Remote Data Engineering & Analytics Jobs

Description Keeper is hiring a talented Senior DataDog Engineer to join our DevOps team. This can be a 100% remote position from select locations with an opportunity to work a hybrid schedule for candidates based in the El Dorado Hills, CA or Chicago, IL metro area. Keeper’s cybersecurity software is trusted by millions of people and thousands of organizations globally. Keeper is published in 23 languages and sold in over 150 countries. Join one of the fastest-growing cybersecurity companies and help scale the Datadog platform that supports Keeper’s security visibility, detection maturity and operational readiness. About Keeper Keeper Security is one of the fastest-growing cybersecurity software companies that protects thousands of organizations and millions of people in over 150 countries. Keeper is a pioneer of zero-knowledge and zero-trust security built for any IT environment. Its core offering, KeeperPAM®, is an AI-enabled, cloud-native platform that protects all users, devices and infrastructure from cyber attacks. Recognized for its innovation in the Gartner Magic Quadrant for Privileged Access Management (PAM), Keeper secures passwords and passkeys, infrastructure secrets, remote connections and endpoints with role-based enforcement policies, least privilege and just-in-time access. Learn why Keeper is trusted by leading organizations to defend against modern adversaries at . About the Job This is a Datadog-first security engineering role focused on detection engineer

🌍 Hello World! We are The Codest - International Tech Software Company with tech hubs in Poland delivering global IT solutions and projects. Our core values lie in “Customers and People First” approach that prioritises the needs of our customers and a collaborative environment for our employees, enabling us to deliver exceptional products and services. Our expertise centers on web development, cloud engineering, DevOps and quality. After many years of developing our own product - Yieldbird, which was honored as a laureate of the prestigious Top25 Deloitte awards, we arrived at our mission: to help tech companies build impactful product and scale their IT teams through boosting IT delivery performance. Through our extensive experience with product development challenges, we have become experts in building digital products and scaling IT teams. But our journey does not end here - we want to continue our growth. If you’re goal-driven and looking for new opportunities, join our team! What awaits you is an enriching and collaborative environment that fosters your growth at every step. Project description: Our client is one of the largest e-commerce platforms in Europe, used by millions of users every day. The company connects sellers - from small businesses to global brands - with customers, offering a vast product selection, fast delivery, and a well-crafted shopping experience. The role: Development and automation of tools in the Data Platform area Supporting the Client's produ

Job Title: Dir, Innovative Customer Data Product Lead Job Location: Remote Position (USA), Remote, US, US Job Location Type: Remote Job Contract Type: Full-time Job Seniority Level: Job ID REQ-10086342 Aug 21, 2026 USA Summary This position can be based remotely anywhere in the U.S. (there may be some restrictions based on legal entity). Please note that this role would not provide relocation as a result. The expectation of working hours and travel (domestic and/or international) will be defined by the hiring manager. This position will require 20% travel. Job description summary This Director, Innovative Customer Data Product Lead, sits within Data Products and Foundations, under Data Partnerships, Innovation and Products. The role reports to the Executive Director, Innovative Data Offerings and Products and partners closely with DEO (Data Enablement Organization) to execute the strategy set for trusted, reusable, AI-ready data products. This role owns customer-facing data products across payer, HCP, omnichannel, and engagement domains, defining the vision, roadmap, prioritization, adoption plan, and value measures needed to improve customer targeting, segmentation, omnichannel orchestration, field execution, payer insights, and engagement performance. The Director will ensure products are defined in innovative ways that go beyond datasets, embedding business meaning, rules, metrics, lineage, metadata, and context so they can be reused by business users, analytics teams, and

