Work at DaCodes!We are a high-impact software and digital transformation firm. For over 10 years, we have developed technology and innovation-driven solutions thanks to our team of nearly 300 talented #DaCoders, including developers, architects, UX/UI designers, PMs, QA testers, and more. Our team collaborates on projects with clients across LATAM and the United States, delivering outstanding results. At DaCodes, you will have the opportunity to accelerate your professional growth, work on diverse projects across multiple industries, and contribute to the design, implementation, and optimization of cloud-based and data-driven solutions. Our DaCoders have a significant impact on the success of both our business and our clients. You will be the expert participating in our projects and will gain exposure to disruptive startups and global brands. Interested? We are seeking a Senior Graph Data Engineer to join a strategic initiative focused on evaluating and benchmarking enterprise-scale knowledge graph technologies. This role combines hands-on data engineering, graph database implementation, performance testing, and technical analysis to determine the best technology stack for large-scale graph-based workloads. The ideal candidate is passionate about data platforms, graph technologies, performance optimization, and evidence-driven engineering decisions. You will work closely with engineering and architecture leaders to assess multiple graph database platforms and provide technical recommendations based on measurable results and enterprise requirements.

Senior Data Engineer San Francisco or Denver Engineering / Full-Time / Hybrid Windfall is seeking a Sr. Data Engineer to join our data team. As a Sr. Data Engineer on our data team, you will be building out the core data asset that everything else at Windfall is built on top of. Communication and collaboration are at the heart of Windfall, and you will work closely with our product, data science, and other engineering teams. You will personally design and build the pipelines for massive datasets, taking them all the way from inception to exploration to production and customer use. We’re on a mission to change how organizations perceive and use people data. And we hold true to our core values of: (1) Be an excellent communicator; (2) Operate with transparency; (3) Provide leverage, not optimization; (4) Win When Our Customers Win; and (5) Act with integrity and trust. Responsibilities: - Construct data pipelines to ingest and merge billions of individual entities into Windfall’s core data asset - Work closely with our data science team to run ML models on top of billions of data points - Build supporting data services and applications to orchestrate and monitor our data systems Some technology you will use: - Cloud platform - GCP - Programming languages - Java, Python, and Kotlin - Data warehouse & databases - BigQuery, Postgres, Scylla/Cassandra - Distributed processing frameworks - Dataflow (Apache Beam) and Apache Spark - Orchestration - Airflow Requirements: - 4-8 years of professional data engineering experience - Significant experience working with Apache Beam/Spark/Flink or MapReduce - Strong Object-oriented programming ability in a JVM language - Expert knowledge of distributed data processing - Familiarity with different datastores, their differences, and appropriate usages - Experience at a sub-200 person company - You communicate as well as you code - You can simplify complex problems into simple solutions - You balance a strong sense of ownership and responsibility in your work with collaboration and team alignment - You are comfortable making trade-offs between quality, complexity, and speed-of-delivery Preferred Qualifications: - Proven experience taking a large project from ideation to production - Experience leading greenfield projects - Working knowledge of cloud-native data engineering infrastructure Additional Information: The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across California and Colorado. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. We also offer a comprehensive benefits package, which you can explore on our careers site Compensation range: $170,000 - $220,000 a year About Windfall Windfall is a people intelligence and AI company that gives go-to-market teams actionable insights. By democratizing access to people data, organizations can intelligently prioritize go-to-market resources to drive greater business outcomes. Powered by best-in-class machine learning and artificial intelligence, Windfall activates insights into workflows that engage the right people for each respective organization. More than 1,500 data-driven organizations use Windfall to power their business. For more information, please visit www.windfall.com. We comply with CCPA. For more information on how we comply, review our privacy notice. Windfall is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We may use AI tools to assist parts of the hiring process, such as reviewing applications or analyzing resumes. These tools assist our team and do not replace human judgment. Final hiring decisions are made by people.

