Remote Data Engineering & Analytics Jobs

Design, develop, and maintain scalable and reliable data platforms and pipelines for analytics and operational use cases • Build distributed data processing workflows using Apache Spark, pySpark, and Databricks • Develop and evolve cloud-native data solutions leveraging Azure and AWS services • Model and optimize data structures for analytics, reporting, and downstream consumption • Integrate data from multiple heterogeneous sources while ensuring data quality, consistency, and traceability • Implement data quality controls, schema validation, lineage tracking, and monitoring processes • Optimize performance, scalability, reliability, and cost-efficiency of data pipelines and infrastructure • Collaborate closely with scientists, analysts, and engineering teams to translate business and research requirements into technical solutions • Contribute to CI/CD processes, infrastructure automation, and engineering best practices • Research and introduce new technologies and approaches within the data engineering ecosystem 3+ years of commercial experience in Data Engineering • 2+ years of hands-on production experience with Databricks • Strong expertise with Delta Lake, including medallion architecture and table optimization • Advanced proficiency in Python, pySpark, and SQL • Deep practical knowledge of Databricks components including Unity Catalog, Lakeflow Jobs / Workflows, and job optimization • Hands-on experience with AWS services including S3, IAM, KMS, and at least one of AWS

Role Title: Data Analyst Role Type: Contractor Location: Remote micro1 is engaging Data Analysts to contribute to a high-impact customer project focused on business data. 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. This opportunity is ideal for experienced professionals who can expertly review, analyze, and ensure the privacy of large-scale data sets, with a particular emphasis on business data and quality assurance. Scope of Work Review and analyze extensive business data sets for accuracy, completeness, and relevance. Conduct thorough document review with strict adherence to data privacy and PII protocols. Identify, flag, and resolve data quality issues, inconsistencies, and anomalies. Deliver detailed feedback and recommendations on data findings to inform AI training processes. Contribute to the development and refinement of quality assurance standards for data review assignments. Collaborate with project stakeholders through clear, professional written and verbal communication. Ensure compliance with all established data privacy and security guidelines throughout project deliverables. Preferred Qualifications Demonstrated expertise in handling and analyzing large business data sets. Proven experience managing data containing personally identifiable information (PII) and sensitive material. Strong understanding of data privacy regulati

Overview DecisionPoint seeks a Lead Data/ETL Engineer to provide technical leadership and hands-on engineering for data ingestion, transformation, integration, and delivery under the USMEPCOM ENLIST program. This SME-level position will maintain and optimize SQL Server Integration Services (SSIS), implement approved API integrations and incremental loading approaches, and build raw, standardized, and curated data layers. The engineer will establish reliable processes for reconciliation, retries, schema changes, identifier mappings, lineage, and failed-record handling. The Lead Data/ETL Engineer will collaborate with database administrators, architects, governance personnel, AI/ML engineers, BI developers, testers, and Government stakeholders to deliver accurate, traceable, and maintainable data pipelines supporting mission analysis, AI capabilities, and reporting. 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 Lead Data/ETL Engineer will: Lead the design, implementation, maintenance, and optimization of enterprise data integration and ETL pipelines. Maintain and optimize SSIS packages, configurations, schedules, dependencies, and execution processes. Develop SQL queries, stored procedures, transformations, and reconciliation logic. Use Python or another approved automation language

At Logicalis Spain, we are looking for Senior Data Engineers with hands-on experience in the advanced capabilities of the Snowflake platform and involvement in end-to-end analytics projects, data platform modernization, and AI initiatives. The Data & AI team at Logicalis works with national and international clients, executing major projects in data engineering, artificial intelligence, advanced analytics, data strategy, governance, integration, and architecture, covering the entire data lifecycle. RESPONSIBILITIES Technically lead data solutions and projects based on Snowflake, performing consulting and technology assessment tasks that provide value, with the ability to interface directly with clients and stakeholders. Design and develop modern data architectures and pipelines on Snowflake. Implement data ingestion, transformation, and exploitation processes using ELT/ETL approaches. Design efficient data models for analytical and reporting environments. Work with advanced Snowflake features such as Streams & Tasks, Snowpipe, Time Travel, Zero-Copy Cloning, Snowpark, Cortex AI, Native Apps, Security, RBAC, and access governance. Participate in Modern Data Warehouse projects, data integration, data transformation and modeling, data sharing, data governance, cost and performance optimization, Data Science and Artificial Intelligence use cases, and more.

