Remote Data Engineering & Analytics Jobs

Join the People Helping People Velera is the nation’s premier payments credit union service organization (CUSO) and an integrated fintech solutions provider. The company serves more than 4,000 financial institutions throughout North America, operating with velocity to help our clients keep pace with the rapid momentum of change and fuel growth in the new era of financial services. Our purpose: We accelerate partners’ success through innovative financial technology solutions and inspired service. The Opportunity The Senior Data Engineer is responsible for architecting, designing, developing, and optimizing enterprise-scale data platforms, analytical data models, and data integration solutions. Design and build data structures, schemas, and pipelines from the ground up rather than solely maintaining existing assets. Provide technical leadership across SQL engineering, ETL/ELT development, cloud platforms, API integrations, data modeling, performance optimization, and enterprise data governance. Day in the Life Design, develop, deploy, and optimize enterprise-scale data solutions supporting analytics, reporting, business intelligence, and operational workloads. Architect and build scalable data structures, schemas, dimensional models, and enterprise data pipelines from the ground up. Design, develop, optimize, and support ETL/ELT frameworks and automated data integration processes. Develop and maintain API integrations and automated data-ingestion frameworks supporting multiple

About the Role Build the data foundation for pricing in an early-stage internet marketplace. You will turn noisy sold-listing data into reliable comparable items and price estimates, helping users and investors understand both the value and confidence of each estimate. What You'll Do Build and own scheduled ingestion pipelines for sold-listing data from multiple marketplaces and external sources. Design entity resolution systems that match inconsistent listing text and images to canonical items. Develop valuation logic that weights comparable listings by recency, condition, and quantity. Create production monitoring to detect data drift, fraud, stale comparisons, and integrity issues. Partner with computer vision teammates to define how items are matched across sources with varying detail. Make build-versus-buy decisions about data sources, licensing, and third-party pricing feeds. What We're Looking For At least 5 years of data engineering experience, including ownership of large-scale production ETL and data pipelines. Strong SQL skills and experience with a modern data stack such as dbt, Airflow or Dagster, and Spark or similar tools. Experience working with noisy or adversarial data in marketplaces, pricing, fraud, or a related domain. Experience with statistical estimation or pricing models, including regression-based comparable sales logic. Experience building entity resolution or record-matching systems at scale, plus production data quality monitoring. Ability to make

Who we are: As a global leader in digital infrastructure, QTS designs, builds and operates advanced data centers that support strategic AI, cloud and digital transformation initiatives. We are driven by a mission to connect the world for good and our people make it possible. Every single day, the creativity, dedication and genuine care for our communities are what push us forward and make this a truly special place to be. Who we are: It's pretty exciting to find yourself standing in a pivotal moment in time. It’s even more exciting to be out front leading it. At QTS, our world-class data centers are supporting our customers’ most strategic growth initiatives, positioning us at the forefront of today’s dynamic digital transformation. As AI and cloud drive the demand for increased speed, capacity and capability, QTS has emerged as the global digital infrastructure leader, committed to connecting the world for good. Driven by purpose and fueled by a spirit of innovation, QTS designs, builds and operates some of the world’s most advanced, forward-thinking data centers. QTS is a portfolio company of Blackstone. QTS is Powered by People. People who play a vital role in our company’s culture, innovation and growth. People who are committed to contributing to the communities where we operate and work. People who are knowledgeable, resourceful and mission driven. Together, we do great things. Who You Are & the Impact You Will Have: The Senior Development Project Manager (Data Cent

