Team Members are at the core of who we are; living our core values of making a difference, doing the right thing, making it easy, being caring, being friendly, nice, and respectful, and taking ownership. Perhaps Royal is the change you’re looking for. Royal Credit Union is looking for caring, energetic team members who want to create a positive impact in the lives of our Members. Is this you? If so, let us know by submitting an application! Are you passionate about transforming raw data into meaningful insights? Do you thrive in a collaborative, innovation‑driven environment? Become a Data Engineer at Royal Credit Union! In this role, you’ll help build our cloud‑based Business Intelligence platform, solve complex analytical challenges, and create data systems that empower teams across the organization. Why Royal? - Member and Community Focused: We are dedicated to making a positive impact on our Members and the communities we serve, going beyond financial services to enrich lives and foster growth. - Supportive Environment: Join a collaborative, values-driven workplace that is always evolving. We support each other and work together to achieve our goals. - Professional Growth: We offer numerous opportunities for training and advancement, helping you continuously develop and advance your skills. - Empowerment: We empower our team members to make decisions and drive initiatives that help our Members achieve their financial goals. Your ideas and contributions are valued and encouraged. - Community Involvement: Engage with your local community through various initiatives and events, making a tangible difference where you live and work. Be part of something bigger. What You’ll Do: The Data Engineer will work in a team that is building the Business Intelligence platform at Royal. This includes the use of various methods to analyze and transform raw data into useful cloud-based data systems. Involving increasingly complex level of data and statistical analysis in support of creating and shaping data systems, pipelines, and other business-related activities. Resolutions may require more in-depth quantitative analysis with non-routine solutions. Support line of business for all quantitative needs to include leading mid-size initiatives. Our Commitment To You: - Compensation: $99,600 - $131,900 (candidates with significant related experience may be higher. pay also depends on candidates location) - Benefits: Royal is proud to take care of our team members and their families! In addition to our comprehensive medical, dental, and vision insurance plans, Royal offers a 5% 401k employer match, paid family and sick leave, vacation and sick time accruals, childcare reimbursement, tuition and student loan debt assistance, pet insurance, and much more! What’s Needed For This Position: - Bachelor’s Degree or the Equivalent in Experience in software engineering, data engineering, data science, information systems, computer science, mathematics, machine learning, or related field of study - Three years’ experience in data engineering, data science, or software engineering experience, including knowledge of extensive data ecosystem - Must be bondable - Advanced data architecture and system design expertise, including experience working with multiple file structures (flat files, JSON, XML), building and maintaining cloud-based data systems, and developing scalable data infrastructures, pipelines, and warehouses. - Proficiency in modern programming and analytical tools, including strong skills in SQL, R, and/or Python, data management principles, and implementing cloud-based analytic solutions (AWS, Azure, etc.). - Strong data connectivity and integration capabilities, including working with APIs (REST/SOAP), ODBC/JDBC, HTTP webhooks, and overseeing data cleansing, standardization, and advanced analytic solution development. - Effective communication and collaboration abilities, including summarizing technical concepts for non‑technical audiences, working within Agile environments (Azure DevOps), using version control (Git, Kubernetes), and contributing to cross-departmental documentation and process improvement. - Exceptional problem‑solving and adaptability, with the ability to perform root‑cause analysis, handle ambiguity, juggle multiple projects, embrace change, and leverage technology solutions while respecting confidentiality and security standards. We’d Love To See: - Experienced in implementing Data and Advanced Analytic solutions, or related experience in the Cloud (AWS, Azure, etc.) - Experience implementing an end-to-end Cloud native platform for Datawarehouse (Snowflake, Databricks, Big Query, Redshift, etc.) - Experience with data connectivity methodologies such as APIs (Rest/Soap), ODBC/JDBC, HTTP web hooks, JSON, etc. - Intermediate experience with data management principles Work Schedule: - This is a full-time, exempt level position. Hours will generally be Monday through Friday, 8:00am – 5:00pm with occasional evening and weekend hours, as needed. - This position is eligible to be fully remote within the United States. Please note - Royal Credit Union reserves the right to determine remote status eligibility and the state we allow team members to work from. Training: - Prior to starting a normal work schedule, new Royal team members must attend Foundation Training at our Corporate Center in Eau Claire, WI from 9:00am - 4:30pm on Monday and Tuesday during their first week of employment. Out of town learners will be reimbursed costs related to travel and lodging. - Foundation Training covers fundamental information about Royal’s culture and core values which sets the stage for team members to be successful within our organization. Ready to make a positive impact? APPLY NOW if you are ready to take on this exciting challenge and become a part of the Royal Credit Union family! We will be communicating with you by email and/or text on the status of your application. Please monitor your email inbox and junk folder for status updates and additional instructions. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, protected veteran status or status as an individual with disability.

