Remote Data Engineering & Analytics Jobs

Join phData , a remote-first data and AI consultancy company with employees across the United States, Latin America, and India. We partner with industry leaders, including Snowflake, AWS, Anthropic, Glean, and dbt, to solve the complex data and AI challenges that slow large enterprises. We're growing fast, and we give our people real ownership over their work. We hire top performers and trust them to deliver results. Why phData ? Snowflake Implementation Partner of the Year — 7 consecutive years, and 2026 Snowflake AI Partner of the Year AWS Premier Tier Services Partner — the highest tier of recognition in the AWS Partner Network 2025 Fivetran Partner of the Year (4th consecutive year) 2025 dbt Labs Partner of the Year (3x winner) with Visionary partner status 2026 KNIME Customer Excellence Partner of the Year Preferred Partner in the Anthropic Claude Partner Network #1 Partner in Snowflake Advanced Certifications 600+ Expert Cloud Certifications (Sigma, AWS, Azure, Dataiku, and more) Recognized as an award-winning workplace in the US, India and LATAM This is a highly client-facing role. You will operate as a hybrid Engagement Lead + delivery leader for data and AI programs, accountable for both execution and client outcomes. You will be the “one hand to shake”, orchestrating multi-geo phData teams and partners; and ensuring technical delivery translates into measurable business impact. Core Responsibilities Lead, and be accountable for the success of complex data and AI pro

Senior Data Engineer II, AI Native About Life360 Life360 ’s mission is to keep people close to the ones they love. Our category-leading mobile app, Tile tracking devices, and Pet GPS empower members to protect the people, pets, and things they care about most with a range of services, including location sharing, safe driver reports, and crash detection with emergency dispatch. Life360 serves approximately 97.8 million monthly active users (MAU), as of March 31, 2026, across more than 180 countries. Life360 delivers peace of mind and enhances everyday family life with seamless coordination for all the moments that matter, big and small. By continuing to innovate and deliver for our customers, we have become a household name and the must-have mobile-based membership for families (and those friends who are basically family). Life360 has more than 500 (and growing!) remote-first employees. For more information, please visit . Life360 is a Remote First company, which means a remote work environment will be the primary experience for all employees. All positions, unless otherwise specified, can be performed remotely (within the US and Canada) regardless of any specified location above. We are AI Native We are building an AI native company where AI is an integral part of how we build and operate. AI tool usage during interviews varies by role. You may be asked to demonstrate proficiency with AI tools, discuss how you leverage AI, or complete interview exercises without AI assistance

WHO WE ARE Zeta Global (NYSE: ZETA) is the AI-Powered Marketing Cloud that leverages advanced artificial intelligence (AI) and trillions of consumer signals to make it easier for marketers to acquire, grow, and retain customers more efficiently. Through the Zeta Marketing Platform (ZMP), our vision is to make sophisticated marketing simple by unifying identity, intelligence, and omnichannel activation into a single platform – powered by one of the industry’s largest proprietary databases and AI. Our enterprise customers across multiple verticals are empowered to personalize experiences with consumers at an individual level across every channel, delivering better results for marketing programs. Zeta was founded in 2007 by David A. Steinberg and John Sculley and is headquartered in New York City with offices around the world. To learn more, go to . ROLE OVERVIEW Zeta Global is seeking a Lead Data Engineer to build and scale healthcare-focused applications and data systems that power audience intelligence, activation, measurement, and reporting across both HCP and DTC workflows. This is a hands-on technical leadership role operating at the intersection of distributed systems, data engineering, and healthcare domain constraints. You will design and deliver systems that integrate identity, audience data, and campaign performance while meeting strict requirements for privacy, compliance, and reliability. The ideal candidate brings strong system design depth, experience building dat

