This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description Trumid is seeking a Data Engineer to join our Data & Intelligence team and build the next generation of the real-time data platform that powers Trumid’s pricing algorithms and machine learning systems. - Our pricing infrastructure relies on low-latency, event-driven data pipelines that deliver market and operational data to production algorithms with sub-second latency. - These systems directly support Trumid’s Fair Value Model Pricing (FVMP) and other core data products used across the platform. - This role focuses primarily on real-time streaming infrastructure and distributed data systems that support production algorithms. - It will also include occasional contributions to the batch workloads that the team supports for both research and reporting use cases. - This position is U.S.-based, with remote or hybrid options available. Candidates located in the New York City area are preferred. Qualifications - 2–5 years building production data systems or backend infrastructure. - Strong programming skills in Python and SQL. - Experience building or operating streaming or event-driven data pipelines (Kafka, Flink, or similar systems). - Familiarity with distributed systems or real-time data processing architectures. - Experience operating production systems in cloud environments. - Strong problem-solving skills and interest in building reliable data infrastructure. - You enjoy building high-performance data systems, working closely with experienced engineers, and contributing to infrastructure that powers real-time decision-making. Requirements - Lead the architecture and development of streaming data pipelines that deliver market and operational data to pricing algorithms with sub-second latency, relying on technologies such as Kafka and Flink. - Ensure production SLAs are met for systems that directly impact pricing and trading workflows. - Collaborate with quantitative researchers, data scientists, and engineers to deliver reliable data inputs for modeling and backtesting. - Contribute to the broader data platform, including batch pipelines and data modeling workflows when needed. Benefits - Highly competitive compensation. - Fully paid medical, dental and vision coverage. - Team-oriented and collaborative company culture. - Flexibility for in-office and work from home arrangements. - In compliance with New York City Pay Transparency Law, the base salary range for this role in New York City is between $175,000 - $225,000. - This range does not include discretionary bonus or other forms of compensation or benefits offered in connection with this job. - Several factors are considered when determining a candidate’s compensation.

• Design, develop, and maintain robust, scalable ETL/ELT pipelines for ingesting, transforming, and storing data from multiple sources into centralized repositories. • Lead the design, development, and deployment of interactive Power BI dashboards and reports. • Ensure consistency, usability, and performance of BI solutions across the organization. • Create and optimize data models to support self-service analytics and enterprise reporting. • Partner with stakeholders across departments to gather requirements, translate business needs into technical solutions. • Optimize database queries, DAX calculations, Power BI datasets, and storage models for efficiency and scalability. • Implement data governance practices, establish validation rules, and maintain high standards for data integrity and accuracy. • Maintain thorough documentation of data architecture, data flows, and reporting standards. • Promote best practices in BI development and data engineering

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description Diné Source is seeking an expert Senior Database Modeler to design, implement, and maintain the highly secure Oracle database environment. The ideal candidate will be a subject matter expert in advanced Oracle security features and will be responsible for translating stringent Zero Trust and IL5 security requirements into a robust, scalable, and enforceable database architecture. You will be the primary steward of the database schema and its underlying security model, ensuring data is protected at every layer through sophisticated access controls and encryption. Qualifications - Working experience as an Oracle Database Modeler, Database Architect, or a similar role in a security-focused environment. - Deep, hands-on expertise with implementing and managing advanced Oracle security features, specifically: - Oracle Label Security (OLS) - Oracle Database Vault (DV) - Proven track record of designing and building secure data access APIs using PL/SQL packages, stored procedures, and views. - Strong proficiency in PL/SQL and a deep understanding of how to build a secure, definer-rights-based API layer. - Expert knowledge of Oracle's session context mechanisms (SYS_CONTEXT, DBMS_SESSION) and their use in enforcing security policies. - Solid understanding of relational database design principles and performance tuning. - Familiarity with secure network connectivity concepts for databases (e.g., TCPS/TLS). Requirements - Experience designing database solutions for compliance with government or military security standards (e.g., DoD IL5, DISA STIGs). - Practical experience applying Zero Trust security principles to a database environment. - Hands-on experience with Oracle Transparent Data Encryption (TDE) and Oracle Data Redaction. - Familiarity with high-availability Oracle solutions such as Real