Resonate is a leading provider of high-quality, AI-powered consumer data, intelligence, and technology, empowering marketers to create a more personalized world that increases customer acquisition and lifetime value. Our SaaS platform, Ignite, and our Data-as-a-Service (DaaS) offerings provide unparalleled insights into consumer motivations, values, and behaviors, enabling our clients to connect with their target audiences in more meaningful and effective ways. We are a dynamic and fast-growing company seeking passionate and innovative individuals to join our team! As a Data Engineer on the big data team, you will design, build, and maintain critical data pipelines that power the Resonate business. You will collaborate with senior engineers and product management to deliver scalable data solutions. You will be a member of a high-quality, dedicated and friendly team passionate about delivering quality products, solving hard problems, and transforming the data with AI. Key Responsibilities - Collaborate in the design, planning and development of products and initiatives to deliver on product requests for the data engineering squad - Design, develop, and maintain ETL/ELT pipelines using Spark and Scala on AWS EMR - Build and optimize data workflows processing terabyte-scale datasets in S3 and Snowflake - Monitor pipeline health using Grafana dashboards and resolve data quality issues - Write clean, testable code with comprehensive unit and integration tests - Participate in code reviews, technical design discussions, and sprint planning - Support production operations including on-call rotation and incident response Qualifications & Experience Requirements - 5+ years professional experience in software engineering, data engineering, or a related field - 3+ years of experience in Spark/Scala DataFrame/Dataset APIs - Prior experience with debugging and problem solving in Big data ecosystem - Proven experience in tuning multi-terabyte / petabyte scale Spark Applications - Prior relational database experience is required - Deep knowledge of software architecture and engineering standard methodologies, especially modern cloud computing stacks for processing Big Data. - Experience with AWS (EMR, S3, Lambda), Spark, Scala, Kafka, Snowflake, Grafana, Hadoop, Elastic Stack, Docker for containers, etc. - Strong understanding of the different parts of the software development lifecycle, from exploration and design to delivery to production - Good understanding of principles of solution architecture, technical design, data structures, and data modeling - Enthusiasm/experience leveraging generative AI tools to accelerate data engineering work - including pipeline development, system monitoring, and improving developer productivity Preferred Qualifications - Experience in using probabilistic data structures - Demonstrated success in implementing scaled high cardinality data system Education Requirements - Bachelor’s degree in Computer Science, Computer Engineering, or equivalent Resonate Attributes At Resonate, we care about more than your experience on paper. We look for teammates who bring the right mindset and ways of working to help us do great work, together. The Resonators who thrive here embody these qualities: - Proactive Problem-Solving: You spot challenges early and take initiative to solve them. - Ownership: You take initiative, follow through, and hold yourself accountable. - Collaboration: You value working with others and building strong, respectful relationships. - Adaptability: You stay steady through change and adjust when needed. - Growth Mindset: You’re open to learning, feedback, and trying new things. - Customer Focus: You keep the end user in mind and aim for impact. - Clear Communication: You express ideas simply and listen to understand. - Integrity & Empathy: You act with honesty and consider the people around you. - Strategic Thinking: You focus on what matters most and work with purpose. - Drive: You show up motivated and ready to move things forward. - Readiness: You bring the skills to contribute meaningfully from day one. These attributes are the foundation of how we work and grow together! Benefits Besides the opportunity to work alongside smart, fun, and hard-working colleagues at Resonate, you'll also enjoy uncapped growth potential, the chance to have a meaningful impact on the company, and the opportunity to work on cutting-edge, AI-powered marketing data and identity solutions that are forever changing the industry. From a competitive 401(k) match to an Open PTO policy that encourages real time off, we’re committed to creating an environment where our team members can thrive both inside and outside of work. Our comprehensive benefits package is designed to meet the diverse needs of our employees and their families. A full list of benefits is shared with candidates following their initial conversation with our HR team, so you’ll have a clear understanding of the support and resources available to you as part of the Resonate team. Location At Resonate, we take a remote-first approach to work, offering a flexible environment that empowers our team to collaborate seamlessly across different locations. While we embrace remote work, we also encourage thoughtful and intentional in-person collaboration to foster connection and teamwork when needed. Whether you're working from home or joining us in one of our state-of-the-art offices, you'll have the tools and resources you need to succeed. Resonate is headquartered in Reston, VA, with offices in New York City and Washington, D.C. Our EEO Statement: Resonate is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outline by federal, state, or local laws. Find out more about our story at www.resonate.com.