Role Overview Act as the hands-on AI technical leader for FPT's consulting practice. You design AI strategies, architect end-to-end solutions, and lead client workshops translating business needs into scalable AI systems for regulated industries. This is a producing role: you draw the architecture, write the playbook, and run the workshop yourself. You will work closely with leadership, other CoE Directors, and FPT's offshore AI engineering teams. If you want to step out of a large firm's hierarchy, build something from scratch, and accelerate your path to Practice Lead or MD Responsibilities 1. AI Practice & Solution Architecture (40%) Lead AI strategy, architecture, and solution design across GenAI, ML, data platforms, and MLOps/AIOps Build reusable consulting IP: AI readiness frameworks, reference architectures, operating model designs, and proposal templates Produce key technical artefacts yourself with architecture blueprints, data pipeline designs, solution specs not just review or delegate Write PRDs for FPT's FleziPT AI platform based on real client demand; review offshore engineering outputs Design and deliver an AI skills curriculum to upskill FPT's Solution Architects and Business Analysts (AI strategy framing, use-case economics, data readiness, Agentic AI, Digital Workers) 2. Client Engagement & Pre-sales (35%) Run AI workshops directly with CTOs, CDOs, Enterprise Architects, and data/ML engineering leads Lead end-to-end proposal development and solutioni

Who we are Ranked in 2024 by the Financial Times, Moniepoint is Africa’s fastest-growing fintech, trusted by over 10 million business and individual accounts, processing billions of Naira in transactions monthly. Our mission is to enable financial happiness for every African, everywhere. About this role: We're looking for a Data Scientist to sit at the heart of how we fight fraud — building the models, experiments, and detection systems that protect millions of customers and merchants across our platform. This is a high-impact role at the intersection of machine learning, product, and engineering, where your work will directly shape how Moniepoint detects and responds to emerging fraud threats. You are a data-driven, intellectually curious Data Scientist who is energized by hard problems in fraud and financial crime. You'll prototype and ship ML models, design experiments, and uncover new fraud signals across our ecosystem — partnering closely with engineers, product managers, and analysts to turn your work into production-grade systems. Responsibilities: Prototype, evaluate, and help produce machine learning models for fraud detection; own their ongoing monitoring and retraining cycles. Design and run experiments to measure the impact of fraud interventions, balancing customer experience against loss reduction. Size fraud typologies across our product lines to inform prioritization and investment decisions. Build and maintain anomaly detection systems to surface novel fraud

About INflow Federal - founded in 2013, INflow Federal is a mission-driven small business delivering cutting-edge solutions to the Department of War (DoW) and Joint Force operations across 20+ states. Our strength comes from our people - especially the Veterans who make up over 50% of our workforce. Through our Veteran Outreach Program and employee-first culture, we invest deeply in professional growth, well-being, and innovation. Known for our agility, transparency, and integrity, INflow combines real-world experience with emerging technologies like AI/ML to help our customers lead in a rapidly evolving defense landscape. We empower both our employees and mission partners to stay ahead - driving smarter, faster, and more secure outcomes. Job Overview: INflow Federal is seeking a Data Engineer to design, develop, and maintain secure data pipelines, transformations, and analytics infrastructure supporting enterprise systems within a Department of Defense (DoD) modernization initiative. The Data Engineer will ensure accurate, reliable, and performant data flow across applications, integrating structured and unstructured data from multiple mission sources into cloud-based storage and analytics environments. This position plays a critical role in enabling interoperability, analytics, and automation across AWS GovCloud IL2–IL5 environments through the use of scalable data engineering practices and secure DevSecOps integration. This is a fully remote position. Here, your work is mo

About the Opportunity We are looking for a Staff Software Engineer to join our Data and Partner Platform team (DAP) and help shape the future of energy technology. In this role, you will operate at the intersection of deep technical craft and broad organizational impact - driving architectural decisions, mentoring engineers, and building systems that are reliable, scalable, and grounded in the realities of the energy industry. You will be a key technical voice across engineering and a trusted partner to product, operations, and business teams alike. The Data and Partner Platform team manages partner integrations, data translation, and our Snowflake account. We work closely with most teams across the organization and drive critical platform engineering that runs core business functionality. The team is driven, diverse, and wildly talented. We are driving foundational improvements that improve our agility and speed while maintaining legacy systems. Main Responsibilities Technical leadership and vision Champion long-term excellence by envisioning ideal approaches to complex processes and translating the vision into well-scoped, measurable initiatives that can be prioritized alongside business goals. Coordinate across engineering teams to align on technical direction, standards, and best practices. Develop deep domain expertise in utility programs, demand responses, DER lifecycles, wholesale energy markets, and the regulatory realities that shape them, so every technical decision

