In a world of possibilities, pursue one with endless opportunities. Imagine Next!

 

At Parsons, you can imagine a career where you thrive, work with exceptional people, and be yourself. Guided by our leadership vision of valuing people, embracing agility, and fostering growth, we cultivate an innovative culture that empowers you to achieve your full potential. Unleash your talent and redefine what’s possible.

 

Job Description:

Parsons is looking for an amazingly talented Senior Systems Analyst to join our team! In this role you will support MDA's Next Generation Software Office for the development of data pipelines, querying of databases, and optimization of dashboards in cloud-based environments.

What You'll Be Doing:

• Implement continuous integration, delivery and deployment best practices
• Automate data quality testing, and version-controlled transformation workflows across pipeline components
• Work with the government lead to develop and maintain centralized enterprise data dictionaries with table structures, schemas, column-level definitions, data types, and business rules
• Develop procedures for data lake ingestion, database access controls, pipeline troubleshooting, and disaster recovery
• Interface with cybersecurity and system administrators to enforce strict DoW security protocols, including Role-Based Access Controls (RBAC), Identity and Access Management (IAM) boundaries, and zero-trust principles
• Work with government agencies, prime contractors, and other stakeholders to define data governance standards and build resilient, automated data flows to deliver optimal solutions

What Required Skills You'll Bring:

• Active Secret clearance with the ability to obtain a Top Secret (SCI) clearance
• Bachelor's Degree in a STEM (Science, Technology, Engineering, Mathematics) or related field, or equivalent work experience that meets guidelines established for job and 8+ years of related professional experience
  • Master's Degree or equivalent, may be preferred at this level
• Knowledge of Cloud-native Extract, Transform, Load/Extract, Load, Transform pipelines using managed cloud utilities (e.g., AWS Glue, Azure Data Factory) to transform raw data into analyst-ready, curated layers
• Experience using SQL/T-SQL to write queries, window functions, and stored procedures for cloud data warehouses (e.g., Snowflake, AWS Redshift, Azure Synapse)
• Experience using Python for writing resilient data collection, API integration, and ingestion automation scripts
• Knowledge of government financial operations, with experience tracking and analyzing cloud infrastructure billing metrics, database utilization, and executing cost optimization strategies with proven capability to produce professional data dictionaries, an end-to-end data lineage diagrams
• Ability to develop data dictionaries which define tables columns, data types, tagging of data payloads with machine-readable metadata and business rules
• Ability to communicate complex technical concepts clearly to both technical teams and senior military/government leadership
• Knowledge with cloud-based data lake concepts, distributed cloud storage architectures (e.g., AWS S3, Azure Blob) and DoW security protocols (IAM policies, least-privilege access, encryption at rest/in transit within IL5/6 and CUI parameters)

What Desired Skills You'll Bring:

• Master's Degree and 12+ years of relevant experience or a Bachelor's Degree and 20+ years of relevant experience
• Experience establishing DataOps and GitOps methodologies, incorporating automated linting, test-driven data development, and blue/green or canary pipeline deployments
• Ability to develop visual and written flows showing where raw data originates, how it is transformed and where it is displayed
• Experience developing reports and dashboards using cloud-native BI solutions (AWS Quick Sight, Microsoft Power BI service, tableau cloud) connected to live cloud data sources
• Exposure to Artificial Intelligence (AI) and Machine Learning (ML) model operations (MLOps) integrated with enterprise data lakes (e.g., AWS SageMaker, Azure ML)
• Industry-recognized certifications such as:
  • AWS Certified Data Engineer / Solutions Architect / DevOps Engineer
  • Microsoft Certified: Azure Data Engineer Associate / Azure DevOps Engineer
  • Expert FinOps Certified Practitioner (FOCP)
  • CompTIA Security+ CE (or equivalent DoD 8570/8140 baseline certification)

Security Clearance Requirement:

An active Secret security clearance is required for this position.​

This position is part of our Federal Solutions team.

The Federal Solutions segment delivers resources to our US government customers that ensure the success of missions around the globe. Our intelligent employees drive the state of the art as they provide services and solutions in the areas of defense, security, intelligence, infrastructure, and environmental. We promote a culture of excellence and close-knit teams that take pride in delivering, protecting, and sustaining our nation's most critical assets, from Earth to cyberspace. Throughout the company, our people are anticipating what’s next to deliver the solutions our customers need now.

Salary Range: $112,200.00 - $196,400.00

We value our employees and want our employees to take care of their overall wellbeing, which is why we offer best-in-class benefits such as medical, dental, vision, paid time off, Employee Stock Ownership Plan (ESOP), 401(k), life insurance, flexible work schedules, and holidays to fit your busy lifestyle!

Parsons is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, veteran status or any other protected status.

We truly invest and care about our employee’s wellbeing and provide endless growth opportunities as the sky is the limit, so aim for the stars! Imagine next and join the Parsons quest—APPLY TODAY!

Parsons is aware of fraudulent recruitment practices. To learn more about recruitment fraud and how to report it, please refer to https://www.parsons.com/fraudulent-recruitment/.