Application Clusters (RAC) or Data Guard. - Understanding of application-level concerns, including JDBC connection pooling and the challenges of context management. - Knowledge of enterprise identity management (e.g., Microsoft Entra ID) and secrets management solutions (e.g., HashiCorp Vault, CyberArk). Company Description Diné Development Corporation (DDC) is a Navajo Nation owned family of companies that delivers IT, professional, and environmental solutions to advance the missions of federal, state, and tribal government agencies. As thought leaders and innovators, our team of specialists build client-centric solutions that solve critical challenges faced by defense, civilian, and healthcare organizations. Employing a mission-focused approach, we deliver value that not only enhances current operations, but also drives future change. Closely aligned with this approach is our commitment to advancing the Navajo Nation and its People. Through economic development and community empowerment, we elevate the Navajo Nation to provide lasting impact and sustainable growth for future generations. DDC’s ability to unite legacy-inspired technologies, industry best practices, and proven methodologies has contributed to our success for twenty years.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description Samsara’s Revenue Operations AI & Data Team is building the future of how we go to market — with intelligence, personalization, and speed. We’re a high-impact team of builders, scientists, and strategists focused on transforming sales operations through AI. Our mission is to help sellers reach the right customer at the right time with the right message — and to put everything they need at their fingertips, whether that’s data from Salesforce, context from a past call, or content that wins deals. As a Data Engineer II , you’ll own the data platforms that power Samsara’s GTM AI engine. You’ll be responsible for: - Building, scaling, and optimizing our Databricks data store, visualization store, and AI store. - Enabling large-scale generative AI jobs in Databricks. - Ensuring that our AI applications are grounded in clean, reliable, and well-structured data from CRM pipelines, CS Systems to GenAI-powered copilots. - Partnering closely with data scientists, AI engineers, and business stakeholders to deliver the infrastructure that fuels innovation at scale. This role is open to candidates residing in the US except the San Francisco Bay Metro Area, NYC Metro Area, and Washington, D.C. Metro Area. You should apply if: - You want to impact the industries that run our world. - You are the architect of your own career. - You’re energized by our opportunity. - You want to be with the best. In this role, you will: - Build and maintain ETL/ELT data pipelines in Databricks and Spark, ensuring data is ingested, transformed, and delivered reliably for analytics and AI use cases. - Develop and evolve logical and physical data models to support reporting, experimentation, and advanced workflows (e.g., scoring models, signal generation). - Implement monitoring, alerts, and testing for data quality, timeliness, and lineage to ensure trustworthy data delivery. - Support workflow orchestration with Databricks Jobs, DBT, or equivalent scheduling tools to operate at scale. - Contribute to data pipelines and tooling that support retrieval-augmented generation (RAG), vector integrations, or embedding workflows. - Design and optimize bulk GenAI data pipelines in Databricks to support generative AI applications at scale. - Partner with AI engineers and data scientists to enable experimentation, model training, and production-grade deployments. - Develop frameworks for data ingestion, transformation, governance, and monitoring across CRM, sales, and revenue systems. - Work with RevOps, sales, and customer success stakeholders to translate business needs into data requirements and stable technical implementations. Qualifications - 2-3 years of industry experience in data engineering, with significant experience building large-scale data platforms. - Hands-on experience working with modern data technologies stack, such as Databricks, DBT, Redshift, RDS, Snowflake or similar solutions. - Proficiency in Python and SQL, with experience in designing robust ETL/ELT pipelines. - Experience orchestrating data workflows at scale and enabling machine learning or AI use cases. - Strong understanding of data modeling, performance optimization, and cost-efficient infrastructure design. - Located in and authorized to work in the United States (this is a fully remote role). Requirements - Experience enabling generative AI workflows in Databricks or similar platforms. - Familiarity with vector databases, embeddings, and retrieval systems. - Experience with Salesforce, Gainsight, Gong, Outreach, or other CRM/enablement tools as data sources. - Proven ability to automate repetitive tasks, improve data hygiene, and enable experimentation across GTM data use cases. - Exposure to observability, monitoring, and governance best practices for data and AI systems. - Ability to collaborate closely with AI/ML teams while driving technical excellence in data engineering. Benefits - Annual on-target earnings (OTE) range for full-time employees for this position is $101,745 — $153,900 USD. - Above-market total compensation through a combination of base salary, performance-based bonus/variable pay, and equity (for eligible roles). - Flexible, employee-led remote model. - Professional development stipend. - Comprehensive health and parental leave plans.