WebMD and its affiliates is an Equal Opportunity/Affirmative Action employer and does not discriminate on the basis of race, ancestry, color, religion, sex, gender, age, marital status, sexual orientation, gender identity, national origin, medical condition, disability, veterans status, or any other basis protected by law. Build streaming and storage systems at PulsePoint PulsePoint processes billions of events daily through Kafka, Hadoop HDFS and Ceph. Our Data Platform team maintains these systems across hybrid infrastructure: bare-metal on-prem, cloud, and the integration between them. You own the lifecycle from architecture through deployment to capacity planning and incident response. What you'll work on Kafka architecture, topic design, governance, partition strategy, throughput and latency optimization. Ceph operations, pool design, placement optimization, capacity planning. Operational automation, reduce manual work, faster incident response, preventive systems. SQL Server backup and recovery pipelines, basic cluster support. Data team tooling with self-service capabilities and observability. Technology Apache Kafka for messaging layer Hadoop and Ceph as distributed storage layer SQL Server backup and recovery Terraform, Ansible, Puppet, ArgoCD for operational automation Prometheus, Grafana, Icinga and PagerDuty as observability layer Bare-metal servers and hybrid cloud/on-prem infrastructure What matters: understand distributed systems, failure recovery, and operatio

About AlphaSense : AlphaSense is the AI platform redefining market intelligence and workflow orchestration, trusted by thousands of leading organizations to drive faster, more confident decisions in business and finance. The platform combines domain-specific AI with a vast content universe of over 500 million premium business documents — including equity research, earnings calls, expert interviews, filings, news, and internal proprietary content. Purpose-built for speed, accuracy, and enterprise-grade security, AlphaSense helps teams extract critical insights, uncover market-moving trends, and automate complex workflows with high-quality outputs. With AI solutions like Generative Search, Generative Grid, and Deep Research, AlphaSense delivers the clarity and depth professionals need to navigate complexity and obtain accurate, real-time information quickly. For more information, visit . Come join us. About the Role: AlphaSense runs a large-scale, Kubernetes-native platform built on a modern microservices architecture, serving the majority of the Fortune 500. We are moving it to a cell-based architecture, where each cell is an independent deployment of the platform. The hardest part is data. Our platform relies on a broad ecosystem of data platforms and storage systems, including Vespa, MongoDB, ClickHouse, Redis, ScyllaDB, PostgreSQL, Temporal, and Kafka, to name a few. This role is focused on the Data Platform: the capabilities that let engineering teams build, run, and scale

SMARTSOURCING USA is actively pooling Electrical Estimators based in the Philippines with at least 2–3 years of hands-on experience estimating U.S. construction projects . Estimated placement timeline: 2–3 months. This is our current best estimate and may change based on client demand, project requirements, and candidate fit. Joining the pool does not guarantee placement or a specific start date. Qualifications: At least 2 years of electrical estimating experience supporting U.S. data center construction projects. Ability to interpret U.S. electrical plans, specifications, schedules, and construction documents. Must be well versed in CSI MasterFormat Division 26 — Electrical, including scope, specifications, and estimating requirements, with a strong understanding of U.S. electrical terminology, installation practices, and applicable National Electrical Code (NEC) requirements. Proficiency in estimating or takeoff software such as PlanSwift, or Bluebeam Revu. Strong Microsoft Excel skills and attention to detail. Ability to manage multiple estimates and meet deadlines. Excellent English communication skills, both written and verbal. Availability to work during or overlap with the assigned U.S. client’s business hours. Reliable internet connection and a suitable remote workspace Key Responsibilities: Review electrical drawings, specifications, addenda, and bid documents to identify project scope. Prepare detailed takeoffs for lighting, devices, wiring, conduits, panels, switch

