Business Data Engineer San Jose, California or Remote Location: Seattle, WA or Remote Annual salary: $140,000 - $170,000 USD Type: Full-time Reports to: Director, Analytics About this Role Nex’s user base is growing quickly, and the amount of data we’re working with is growing even faster. We are seeking an experienced and dedicated Data Engineer to join our Analytics department and help us streamline, future-proof, and automate our reporting processes as well as our data backend as we move into the next phase of the company’s growth. The ideal candidate for this role loves problem solving and tinkering, and feels the thrill of accomplishment when a long-standing issue or project is resolved. Strong attention to detail and dedicated follow-through are key. If you want to work on a small team, for a growing company, laying down framework that will be used and appreciated by teams across multiple disciplines, we want to hear from you! Core Responsibilities - Connect with cross-functional teams: The data environment we’re building will be used by members of the Accounting, Finance, Supply Chain, and Publishing teams, among others. Meet with them and get to know their needs so we can build things they’ll use for years. - Project Management: Keep track of & prioritize short-term and long-term projects. - Build & Support: Build new and improved ways for us to access & view data, and see to their steady functioning over time. - Investigate & Iterate: Keep an eye on how small improvements can be made to improve the cost and reliability of our data pipeline. Required Qualifications - 3+ years of experience as a Data Engineer or 5+ years of experience as a Business Intelligence Engineer. - Experience with the AWS suite of tools and solutions to run a data environment end-to-end. - Proven ability to work independently, without constant guidance. - Comfortable working in ambiguous environments that require iteration & investigation. - Strong track record of working with cross-functional teams across disciplines such as marketing, product, engineering, and finance/accounting. Preferred Qualifications - Experience automating complex datasets, using SQL, Python, or another similar tool. - Experience with building and maintaining APIs to connect data environments and pull raw data from various sources. - Previous experience with data environments for digital gaming platforms or subscription services. - Ability to thrive and create without the use of AI tools as a baseline. What Sets You Apart - Creative solutions to complex problems - Proactive approach to projects - Ability to thrive in a fast-paced environment - Experience working with teams from different cultures and backgrounds - You’re an expert on your own work & can back up your results - Good-natured and easy to work with #LI-Remote We Offer - Competitive compensation package. - Flexible working hours and vacation policy. - Product-driven culture that treasures talents and individual growth. - Front-row seat and hands-on experience with cutting edge technologies in the evolving gaming field

Role Description Client is seeking an experienced Data Spoke Technical Lead to support the People Data domain within a federated enterprise data organization. This role will serve as the primary liaison between business stakeholders, IT, data engineering, and data governance teams, ensuring successful delivery of People Data initiatives while driving governance adoption and technical alignment. This is primarily a technical leadership and coordination role (70%), with a focus on governance execution (20%) and limited hands-on technical support (10%). Responsibilities - Data Spoke Leadership & Delivery - Support execution of the People Data roadmap and priorities. - Manage intake, triage, prioritization, and tracking of data-related work requests. - Maintain and govern backlogs, ensuring alignment with business priorities and enterprise strategy. - Coordinate across business, IT, data engineering, and governance stakeholders. - Facilitate Agile ceremonies including backlog reviews, sprint planning, and status updates. - Provide visibility into delivery progress, risks, and dependencies. - Data Governance - Drive adoption of governance practices within the People domain. - Support metadata management, data ownership, stewardship, classification, and retention activities. - Partner with Data Owners and Data Stewards to execute governance responsibilities. - Monitor and report on governance and data quality KPIs. - Technical Leadership - Provide technical leadership for People Data solutions and assets. - Support SQL-based data modeling, including dimensional modeling and Slowly Changing Dimensions (SCD). - Guide data pipeline and integration initiatives using Azure Data Factory or similar technologies. - Support data warehouse and semantic model design. - Assist with troubleshooting and solution design in partnership with engineering teams. - Contribute to DevOps processes including backlog management, epics, and user stories. Qualifications - 10+ years of experience in Data Management, Data Engineering, Analytics, or Business Intelligence. - Experience working within enterprise data governance frameworks. - Proven experience leading or supporting a data domain or business-facing data function. - Strong experience operating within a hub-and-spoke or federated data model. - Demonstrated success coordinating across business, IT, data engineering, and governance teams. - Advanced SQL and data modeling expertise, including dimensional modeling and SCD concepts. - Experience with data pipelines and ingestion frameworks such as Azure Data Factory or equivalent. - Experience with data warehouse and semantic model design. - Strong stakeholder management, communication, and delivery coordination skills. - Experience with Agile delivery methodologies and DevOps backlog management. Preferred Qualifications - Experience supporting HR, People, Workforce, or Human Capital data domains. - Experience with Power BI, including data modeling, DAX, and reporting. - Familiarity with Azure Databricks and the broader Azure Data Platform ecosystem. - Working knowledge of C# or similar programming languages. - Experience with Collibra or other metadata management and data catalog tools. - Experience implementing data ownership, stewardship, and governance operating models. - Master's degree in Information Systems, Computer Science, Data Analytics, or a related discipline.