Milestone Technologies is looking for a Senior Security Data Analyst to support data-driven decision-making on the team. The successful candidate must have experience in data analysis, the ability to think analytically, and the skills to optimize our delivery process. The data analyst must be proactive, results-driven, and detail-oriented; the candidate must thrive in a team environment and be able to work independently. Service Scope: i. Establish and monitor the department’s primary data repositories, ensuring datasets remain authoritative, accurate, and structured for long-term usability. ii. Proactively audit complex security datasets to identify, investigate, and correct data inconsistencies, gaps, or logic errors across core tracking systems. iii. Design and execute structured data normalization workflows, blending disparate data streams from various enterprise tools (e.g., Asana, AODocs, ServiceNow, internal sheets) into a unified architecture. iv. Document strict data lineage, tagging standards, and processing rules to provide complete audit traceability and compliance validation for all reported metrics. v. Design, build, and optimize enterprise-level security dashboards and performance tracking views using data visualization tools (e.g., Tableau, Looker Studio). vi. Synthesize complex data trends, operational velocities, and technical metrics into concise, databacked summaries and presentation-ready content for senior executive leadership. vii. Compile, validate, an

Overview Thank you for considering IT Concepts dba Kentro , where innovation drives opportunity and collaboration leads to success. Our dynamic community of experts is fully committed to advancing our customers' missions, fostering professional growth, and making a positive impact on our communities. By joining our supportive community, you will find that Kentro is dedicated to your personal and professional development. Together, we can drive meaningful change, spark innovation, and achieve extraordinary milestones. Kentro is hiring for a SAM Data Team Lead to support the VA ESOM contract . We are looking for a skilled and analytically driven SAM Remediation Data Team Lead to support the Department of Veterans Affairs’ enterprise-wide Software Asset Management (SAM) Remediation on ServiceNow. This role sits at the intersection of data engineering and software asset intelligence, responsible for leading the data team, designing, building, and maintaining the analytics infrastructure that enables data-driven decision-making across the SAM program. The ideal candidate combines deep ServiceNow Platform Analytics expertise and management experience with strong data modeling skills and a passion for translating complex data into actionable compliance and optimization insights. This is a critical role in advancing the VA’s SAM maturity and ensuring stakeholders have the intelligence they need to manage software assets effectively at enterprise scale. Location: Remote - This positio

We are looking for an experienced Senior SAP Datasphere Developer / Solution Architect to design, develop, and implement scalable data architecture and analytical solutions within a complex SAP environment. The role focuses on SAP Datasphere architecture, advanced data modeling, semantic layer development, and data integration to support enterprise analytics, reporting, and business planning requirements. Working closely with business stakeholders, data engineers, and SAP technical teams, the architect ensures efficient data management, reliable integration, and alignment with enterprise architecture standards and business objectives. Key Responsibilities Design and implement end-to-end SAP Datasphere architecture, ensuring scalability, performance, and alignment with enterprise data strategies. Develop and maintain advanced data models, analytical datasets, and semantic layers within SAP Datasphere. Lead solution design and technical implementation of SAP Datasphere capabilities, including data integration, transformation, and virtualization. Design and optimize data flows, views, analytical models, and data pipelines across SAP and non-SAP environments. Establish data modeling standards, governance principles, and best practices to ensure consistency and reusability. Integrate SAP Datasphere with SAP S/4HANA, SAP BW/4HANA, SAP Analytics Cloud (SAC), and other enterprise data platforms. Provide technical leadership, architectural guidance, and design reviews for development

Automation & Data Analytics Specialist (Moving & Storage) Full-time | Remote | Hiring through Hyre for a U.S. moving and storage company About the Client Our client is a multi-location moving and storage company with operations in Bakersfield, Phoenix, and Santa Rosa. They handle local and interstate moves and run on daily data: sales performance, driver incentives, customer quality, safety, and payroll. About the Role The client relies on advanced data analytics and reporting systems to drive operational performance across all departments. You will implement and refine their existing Driver Scorecard dashboard, then build similar dashboards for every department, automating them for daily execution with clear SOPs for ongoing management. Design scalable department scorecards, eventually phasing out spreadsheets in favor of a dedicated reporting platform. This role also prepares the incentive and bonus data that feeds payroll, so accuracy is non-negotiable. What You'll Do Automation and Process Improvement Automate recurring manual work: pay period setup, multi-system data pulls, incentive calculations, and previous-day job feeds Build live executive dashboards so managers can self-serve instead of waiting on reports Include validation checks, a documented SOP, and a manual fallback with every automation Support fleet data in Samsara and Motive, including preventive maintenance schedules, as needed Build Department Scorecard Systems Design and implement scalable depart

