Showing Jobs
DC, DC
On-Site
Position Title: Litigation Technologist/Advisor
Start Date: ASAP
Location: Washington, DC
Program Mission: Work to improve the discovery and document production process for the FBI, within the Litigation Branch, Discovery Management Section (DMS), and in partnership with IT Branch professional staff and business process engineering staff.
Contract Ultimate Expiration Date: 06/29/29
LCAT Job Title: Litigation Technologist, Senior
Minimum LCAT Requirements –
- Certifications: n/a
- Years of Experience: 5+
- Clearance: Top Secret
Must Haves:
- Minimum of 5 years of experience with data collection, use of technology to facilitate discovery, management or training of discovery teams and familiarity with litigation practices
- Experience maintaining case-related documents in litigation support and document management databases.
- Experience organizing and overseeing document collections, uploads, processing, and productions.
- Technical ability to validate collection sets for accuracy and gaps.
- Expert technical user of eDiscovery tools.
- Demonstrated experience in beta testing eDiscovery tools, applications, and/or upgrades prior to release.
- Ability to advise and develop documentation on technical best practices in eDiscovery.
- Demonstrated strong oral and written communication skills, particularly in translating legal requirements into technical requirements and to provide end-user training to non-technical users.
- Experience creating standard operating procedures and/or best practices of technical applications for end users.
- Demonstrated successful coordination with IT partners in analysis of discovery tools and practices.
- Demonstrated ability to work as part of a team and manage complex relationships with all stakeholders.
Preferred:
- Law Degree (JD), current or prior Bar admission
TSG is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
#LI-HM1
Cheyenne, WY
On-Site
Platform Engineer (Onsite; Cheyenne, Wyoming)
We are seeking a skilled Platform Engineer to support and optimize our growing cloud environment. This role plays a key part in deploying, managing, and automating highly virtualized infrastructures across hybrid cloud platforms. You will collaborate with cross-functional teams, working hands-on with VMware, Kubernetes, and automation technologies to build scalable, resilient infrastructure solutions. This role requires the candidate to be onsite in Cheyenne, Wyoming
Platform Engineer Qualification:
Nice-to-Have Skills:
TSG is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
#LI-RA1
We are seeking a skilled Platform Engineer to support and optimize our growing cloud environment. This role plays a key part in deploying, managing, and automating highly virtualized infrastructures across hybrid cloud platforms. You will collaborate with cross-functional teams, working hands-on with VMware, Kubernetes, and automation technologies to build scalable, resilient infrastructure solutions. This role requires the candidate to be onsite in Cheyenne, Wyoming
Platform Engineer Qualification:
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field – or equivalent combination of education and experience
- 3–5 years of hands-on experience with virtualization technologies including VMware ESXi, vSphere, or OpenStack
- Proven experience troubleshooting at the physical and first layer of virtualization
- Strong understanding of Kubernetes and experience troubleshooting clusters
- 2+ years of experience with automation tools such as Ansible, Terraform, GitLab, Jenkins, or similar
- Proficiency in scripting with Python, Bash, or PowerShell to support automation and operations
Nice-to-Have Skills:
- Familiarity with VMware Cloud (VMC) on AWS and hybrid cloud architecture
- Understanding of Software-Defined Networking (SDN) and Virtual Network Functions (VNF)
- Experience with monitoring and logging solutions like Prometheus, FluentBit, or the ELK Stack
- Deploy, configure, and manage highly virtualized environments using VMware ESXi, vSphere, OpenStack, and Wind River
- Assist in the design and implementation of scalable, fault-tolerant virtual infrastructure across multiple data centers
- Support the development and maintenance of virtualization frameworks, optimizing resource allocation, performance, and capacity planning
- Troubleshooting of physical and first layer of virtualization
- Develop and enhance automation for provisioning, monitoring, and managing virtual infrastructure using Ansible, Terraform, and Jenkins
- Support zero-touch provisioning (ZTP) and automated recovery processes to ensure high availability
- Identify and implement optimizations to improve performance while reducing operational overhead
- Work cross-functionally with cloud, networking, and software teams to ensure seamless platform integration
- Provide guidance on best practices for virtualization and automation
- Participate in knowledge-sharing activities, mentoring junior engineers, and contributing to technical documentation
- Monitor and troubleshoot virtual environments to proactively address performance bottlenecks and system failures
- Assist in backup, disaster recovery, and failover strategies to enhance system resilience
- Implement automated responses to incidents to minimize manual intervention
- Contribute to defining and maintaining best practices for virtualization and automation processes
- Maintain detailed documentation of infrastructure configurations and procedures
TSG is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
#LI-RA1
DC, DC
On-Site
Senior Discovery Paralegal
TSG Federal is seeking experienced Paralegals to support the FBI in Washington, DC. The government contract runs through 2029 with intend to continue extending. There are also clear paths to promotion!
