CTG is seeking a Solution Architect to lead the technical approach for a large, mission-critical federal program supporting national security missions, spanning enterprise integration, data analytics, and DevSecOps. This role is ideal for a hands-on architect with a strong data background who designs secure, scalable systems that connect people, data, and partner organizations.
Compensation
We are committed to offering a competitive salary for this position, with an estimated range of $145k-190k annually.
Responsibilities
Design and build data ingestion pipelines that bring together data from many sources, formats, and systems
Architect analytics solutions, including data models, storage, processing, and reporting layers that support mission decisions
Make sure data quality, lineage, and governance are built into ingestion and analytics workflows
Lead DevSecOps practices across the work stream, including CI/CD pipelines, infrastructure as code, automated testing, and security scanning
Stay hands-on in the code, driving development and runtime analysis to ensure the system performs well
Associate Product Manager focused on the coordination of the delivery of product enhancements from the requirements phase through user acceptance and production support, specializing in Revenue Technology.
Locations (4)
New York City, New York, United States
Austin, Texas, United States
King of Prussia, Pennsylvania, United States
Scottsdale, Arizona, United States
Compensation
The expected base salary range for this position is $100K - $115K base. This position is eligible to participate in the Company Bonus Pool and is eligible to receive new hire equity in the Company.
Responsibilities
Help define the scope of projects using input from Product leaders, business stakeholders, subject matter experts, and Engineers
As the Business Intelligence Engineer II, Workforce Analytics, you will play a crucial role in driving data-informed decision making for the North America RME Strategy team. You will design and deliver analytical solutions that provide visibility into workforce effectiveness, headcount trends, and operational performance across our network of fulfillment centers, sortation centers, and last-mile delivery stations.
Locations (3)
Pittsburgh, Pennsylvania, United States
Nashville, Tennessee, United States
Irving, Texas, United States
Compensation
USA, PA, Pittsburgh - 99,500.00 - 160,000.00 USD annually
USA, TN, Nashville - 94,600.00 - 160,000.00 USD annually
USA, TX, Irving - 99,500.00 - 160,000.00 USD annually
Responsibilities
Design and maintain scalable reporting and analytical systems including data models, SQL queries, and Python scripts
Develop comprehensive data visualizations and dashboards using tools like Amazon Quick, Microsoft Excel, and other visualization tools
Owner of analytics infrastructure and datasets that directly inform operational decisions across Zipline, ensuring data accuracy, freshness, and incident response.
Compensation
The starting cash range for this role is $155,000 - $210,000.
Responsibilities
Own end-to-end analytics products: define success metrics, design schemas, implement ETL/ELT pipelines, test for accuracy, and operate datasets in production.
Deliver the first 6-month roadmap items as DRI, including consolidating multi-source aircraft availability signals into a single fleet health data set.
Implement rigorous validation: automated data-quality checks, anomaly detection, and rollback procedures with measurable alert thresholds and agreed remediation SLAs.
Build semantic layers, governed metrics, and documented data contracts consumed by BI and AI tools.
Partner closely with Software, Hardware, Field Ops, and Manufacturing to fix upstream data quality issues at the source.
Requirements
Bachelor's degree in a quantitative field or equivalent experience
Turn complex data into insights that drive meaningful business decisions, leading challenging analytics, business intelligence, reporting, and data improvement initiatives.
Compensation
The salary range for this role is $105,000 - $130,000, with a target compensation of $105,000 - $123,500 based on experience and qualifications.
Responsibilities
Manage complex data analysis and business intelligence workstreams within assigned areas that support revenue forecasting, profitability review, operational planning, and business performance evaluation
Build analytical models, queries, and data sets using SQL, Python, and other approved analytical tools to address complex business questions within assigned workstreams
Resolve complex analytical issues within assigned workstreams and escalate decisions requiring broader business or technical authority
Build dashboards, reports, and data visualizations that communicate complex analytical findings to technical and nontechnical audiences within assigned areas
Manage analytical dependencies involving business teams, data engineers, and systems such as Salesforce and Workday within assigned workstreams
Requirements
Bachelor’s degree in Data Analytics, Computer Science, Mathematics, Statistics, Engineering, Business, Economics, or a related field, or equivalent relevant experience
Lead technical direction for the TRUST network, architecting services, protocols, and infrastructure to support Travel Rule compliance across the industry.
Compensation
Annual base salary range (excluding equity and bonus):
$218,025—$256,000 USD
Responsibilities
Define short-term and long-term strategic vision for the TRUST network and sequence it into an engineering roadmap with Product.
Lead architecture across the network: services, protocols, and integration patterns for member discovery, address registration, counterparty identification, and secure data exchange.
Partner with product, legal, and compliance to translate a rapidly changing regulatory landscape into designs that hold up to scrutiny.
Lead SDKs, APIs, and infrastructure-as-code templates with engineers across the industry to cut member onboarding from weeks to days.
Establish network reliability practices and member-facing monitoring without exposing sensitive customer data.
Snr. Data Engineer work closely with business stakeholders to understand their goals and identify data-driven strategies to achieve those goals. They design data modeling processes, create algorithms and predictive models to extract the insight the business needs and help analyze the data to increase the productivity and efficiency of the business.
Compensation
We offer company-wide bonuses based on monthly sales targets, employee referral bonuses, adoption assistance, tuition reimbursement, certification reimbursement, and certification completion bonuses
Responsibilities
Expertise working experience with programming languages like Python, and SQL
Solid understanding of data lake, data warehousing and analytics
Research, design, and implement data modeling designs to solve complex problems
Communicate complex concepts and data pipelines to non-technical audiences through data visualizations
Identify opportunities and formulate data orchestration and data modeling projects to optimize business impact
Data Engineers work closely with business stakeholders to understand their goals and identify data-driven strategies to achieve those goals. They design data modeling processes, create algorithms and predictive models to extract the insight the business needs and help analyze the data to increase the productivity and efficiency of the business.
Compensation
We offer company-wide bonuses based on monthly sales targets, employee referral bonuses, adoption assistance, tuition reimbursement, certification reimbursement, and certification completion bonuses - all in a modern, high-tech, and fun work environment.
Responsibilities
Expertise working experience with programming languages like Python, and SQL
Solid understanding of data lake, data warehousing and analytics
Research, design, and implement data modeling designs to solve complex problems
Communicate complex concepts and data pipelines to non-technical audiences through data visualizations
Identify opportunities and formulate data orchestration and data modeling projects to optimize business impact
Set product direction across Salesforce Sales Cloud, Service Cloud, and Experience Cloud, including data models, automation, routing, permissions, integrations, and release quality
Break down complex business use cases into technical specifications
Work directly with partner engineering teams and vendors on integration design, API specifications, implementation questions, and launch risks
Support internal users and serve as a knowledgeable point of contact for teams using GTM systems
Requirements
Nice to have: 401(k) experience
Nice to have: Retirement and/or Benefits Administration experience
Evaluate and integrate data across multiple systems including learning and training tracking compliance systems, PXT systems, overtime, PRM (Parts, Repairs & Maintenance), Finance, and GPO data platforms
Partner with stakeholders across HR, Finance, and RME Field Leadership to translate complex business questions into analytical frameworks
Support cross-functional initiatives and network-wide projects with travel up to 15%
Requirements
Bachelor's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent
Nice to have: Data mining
Nice to have: AWS solutions (EC2, DynamoDB, S3, Redshift)
Comprehensive healthcare benefits starting on Day 1
Matching 401(k) program
Up to 20 weeks of paid parental leave
Lightweight fire-resistant daily wear and composite toe safety shoes
Health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
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