About GiveDirectly What if the most effective way to fight poverty was also the simplest: give people money and trust them to decide what they need? Since 2011, GiveDirectly has proven that idea at scale. We’ve delivered more than $1B in cash directly to 2+ million people living in poverty and crisis across 15 countries, and rigorous research shows the results: healthier kids, stronger businesses, sturdier homes, and more resilient families and local economies. Cash is now widely recognized as one of the most scalable, cost-effective, and dignified forms of aid. Our ambition goes beyond our own programs. We want cash to become the benchmark for aid, much as the index fund became the benchmark for investing, so that every aid dollar is held to one question: is this doing more good than giving the money directly to people living in poverty? We’re growing fast, and this is a rare and important moment to join. We expect to hit $1B in revenue in 2026 with significant growth forecast for 2027. At the same time we are building a new technology stack and operating model designed for a roughly 10x change in scale, and we are actively pursuing partnerships with major funders to move even more money in bigger ways, to people who need it. We are known for our extensive integration of technology into field processes; our quantitative approach to performance measurement; and our commitment to rigorous, independent, experimental evaluation of our impact, with multiple Randomized Control Tri

BlueCloud is a Snowflake Elite Partner and the 2026 CoCo Catalyst Snowflake Partner of the Year. We help enterprise organizations move from fragmented legacy systems to unified, AI-ready Snowflake platforms — delivering data migration, engineering, governance, BI & analytics, and AI/ML solutions 40–50% faster than traditional approaches. With 450+ Snowflake consultants, 200+ enterprise transformations under our belt, and a 100% Snowflake focus, we combine advisory-led thinking with AI-powered accelerators to turn months of work into weeks of results. Our clients span Financial Services, Healthcare & Life Sciences, Retail, Manufacturing, Energy, and more — and the outcomes speak for themselves: 97% faster reports, 40% fraud reduction, $1.5M in client savings, and 10× client growth. We don't just strategize — we execute. About the Role BlueCloud is seeking an experienced Data Architect to lead the assessment, design, and modernization of enterprise data platforms, with a strong focus on Snowflake. This role combines architecture leadership, hands-on platform expertise, and direct client engagement. You will define target-state architectures, assess existing data estates, establish modernization roadmaps, and guide multidisciplinary delivery teams through implementation. You will also help clients create secure, governed, cost-efficient, and AI-ready data platforms that support both current analytics requirements and future AI and context-layer initiatives. The ideal can

Overview DecisionPoint seeks a Senior Data/ETL Engineer to sustain SQL Server Integration Services (SSIS), develop approved integrations, and maintain reliable data pipelines supporting the USMEPCOM ENLIST program. This position will implement raw, standardized, and curated data layers using SQL, Python, APIs, and incremental loading techniques. The engineer will reconcile data, manage schema changes, maintain lineage, and troubleshoot complex pipeline failures to support accurate and timely mission analysis, AI capabilities, and reporting. The Senior Data/ETL Engineer will work with the Lead Data/ETL Engineer, database administrators, data governance personnel, AI/ML engineers, BI developers, testers, and Government stakeholders to maintain secure, traceable, and supportable data integrations. This position is remote, with Chicago-area candidates preferred. Note: By applying to this position, you acknowledge and consent to having your resume included in an active competitive government contract bid. Duties & Responsibilities The Senior Data/ETL Engineer will: Sustain, troubleshoot, and optimize SSIS packages, configurations, schedules, and dependencies. Develop and maintain approved integrations between source systems, databases, APIs, analytical environments, and reporting platforms. Write SQL queries, stored procedures, transformations, and reconciliation routines. Develop Python scripts for data ingestion, processing, validation, orchestration, and operational automat

