Senior Full Stack Engineer

TekWissen LLC

Bellevue, WA

JOB DETAILS
SALARY
$61.52–$61.52
SKILLS
Agile Programming Methodologies, Amazon Web Services (AWS), Analysis Skills, Application Programming Interface (API), Artificial Intelligence (AI), Atlassian JIRA, Automation, Best Practices, Cloud Computing, Code Reviews, Communication Skills, Computer Science, Continuous Deployment/Delivery, Continuous Integration, Customer Support/Service, Data Modeling, Database Technology, Debugging Skills, DevOps, Diversity, Django, Docker, Documentation, Engineering, Federal Laws and Regulations, IDE (Integrated Development Environment), Information Technology & Information Systems, Information/Data Security (InfoSec), Intelligence Agencies, Internet Application, Legal, Metrics, Microservices, Microsoft Certifications, Microsoft Windows Azure, MySQL, NoSQL, Node.js, Oracle, Privacy Impact Assessment (PIA), Privacy Regulations, Problem Solving Skills, Production Systems, Python Programming/Scripting Language, Quality Metrics, Query Optimization, REST (Representational State Transfer), React.js, Regulatory Compliance, Regulatory Reports, Regulatory Requirements, Relational Databases (RDBMS), Reporting Dashboards, SQL (Structured Query Language), SWAGGER OAS, Salesforce.com, Scalable System Development, Scrum Project Management and Software Development, Secure Coding, Snowflake Schema, Software Engineering, Software as a Service (SaaS), Splunk, Sprint Planning, State Laws and Regulations, Technical Leadership, Technical Support, Technical Writing, Test Plan/Schedule, User Interface/Experience (UI/UX), Web Production, Workforce Management, Writing Skills
LOCATION
Bellevue, WA
POSTED
5 days ago
Overview:
TekWissen is a global workforce management provider headquartered in Ann Arbor, Michigan that offers strategic talent solutions to our clients world-wide. Our client provider of digital technology and transformation, information technology and services
Position: Senior Full Stack Engineer
Location: Bellevue WA
Duration: 6 Months
Job Type: Temporary Assignment
Work Type: Hybrid
Job Description
  • The Senior Full Stack Engineer Privacy will design, build, and maintain production-grade web applications and APIs that power client's data privacy platform, including Data Subject Request (DSR) processing, consent management, and regulatory compliance workflows. Working within the Data & Intelligence organization's Privacy practice, this engineer operates at the intersection of frontend, backend, and cloud engineering to deliver responsive, secure, and scalable solutions supporting client's privacy obligations across a customer base of over 100 million.
  • You will collaborate closely with privacy product managers, data engineers, AI/ML engineers, and legal and compliance teams to translate complex regulatory requirements - including CCPA, CPRA, TCPA, and other state privacy laws - into reliable software systems. You will also integrate with third-party privacy platforms such as OneTrust and leverage modern DevOps practices to ensure rapid and reliable delivery.
What You'll Do
Full Stack Development
  • Design and build scalable, high-performance web applications using React or Angular for frontend and Python (FastAPI/Django) or Node.js for backend services.
  • Develop and maintain RESTful APIs and microservices supporting privacy workflows including Data Subject Requests (DSR), consent management, and opt-out processing.
  • Build responsive, accessible UIs that surface privacy compliance dashboards, DSR status tracking, and operational metrics to internal and external stakeholders.
  • Integrate with privacy platforms such as OneTrust to automate rights fulfillment workflows across client's systems.
  • Implement secure data handling patterns to ensure PII protection across all layers of the application stack.
Backend & API Engineering
  • Architect and maintain microservices-based backends, applying REST and event-driven architectural patterns using Kafka or equivalent messaging systems.
  • Design and implement data models, database schemas, and query optimizations across relational (Oracle, MySQL, Snowflake) and NoSQL data stores.
  • Write well-tested, documented code; participate actively in code reviews and uphold engineering quality standards.
  • Use Swagger/OpenAPI to document APIs and ensure consistent integration patterns across engineering teams.
Cloud & DevOps
  • Deploy and manage cloud-native services on Azure or AWS including compute, storage, serverless functions, and container registries.
  • Build and maintain CI/CD pipelines using GitLab or Azure DevOps to enable reliable, automated software delivery.
  • Apply containerization and orchestration using Docker and Kubernetes for scalable, resilient service deployments.
  • Implement observability best practices including monitoring, alerting, and log analysis using Splunk, AppDynamics, or Grafana.
Privacy & Compliance Engineering
  • Implement technical controls to support compliance with CCPA, CPRA, TCPA, and other applicable state and federal privacy regulations.
  • Build and maintain audit logging and data lineage tracking to support privacy impact assessments and regulatory reporting.