Mosaic is a leading North American Integrated Marketing Agency, specialized in connecting with consumers through Experiential Marketing, B2B, Sales & Merchandising, and Shopper Marketing. At Mosaic, we are never satisfied with the status quo and are in constant search for new ideas and new ways to help our clients build their brands amidst the evolving dynamics of empowered consumers and leveraging new technologies. The Client Data Analyst II (analyst) position is responsible for partnering with our clients and teams to drive their initiatives with strategy, analytics and actionable insights, optimizing program measurement to drive field team success, and constantly engaging with the team to better understand where they can have the greatest impact. The analyst will leverage business and market relevant information to make data-driven decisions that allow Mosaic to achieve its sales and marketing objectives and quickly adapt tactics. The analyst will play a key role in evolving, leading, and growing the data-driven discipline within the program they support. The Incumbent(s) in this position should exhibit the following values: People Minded – Must show dignity and respect to all people Integrity – Must exemplify the highest degree of ethical behavior Results Oriented – Must show passion, pride and commitment to succeed Trust – Must be honest, sincere and confident Teamwork – Must build trusting relationships Innovation – Must progress through a combination of creativity,

🚀 Join Our Remote Data Products & Machine Learning Startup! 🚀 At Muttdata, we build innovative Data Products and Machine Learning solutions that help companies solve complex business challenges. As a fast-growing, remote-first startup, we're passionate about technology, collaboration, and continuous learning. This opportunity is with a leading multinational beverage company based in Mexico City. We are looking for an Data Engineer Engineer to join our team and work on high-impact projects for a major multinational beverage company based in Mexico 🐶🚀. 🚀 What We Do Leveraging our expertise, we build modern Machine Learning systems for demand planning and budget forecasting. Developing scalable data infrastructures, we enhance high-level decision-making, tailored to each client. Offering comprehensive Data Engineering and custom AI solutions, we optimize cloud-based systems. Using Generative AI, we help e-commerce platforms and retailers create higher-quality ads, faster. Building deep learning models, we enhance visual recognition and automation for various industries, improving product categorization, quality control, and information retrieval. Developing recommendation models, we personalize user experiences in e-commerce, streaming, and digital platforms, driving engagement and conversions. 🌟 Our Partnerships Amazon Web Services Astronomer Databricks 🌟 Our Values 📊 We are Data Nerds 🤗 We are Open Team Players 🚀 We Take Ownership 🌟 We Have a Positive Mindset 🔍

Job Description Summary: Collects, manages, analyzes, and reports on cancer/tumor incidence data. Job Description: Identifies and analyzes the history, diagnosis, treatment, disease status and survival data of cancer patients treated in the organization. Prepares statistical reports on mortality rates, treatment effects, incidence rates of various diagnostic categories and demographic variables. Prepares documentation, abstracts medical records and develops criteria for patient care evaluation, collecting data for protocol studies, and conducting audits for committees and conferences. Assist departments in quality audits and reporting as needed. Complies with all reporting requests and requirements, including requests by the NCDB, quarterly reports to the State Cancer Registry and the annual ACoS report. Serves as a resource to others regarding department policies, procedures and services. Compensation Information: $27.70 - $48.48 The hourly pay range shown represents the base pay range for this position. Individual pay is determined based on factors such as experience, qualifications, skills, and market considerations. In addition to base pay, eligible team members may earn additional compensation through shift, weekend, holiday, on-call, and other applicable differentials. We are proud to offer a competitive total rewards package designed to recognize our caregivers and support them in delivering exceptional care to the communities we serve. Scheduled Weekly Hours: 0 Job Ex

