Role Description We are seeking a proactive Lead AI & Data Analytics Engineer to support a federal acquisition process modernization effort. This individual will serve as the technical and functional lead for building AI-enabled analytics products using Palantir Foundry, Microsoft Power Platform, Advana, Jupiter, and Databricks. This is not a traditional dashboard developer role. The successful candidate must be a self-starter who can engage directly with business stakeholders, understand acquisition and contract writing processes, identify high-value use cases, connect data across platforms, and deliver decision-support capabilities with limited oversight. The ideal candidate will help the client move from static reporting to integrated, AI-enabled analytics that generate actionable insights, identify risk, improve visibility, and support better acquisition decision-making. Key Responsibilities - Lead the design, development, and delivery of AI-enabled analytics products supporting acquisition and contract writing operations. - Build and maintain data products, dashboards, workflows, and analytical applications using Palantir Foundry and Microsoft Power Platform. - Work within Advana and Jupiter environments to access, analyze, and connect relevant data sources to Palantir Foundry and Power Platform solutions. - Develop data pipelines, reusable data models, and analytics layers using Databricks, SQL, Python, PySpark, or similar tools. - Build and maintain ETL/ELT pipelines in Foundry's Pipeline Builder and Code Repositories — from raw ingest through staging to curated, production-ready datasets. - Design end-to-end big data architectures across cloud implementations of Foundry, including data lakes, pipelines, warehouses, and analytics platforms; apply Foundry's open architecture principles to ensure interoperability with existing IT systems and meet organizational and compliance requirements. - Integrate AI, machine learning, natural language processing, generative AI, or automated insight-generation capabilities into analytics products and workflows. - Identify, prioritize, and drive analytics and AI use cases from concept through delivery. - Partner with acquisition, contracting, program, and technical stakeholders to understand business problems and translate them into data and AI solutions. - Develop AI-enabled capabilities such as natural language querying, automated leadership summaries, risk indicators, anomaly detection, trend analysis, workload forecasting, and decision-support recommendations. - Build dashboards and reports that provide insight into contract writing activity, workload, procurement status, cycle times, data quality, system adoption, bottlenecks, and operational risk. - Support data integration across contract writing, procurement, financial, program, and operational data sources. - Validate AI-generated outputs against source data, business rules, and subject matter expert feedback. - Establish standards for data quality, governance, documentation, and responsible AI use. - Provide technical direction to junior or support-level data analytics staff. - Present findings, prototypes, dashboards, and recommendations to both technical and non-technical stakeholders. Qualifications - 5+ years of experience in data analytics, data engineering, platform engineering, business intelligence, AI/ML, or analytics product development. - Experience building analytics products in Palantir Foundry. - Experience working with Advana, Jupiter, or similar federal/DoD data environments. - Strong experience with SQL, Python, TypeScript/JavaScript. - Hands-on expertise with one or more modern data engineering, analytics, or data platform technologies (e.g. Databricks, Spark, Kafka, Hadoop, Snowflake, Azure Data Factory, AWS Glue, Apache NiFi, Delta Lake). - Experience integrating and transforming data from multiple sources and translating business requirements into data products, dashboards, AI use cases, and technical solutions. - Experience applying AI, machine learning, NLP, generative AI, semantic search, or natural language querying to business or operational data. - Strong understanding of data governance, data quality, access control, and responsible AI practices. - Demonstrated ability to lead use cases, manage ambiguity, and deliver results with limited oversight. - Strong client-facing communication skills and stakeholder engagement skills. - Eligible to obtain a U.S. Government clearance. - Experience with Microsoft Power Platform, including Power BI; Power Apps and Power Automate. - Bachelor's degree in Computer Science, Software Engineering, Data Engineering, Information Systems, Mathematics, Physics, or a related technical field, or equivalent experience. Requirements - Up to 10% travel, depending on environment cutovers, stakeholder design sessions, and validation/test events. Benefits - Competitive compensation: $130,000 – 150,000 / year (commensurate with experience). - Comprehensive benefits, including medical, dental, and vision coverage. - Flexible time off. - Professional development opportunities. - Company perks such as flex spending, wellness initiatives, etc. - 401(K) matching.