Role type & Location Full time Remote (Work from home) based either Dublin or UK only Occasional Travel to Dublin office if Ireland based (Glasnevin) or UK (Oxford) if UK based Visa We regret we cannot offer Irish or UK visa sponsorship for this role About this Role You will be the engineer who protects sensitive data at Deciphex We work in clinical and research digital pathology, so the data includes patient health information, personal data and confidential business and customer data. You will report to the Principal Engineer - Cybersecurity & DevOps and join a lean, hands-on team where each engineer owns a defined area, with no large support structure. In your first 12 months, three priorities come first: Data loss prevention and information protection on Google Workspace and Microsoft 365: classification, labelling and sharing controls, so sensitive data is shared only as intended. Least-privilege access to sensitive data: regular access reviews, and controlled, logged sharing with external providers and customers. Security review of the tools, integrations and data flows that touch sensitive data, including flows to on-premises laboratory systems, integrations and workflows, and the data side of our AWS-hosted products. Our technology environment: We are a Google Workspace company that also uses Microsoft services, and our products run on AWS. You will work with the native data-protection and audit features of each platform: Google Workspace DLP, labels and conte

What you'll do... Position: Senior Data Scientist – Supply Chain Optimization Job Location: 811 Excellence Dr, Bentonville, AR 72716 Duties: Design and deploy intelligent, goal-driven agents to optimize customer delivery promises, fulfillment routing, and root-cause-analysis across end-to-end and supply chain workflows. Build agents capable of reasoning, planning, tool usage, and memory management (short/long-term memory) using frameworks such as LangChain, LangGraph, and Google ADK (Agent Development Kit), Pydantic. Leverage state-of-the-art LLMs (GPT, Claude, Gemini), and implementing trainable model architectures (leveraging Huggingface, PyTorch, Tensorflow) to build sophisticated NLP solutions, including context engineering, chain-of-thought reasoning, and tool calling. Deployment of AI/ML and Agentic systems into production environments. Utilize Docker, Kubernetes, cloud platforms (GCP/Azure) and Airflow to ensure scalability, reliability, and low latency, with robust CI/CD pipelines for continuous improvement. Build scalable Retrieval-Augmented Generation (RAG) systems to enable real-time access to logistics policies, SOPs, and network constraints. Manage vector databases (Pinecone, Milvus, ChromaDB) and knowledge graphs to improve decision accuracy in fulfillment, routing, and issue resolution. Apply classical and advanced machine learning techniques (XGBoost, K-Means Clustering, Regression, SVMs, Random Forest etc.) on large-scale structured and unstructured datasets

Overview At ALTOUR, we believe people are the driving force behind every meaningful connection - our clients’ and our own. With more than 1,000 team members and a presence in over 80 countries, we are a globally recognized leader in corporate travel management and a proud division of Internova Travel Group , the highest-ranking American corporate travel management company (Business Travel News). Our mission is to manage the complexities of connecting people so they can represent their brands in the most impactful way possible. That same philosophy shapes our workplace culture, one that evolves, improves, and empowers our people to grow and thrive. We embrace innovation and leading-edge technology to create smarter, faster, and more tailored solutions - not just for our clients, but for each other. At ALTOUR, you’ll be part of a collaborative, forward-thinking environment where your voice matters and your success is a shared journey. Click here for more information about Altour. Responsibilities JOB OVERVIEW Transforming Data into Intelligence, Automation, and Business Growth. The Data Solutions Developer is a strategic role responsible for transforming data into intelligence, automation, and measurable business value that drives growth, improves decision-making, and accelerates enterprise performance. Serving at the intersection of data, technology, analytics, and client solutions, this role advances ALTOUR's enterprise intelligence capabilities through automation, governance

We are seeking a security-minded and growth-oriented Senior DataOps Engineer with 6+ years of experience to lead the automation, optimization, and securing of our AWS data ecosystem. This role is tailor-made for a curious engineer who runs toward complex challenges rather than away from them. You will design next-generation, secure cloud data infrastructure while continuously exploring and learning new AWS services and DevSecOps methodologies to keep our data stack ahead of the curve. Job title: Senior DataOps Engineer (AWS & Security Focused) Department: Engineering / Data Engineering Workplace type: Remote Experience: 6-12 years Employment type: Full-time Requirements Key Responsibilities Key Responsibilities AWS Data Infrastructure: Design, deploy, and maintain highly available and scalable data platforms utilizing AWS-native services. Data Security & DevSecOps: Embed security guardrails directly into the data lifecycle. Manage encryption, data masking, network security, and secure access controls. Pipeline Automation (CI/CD): Build and manage automated pipelines for data infrastructure and code deployments using infrastructure-as-code. Orchestration & Governance: Oversee data workflow orchestration and implement real-time security monitoring, logging, and automated compliance auditing. R&D and Continuous Learning: Proactively research, prototype, and implement emerging AWS services and open-source data tools to solve complex infrastructure bottlenecks. Req