• Own the long-term design and architecture of the enterprise data ecosystem, including ingestion, storage, modeling, lineage, governance, and analytics layers. • Design scalable lakehouse, Delta Lake, and distributed data architectures supporting advanced analytics, operational workflows, and integration across business domains. • Lead enterprise-wide modernization projects: warehouse migrations, domain modeling redesigns, governance uplift, streaming adoption, or cross-cloud data integrations. • Define and enforce standards for data modeling, lineage, metadata, MDM, quality, security, and compliance across all data teams. • Create reusable architectural patterns, frameworks, orchestrations, and platform components adopted across engineering groups. • Solve the most complex technical problems, including distributed system bottlenecks, data quality crises, lineage gaps, and multi-domain data reconciliation issues. • Guide cost optimization strategy for compute, storage, and orchestration workloads across the data platform. • Partner with enterprise architecture, analytics, InfoSec, product, and application engineering to ensure alignment with organizational strategy. • Influence leadership decisions regarding data strategy, platform investments, tooling, and sprint/roadmap priorities. • Mentor senior engineers, conduct design reviews, and provide technical leadership across teams to raise the overall engineering bar.

Role Description We are seeking a Senior Graph Data Engineer to join a strategic initiative focused on evaluating and benchmarking enterprise-scale knowledge graph technologies. This role combines hands-on data engineering, graph database implementation, performance testing, and technical analysis to determine the best technology stack for large-scale graph-based workloads. The ideal candidate is passionate about data platforms, graph technologies, performance optimization, and evidence-driven engineering decisions. You will work closely with engineering and architecture leaders to assess multiple graph database platforms and provide technical recommendations based on measurable results and enterprise requirements. Main Responsibilities - Design and execute large-scale graph database evaluations and benchmarking initiatives. - Extract, transform, and load data from Databricks into multiple graph database platforms. - Build and maintain graph structures, entity relationships, and linkages that replicate production-grade data models. - Implement benchmark workloads using graph query languages such as Cypher, GSQL, openCypher, nGQL, or AQL. - Develop PostgreSQL baseline implementations using recursive CTEs and advanced querying techniques. - Design and build APIs to evaluate real-world query performance and scalability. - Analyze execution plans, indexing strategies, and query optimization opportunities. - Continuously provision, configure, and tear down database environments for controlled testing. - Document findings, benchmark results, technical trade-offs, and recommendations. - Collaborate with architects, data engineers, and technical leadership teams throughout the evaluation process. - Participate in architecture discussions and contribute to strategic technology decisions. Qualifications - 6+ years of experience in Data Engineering, Database Engineering, or Data Platform development. - 3+ years working with enterprise-scale data platforms. - Proven experience designing and executing technology evaluations and performance benchmarks. - Experience working with distributed systems and large-scale data environments. Required Technical Skills - Strong Databricks experience. - Advanced SQL and PostgreSQL expertise. - Deep knowledge of: - Recursive CTEs - Query optimization - Query plan analysis - Indexing strategies - Materialized views - Hands-on experience with at least two graph database technologies, preferably: - Neo4j - TigerGraph - Nebula Graph - ArangoDB - Memgraph - Strong Cypher knowledge. - Experience building APIs for data access and performance testing. - ETL/ELT development experience. - Git and version control best practices. Nice to Have - AWS-native database deployments. - Kubernetes for database workloads. - Knowledge Graph architecture experience. - KYC / AML domain knowledge. - Data modeling for highly connected datasets. - Experience comparing graph databases against relational database solutions. Soft Skills - Strong analytical and problem-solving abilities. - Excellent communication and documentation skills. - Ability to present technical findings to leadership teams. - Ownership mindset and accountability. - Data-driven decision making. - Ability to work independently in ambiguous environments. - Strong collaboration skills within distributed teams. Education - Bachelor's degree in Computer Science, Software Engineering, Information Systems, Data Science, or related field. - Master's degree is a plus. Additional Requirements - Advanced English (C1+ preferred). - Remote position. - Candidates located in LATAM or Mexico. - Availability to collaborate with teams across the Americas time zones. Benefits - 🚀 Integration into global brands and disruptive startups. - 🏠 Remote work/Home office. - 📌 If a hybrid or on-site modality is required, you will be informed from the first session. - ⏰ Schedule aligned with the assigned project/work cell. - 📅 Monday to Friday work schedule. - 🎂 Day off on your birthday. - 🏥 Major medical insurance (applies to Mexico). - 🛡️ Life insurance (applies to Mexico). - 🌎 Multicultural teams. - 📚 Access to courses and certifications. - 🎤 Meetups with special guests from the IT industry. - 🤝 Virtual integration events and interest groups. - 🇺🇸 English classes. - 📈 Opportunities within our different business lines. - 🏆 Proudly certified as a Great Place to Work.