Job Title: Dir, Innovative Patient Data Product Lead Job Location: Remote Position (USA), Remote, US, US Job Location Type: Remote Job Contract Type: Full-time Job Seniority Level: Job ID REQ-10086343 Aug 21, 2026 USA Summary This position can be based remotely anywhere in the U.S. (there may be some restrictions based on legal entity). Please note that this role would not provide relocation as a result. The expectation of working hours and travel (domestic and/or international) will be defined by the hiring manager. This position will require 20% travel. Job description summary This Director role sits within Data Products and Foundations, under Data Partnerships, Innovation and Products. The role reports to the Executive Director, Innovative Data Offerings and Products and partners closely with DEO (Data Enablement Organization) to execute the strategy set for trusted, reusable, AI-ready data products. This role owns patient-centric data products across patient journey, SP/ASOC, hub, and access domains, defining the vision, roadmap, prioritization, adoption plan, and value measures needed to improve patient identification, access, treatment initiation, adherence, persistence, and out-comes. The Director will ensure products are defined in innovative ways that go beyond datasets, embedding business meaning, rules, metrics, lineage, metadata, and context so they can be re-used by business users, analytics teams, and AI-enabled solutions. About the Role Key Responsibilities: Ow

Job Title: Dir, SP/ASOC Data Partnerships Lead (Specialty Pharmacy)/ (Alternative Sites of Job Location: Remote Position (USA), Remote, US, US Job Location Type: Remote Job Contract Type: Full-time Job Seniority Level: Job ID REQ-10086346 Aug 21, 2026 USA Summary This position can be based remotely anywhere in the U.S. (there may be some restrictions based on legal entity). Please note that this role would not provide relocation as a result. The expectation of working hours and travel (domestic and/or international) will be defined by the hiring manager. This position will require 20% travel. Job description summary The Data Innovation, Partnerships and Products (DIPP) team sits within the Data Products and Foundations pillar of Strategy, Platforms and Transformation (SPT) and enables trusted, scalable data access and partnerships that support improved decision-making across Novartis. The Director, SP/ASOC Data Partnerships Lead (Specialty Pharmacy/Alternative Sites for Care) will establish and lead a centralized COE that brings clear ownership, structure, and operational discipline to contracting, vendor oversight, onboarding, issue coordination, and high-quality data delivery across this expanding data ecosystem, working closely with the Data Monitoring and Standards team to support ongoing monitoring and adherence to data standards. This role will lead the SP/ASOC (Specialty Pharmacy/Alternative Sites of Care) Data Center of Excellence across multiple specialty pharmacies,

Description About the Team The Enterprise Data & Data Science organization provides centralized product, platform, and technology support for Data Science teams across Liberty Mutual . Our team focuses on enabling the development, deployment, and adoption of AI/ML solutions through shared platforms, reusable capabilities, and enterprise-scale data science practices. We partner closely with Data Scientists, Engineers, Architects, and business stakeholders to accelerate innovation, improve operational efficiency, and help deliver business value through AI and machine learning. Description The Director, Data Science Product Management supports the organization, prioritization, and delivery of a portfolio of data science work that enables machine learning and AI solutions across Liberty Mutual . This role develops and drives product vision, represents the voice of the customer, and partners closely with Data Scientists, Engineers, Architects, and business stakeholders to deliver measurable business value. This role serves as the Product Owner for a portfolio of data science enablement capabilities, partnering with engineering teams to translate customer needs into prioritized roadmaps, backlogs, and delivered solutions. This role is ideal for a candidate who combines strong data science or technical expertise with product thinking and stakeholder leadership. Success requires the ability to understand the needs of Data Scientists, evaluate technical solutions, and translate co

About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey . Position: Network Engineer - Data for Autonomous Systems annotation Type: Contract Compensation: $50–$70/hour Location: Remote Commitment: 30–40 hours/week Role Responsibilities Review real-world data from deployed networks, including logs, configs, telemetry, and event streams. Label and classify network behaviors, issues, anomalies, and incident patterns. Help define schemas and structure for large-scale data pipelines that downstream ML models will train on. Collaborate with client teams to ensure data accuracy and relevance. Work independently and asynchronously to meet deadlines while improving AI model performance . Qualifications Must-Have Experience as a Level 3 / Tier 3 / Principal Support Engineer with on-call rotation, RCAs, and final escalations. Hands-on experience with end-customer enterprise networks, including switches, APs, and firewalls. Proficiency in Wi-Fi/wireless technologies, including Cisco WLC , Aruba , Meraki , 802.1X/RADIUS , and wireless troubleshooting. Ability to perform packet-level troubleshooting with Wireshark , tcpdump , and SPAN captures. Authorization to work in the US or Canada without sponsorship. Compensation & Legal 1099 contract paid to a personal account. Application Process (Takes 20–30