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: Data Storage Architect Location: 100% Remote (U.S.) Position Type: Full-time, Direct W2 Salary Range: $140,000–$155,000 Annually Experience Required: 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 a Data Storage Architect with deep expertise across enterprise storage platforms — NetApp ONTAP, Pure Storage, and Ceph — to design, deploy, and operate the storage foundation that supports our compute, virtualization, database, and Kubernetes workloads. The role spans block, file, and object storage across data center, edge, and cloud environments, with strong attention to performance, data protection, and cost. The ideal candidate has operated heterogeneous storage estates at scale, understands the storage characteristics of diverse workloads, and brings strong automation discipline to storage engineering work. Required Qualifications Five or more years of enterprise storage engineering experience. Deep expertise in NetApp ONTAP or Pure Storage FlashArray/FlashBlade. Hands-on experience with Ceph at producti

This is a remote position. We are looking for a detail-oriented and tech-savvy Data & Systems Administrator to support product, customer, pricing, and e-commerce data maintenance across business systems. This role is ideal for a professional who enjoys working with data, learning new technologies, and ensuring information is accurate and up to date. You will assist with SAP maintenance, e-commerce platform support, data quality checks, system testing, reporting, and process documentation. Training and development opportunities are available for candidates who demonstrate strong digital skills, logical thinking, and a willingness to learn. Key Responsibilities Maintain accurate product, customer, and approved pricing information in SAP and related business systems. Assist with new product creation, product updates, lifecycle changes, data validation, and exception reporting. Support customer account setup, onboarding, product catalogue updates, and routine queries on the e-commerce platform. Upload approved pricing, verify data accuracy, monitor effective and expiry dates, and maintain approval records. Test system fixes and enhancements, document results, identify defects, and report issues when necessary. Prepare basic reports and maintain process documents, work instructions, and user guides. Respond to routine internal queries relating to business systems and data. Assist with data cleansing, quality improvement initiatives, and other system-related projects. Follow es

📍 Spain | 100% Remote 🕘 Permanent contract 🗣️ Fluent English + Native/Bilingual Spanish (mandatory) 🎯 About the role We are looking for a Data Architect with the soul of a consultant for a technology company specializing in modern data architectures and AI. We don't want someone sitting on the sidelines making presentations: here you will lead proposal designs, validate technology through PoCs, act as a bridge with delivery teams, and serve as a technological innovation radar. We are looking for a long-term relationship — where you grow with the team, leave your mark on projects, and help build lasting client relationships based on technological honesty and mutual trust. ✅ What you will do Translate client challenges into cutting-edge data architectures (cost-effective, secure, and scalable) to win key tenders. Transform technical solutions into business narratives and lead technical defenses in front of clients. Execute key projects: architecture assessments, technical consulting, and PoC development. Act as a bridge between "what is sold" and "what is built," supporting production teams in the initial phases. Test the latest tools and approaches (GenAI, Modern Data Stack) to maintain the team's competitive edge. 🔍 What we are looking for 4 to 5 years of experience as a Data Engineer or Data Architect in data warehousing projects and/or modern data architectures. Expert vision in architectural design.

At Sicredi, we value a collaborative environment where different types of knowledge connect to generate impact and support business evolution. We believe in sharing knowledge, continuous development, and the joint creation of solutions. We are looking for a Senior Data Engineer, in an opportunity preferentially aimed at women, to work with data integration, engineering, governance, and delivery. The position will have a strong technical role in building and evolving pipelines, ingestions, data marts, tables, and dashboards, as well as translating business needs into data solutions. It will also play a role in technical leadership, mentoring, and collaboration with different areas, contributing to the quality, scalability, and evolution of the data strategy. Integrate and automate new data sources into the data lake and data warehouse, ensuring accessible and usable data. Create, maintain, and optimize pipelines and data ingestion processes, focusing on quality, performance, sustainability, and cost. Develop integrations for high-complexity sources and databases. Create and maintain data marts, schemas, and tables in the raw, trusted, and refined layers. Ensure data quality, consistency, security, and governance, supporting documentation and cataloging. Translate business rules and needs into data requirements and technical solutions. Build advanced tables and dashboards to support analysis and insight generation. Work in partnership with analysts and scientists.

Location: Argentina | Can be 100% remote. Mission: Join a data team to design, develop, and operate ETL/ELT pipelines in Azure, ensuring data ingestion, transformation, and availability for business consumers and analytical models. The role involves technical responsibility for implementing solutions using Azure Data Factory, Azure Databricks, and storage ecosystems (Blob Storage, Data Lake) while applying best practices in data quality, performance, and governance. Responsibilities: Design and develop data ingestion and transformation pipelines using Azure Data Factory and Azure Databricks. Implement ETL/ELT processes with Apache Spark and PySpark for batch and near-real-time processing. Model and optimize SQL queries and data structures for analytical consumption and reporting. Manage and organize data in Azure Blob Storage and Azure Data Lake (Gen2), defining partitioning, formats, and retention policies. Build reproducible, parameterizable, and observable pipelines; instrument logging, metrics, and alerts. Collaborate with data science, BI, and product teams to define data contracts, SLAs, and quality requirements. Automate pipeline deployments and testing; apply version control and CI/CD practices for data artifacts. Ensure compliance with security and privacy policies when handling sensitive data. Document architectures, pipelines, and runbooks; transfer knowledge.