Role Description The Senior Data Engineer exists to build and scale the data infrastructure that powers Kargo's targeting, identity, and measurement capabilities. This role owns hands-on implementation of the pipelines, systems, and tooling that turn raw data into competitive advantage — at speed and at scale. When this role is firing, data flows reliably, engineering teams move faster, and Kargo's data products are built on a foundation that can handle whatever comes next. This is a remote role in London, UK. Outcomes — What Success Looks Like in 6–12 Months - Core ETL/ELT pipelines are optimized and operationally reliable. - New datasets are onboarded and powering targeting capabilities. - CI/CD practices are adopted and accelerating team velocity. - Privacy-compliant data methodologies are implemented and documented. - Technical documentation is thorough and actually used. Qualifications - Deep proficiency in Python and Spark for building and optimizing large-scale data pipelines; strong grasp of data structuring for performance and efficiency. - Hands-on experience with Airflow for orchestrating complex data workflows, and Apache Iceberg for table format management at scale. - Extensive AWS experience including EKS, Docker, and Kubernetes; comfortable owning infrastructure deployment and scaling decisions. - CI/CD fluency — ArgoCD, automated testing pipelines, and monitoring via Prometheus; treats deployment reliability as a first-class concern. - Familiarity with analytical warehousing in Snowflake or ClickHouse — SQL optimization, cost management, and performance tuning. - Working knowledge of identity, privacy, and targeting methodologies in ad tech — understands how data flows through the ecosystem and where privacy constraints apply. Requirements - Experience with real-time streaming technologies — Kafka, Flink — for latency-sensitive data processing use cases. - Familiarity with Aerospike or similar low-latency key-value stores used in high-throughput targeting systems. Competencies — Behaviors We Like to See - Hands-On Ownership: Drives implementation independently from ambiguous brief to working system; takes operational responsibility for the systems they build. - Rigorous Problem-Solving: Brings structured thinking to complex, multi-system challenges; optimizes for the right outcome — performance, cost, reliability. - Technical Collaboration: Contributes actively in design and brainstorming sessions; communicates technical decisions clearly to both engineering peers and non-technical stakeholders. - Documentation and Knowledge Sharing: Writes documentation that actually gets used; treats onboarding others as part of the job. Our Laurels - AdAge Best Places to Work - ThinkLA Partner of the Year - Built In Best Places to Work - Cynopsis 2025 Top Women in Media - Jeannine Shao Collins - Martech Breakthrough Awards - Best Overall Adtech Company - Digiday Media Awards Best Event - Cynopsis Media Impact Awards-Best CTV Platform - Martech Breakthrough Awards-CTV Innovation - Adweek Media Plan of the Year Awards - Best Use of Insights

Role Description We are looking for a Data Scraping Specialist to collect, organize, and normalize data from public and government sources into reliable formats. 🕒 Schedule: Monday to Friday: 12:00 PM – 8:00 PM CST What will be your main challenges? (Responsibilities) - Research and identify public and government data sources. - Extract, transform, and normalize data from websites, APIs, feeds, FTP sources, and online repositories. - Design and build reusable, scalable, and maintainable ETL processes and workflows (no one-off scripts!). - Apply advanced web scraping techniques using Python, HTTP requests, and HTML parsing. - Ensure quality: Identify inconsistencies, validate data samples, and document methodologies and processes. - Collaborate and version control: Maintain repositories using Git under development best practices and maintain clear communication with stakeholders. Qualifications - Solid experience in web scraping, data scraping, and structured/unstructured data extraction. - Technical proficiency: Hands-on experience programming in Python (or similar languages), knowledge of APIs, HTTP, FTP, HTML parsing, and relational databases like PostgreSQL. - Language: Advanced English level (fluent written and technical communication). - Analytical mindset: Ability to solve complex data acquisition problems, optimize solutions, and work independently while taking on technical challenges. - Quality focus: Strong emphasis on data validation, normalization, and documentation. Benefits - $350 - $500 a month Company Description We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Data Engineer Miami, FL / Remote / Hybrid / Tampa, FL Information Technology /Full Time Hybrid /Hybrid Job Description Data Engineer  Employment Type: Full-Time, Mid-level Department: Business Intelligence CGS is