• Design and implement scalable cloud-native data architectures using Microsoft Fabric and Azure data services. • Define best practices for data governance, architecture standards, and platform scalability. • Build robust data models and data warehouse architectures to support analytics and AI workloads. • Design and develop high-performance ETL and ELT pipelines for large-scale data processing. • Build and maintain data pipelines using Python and SQL to process and transform complex datasets. • Ensure reliability, scalability, and performance optimization across data workflows. • Develop and manage data engineering workflows using Databricks, Spark, and Delta Lake. • Implement data ingestion frameworks and support large-scale data processing environments. • Optimize data pipelines for performance, reliability, and cost efficiency. • Design workflow orchestration using tools such as Airflow or Azure-native orchestration services. • Automate data processing pipelines and maintain operational reliability across systems. • Collaborate with machine learning teams to support LLM, NLP, and AI-driven data workflows. • Enable feature engineering and data pipelines that support advanced analytics and AI models. • Establish best practices for data architecture, pipeline management, documentation, and security. • Ensure compliance with enterprise data governance and quality standards.

ABOUT KLED Kled is building the largest opt-in human data network in the world. We are not a labeling firm. We are not a task marketplace. We are a consumer application where people upload their real photos, videos, and documents and get paid continuously. We then filter, standardize, and license that data to frontier AI labs and enterprises that need fresh, rights-aware training data. Since launching our mobile app in 2026, we have: • Reached #1 on the App Store (Finance) with 0 paid marketing • Scaled to 200,000+ active data contributors • Processed 1.5–3M uploads per day • Raised $5M+ from investors behind SpaceX, Airbnb, Coinbase, xAI, OpenAI, Anthropic, Spotify, Lyft, Uber, and more Our mission is to let anyone download the app and earn a real living wage from uploading their data. ABOUT THE ROLE Database & Infrastructure Engineer (Full-Stack Systems) We process millions of files per day and store hundreds of millions of media records. Your job is to make our data layer world-class. You will: • Optimize and scale our PostgreSQL (Supabase) infrastructure • Design indexing, partitioning, and query strategies for large-scale media datasets • Improve performance across ingestion, enrichment, and retrieval pipelines • Build internal tools for querying and auditing large datasets • Create customer-ready dataset sample packs • Design and automate dataset exports and delivery pipelines (S3, secure transfers, custom formats) • Work across backend, ML, and product teams to support new features This is not just DBA work. You’ll help design the systems that move and package the data powering frontier AI labs. WE’RE LOOKING FOR • Strong PostgreSQL expertise (indexing, partitioning, performance tuning) • Experience working with large datasets (100M+ records preferred) • Deep understanding of storage systems (S3 or similar object storage) • Strong backend experience (TypeScript, Python, or similar) • Comfort building internal tooling and automation scripts • Ability to move between database, backend, and infrastructure work Bonus: • Experience with data pipelines (ETL, transformation layers) • Experience with vector databases (pgvector, FAISS, Pinecone) • Experience delivering structured datasets to enterprise customers • DevOps experience (CI/CD, infra automation) • Experience working with media-heavy systems CURRENT STACK Backend • PostgreSQL (Supabase) — 188M+ media files • S3 storage • Deno / TypeScript edge functions • Python ML pipelines Frontend • SwiftUI (migrating to Flutter) COMPENSATION • Base salary: $150,000 - $250,000 • $150,000 – $350,000 equity • Benefits • Relocation support • SF HQ (SOMA) or remote We move fast and work hard (9–9 culture). If you're excited to build the world’s largest consumer app, let’s talk! GROWTH OPPORTUNITY You’ll join a team operating at the frontier of applied AI data infrastructure. We move fast and work 7 days a week. In this role, you’ll have the opportunity to: • Own core systems that power one of the largest human data networks in the world • Design infrastructure that directly influences what data trains next-generation AI models • Build at real scale - millions of uploads per day, adversarial environments, global contributors • Ship alongside a team that has built marketplaces, AI systems, and products used by millions If you’re excited to move fast, build systems that matter, and help define how human data powers frontier AI, let’s talk.