About Optimus Information Optimus Information is a premier IT consulting company and a recognized Microsoft Solution Partner. We specialize in Azure Infrastructure migration, Cloud Native application development, and Data & AI services on the Azure platform. Serving clients across Canada and the USA, our mission is to deliver innovative, transformative solutions. Your Role As the Business Operations Manager at Optimus, you will be a pivotal part of the team, ensuring seamless operations and supporting the company’s rapid growth. You will manage essential administrative processes that drive efficiency, enhance customer satisfaction, and improve profitability. Working closely with leadership, you will provide guidance and insights to streamline operations and ensure stakeholder satisfaction. Key Responsibilities Design and architect scalable, reliable, and secure Microsoft Fabric solutions, focusing on data integration, data engineering, and advanced analytics. Lead the end-to-end implementation of Microsoft Fabric, including data pipelines, data governance, and self-service analytics. Collaborate with data engineers, analysts, and business stakeholders to translate business requirements into technical solutions. Develop and enforce best practices for managing and optimizing data storage, transformation, and reporting within the Microsoft Fabric ecosystem. Ensure seamless integration of Microsoft Fabric with existing cloud and on-premises data systems (Azure, SQL Server, Po

Adverteyes is a pioneer in emotion and attention AI. Using the latest computer vision and machine-learning technologies, we measure how people feel while watching video content online. We help brands, publishers, and agencies to move fast and efficiently, to maximize their ROI on ad attentiveness. As a Tech-Ops team member, you will manage projects from setup to delivery, and work with data, internal tools, and cross-functional teams to meet customer needs. This role involves providing input on product development, technical know-how, overseeing operational data, managing media measurement projects, coordinating with third parties like vendors and client, and contributing to the team’s OKRs. This is an excellent opportunity for an ambitious, detail-oriented, and tech-savvy professional eager to grow in the intersection of tech, media measurement, and market research. The role is fully remote. Technical Duties Manage technical workstreams proactively and independently, including custom research projects on Adverteyes and third-party platforms, ensuring timely and accurate delivery. Lead the scoping, processing, analysis, and delivery of complex projects on the Adverteyes platform, with the ability to own the project through the lifecycle, partnering cross-functionally with Product, Engineers, Data Science, and Sales. Work with large datasets in Excel (including macros) to prep deliverables for clients and internal teams, including handling bulk asset downloads, uploads via API

Founding Platform Engineer | AI, Distributed Systems & SaaS AllUnited StatesUnited States - San FranciscoUnited States - New York City23 Oct New York City or San Francisco Bay Area Python | AWS | Distributed Systems | Multi-tenant SaaS Pre-seed AI startup | Founding engineering team Build the platform that makes AI customer conversations accountable Are you a Staff or Principal-level engineer who thrives on building complex systems from the ground up? We're looking for a Founding Platform Engineer to help architect and build the core platform of an early-stage AI startup tackling one of the biggest emerging challenges in enterprise technology: ensuring AI-powered customer interactions are safe, compliant, reliable, and accountable. As the first senior engineer, you'll work directly with the CTO, take ownership of the platform's architecture, and write production code while establishing the engineering foundations for future growth. This is an opportunity to shape both the technology and the engineering culture of a company from its earliest stages. The opportunity Enterprises are deploying AI agents to handle customer conversations across voice, chat, email, and SMS. But as these systems take on increasingly sensitive interactions, businesses need more than capable AI — they need independent oversight, measurable quality and reliable evidence that their AI systems meet the standards required of them. The company is building an AI monitoring and assurance platform that eva