seeking a passionate and driven Data Engineer to support a rapidly growing Data Analytics and Business Intelligence platform focused on providing solutions that empower our federal customers with the tools and capabilities needed to turn data into actionable insights. The ideal candidate is a critical thinker and perpetual learner excited to gain exposure and build skillsets across a range of technologies while solving some of our clients toughest challenges. CGS brings motivated highly skilled and creative people together to solve the governments most dynamic problems with cutting-edge technology. To carry out our mission we are seeking candidates who are excited to contribute to government innovation appreciate collaboration and can anticipate the needs of others. Here at CGS we offer an environment in which our employees feel supported and we encourage professional growth through various learning opportunities. Skills and attributes for success - Complete development efforts across data pipeline to store manage store and provision to data consumers. - Being an active and collaborating member of an AgileScrum team and following all AgileScrum best practices. - Write code to ensure the performance and reliability of data extraction and processing. - Support continuous process automation for data ingest. - Achieve technical excellence by advocating for and adhering to lean-agile engineering principles and practices such as API-first design simple design continuous integration version control and automated testing. - Work with program management and engineers to implement and document complex and evolving requirements. - Help cultivate an environment that promotes customer service excellence innovation collaboration and teamwork. - Collaborate with others as part of a cross-functional team that includes user experience researchers and designers product managers engineers and other functional specialists. Qualifications - Must be a US Citizen. - Must be able to obtain a Public Trust Clearance. - 7 years of IT experience including experience in design management and solutioning of large complex data sets and models. - Experience with developing data pipelines from many sources from structured and unstructured data sets in a variety of formats. - Proficiency in developing ETL processes and performing test and validation steps. - Proficiency to manipulate data Python R SQL SAS. - Strong knowledge of big data analysis and storage tools and technologies. - Strong understanding of the agile principles and ability to apply them. - Strong understanding of the CICD pipelines and ability to apply them. - Experience with relational database such as PostgreSQL. - Work comfortably in version control systems such as Git Repositories. Ideally you will also have - Experience creating and consuming APIs. - Experience with DHS and knowledge of DHS standards a plus. - Candidates will be given special consideration for extensive experience with Python. - Ability to develop visualizations utilizing Tableau or PowerBI. - Experience in developing Shell scripts on Linux. - Demonstrated experience translating business and technical requirements into comprehensive data strategies and analytic solutions. - Demonstrated ability to communicate across all levels of the organization and communicate technical terms to non-technical audiences. Our Commitment Contact Government Services CGS strives to simplify and enhance government bureaucracy through the optimization of human technical and financial resources. We combine cutting-edge technology with world-class personnel to deliver customized solutions that fit our clients specific needs. We are committed to solving the most challenging and dynamic problems. For the past seven years weve been growing our government-contracting portfolio and along the way weve created valuable partnerships by demonstrating a commitment to honesty professionalism and quality work. Here at CGS we value honesty through hard work and self-awareness professionalism in all we do and to deliver the best quality to our consumers mending those relations for years to come. We care about our employees. Therefore we offer a comprehensive benefits package - Health Dental and Vision-Life Insurance - 401k - Flexible Spending Account Health Dependent Care and Commuter - Paid Time Off and Observance of StateFederal Holidays Contact Government Services LLC is an Equal Opportunity Employer. Applicants will be considered without regard to their race color religion sex sexual orientation gender identity national origin disability or status as a protected veteran. Join our team and become part of government innovation 112597.33 - 152810.66 a year We may use artificial intelligence AI tools to support parts of the hiring process such as reviewing applications analyzing resumes or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed please contact us.