Description We're seeking an exceptional, hands-on Data Scientist with deep expertise in data science, MLOps, and building GenAI solutions to join our Enterprise Data & Data Science team. In this role, you'll identify, evaluate, and develop solutions at the intersection of data science, generative AI, and enterprise data strategy—including GenAI evaluation frameworks and semantic data layers. You'll also serve as a community champion, driving the adoption of best practices across a large, collaborative data science organization. Responsibilities : Design, build, and evaluate generative AI solutions and agentic systems Develop and maintain data semantic layers and knowledge graphs for enterprise-scale data accessibility Build evaluation frameworks and tools to assess GenAI systems' performance, reliability, and safety Collaborate with other data scientists, machine learning engineers, data engineers, and business partners Champion best practices and tooling across a broad data science community Lead cross-functional working groups and contribute to innovation in AI/ML methods Communicate complex technical findings clearly to non-technical stakeholders Serve as a technical consultant on complex, high-impact projects Please note this is an individual contributor role Qualifications Broad knowledge of predictive analytic techniques and statistical diagnostics of models. Advanced knowledge of predictive toolset; reflects as expert resource for tool deve

We are seeking experienced Data Scientists to join our team and drive impact across various product areas. As a Data Scientist, you will collaborate with cross-functional partners to identify and solve complex problems using data and analysis. Your role will involve shaping product development, quantifying new opportunities, and ensuring products bring value to users and the company. You will guide teams using data-driven insights, develop hypotheses, and employ rigorous analytical approaches to test them. You will tell data-driven stories, present clear insights, and build credibility with stakeholders. By joining our team, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.ResponsibilitiesWork with complex data sets to solve challenging problems using analytical and statistical approaches* Apply technical expertise in quantitative analysis, experimentation, and data mining to develop product strategies* Identify and measure success through goal setting, forecasting, and monitoring key metrics* Partner with cross-functional teams to inform and execute product strategy and investment decisions* Build long-term vision and strategy for programs and products* Collaborate with executives to define and develop data platforms and instrumentation* Effectively communicate insights and recommendations to stakeholders* Define success metrics, forecast changes, and set team goals* Support developing roadmap

At H1 , we believe access to the best healthcare information is a basic human right. Our mission is to provide a platform that can optimally inform every doctor interaction globally. This promotes health equity and builds needed trust in healthcare systems. To accomplish this our teams harness the power of data and AI-technology to unlock groundbreaking medical insights and convert those insights into action that result in optimal patient outcomes and accelerates an equitable and inclusive drug development lifecycle. Visit  h1.co  to learn more about us.   The Data & Research team is responsible for the end-to-end lifecycle of H1's data — from source acquisition and onboarding through normalization, entity resolution, and product delivery. Working closely with Engineering, Product, and client-facing teams, this group ensures that every data source H1 adds is evaluated rigorously, integrated accurately, and delivered in a way that creates real value for the healthcare and life sciences organizations that rely on our platform.   WHAT YOU'LL DO AT H1 As a Principal Analyst, Data Integration, you will own the end-to-end process of evaluating, scoping, and onboarding new data sources into H1's platform. This is a senior IC role at the intersection of data, engineering, and product — the connective tissue between raw data acquisition and what ultimately ships to clients. You will work across Data & Research, Engineering, and Product to define what a new source is

Overview DecisionPoint seeks a Senior Database Administrator (DBA) to support secure, high-performance database operations within a large-scale federal and DoD-aligned mission environment. This role is responsible for enterprise database installation, patching, performance tuning, indexing design, high availability (HA) configurations, clustering, backup and recovery operations, and RMF control support across AU, AC, and SC control families. The Senior DBA ensures the security, integrity, and reliability of mission-critical data systems while working closely with application development, cybersecurity, and infrastructure teams to support IL5-compliant environments. This position is fully remote. Duties & Responsibilities The Senior Database Administrator (DBA) will: Install, configure, and maintain enterprise database platforms across multiple environments. Perform database patching, upgrades, schema updates, and configuration changes. Design and optimize indexing strategies, query plans, and database structures to improve performance. Implement and maintain High Availability (HA), clustering, replication, and failover capabilities. Conduct performance tuning, diagnose bottlenecks, and resolve complex database issues. Manage backup and recovery operations, ensuring data integrity and minimal downtime. Support RMF security control families (AU, AC, SC) through logging, auditing, encryption, and access control configuration. Apply STIGs, security patches, and DoD cybersecur