Kearney & Company is seeking a Data Migration SME to join our growing firm! This individual will collaborate with a team focused on developing and executing data cleansing, data analysis, architecture, and data conversion. Responsibilities / duties include but not limited to: Use SQL to assess, reconcile, map and extract, transform, and load (ETL) financial and procurement data including master and transactional datasets from legacy systems to the future state solution Participate in multiple mock data conversions, testing scripts based on business rules, applying crosswalks, completing data conversion templates, and reconciling records. Perform crosswalks and reconciliations of financial data elements between legacy and target systems Perform comprehensive business analysis and process and data modeling using both manual and automated tools for financial and procurement functions. This includes analyzing master data, metadata, transactional data, and interface data. Provide technical guidance in data management, including data architecture, analytics/reporting, quality, cleansing, and conversion from legacy systems to the new solution. Recommend data fixes, promote cleansed data through test cycles, and support the final cutover. Acts independently to uncover and resolve issues associated with the data reconciliations and mapping, data cleansing, conversion testing, and/or data migration. Develops dashboards to enable further data analysis, reconciliations and data-drive

About Greenlight Rent Greenlight Rent, formerly Rhino + Jetty, is making housing more affordable and accessible for millions of renters each year. We're the market-leading rental housing platform building simpler, more accessible ways for people to move into homes — and for property managers to lease with confidence. Our technology removes friction from the move-in process, lowers upfront costs for renters, and helps property managers make faster, more accurate decisions. We support a network of 3 million rental units nationwide and work with 47 of the NMHC Top 100 property owners, including Greystar, Brookfield, Asset Living, UDR, and more. We pioneered security deposit insurance and continue to push the industry forward with a growing suite of products — from deposit management to lease guarantees and loss-of-employment protection. We're growing quickly, tackling real problems at scale, and building technology that's changing how renting works. The role As a Staff Engineer on our data team, you'll be a senior software engineer who builds the systems that produce, move and serve our data, not just the pipelines and queries on top of them. You'll set technical direction for how data flows through Greenlight Rent, from the application services and APIs that generate it to the warehouse, models and tools the business runs on. You'll partner with product, finance and operations to turn rental-housing problems into reliable software and trustworthy data. Our teams are small, abou

Position Summary We are seeking a highly experienced Principal Observability Architect to lead the design, implementation, modernization, and optimization of enterprise-scale observability and analytics platforms. This role will serve as the technical authority for log management, observability engineering, telemetry pipelines, AIOps, security analytics, and data lakehouse architectures leveraging Splunk, Databricks, Cribl, OpenTelemetry, and cloud-native technologies. The ideal candidate possesses deep expertise in traditional observability platforms (Splunk, Dynatrace, AppDynamics, ServiceNow ITOM) and modern data lakehouse architectures utilizing Databricks, Delta Lake, Unity Catalog, and AI/ML-driven analytics. This individual will drive the strategic transformation from legacy SIEM and observability platforms toward scalable, cloud-native observability data lakes. Key Responsibilities Enterprise Architecture & Strategy Define enterprise observability architecture standards, patterns, and roadmaps. Lead observability transformation initiatives involving Splunk modernization and Databricks adoption. Develop reference architectures for telemetry ingestion, storage, analytics, security, and AI-driven operations. Align observability strategies with business, security, compliance, and operational objectives. Create executive-level architecture presentations, business cases, and technology roadmaps. Splunk Platform Leadership Architect large-scale Splunk Enterprise and Splu