  • Collaborate with legal, compliance, and privacy operations teams to translate regulatory requirements into engineering specifications and solutions.
  • Contribute to the design of data minimization, retention, and deletion workflows within the client privacy platform.
AI-Assisted Engineering
  • Daily use of AI productivity tools (current stack: Claude and Cursor or similar IDE) for code development, code review, debugging, testing, and documentation.
  • Contribute to AI-assisted automation of privacy workflows including intelligent DSR routing, anomaly detection, and notification systems.
Technical Leadership & Collaboration
  • Partner with data engineers, AI/ML engineers, product managers, and compliance stakeholders to deliver end-to-end privacy solutions.
  • Produce and maintain clear technical documentation, architecture diagrams, and runbooks.
  • Participate in agile ceremonies, sprint planning, and team knowledge-sharing initiatives.
What You'll Bring
  • Bachelor's degree in Computer Science, Software Engineering, or a related field.
  • 5 7 years of hands-on full stack software engineering experience in production environments.
  • Strong proficiency in Python (FastAPI or Django) and/or Node.js for backend development.
  • Strong proficiency in React or Angular for frontend development.
  • Solid experience designing and building RESTful APIs and microservices architectures.
  • Experience working with relational databases (Oracle, MySQL, Snowflake) and writing complex SQL queries.
  • Proven experience with cloud platforms (Azure or AWS) and containerization using Docker and Kubernetes.
  • Experience with CI/CD pipelines using GitLab or Azure DevOps.
  • Strong understanding of data security, PII protection, and secure coding principles.
  • Excellent problem-solving, analytical, and written communication skills.
  • Experience working in Agile/Scrum delivery environments.
Must Have Skills
  • Proficiency in Python (FastAPI/Django) or Node.js for backend API and microservices development (Required)
  • Proficiency in React or Angular for frontend UI development (Required)
  • Strong experience building and consuming RESTful APIs (Required)
  • Experience with relational databases (Oracle, MySQL, or Snowflake) and SQL (Required)
  • Hands-on experience with cloud platforms (Azure or AWS) including serverless and container services (Required)
  • Experience with CI/CD pipelines using GitLab or Azure DevOps (Required)
  • Experience with Docker and Kubernetes for containerized deployments (Required)
  • Experience with observability tools such as Splunk, AppDynamics, or Grafana (Required)
  • Familiarity with privacy regulations (CCPA, CPRA, TCPA) and their technical implications (Preferred)
  • Experience with OneTrust or similar consent and rights management platforms (Preferred)
  • Hands-on experience with AI productivity tools (Claude and Cursor or similar) (Preferred)
Nice to Have
  • Experience implementing Data Subject Request (DSR) or consent management workflows.
  • Knowledge of data minimization, retention, and deletion engineering patterns.
  • Experience integrating third-party SaaS platforms (OneTrust, Salesforce, Jira) via APIs.
  • Familiarity with agentic AI frameworks (LangChain, LangGraph, or equivalent) for workflow automation.
  • Relevant certifications: Microsoft Azure Developer (AZ-204), AWS Solutions Architect, or equivalent.
TekWissen Group is an equal opportunity employer supporting workforce diversity.

About the Company

T

TekWissen LLC

WE THE TEKWISSEN PEOPLE

TekWissen offers you a broader portfolio of services, industry-leading solutions, and the meaningful innovations that give you greater flexibility and speed to respond to market dynamics, reduced costs and risk to improve enterprise performance, and increased productivity to enable growth.

To keep pace with global market demands, TekWissen keeps its finger on the pulse of change. Our organized approach to guiding a project from its inception to closure. Managing projects is becoming more and more important as we enter the digital era. To cope with the pace that this transition demands, a method is required to manage projects so they can yield quality work, while incorporating efficient use of time and resources.

Project involves identifying which quality standards are relevant to the project and determining how to satisfy them.

It is important to perform quality planning during the Planning Process and should be done alongside the other project planning processes because changes in the quality will likely require changes in the other planning processes, or the desired product quality may require a detailed risk analysis of an identified problem. It is important to remember that quality should be planned, designed, then built in, not added on after the fact.

Capabilities and accomplishments in one TekWissen business enhance the opportunity for success in the others. Put simply, TekWissen's unique combination of attributes promotes success.



COMPANY SIZE
100 to 499 employees
INDUSTRY
Computer/IT Services
FOUNDED
2009
WEBSITE
http://www.tekwissen.com/