Senior Data Ingestion Engineer Req number: R8847 Employment type: Full time Worksite flexibility: Remote Who we are CAI is a global services firm with over 9,000 associates worldwide and a yearly revenue of $1.3 billion+. We have over 40 years of excellence in uniting talent and technology to power the possible for our clients, colleagues, and communities. As a privately held company, we have the freedom and focus to do what is right—whatever it takes. Our tailor-made solutions create lasting results across the public and commercial sectors, and we are trailblazers in bringing neurodiversity to the enterprise. Job Summary We are looking for a motivated Senior Data Ingestion Engineer ready to take us to the next level! If you have strong experience in designing, building, and supporting enterprise-scale data ingestion solutions across non-SAP, SAP, on-premises, SaaS, and cloud-based source systems, and are looking for your next career move, apply now. Job Description We are seeking an experienced Senior Data Ingestion Engineer with strong hands-on expertise in designing, building, and supporting enterprise-scale data ingestion solutions across non-SAP, SAP, on-premises, SaaS, and cloud-based source systems. This position will be full-time and remote What You’ll Do Design, develop, configure, and support enterprise data ingestion pipelines using Fivetran Build Fivetran connectors for heterogeneous source systems, with particular emphasis on: Oracle | DB2 | Microsoft SQL Server

Milestone Technologies is looking for a Service Compliance Lead to join our team. The function of the Service Compliance Coordinator is to identify and report on service operational performance to ensure achievement of service compliance across receiving, UR management, inventory management and shipping. With the assistance of the Lead Service Improvement Engineer, the coordinator will employ service performance data analysis & trending to investigate service performance. They will also use root cause analysis investigation to explore reasons for missed targets & non-compliance. This output will be used to ensure harmonization of service standards and adherence to operational compliance across the North America Regional IBOS service. They will work with internal stakeholders to take action upon gaps in standards and compliance to reduce any potential operational or commercial impact. Responsibilities Produce and Analyze data metrics to support the tracking and report of service SLA's & KPI's • Track and report on Milestone Team performance critical success factors as per contracted SOW Develop, track and report on underlying Operational Data, not limited to SOX, UR's, H&S, Site Storage Capacity and Aging Inventory Support Root Cause Analysis by identifying opportunity for RCA on areas such as SOX, UR Management, Cycle Count, Receipt Management and Month End that assists in the drive of service rollout of solutions that assist in developing and managing adheren

ML Data Engineer – Remote Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is a fantastic opportunity to join an established and well-respected organization offering tremendous career growth potential. Job Title: ML Data Engineer Location: 100% Remote (United States) Position Type: Full-time, Direct W2 Salary Range: $100,000–$150,000 Annually Experience: 6+ years Sponsorship: U.S. Citizens, Green Card Holders, EAD Holders, and H-1B transfer candidates are encouraged to apply. We are unable to sponsor new H-1B visa petitions for this position. Job Summary We are seeking an ML Data Engineer to build and operate the large-scale data systems that power modern AI training and evaluation pipelines. The role combines deep data engineering expertise with a strong understanding of AI workloads, focusing on ingestion, transformation, quality assurance, lineage, and high-throughput delivery of data to training jobs across diverse modalities. The ideal candidate has experience operating petabyte-scale data systems, strong software engineering fundamentals, and clear understanding of how data infrastructure choices propagate into model quality and training efficiency. Required Qualifications Bachelor’s or Master’s degree in Computer Science or a related field. Six or more years of data engineering experience, with significant work supporting ML or AI workloads. Strong

