This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description As a Staff AI Data Engineer, you’ll research, design, and architect data systems purpose-built for AI agents, automations, and decisioning engines. You’ll also apply data science and model-tuning techniques to optimize LLMs and solve complex marketing challenges for our clients. If you enjoy turning high-volume data into clean, powerful systems—and you want your work to drive real business outcomes rather than just dashboards—this role puts you right at the center of the action. What You’ll Do - Apply bleeding edge AI theory to the design and implementation of large-scale data systems that feed AI agents and autonomous workflows. - Use data science techniques to fine-tune, evaluate, and optimize LLMs for marketing-specific tasks: attribution insights, anomaly detection, summarization, classification, and automated recommendations. - Build end-to-end automations using LLMs, internal data, and external signals to eliminate repetitive human tasks. - Build AI-driven automations that reduce manual work across Rockerbox and unlock new client-facing capabilities. - Design retrieval, orchestration, and memory layers that make our AI agents smarter over time. - Establish best practices for AI data quality, observability, experiments, and safety. - Lead R&D initiatives: rapid prototyping, experimentation, model evaluations, and productionization. - Mentor data scientists and engineers across the organization to raise the bar on LLM use company-wide. Qualifications - 8+ years of experience in data engineering, AI, ML platforms, or large-scale distributed systems. - Hands-on experience integrating LLMs into production systems (OpenAI, fine-tuning, embeddings, RAG, vector stores, or custom agent orchestration). - Strong understanding of experimentation, model evaluation, and performance tuning. - You think in systems: storage, retrieval, metadata, reliability, latency, failure modes. - Ability to work from ambiguity to execution — you’re comfortable being the first to figure something out. - Strong communication skills: you can explain tradeoffs, scope decisions, and technical strategy clearly. Requirements - The successful candidate’s starting salary will be determined based on a number of non-discriminating factors, including qualifications for the role, level, skills, experience, location, and balancing internal equity relative to peers at DV. - The estimated salary range for this role based on the qualifications set forth in the job description is between [$128,000 - $230,000]. - This role will also be eligible for bonus/commission (as applicable), equity, and benefits. - The range above is for the expectations as laid out in the job description; however, we are often open to a wide variety of profiles, and recognize that the person we hire may be more or less experienced than this job description as posted. Benefits - Fast-paced, results-driven environment where your work has a direct impact on our growth and the success of our clients. - Iterative development process means you’ll see your contributions come to life quickly. - Supportive, light-hearted team that values collaboration and innovation. - Commitment to professional growth and active support for your development in both technical and business domains. Company Description At Rockerbox, you’ll find a fast-paced, results-driven environment where your work has a direct impact on our growth and the success of our clients. Research shows that while men apply to jobs when they meet an average of 60% of job criteria, women and other marginalized groups tend to only apply when they check every box. So if you think you have what it takes but you’re not sure that you check every box, apply anyway!