Be part of Stefanini! At Stefanini, we are over 30,000 geniuses connected across 41 countries, doing what they are passionate about and co-creating a better future. Surely you don't want to miss out! Why will we choose you? Because the challenges you take on reflect your ambitions! We are looking for a Junior Data Technical Support Analyst to join our team and collaborate in the operation, monitoring, and resolution of incidents related to data platforms, processes, and services. What will your main responsibilities be? Provide technical and functional support for data platforms and processes. Analyze, diagnose, and resolve incidents related to data availability, integrity, and processing. Perform SQL queries to validate information, identify inconsistencies, and collaborate on error analysis. Monitor data loading, updating, and transformation processes. Manage tickets, document incidents, and follow up until resolution. Identify opportunities for improvement and collaborate on the optimization of operational processes. Work closely with Data Engineering, BI, and other technical teams to ensure service continuity. What are we looking for? Advanced students or graduates of Systems Engineering, Computer Science, Data Science, or related fields. Previous experience of 6 months to 1 year in technical support, application support, databases, or related areas (desirable).

Risepoint is an education technology company that provides world-class support and trusted expertise to more than 100 universities and colleges. We primarily work with regional universities, helping them develop and grow their high-ROI, workforce-focused online degree programs in critical areas such as nursing, teaching, business, and public service. Risepoint is dedicated to increasing access to affordable education so that more students, especially working adults, can improve their careers and meet employer and community needs. The Impact You Will Make As a Senior Data Engineer on the Enterprise Data Platform team, you will build and operate the governed data products that power analytics, reporting, and AI/ML for the 100+ universities and colleges Risepoint supports. Your pipelines and dimensional models turn raw operational and CRM data into trusted insight that drives enrollment, retention, and student success. As a technical lead on the team, you will also translate requirements for and coordinate delivery with offshore engineering partners, review their work for quality, and help set the standards that keep our data trustworthy as the platform scales. How You Will Bring Our Mission to Life Working hands-on in Databricks and dbt, you will contribute to design scalable pipelines on a Delta Lakehouse, model data using Kimball dimensional methodology, and operationalize machine learning with MLflow and MLOps practices. You will partner closely with data architects, analyst

We are a healthcare technology company that provides platforms and solutions to improve the management and access of cost-effective pharmacy benefits. Our technology helps enterprise and partnership clients simplify their businesses and helps consumers save on prescriptions. As a leader in SaaS technology for healthcare, we offer innovative solutions with integrated intelligence on a single enterprise platform that connects the pharmacy ecosystem. With our expertise and modern, modular platform, our partners use real-time data to transform their business performance and optimize their innovative models in the marketplace. Position Summary The Senior Data Engineer owns the data platform end to end — designing, building, and maintaining the infrastructure, pipelines, and governed data layers that power analytics and downstream consumers across the organization. This is a hands-on engineering role centered on cloud data platform development, pipeline orchestration, and data modeling at scale. The guiding principle is to build once, consume everywhere — define transformations and metrics a single time, governed and version-controlled in the warehouse, then serve them consistently to every downstream consumer: BI tools, client-facing reporting, and AI systems. The ideal candidate is comfortable building data platforms and systems from scratch, thrive in a platform development and maintenance environment, and brings strong hands-on experience with Snowflake and workflow orchestrati

DATA ANALYST INTERNSHIP WHO WE ARE: Passion for Life is a non-profit organization that operates with the power of dedicated interns like you. We help under-resourced youth transform their passions into rewarding careers. Our mission is to provide forward-thinking career coaching and immersion opportunities driven by the students’ passions and talents in a fun, structured, and high-energy environment. Passion for Life was created to be a high-energy and engaging process that helps students identify their passions and gain clarity on how to utilize their core strengths and talents to select a career. POSITION SUMMARY The Data Analyst Intern plays a critical role in advancing the organization's mission by transforming raw program and operational data into clear, actionable insights. Working collaboratively across program, development, and leadership teams, this position supports data-driven decision-making by designing and maintaining evaluation frameworks, producing compelling reports and dashboards, and ensuring data integrity throughout the organization. The ideal candidate is both analytically rigorous and mission-passionate, with the ability to communicate complex findings to both technical and non-technical audiences. While this is an unpaid internship position, there are many exciting internal and external rewards to consider. What you gain Gain valuable hands on experience in nonprofit educational sector Make a meaningful impact on the lives of underserved communities In