Airbnb was born in 2007 when two hosts welcomed three guests to their San Francisco home, and has since grown to over 5 million hosts who have welcomed over 2 billion guest arrivals in almost every country across the globe. Every day, hosts offer unique stays and experiences that make it possible for guests to connect with communities in a more authentic way. The Community You Will Join: You will join a collaborative team of data scientists, analysts, engineers, product managers and designers who build innovative products for Airbnb guests and hosts. Your core team will consist of data scientists within the Guest & Host Data Science organization, who develop models, measurement frameworks, foundational data products, and intelligence to improve and shape Airbnb marketplace and product. The Difference You Will Make: Under this general application, you will be considered for applications over several tracks. Pricing Data Science - Responsible for developing a pricing guidance system for hosts, as well as methods (experimental and observational) to measure the impact of pricing feature launches. Guest and Host Product Data Science - Responsible for building optimized products, tools, and programs that empower our hosts to thrive on our platform and our guests to easily discover and book stays that match their needs. Marketplace Data Science - Responsible for building data products, inference frameworks, and intelligence to enable the growth of our marketplace. As a data scie

Senior Data Engineer, Customer Data AI & Data Workflows |Remote | Full-Time | EMEA Who We Are: Front Office Transformation Experts Bluprintx (BPX) is a global, AI-powered consultancy built to design and deliver the intelligent front office for CMO and CRO executives. We are private equity-backed and scaling fast, with 300 active customers across 10 countries and more than 1,750 implementations. We connect people, technology, and AI to turn fragmentation into performance, partnering with global leaders to modernize how marketing, CRM, content, AI & Data connect. At BPX, we hire operators and specialists who thrive at the intersection of commercial strategy and technical execution. What We Do: Cutting Complexity Across the Front Office We help the world's most ambitious companies, including Uber Eats, BNY, and Xerox, untangle the operational complexity that slows enterprise growth. As a Gold Adobe Solution Partner and Salesforce Summit Partner, we deliver strategy and implementation across the full front office. Our proprietary methodology builds sustainable enabled ecosystems that maximize ROI and accelerate speed to market. By embedding AI into commercial workflows, we help clients move faster and stay ahead. The Role BPX is hiring a Senior Data Engineer as we build out a dedicated Data capability alongside our Intelligent Marketing practice. You will build and run the pipelines, models and data products that feed enterprise front-office programmes, turning raw custom

ARIZONA GOVERNOR'S OFFICE GOVERNOR’S OFFICE OF STRATEGIC PLANNING & BUDGETING GRANTS & FEDERAL RESOURCES SENIOR BUSINESS INTELLIGENCE & DATA ARCHITECT This position is currently grant funded with a salary range of $96,000-$109,000, dependent on experience. A wide salary range is posted for this position and any job offer is based upon a salary analysis which considers relevant experience, education, certifications, and state seniority as compared to others doing substantially similar work. There is no guarantee an offer will be at the top of the posted range based on the salary analysis. Job Location: 1700 West Washington Street Phoenix, Arizona 85007 Posting Details: Annual Salary Range: $96,000 - $109,000 This position will close on Friday November 6, 2026 Job Summary: The State seeks a Senior Business Intelligence & Data Architect to serve as the authoritative technical expert for the State’s enterprise grants business intelligence (BI) ecosystem. Operating at the intersection of state grant policy, cloud database engineering, and interactive analytics, this role manages the end-to-end data architecture and reporting strategy for the statewide grants management SaaS platform. The Architect will integrate data across Arizona's Grants Management System (AzGMS), the state accounting system (AZ360), legacy databases, and federal exports to build automated reporting pipelines. Working collaboratively with the Technical Integration team, SaaS vendor, ERP/AZ360 te