Overview DecisionPoint seeks a Database Administrator (Oracle) to support daily database operations, maintenance, tuning, and security within a large federal and DoD-aligned mission environment. This role ensures reliable performance of Oracle database systems across development, test, staging, and production environments while maintaining security, availability, and compliance with DoD requirements. The Oracle DBA is responsible for monitoring, backup execution, schema updates, indexing optimization, and troubleshooting operational issues that impact mission-critical applications and data flows. This position is fully remote. Duties & Responsibilities The Oracle Database Administrator will: Perform daily Oracle database administration, monitoring, maintenance, and health checks. Develop and manage maintenance plans, job schedules, and database housekeeping routines. Execute and validate backups, restores, and recovery procedures to ensure data integrity. Apply patching, version updates, and configuration changes across environments. Support schema updates, index optimization, table maintenance, and data structure enhancements. Troubleshoot performance issues, query bottlenecks, and system errors across dev/test/prod environments. Maintain auditing, logging, encryption, and access controls in accordance with DoD cybersecurity requirements. Document database configurations, operational processes, and environment baselines. Collaborate with development teams to validate sto

At Imagemaker, we are looking for Data Scientists to use data to drive decisions, build intelligent systems, and generate high-impact insights. You will work at the intersection of analytics, engineering, and business to shape product strategy (through experimentation) and develop machine learning models that optimize operations at scale, enabling business units to operate faster and deliver better customer experiences. Key Responsibilities: - Promote data democratization and responsible use in Data and Experimentation initiatives. - Success Indicators: Experiments, models, and assets adhere to best practices; dashboard creation and basic analytics are completely delegated to non-data-specialized roles. - Generate data-driven insights to influence strategic, operational, and product decisions. - Success Indicators: Adopted insights that generate measurable improvements aligned with business priorities. - Build analytical and predictive models using curated and governed datasets. - Success Indicators: Accurate, maintainable solutions integrated into decision-making processes. - Translate business questions into analytical or Machine Learning problems. - Success Indicators: Co-developed data products adopted by teams that solve high-priority problems. - Define and evolve business and product metrics. - Success Indicators: Application of robust metric frameworks.

Overview DecisionPoint seeks a Data Analyst (Analytics) to transform enterprise operational, monitoring, and performance data into actionable insights within a large federal and DoD-aligned IT mission environment. This role produces executive-level visualizations, summaries, analytical narratives, heatmaps, and trend analyses that enable informed decision making across leadership, engineering teams, and mission stakeholders. The Data Scientist (Analytics) develops robust analytical models, evaluates service performance, identifies operational trends, and produces clear, consumable reporting that enhances situational awareness across the enterprise. This position is fully remote. Duties & Responsibilities The Data Analyst (Analytics) will: Transform monitoring, KPI, and operational data into visually rich dashboards, heatmaps, and executive summaries. Conduct trend analyses, anomaly detection, forecasting, and performance measurement across IT operations. Produce narrative insights that contextualize data findings for leadership decision support. Build standardized reporting artifacts for monthly, quarterly, and ad-hoc leadership deliverables. Integrate data from multiple systems including monitoring tools, ticketing systems, incident logs, and operational platforms. Ensure analytical outputs are accurate, repeatable, and aligned with federal reporting expectations. Develop templates and reusable visualization patterns for recurring reports. Collaborate with engineering, s

Overview DecisionPoint seeks an API / Data Architect to lead enterprise-wide API integration architecture, microservices design, data contract development, and secure interoperability supporting a large federal and DoD-aligned mission environment. This senior role defines the architectural blueprint for APIs, establishes integration patterns, and ensures compliance with REST, GraphQL, Zero Trust, and DoD cybersecurity requirements. The API / Data Architect provides technical leadership on data models, microservices boundaries, secure access patterns, event-driven integrations, and system interface governance. This position coordinates closely with developers, product teams, cybersecurity personnel, cloud engineers, and mission stakeholders to ensure secure, scalable, and maintainable API ecosystems. This position is fully remote. Duties & Responsibilities The API / Data Architect will: Design enterprise API architecture including service boundaries, integration patterns, and interoperability standards. Define RESTful and GraphQL API schemas, data contracts, and payload structures. Establish microservices boundaries, domain models, and service decomposition strategies. Ensure API and data architecture aligns with DoD Zero Trust policies, identity requirements, and data protection rules. Develop and enforce API governance, naming conventions, versioning strategies, and lifecycle standards. Create interface architecture diagrams, data flow maps, and system integration docume