Role Description Designs and develops scalable solutions using AI tools and machine-learning models. - Performs research and testing to develop machine learning algorithms and predictive models. - Utilizes big data computation and storage tools to create prototypes and datasets. - Conducts model training and evaluation. - Integrates, tests, tunes, and monitors solutions. - Proficient with multiple AI tools such as Python, Java, or R and machine learning frameworks like Spark, TensorFlow, or scikit-learn. Requires a master's degree in computer science, mathematics, engineering or equivalent. Typically reports to a manager or head of a unit/department. - P05-Expert: Works autonomously. Goals are generally communicated in "solution" or project goal terms. - May provide a leadership role for the work group through knowledge in the area of specialization. - Works on advanced, complex technical projects or business issues requiring state of the art technical or industry knowledge. - Typically requires 10+ years of related experience. Qualifications - Master's degree in computer science, mathematics, engineering or equivalent. - 10+ years of related experience. Requirements - Proficient with AI tools such as Python, Java, or R. - Experience with machine learning frameworks like Spark, TensorFlow, or scikit-learn. Company Description

Role Description We are seeking a Software Engineer to help build and scale a graph-database-backed social listening platform. This role sits at the intersection of backend data infrastructure and front-end visualization, supporting a product that ingests high-volume social and web data in real time and visualizes complex network relationships. The ideal candidate is comfortable working across graph databases, streaming data pipelines, and modern front-end frameworks, and thrives in a fast-moving, early-stage engineering environment. - Design, build, and maintain backend services that interface with graph databases to model and query complex relationship data - Develop and maintain real-time data ingestion pipelines handling high-throughput social and web data - Build and optimize web scraping and crawler infrastructure to support continuous data collection - Develop front-end features and dashboards that visualize network and relationship data in an intuitive, performant way - Collaborate cross-functionally to translate product requirements into scalable technical solutions - Write clean, maintainable, well-tested code across the stack - Troubleshoot performance bottlenecks across data ingestion, storage, and visualization layers Qualifications - Hands-on experience with graph databases (such as Neo4j, TigerGraph, Dgraph, ArangoDB, or Amazon Neptune) and graph query languages (such as Cypher or Gremlin) - Experience with real-time/streaming data infrastructure (such as Kafka, Kinesis, Flink, or Spark) - Strong proficiency in at least one backend language such as Python, Go, or Node.js/TypeScript - Front-end development experience with React, Next.js, and TypeScript - Experience building or working with data pipelines, ETL processes, or web scraping/crawler infrastructure - Comfortable working in a high-growth, early-stage engineering environment with evolving priorities - Must be authorized to work in the United States without sponsorship Preferred Qualifications - Experience with data visualization libraries such as D3, Cytoscape, Sigma.js, vis.js, or Recharts, particularly for graph/network visualizations - Experience with social listening, social media data, or large-scale web data platforms - Familiarity with Elasticsearch, OpenSearch, Redis, or Airflow - Prior experience at a seed-to-Series B startup - Experience with AWS, GCP, Docker, or Kubernetes Tools & Technology - Graph database platforms (Neo4j, TigerGraph, Dgraph, ArangoDB, or similar) - Streaming/data pipeline tools (Kafka, Spark, Flink, or similar) - React, Next.js, TypeScript - Python, Go, or Node.js - Cloud infrastructure (AWS/GCP), Docker, Kubernetes