Role Description We are looking for Data Architect to lead the initial phase of a data platform transformation. This person will be responsible for evaluating the current Databricks environment, defining the target architecture, and establishing the technical foundation for scalable, governed data solutions in the cloud. - Assess the existing Databricks environment and evaluate prior implementations - Identify components that can be leveraged versus those requiring redesign or rebuild - Analyze and map source systems (e.g., CareMore) to support scalable data ingestion and integration - Design the target-state medallion architecture (Bronze, Silver, Gold layers) - Define ingestion and transformation strategies using modern data engineering practices - Establish governance and security framework leveraging Unity Catalog - Define data modeling standards for downstream analytics and reporting (Gold layer readiness) - Collaborate with engineering teams to ensure architecture is implementable and scalable - Document architecture decisions, trade-offs, and best practices for execution teams Qualifications - Bachelor's degree in computer science or related degree. - Strong experience with Databricks and modern data lakehouse architectures - Advanced proficiency in SQL for data modeling, transformation, and performance optimization - Strong programming skills in Python (PySpark preferred) for data processing and pipeline design - Hands-on experience designing ETL/ELT pipelines at scale - Experience with cloud platforms (Azure preferred; AWS/GCP also relevant), including storage, compute, and security services - Proven experience designing medallion architectures (Bronze/Silver/Gold) - Experience with data governance and security frameworks (Unity Catalog or similar) - Ability to assess legacy systems and define modernization or migration strategies Requirements - Excellent written and verbal English for clear and effective communication is a must! - 7+ years of experience working in data engineering, data architecture, or related roles. Benefits - 📚 Learning Opportunities: - Certifications in AWS (we are AWS Partners), Databricks, and Snowflake. - Access to AI learning paths to stay up to date with the latest technologies. - Study plans, courses, and additional certifications tailored to your role. - Access to Udemy Business, offering thousands of courses to boost your technical and soft skills. - English lessons to support your professional communication. - 👩‍🏫 Mentoring and Development: - Career development plans and mentorship programs to help shape your path. - 🎁 Celebrations & Support: - Special day rewards to celebrate birthdays, work anniversaries, and other personal milestones. - Company-provided equipment. - ⚖️ Flexible working options to help you strike the right balance. - Other benefits may vary according to your location in LATAM. For detailed information regarding the benefits applicable to your specific location, please consult with one of our recruiters.

• Design and implement scalable, high-performance data pipelines for structured and unstructured data • Build and maintain enterprise-grade data architecture across cloud and on-prem environments (AWS, Azure, or GCP) • Define and implement data modeling strategies (data warehouses, data lakes, real-time streaming) • Collaborate with business stakeholders to translate requirements into technical solutions • Ensure data quality, governance, security, and compliance across all data assets • Perform complex data analysis and support reporting and analytics initiatives • Evaluate and recommend modern tools, frameworks, and best practices in data engineering • Integrate data from multiple sources and optimize data performance • Provide technical direction and architectural guidance across data projects

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards. WHY JOIN US If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you! ABOUT THE ROLE This Senior Data Engineer (Python) role is central to transforming large, diverse datasets into reliable insights that support research and strategic decisions across a global financial platform. You will help shape a unified data ecosystem, partnering with data scientists, researchers, and stakeholders to connect technology with real business impact. What makes this opportunity unique is the scale of data, use of modern cloud, AI, and data engineering practices, and strong influence on platform evolution. It’s a chance to grow technically while contributing to a mission-driven, collaborative environment. WHAT YOU WILL DO - Design and build scalable Data Lakes, Data Warehouses, and Data Lakehouses; - Design and implement robust ETL/ELT processes at scale using Python and pipeline orchestration tools like Airflow; - Develop ingestion workflows from diverse third-party APIs and data sources; - Manage and optimize file formats such as Parquet, Avro, and ORC for high-performance data retrieval; - Work with AI development tools to support machine learning initiatives and advanced analytics; - Act as a technical consultant to gather requirements, understand business goals, and translate them into technical roadmaps; - Work with Terraform and other tools to build AWS and on-prem infrastructure. MUST HAVES - You must be authorized to work for ANY employer in the US, as employment visa sponsorship is not available; - Bachelor’s degree in computer science/engineering or other technical field, or equivalent experience; - 5+ years of experience with Python with strong hands-on expertise; - 5+ years of experience with data processing and analytics libraries such as Pandas, Polars, PySpark, and DuckDB; - 2+ years of experience with Big Data technologies such as Spark and Snowflake; - Expert-level knowledge of Airflow or similar pipeline orchestration tools; - Deep understanding of Medallion Architecture, columnar file formats, and database technologies including SQL, NoSQL, and Lakehouse architectures; - Proven ability to work with third-party APIs for complex data ingestion; - Proficiency with cloud platforms such as AWS, GCP, and Snowflake, including advanced SQL optimization; - Upper-intermediate English level. NICE TO HAVES - Familiarity with the fintech industry and financial data domains; - Documentation skills for data pipelines, architecture designs, and best practices; - OpenSearch or Elasticsearch; - AWS SageMaker Studio and Jupyter for data analysis; - Terraform; - Scala. PERKS AND BENEFITS - Professional growth: Mentorship, TechTalks, and personalized growth roadmaps. - Competitive compensation: USD-based pay with education, fitness, and team activity budgets. - Exciting projects: Modern solutions with Fortune 500 and top product companies. - Flextime: Flexible schedule with remote and office options.