Position Overview This position supports the identification, documentation, and integration of data assets within the Enterprise Data Management (EDM) environment. The Data Engineer II assists with developing and maintaining data pipelines, preparing and validating data for business use, and implementing data management practices using established tools, standards, and procedures. Working under the guidance of senior team members, this position contributes to data migration, data quality, and cloud data platform initiatives while gaining experience with enterprise data engineering practices and technologies. Major Activities (Typical Duties/Responsibilities) Assist in creating and maintaining data models, data mappings, and data relationship diagrams based on established standards. Support the development, implementation, and maintenance of data pipelines and data integration processes. Analyze and validate source data for completeness, accuracy, and relevance, escalating issues as appropriate. Collaborate with business stakeholders and team members to gather, document, and clarify data requirements. Perform routine data quality checks, testing activities, and validation procedures using established methods and tools. Assist with configuring and administering cloud-based data services and environments under direction from senior engineers. Apply data security, governance, and data handling practices in accordance with organizational standards and regulatory requirements. Prep

Remote (Pakistan preferred) · Full-time 🧭 About the role iClosed .io is a SaaS platform for sales and marketing teams, scaling to millions of users. This role sits in our Performance Team and owns the performance and scalability of our Node.js/TypeScript backend services and data layer. We believe the biggest gains come from design, not just tuning: matching each store to its access pattern, moving work off the critical path, and drawing service boundaries that scale cleanly. You'll solve the problem in front of you, then shape the architecture so whole classes of problems never come up. This is a senior individual contributor role with no direct reports, high autonomy and significant technical influence. 🔀 How the work splits You'll own performance across three connected areas, with genuine depth expected in both system design and data-layer internals: Design: how a request flows, what runs synchronously, where state lives, and what happens when a dependency is slow. Diagnosis: reading traces, execution plans and metrics to find the real cause rather than the obvious one. Prevention: instrumentation, review standards and regression gates, so issues are caught long before they reach customers. 🎯 What you'll do Lead the design of high-traffic flows end to end, keeping them fast under load and resilient when dependencies fail. Diagnose latency across the full request path using traces, execution plans and metrics. Match each workload to the right data store, and document the

Be part of Stefanini! At Stefanini, we are more than 30,000 geniuses connected across 41 countries, doing what they are passionate about and co-creating a better future. Surely you don't want to miss out! Why will we choose you? Because the challenges you will take on reflect your ambitions! We are looking for a Data Technical Support Analyst – Trainee who is eager to learn, develop professionally, and take their first steps in the world of technology and data support. What will your main responsibilities be? Provide first-level technical support for incidents and inquiries related to data tools and platforms. Collaborate in the analysis, tracking, and resolution of incidents, escalating those that require specialized assistance. Perform basic checks and monitoring of data processes. Record and document incidents, inquiries, and implemented solutions. Work closely with technical teams to ensure the operational continuity of services. Participate in data maintenance, validation, and quality control tasks. What are we looking for? Students or graduates of Systems, Information Technology, Data Science, or related fields. Basic knowledge of databases and SQL (desirable). Interest in technical support, data analysis, and problem-solving. General knowledge of computer tools and operating systems. Proactivity, learning capacity, service orientation, and good communication skills.

About the role A senior individual contributor owning the data science work end to end: deciding what to measure, getting the data, building the models, defending the conclusions. You work directly with traders, deal economists, finance and treasury, and the founders — no account manager in between. We are hiring for a sector, not for one narrow problem. Assignments come from business stakeholders and they vary; what stays constant is the industry and the independence expected. The team can grow with one or two junior data scientists reporting to you. There is a data engineer and an established data lake, but not every source is organised that way — a meaningful part of the work still starts in raw tables and unprocessed exports. What the work looks like The system we are building exists so that anyone involved in a deal can reconstruct the P&L between any two points of the chain, at any moment, on an agreed and versioned allocation basis. That is where the role sits: P&L, cost and financial transactions. Operational data is an input to margin, not a subject of its own. This is operational deal P&L, reconciled to but not identical with the statutory accounts; the general ledger and month-close stay in the accounting system. Scope P&L reconstruction and margin attribution across the deal lifecycle — netback at entry, provisional P&L, final P&L after final pricing, actual costs, demurrage and claims — with a defensible account of every delta, and the abi