Program Mission: Work to improve the discovery and document production process for the FBI, within the Litigation Branch, Discovery Management Section (DMS), and in partnership with IT Branch professional staff and business process engineering staff.
#LI-HM1
TSG Federal is seeking experienced Paralegals to support the FBI in Washington, DC. The government contract runs through 2029 with intend to continue extending. There are also clear paths to promotion!
Program Mission: Work to improve the discovery and document production process for the FBI, within the Litigation Branch, Discovery Management Section (DMS), and in partnership with IT Branch professional staff and business process engineering staff.
Minimum LCAT Requirements –
- Education/Certifications: Paralegal Certificate or AA in Paralegal Studies
- Years of Experience: 5+
- Clearance: Top Secret, in DISS
Day to day responsibilities:
- Shall analyze and interpret requests from customers
- Shall research, locate, and gather material responsive to DMS requests including conducting outreach and informal interviews to respond to document requests and interrogatories
- Shall assist in preparation declarations
- Shall conduct responsiveness reviews of both ESI and paper materials
- Shall conduct legal privilege reviews using Symantec Clearwell, Adobe Pro with Redax, or other document review platforms provided by the FBI
- Shall analyze documents and proficiently apply deletion codes to diverse types of privileged information
- Shall support effective teams to foster teamwork and planning and decision making
#LI-HM1
Washington, DC
On-Site
eDiscovery Paralegal
TSG Federal is seeking experienced paralegals to support a high profile law enforcement customer on an eDiscovery program. This position is customer facing, onsite in Washington, DC.
#LI-GN1
TSG Federal is seeking experienced paralegals to support a high profile law enforcement customer on an eDiscovery program. This position is customer facing, onsite in Washington, DC.
Minimum LCAT Requirements –
- Education/Certifications: Paralegal Certificate or AA in Paralegal Studies
- Years of Experience: 5+
- Clearance: Top Secret, in DISS
Day to day responsibilities:
- Shall analyze and interpret requests from customers
- Shall research, locate, and gather material responsive to DMS requests including conducting outreach and informal interviews to respond to document requests and interrogatories
- Shall assist in preparation declarations
- Shall conduct responsiveness reviews of both ESI and paper materials
- Shall conduct legal privilege reviews using Symantec Clearwell, Adobe Pro with Redax, or other document review platforms provided by the FBI
- Shall analyze documents and proficiently apply deletion codes to diverse types of privileged information
- Shall support effective teams to foster teamwork and planning and decision making
#LI-GN1
Toronto, ON
Remote
SENIOR ARCHITECT
Job Duration: 4 months
Location: Remote- CANADA (candidates must be local to Canada)
Project Details:
We are seeking a GCP Data Architect with deep expertise in Google Cloud Platform (GCP) and a proven track record in data migrations. The ideal candidate will possess strong architectural skills in designing and optimizing data pipelines, as well as hands-on engineering capabilities to support data platform modernization.
This role requires a combination of data architecture design, engineering best practices, and BI platform expertise, particularly in enabling seamless transitions to GCP-based data ecosystems.
Must Have Skills:
Nice to Have Skills:
Day to day responsibilities:
TSG is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
#LI-KG1
Job Duration: 4 months
Location: Remote- CANADA (candidates must be local to Canada)
Project Details:
We are seeking a GCP Data Architect with deep expertise in Google Cloud Platform (GCP) and a proven track record in data migrations. The ideal candidate will possess strong architectural skills in designing and optimizing data pipelines, as well as hands-on engineering capabilities to support data platform modernization.
This role requires a combination of data architecture design, engineering best practices, and BI platform expertise, particularly in enabling seamless transitions to GCP-based data ecosystems.
Must Have Skills:
- 7+ years of experience in data engineering and data architecture roles.
- Expertise in Google Cloud Platform (GCP) data services including BigQuery, Dataflow, Pub/Sub, Cloud Storage, Cloud Composer.
- Hands-on experience migrating data from Domo to GCP/Tableau, or similar BI/data platforms.
- Strong proficiency in SQL, Python, and data modeling for analytics workloads.
- Deep understanding of data pipeline orchestration and workflow automation using tools like Apache Airflow.
- Experience in data governance, data security, and compliance within cloud environments.
- Familiarity with Tableau integration with GCP data sources.
Nice to Have Skills:
- GCP Professional Data Engineer or Architect certification.
- Experience with Looker, Power BI, or other visualization tools alongside Tableau.
- Familiarity with data lakehouse architectures.
- Exposure to Terraform, CI/CD for data pipelines, and infrastructure as code.
Day to day responsibilities:
- Architect and implement scalable GCP data solutions to support enterprise BI and analytics needs.
- Lead the migration of data platforms and pipelines from Domo to GCP, enabling downstream Tableau visualizations.
- Design and optimize ETL/ELT processes using GCP services like BigQuery, Dataflow, Pub/Sub, Cloud Composer (Airflow).
- Collaborate with data analysts, visualization teams, and business stakeholders to define data models and requirements.
