• 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.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description As a Data Ingestion Specialist on our Data Ingestion & Care Enablement (DICE) team, you’ll be part of the horizontal layer that keeps partner and vendor data flowing reliably into Thyme Care. In this position, you will collaborate closely with our Product Manager and other Data teammates focused on data ingestion and analytics engineering. You’ll work across many deals and data sources, supporting Data Scientist deal owners by making ingestion consistent, debugging failures, and raising the reliability bar through better tests, monitoring, and data contracts. In the course of your work you should also expect to: - Gain a deep understanding of our data platform and contribute to improving our data models and pipelines using SQL, dbt, and python (generally data-focused packages, e.g., pandas, polars) - Support ingestion of a wide range of healthcare-related sources (claims, eligibility, prior auth, ADT, etc.) by: - Configuring net-new ingestions (parsing file specs, validating assumptions, communicating inconsistencies) - Debugging issues in ongoing ones - Helping standardize our processes and pipelines - Collaborate with data scientist deal owners and internal stakeholders to turn messy, ambiguous requirements into concrete mapping/validation logic and durable data contracts - Use Dagster and GitHub Actions to orchestrate and automate the early stages of our data pipelines, improving run reliability and reducing manual intervention - Work hands-on with raw data using Jupyter Notebooks in Databricks to investigate data issues, validate assumptions, and unblock processing - Design and support incremental data loads (append/merge/upsert patterns) and safe reprocessing (idempotent runs, late-arriving data, backfills) - Learn to use Datadog and PagerDuty to monitor pipelines, triage incidents during business hours, communicate impact clearly, and drive root-cause fixes to prevent recurrences - Contribute to a complex, self-hosted dbt monorepo: implement transformations, incremental models, tests, documentation, and conventions that scale across deals Qualifications - Strong SQL skills - Familiarity with dbt (and an interest in ramping up your expertise), including working in larger/complex projects - Working knowledge of Python for data investigation in notebooks - Experience operating data pipelines: debugging failures, tracing issues across systems, and communicating clearly about root cause and mitigation - Experience with testing and data quality: writing and maintaining tests and using failures/alerts to drive durable fixes - Responsiveness and the ability to stay calm and organized when triaging failing ingestion runs or pipelines - Willingness to learn new domains and tools quickly (new partner file formats, evolving standards, Databricks), and apply feedback without ego - The ability to engage technical and non-technical stakeholders to explain what’s happening in our pipelines and identify opportunities to improve transparency and alerting - Nice-to-have: healthcare data exposure (claims/eligibility/ADT/etc.) Requirements - Act with our members in mind: Thyme Care’s mission, and in particular our member experience, matters deeply to you. - Move with purpose: You’re biased to action. You know how to identify and prioritize your initiative’s needs, and do what it takes to ensure that urgent and important needs are acted on immediately. - Seek diverse perspectives: You are humble and actively seek feedback from others, eager to learn and share knowledge. - Reliability mindset: You treat recurring failures as solvable system problems and systematically reduce them with testing and automation. - Practical judgment: You know when to ship a safe fix now vs. invest in a sturdier improvement, and you document the why. - Clear collaboration: You work smoothly with DS, PM, and Platform counterparts, understanding competing priorities and turning ambiguity into concrete next steps. - Comfort with ambiguity: You have a successful track record working at scaling organizations, in fast-paced environments, and at ambitious startups. You navigate through challenges and find solutions in uncertain situations. Benefits - Base salary for this role is $139,500-$155,000. - Salary ranges are based on paying competitively for our size and industry, and are one part of the total compensation package that also includes equity, benefits, and other opportunities at Thyme Care. - Individual pay decisions are based on several factors, including qualifications, experience level, skillset, and balancing internal equity relative to other Thyme Care employees. Company Description We recognize a history of inequality in healthcare. We’re here to challenge the status quo and create a culture of inclusion through the care we give and the company we build. We embrace and celebrate a diversity of perspectives in reflection of our members and the members we serve. We are an equal-opportunity employer.