Company overview: Blue Orange Digital is a boutique data & AI consultancy that delivers enterprise-grade results. We design and build modern data platforms, analytics, and ML/AI Agent solutions for mid‑market and enterprise clients across Private Equity, Financial Services, Healthcare, and Retail. Our teams work with technologies like Databricks, Snowflake, dbt, and the broader Microsoft ecosystem to turn messy, real-world data into trustworthy, actionable insight. We’re a builder‑led, client‑first culture that prizes ownership, clear communication, and shipping high‑impact work. Note: Please submit your resume in English, as all application materials must be in English for review and consideration. Position Overview We're seeking a Senior Data Engineer to join a staff-augmentation team supporting a fast-moving SaaS data platform working through a significant post-acquisition data backlog. You'll combine strong technical expertise with ownership and sound engineering judgment — designing and building scalable, reliable pipelines on a modern Snowflake/dbt/Airflow stack while understanding the broader business objectives behind them. This is a high-visibility seat: you'll be evaluated directly against incumbent contractor performance in your first 60 days, with strong, self-directed delivery translating into a long-term dedicated placement. Responsibilities Own complex technical projects end-to-end with minimal direction, from design through production Design, build, and ma

Company overview: Blue Orange Digital is a data engineering and AI consultancy that builds production-grade data platforms, ML systems, and analytics solutions for companies that take their data seriously. We are not a staff augmentation shop or a slide-deck consultancy. We are builders. Our teams embed directly into client engineering organizations, shipping code alongside their engineers to accelerate delivery and build lasting capability. Our clients include Fortune 500 enterprises and high-growth startups across industries. We partner with Databricks, Snowflake, AWS, GCP, and Azure to deliver battle-tested solutions that drive measurable ROI. About the Role We are hiring the person who owns Databricks at Blue Orange Digital . Not a portion of it. All of it. This role sits at the intersection of three things most companies split across three people. You architect the solution in the room with the prospect, you lead the build on the accounts that matter most, and you own the relationship with Databricks itself. That combination is deliberate. Clients buy from the architect who will actually be on their engagement, and Databricks field teams co-sell with partners whose technical leads they trust. One person carrying all three closes the gap between what we promise in the sales cycle and what we ship in production. Day to day, you sit in discovery calls and technical deep-dives translating messy business problems into Lakehouse architectures that hold up under scrutiny. You w

Why AIS? When you join AIS, you’re joining a mission-driven team that’s passionate about making a difference. You’ll work on projects that matter, alongside industry-leading experts, in an environment that fosters innovation, driving client success, and empowering our team to make a lasting impact. As an employee-owned company, we value collaboration, inclusivity, continuous growth, and shared success. Employee Ownership : Your contributions directly impact the company’s success, and you share in its achievements. Continuous Learning : Access to resources, training, and mentorship to support your professional growth. Inclusive Culture : A workplace where diversity is celebrated, and everyone’s voice is valued. Mission-Driven Work : Engage in projects that make a meaningful difference for our clients and communities. What are we looking for? At AIS, we're looking for more than just skills - we're looking for driven individuals who are passionate about making a difference, eager to grow, and aligned with our core principles. What you will be doing? This position is contingent upon contract award. We are currently pursuing a proposal and are seeking qualified candidates to include in our submission and identify candidates for future hiring needs on the program once awarded. At AIS, we are dedicated to providing our employees with diverse opportunities to grow their careers while supporting a variety of impactful projects. For this position, we are seeking a talented individual t