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description As a Data Strategist, you will play a vital role in supporting the development and implementation of ATPCO’s commercial strategy. The ideal candidate is a problem solver who leverages analytical thinking, technical skills, and business acumen to uncover key insights, findings, and recommendations that drive corporate objectives. - Collect and organize data from various sources (revenue, product usage, customer insights, etc.), analyze it, and develop data-driven recommendations for leadership. - Conduct research and provide analysis to support changes or improvements in business practices. - Recommend process improvements and operational efficiencies within the department and across divisions. - Support the automation of data reporting tools and create clear, user-friendly data visualizations. - Develop analytical frameworks to better understand customer behavior and trends. - Assist with the configuration, testing, and maintenance of enterprise Customer Relationship Management (CRM) systems to enhance business operations and customer processes. - Contribute to the development, automation, and validation of KPI reports. - Help design, document, and maintain operational processes to ensure consistency and efficiency. Qualifications - Bachelor’s degree in Industrial and Systems Engineering, Business Analysis, Business Administration, Data Analytics, or a related field. - Advanced Excel skills, including data manipulation, automation, and visualization using formulas, pivot tables, and Power Query. - Proficient in Power BI and SQL, with experience designing interactive dashboards and delivering data-driven insights. - Experience with Microsoft Power Apps or Power Automate to streamline workflows, improve efficiency, and support process automation. - Knowledgeable in data modeling techniques and data management best practices. - Skilled in developing clear, compelling presentations, primarily using PowerPoint. - Strong collaboration skills, with the ability to work effectively across multiple divisions and teams, including Sales, Marketing, Finance, and Product. - Highly organized, with excellent time management, planning, and attention to detail. - Able to translate complex data and technical concepts into clear, actionable insights. - Demonstrates leadership and initiative in managing projects and delivering results. - Comfortable working independently as well as collaboratively in a team environment. Requirements - Unfortunately, at this time we are only able to consider U.S. citizens and green card holders. Benefits - Remote-First Culture – Flexibility to work from home in your country of hire. - “Leave Your Way” PTO – Take the time you need, when you need it. - 401(k) with Generous Employer Match – Invest in your future. - Comprehensive Benefits – Medical, dental, vision, & mental health. - Global Tuition and Gym Reimbursement – Learn and grow on us. - Standby Flight Program – Explore the world. - Inclusive, Collaborative Culture – Be seen, heard, and valued. Company Description ATPCO is the world's primary source for air fare content, holding over 200 million fares across 160 countries. Every day, the travel industry relies on ATPCO's technology and data solutions to help millions of travelers reach their destinations efficiently. Join us and contribute to the development of innovative applications that power global travel. ATPCO is everywhere people buy flights. We’ve built a remote-first culture rooted in trust, transparency, and belonging. With open-door leadership, weekly 1:1s, and real-time recognition, we keep our people connected and valued—no matter where they work. Our cultural pillars of Collaboration, Empowerment, Innovation, Learning, Transparency, and Trust guide how we show up for one another and grow together.

• Partner with Enterprise Architects, Senior Architects, and cross functional teams • Contribute to Empower’s technology roadmap • Design and support modernization and migration of complex systems • Evaluate and prototype new technologies • Apply and help operationalize architectural standards • Collaborate closely with business and engineering teams • Provide architectural guidance in process design • Champion security, resilience, and scalability as core design principles • Contribute to architecture discipline maturity • Support full stack development teams through solution design

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description This role is a key member of the Enterprise Data Warehouse team, responsible for designing, developing, and optimizing data solutions that support business and client needs. The Senior Data Warehouse Engineer will lead the creation of scalable ETL/ELT pipelines, manage complex data integration projects, and ensure adherence to data governance standards. - Design, develop, test, deploy, and maintain complex ETL/ELT processes to integrate diverse data sources. - Optimize SQL queries, database structures, and data pipelines for performance and scalability. - Ensure compliance with data privacy, governance, and organizational standards across all data processes. - Collaborate with cross-functional project teams to understand business requirements and deliver actionable data solutions. - Support technical design, project planning, and solution deployment activities. - Act as a technical subject matter expert (SME) for assigned business segments, guiding best practices in data engineering. - Identify opportunities for continuous improvement in business processes, system capabilities, and delivery methodologies. Qualifications - Bachelor’s degree in Computer Science, Information Systems, or related field. - 5+ years experience with relational databases and ETL development. - 5+ years experience writing and optimizing SQL queries. - 3+ years experience working with healthcare data in a Data Engineer capacity. - 2+ years experience with Snowflake, Azure Data Factory, and Azure Synapse. - 2+ years experience with SQL Server Integration Services (SSIS). - Experience building data pipelines and working with APIs for ETL processes. - Familiarity with multiple file formats (JSON, XML, etc.) and proficiency in Python, R, or SAS. - Strong problem-solving, communication, and collaboration skills for cross-functional environments. Benefits - Competitive salary and growth opportunities. - 401K plan with company match. - Tuition reimbursement programs. - Flexible work environment and telecommuting options. - Paid time off, holidays, and discretionary PTO. - Medical, dental, and vision coverage, including HSA/FSA options. - Employee wellness and assistance programs. - Short-term and long-term disability, life insurance, and adoption assistance. - Access to professional development and learning resources.