver actionable insights to relevant decision-makers
* Proactively analyze data to answer key questions for stakeholders or yourself, with an eye on what drives business performance, and investigate and communicate which areas need improvement in efficiency and productivity
* Create and maintain rich interactive visualizations through data interpretation and analysis, with reporting components from multiple data sources
* Gather, interpret, and present data to help others understand and solve problems.
* Turn project requirements into custom-formatted reports, and ability to analyze business procedures and recommend specific types of data that can be used to improve upon them.
* Develop, implement, and maintain leading-edge analytics systems, taking complicated problems and building simple frameworks.