We are Draslovka Draslovka is expanding our Mining Solutions service offering with an industry-breaking SaaS, Machine learning product (AI), and we are looking for passionate professionals who can make this happen. The final product will have a significant impact and will make a mark in the transition to a new energy future for our society. We are a Czech, family-owned international leader in chemical specialties on a mission to unlock the transformation of many critical industries. We have operations in the Czech Republic, United States, South Africa, Australia, New Zealand, and India, and serve customers around the world. About the Role: As a Data Scientist, you will play a pivotal role in advancing our cloud-based system by developing predictive models, and recommendation systems. What will you be doing with us? · Ship high-quality predictive models leveraging industrial data from sensors and IOT devices · Develop and implement ML models to support the application, utilizing cutting-edge algorithms · Collaborate with customers to identify opportunities for data-driven uplift growth and optimization · Write fully testable, high-quality code in Python · Analyze complex datasets to generate insights and identify trends · Maintain ML pipelines (data exploration, sampling, training data generation, feature engineering, model building, and performance evaluation, etc.) What should you know or have? · 2+ years of experience in data science · Expertise in statistical analysis, dat

About Upstart At Upstart , we’re united by a mission that matters: to radically reduce the cost and complexity of borrowing for all Americans. Every day, we bring creativity, experimentation, and advanced AI to reshape access to credit, helping millions move forward financially with clarity and confidence. As the leading AI lending marketplace, we partner with banks and credit unions to expand access to affordable credit through technology that’s both radically intelligent and deeply human. Our platform runs over one million predictions per borrower using more than 3,000 signals, powering smarter, fairer decisions for millions of customers. But the numbers only hint at the impact. Every idea, every voice, and every contribution moves us closer to a world where credit never stands between people and their financial progress. We’re proudly digital-first, giving most Upstart ers the flexibility to do their best work from wherever they thrive, alongside teammates across 80+ cities in the US and Canada. Digital-first doesn’t mean distant. We’re intentional about in-person connection through team onsites, planning sessions, and moments that spark creativity and trust. And whether you choose to work primarily from home or collaborate in-person from one of our offices in Columbus, Austin, the Bay Area, or New York City, you’ll have the support to work in the way that works best for you. If you’re energized by tackling meaningful problems, excited to innovate with purpose, and motivat

About Concept Plus Concept Plus is a mission-focused technology solutions provider that transforms IT concepts into impactful solutions for federal agencies. Headquartered in Fairfax, VA, we bring the agility, responsiveness, and customer intimacy of a small business combined with the quality and infrastructure of a larger firm. Recognized as an award-winning Oracle partner, we have delivered innovative solutions across Defense, Intelligence, Civilian, Health IT, and Tribal sectors. Our highly certified experts build systems that drive efficiency, accelerate modernization, and ensure mission outcomes with certainty. We offer competitive pay, comprehensive health, dental, and vision insurance, paid life insurance, paid time off, 11 paid holidays, performance bonuses, tuition reimbursement, unlimited training, and the opportunity to thrive in a collaborative, flexible, and innovative environment. For more information, visit . About the role Concept Plus is seeking a Data Scientist/Oracle Integration Engineer to provide overall technical leadership and direction for all aspects of a client management capability. What you'll do Serve as the technical lead for enterprise data integration efforts, emphasizing engineering excellence over analytical or data science tasks. Design, develop, and maintain reliable ETL/ELT pipelines and data exchange processes across complex enterprise systems. Build and optimize SQL-based data workflows, with strong emphasis on relational databases (Orac