Overview DecisionPoint seeks a Data and BI Tester to document data models, metadata, ETL processes, data flows, BI solutions, testing activities, troubleshooting procedures, and user guidance supporting the USMEPCOM ENLIST program. This Journeyman-level position will work with data engineers, database personnel, BI developers, testers, governance specialists, and Government stakeholders to maintain accurate documentation aligned with applicable architectural and metadata standards. The role will capture technical designs, testing results, troubleshooting findings, and operating instructions so technical teams and users can understand, validate, maintain, and use data and BI capabilities effectively. This position is remote, with Chicago-area candidates preferred. Note: By applying to this position, you acknowledge and consent to having your resume included in an active competitive government contract bid. Duties & Responsibilities The Data and BI Tester will: Create and maintain documentation for data models, warehouse components, metadata, and BI solutions. Document ETL processes, transformation rules, source-to-target mappings, and data flows. Maintain descriptions of data relationships, calculations, dependencies, and reporting logic. Apply established architectural, metadata, terminology, and documentation standards. Work with developers and engineers to verify that documentation reflects implemented functionality. Document test procedures, scenarios, expected results

DHS Suitability Required About Aretum Aretum is a mission-driven organization committed to delivering innovative, technology-enabled solutions to our customers across defense, civilian, and homeland security sectors. Our teams work at the intersection of strategy, technology, and transformation, helping agencies solve their most critical challenges. We believe in investing in our people and creating a culture where collaboration, inclusion, and professional growth are at the forefront. Job Summary Aretum is seeking a Senior Data Solution Engineer that will focus on designing data governance, tagging, and metadata standards and working with medallion architecture. The Senior Data Solution Engineer will support consequential design decisions and assist with determining whether solutions scale or accumulate technical debt. Due to the nature of our work as a federal consulting organization, employees may be expected to handle Controlled Unclassified Information (CUI) and must adhere to applicable safeguarding and compliance requirements. Responsibilities Design and implement data management and governance solutions within Databricks and Unity Catalog, ensuring data sets are properly classified, documented, secured, and managed throughout their life cycle. Support data architecture and design decisions by evaluating solution scalability, maintainability, and performance. Develop and implement data governance tagging, meta standards, and classification frameworks to support data di

The company Small businesses move fast. Opportunities often don’t wait, and cash flow pressures can appear overnight. To keep going, and growing, SMEs need finance that’s as flexible and responsive as they are. That's why we built iwoca . Our smart technology, data science and five-star customer service ensures business owners can act with the speed, confidence and control they need, exactly when it's needed. We’ve already cleared the way for 100,000 businesses with more than £4 billion in funding. Our passionate team is driven to help even more SMEs succeed, through access to better finance and other services that make running a business easier. Our ultimate mission is to support one million SMEs in their defining moments, creating lasting impact for the communities and economies they drive. The team The Compliance team’s mission is to keep iwoca a safe and trusted lender for UK small businesses, and to make the compliant path the easy path for the teams we work with. We make sure iwoca meets its regulatory obligations, particularly the financial crime, sanctions and data protection requirements that apply across our suite of products and services. We are the second line of defence for the UK business. We advise the people building and running the business on what the rules require, set the policies and standards they work to, and test whether what happens in practice matches them. We work alongside the product teams so that each product meets its obligations and can grow. D

Role Title: Imagery Analyst - AI/ML Training Data Role Type: Contractor — part-time or full-time Location: Remote, U.S.-based micro1 is engaging Imagery Analyst - AI/ML Training Data experts to contribute to a high-impact customer project centered on drone and maritime sensor imagery. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. Scope of Work Review and refine machine-generated bounding boxes for accuracy on still imagery from drone and maritime sensors. Identify and annotate objects missed by AI models. Label data maintaining consistency and adherence to provided guidelines. Deliver completed annotated images within a secure Navy environment Maintain steady, reliable throughput of completed images; compensation is based on each image submission. Transition to annotation of video frames as the project evolves and expands in scope. Document and communicate any ambiguous cases or guideline questions clearly, demonstrating strong written and verbal skills. Preferred Qualifications U.S. citizenship and ability to obtain a DoD Common Access Card (CAC) or willingness to engage in the sponsorship process. Demonstrated attention to detail and consistency performing repetitive, accuracy-critical tasks. Experience with data labeling, bounding box annotation, or similar dat