About tvScientific tvScientific is the first and only CTV advertising platform purpose-built for performance marketers. We leverage massive data and cutting-edge science to automate and optimize TV advertising to drive business outcomes. Our solution combines media buying, optimization, measurement, and attribution in one, efficient platform. Our platform is built by industry leaders with a long history in programmatic advertising, digital media, and ad verification who have now purpose-built a CTV performance platform advertisers can trust to grow their business. We are seeking a Staff Data Engineer to lead the design, implementation, and evolution of our identity services and data governance platform. This role is critical to ensuring trusted, privacy-safe, and well-governed data across the organization. You will work at the intersection of data engineering, identity resolution, privacy, and platform reliability. This is an individual contributor role, where you will work to define and implement a strategic vision for data engineering within the organization. What you'll do: - Identity Services: - Design and maintain a scalable identity resolution platform - Build pipelines and services to ingest, normalize, link, and version identity data across multiple sources - Ensure deterministic and probabilistic matching logic that is transparent, auditable, and measurable - Partner with product and analytics teams to expose identity data through reliable, well-documented APIs and datasets - Build and operate batch and streaming pipelines using modern data stack tools - Create clear documentation, standards, and runbooks for identity and governance systems - Data Governance & Trust - Own data governance foundations including data lineage, quality checks, schema enforcement, and access controls - Implement privacy-by-design principles (PII handling, consent enforcement, retention policies) - Collaborate with legal, privacy, and security teams to operationalize regulatory requirements (e.g., GDPR, CCPA) - Establish monitoring and alerting for data quality, freshness, and integrity What we're looking for: - Data engineering experience with proven track record building data infrastructure using Spark with Scala - Proven experience building data infrastructure using Spark with Scala for at least 5 years - Experience in delivering significant technical initiatives and building reliable, large scale services - Experience in delivering APIs backed by relationship-heavy datasets - Experience implementing data governance practices, including data quality, metadata management, and access controls - Strong understanding of privacy-by-design principles and handling of sensitive or regulated data - Familiarity with data lakes, cloud warehouses, and storage formats - Strong proficiency in AWS services - Successful design and implementation of scalable and efficient data infrastructure - High attention to detail in implementation of automated data quality checks - Effective collaboration with cross-functional teams - Excellent written and verbal communication skills - Bachelor's degree in Computer Science or a related field In-Office Requirement Statement: - We recognize that the ideal environment for work is situational and may differ across departments. What this looks like day-to-day can vary based on the needs of each organization or role. Relocation Statement: - This position is not eligible for relocation assistance. Visit our PinFlex page to learn more about our working model. #LI-SM4 #LI-REMOTE At Pinterest we believe the workplace should be equitable, inclusive, and inspiring for every employee. In an effort to provide greater transparency, we are sharing the base salary range for this position. The position is also eligible for equity. Final salary is based on a number of factors including location, travel, relevant prior experience, or particular skills and expertise. Information regarding the culture at Pinterest and benefits available for this position can be found here. US based applicants only $155,584—$320,320 USD