- Ensure data integrity, governance, and security throughout the migration and integration process.
- Implement best practices for data architecture, data lake / warehouse design, and performance optimization in GCP.
- Provide technical leadership and mentorship to engineering teams on GCP data engineering patterns.
- Develop and maintain comprehensive documentation on data architectures, pipelines, and transformations.
- Troubleshoot and resolve data pipeline and platform issues as they arise.
TSG is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
#LI-KG1
Los angeles, CA
Remote
Essential Skills
Proficiency in Python: Must be proficient in designing classes, working in Terraform, and using Git for code reviews and collaborative development.
Kafka Expertise: Strong experience with Apache Kafka, including setting up consumers and S3 sinks for topics, with a focus on streaming data pipelines; the more hands-on Kafka experience, especially with S3 integration, the better.
AWS Services: General experience with Amazon MSK (Managed Streaming for Apache Kafka), Glue for ETL processes, S3 for storage, ECS for container orchestration, and related services to build scalable data infrastructure.
Data Lake Architectures: Strong understanding of working with semi-structured data and modern data lake architectures, including handling raw data in formats like JSON and YAML.
Data Pipeline Development: Proven ability to design and implement ETL/ELT processes for data ingestion, transformation, and loading, including incremental loads, data quality checks, and integration with streaming sources.
SQL Mastery: Advanced SQL skills for querying, transforming, and optimizing data across data warehouses and lakes (e.g., Redshift, Snowflake, or similar).
Version Control: Comfort with Git for collaborative development, branching, and merging data engineering projects.
Desirable Skills:
Cloud Data Platforms: Experience with cloud data warehouses and lakes (e.g., AWS Redshift, Snowflake, or Google BigQuery) to support data pipeline deployment and management.
Data Quality and Testing: Ability to implement data validation strategies, tests (e.g., uniqueness, referential integrity), and monitoring in pipelines to ensure reliability.
Performance Optimization: Skills in optimizing data pipelines and queries for large datasets, including partitioning, indexing, and leveraging formats like Apache Iceberg for scalable table management (nice to have).
Collaboration Tools: Proficiency with tools like Slack or Jira for coordinating with Analytics Engineers (AEs) and tracking progress.
Documentation: Capability to create clear documentation for data pipelines, schemas, and integration processes to support team handoff.
Additional Considerations
Adaptability: Ability to quickly learn existing data infrastructure and adapt pipelines to incorporate new streaming sources, data lakes, or raw assets.
Problem-Solving: Strong analytical skills to troubleshoot pipeline challenges, such as data inconsistencies in semi-structured formats, and propose effective solutions.
Communication: Comfort working with AEs to understand requirements and provide updates, ensuring smooth collaboration.
TSG is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
#LI-KY1
Proficiency in Python: Must be proficient in designing classes, working in Terraform, and using Git for code reviews and collaborative development.
Kafka Expertise: Strong experience with Apache Kafka, including setting up consumers and S3 sinks for topics, with a focus on streaming data pipelines; the more hands-on Kafka experience, especially with S3 integration, the better.
AWS Services: General experience with Amazon MSK (Managed Streaming for Apache Kafka), Glue for ETL processes, S3 for storage, ECS for container orchestration, and related services to build scalable data infrastructure.
Data Lake Architectures: Strong understanding of working with semi-structured data and modern data lake architectures, including handling raw data in formats like JSON and YAML.
Data Pipeline Development: Proven ability to design and implement ETL/ELT processes for data ingestion, transformation, and loading, including incremental loads, data quality checks, and integration with streaming sources.
SQL Mastery: Advanced SQL skills for querying, transforming, and optimizing data across data warehouses and lakes (e.g., Redshift, Snowflake, or similar).
Version Control: Comfort with Git for collaborative development, branching, and merging data engineering projects.
Desirable Skills:
Cloud Data Platforms: Experience with cloud data warehouses and lakes (e.g., AWS Redshift, Snowflake, or Google BigQuery) to support data pipeline deployment and management.
Data Quality and Testing: Ability to implement data validation strategies, tests (e.g., uniqueness, referential integrity), and monitoring in pipelines to ensure reliability.
Performance Optimization: Skills in optimizing data pipelines and queries for large datasets, including partitioning, indexing, and leveraging formats like Apache Iceberg for scalable table management (nice to have).
Collaboration Tools: Proficiency with tools like Slack or Jira for coordinating with Analytics Engineers (AEs) and tracking progress.
Documentation: Capability to create clear documentation for data pipelines, schemas, and integration processes to support team handoff.
Additional Considerations
Adaptability: Ability to quickly learn existing data infrastructure and adapt pipelines to incorporate new streaming sources, data lakes, or raw assets.
Problem-Solving: Strong analytical skills to troubleshoot pipeline challenges, such as data inconsistencies in semi-structured formats, and propose effective solutions.
Communication: Comfort working with AEs to understand requirements and provide updates, ensuring smooth collaboration.
TSG is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.
#LI-KY1