Job ID: 19149 Alternate Locations: Newell Brands is a leading $8.3B consumer products company with a portfolio of iconic brands such as Graco®, Coleman®, Oster®, Rubbermaid® and Sharpie®, and 25,000 talented employees around the world. Our high-performance culture, unparalleled curiosity about the world around us, and talented people fuel our success. Our culture is enabled through our core values which guide all we do and how we win as One Newell. They are Integrity, Teamwork, Passion for Winning, Ownership & Leadership. Regional Digital Program Manager – Operational Excellence Engineering, EMEA & APAC Purpose of the role Join our regional Operational Excellence Engineering Digital team and play a key role in accelerating digital transformation across our manufacturing network in EMEA & APAC . Our team owns and develops the shared regional platform connecting machine data, orchestration, analytics and business systems , providing manufacturing sites with the standards and capabilities they need to turn digital solutions into tangible operational improvements. As Regional Digital Program Manager , you will be the driving force behind the execution of this regional digital program. You will coordinate rollout waves, site engagements, external partners and demand intake, ensuring that priorities translate into action and that regional solutions are successfully adopted across our manufacturing sites. This is a highly collaborative role for someone who enjoys connect

Decision Inc. is looking for a talented Senior AWS Data Engineer to join our Data, Information & Analytics practice. In this role, you'll design, build and maintain scalable, secure, high-performance data platforms and integration solutions using native AWS services. Working alongside experienced consultants, you'll help deliver trusted, high-quality data that powers analytics, reporting and AI/ML initiatives. This role offers the opportunity to contribute across the full data engineering lifecycle—from building modern data pipelines and supporting cloud migrations to delivering robust, enterprise-scale data platforms. At Decision Inc. , we're committed to developing our people through mentorship, continuous learning and meaningful project experience, with a proven track record of supporting long-term technical and career growth. Who Are We? Decision Inc. is a global digital partner that enables businesses to reinvent themselves to realise their full potential. We deliver agility, resilience, and intelligence to any enterprise, enabling them to adapt quickly and thrive through innovation and opportunity. Our teams have engaged with more than 400 clients globally over the past 15 years, providing them with the expertise to build, operate, and optimise their digital businesses. We achieve this by leveraging the world's best technology to drive our client's business ambitions forward into tomorrow's reality. These technologies include but are not limited to: Microsoft, SAP,

GuidePoint Security provides trusted cybersecurity expertise, solutions and services that help organizations make better decisions and minimize risk. By taking a three-tiered, holistic approach for evaluating security posture and ecosystems, GuidePoint enables some of the nation’s top organizations, such as Fortune 500 companies and U.S. government agencies, to identify threats, optimize resources and integrate best-fit solutions that mitigate risk. General Description GuidePoint is both a Value-Added Reseller (VAR) and a professional services organization, and an award winning Cribl partner (Cribl Americas Solution Provider Partner of the Year, 2026). In this role you will work directly with our vendor partners and account teams, see the same problems across many client environments, and keep up with a market that is changing quickly. Security data is growing faster than security budgets. Clients come to us because their SIEM bill is out of control, their data is inconsistent, or they are moving platforms and need the data to arrive clean. You will design and build the pipelines that fix those problems, and you will explain the cost and security trade-offs to the people who pay for them About our Mid-Atlantic SecOps practice Our team of data engineers, SecOps engineers, consultants, architects, and platform specialists focuses on data integration, normalization, quality, routing, retention, and platform optimization. We partner with clients, account executives, project manag

Overview The Data Scientist – Journeyman will support the Army's ammunition planning and resupply mission through the development, sustainment, and refinement of data-driven analytics and machine learning models. This role will work within a team to maintain and enhance ML-driven demand forecasts, support dashboard metrics in Army Vantage, and contribute to workflow automation that improves ammunition distribution efficiency and unit readiness. LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed. Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors—helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value. Responsibilities Responsibilities Support development, testing, and refinement of forecasting and analytics models for ammunition consumption and resupply. Maintain and enhance existing Vantage-based analytics, dashboards, and data products, including incorporating new data sources. Assi

Category: Education Location: BAA5044-Data Mining (4CR) As an experienced online educator (LINC Fellow), the candidate will work as an independent contractor of LINC and serve a diverse international student body for Master of Business Analytics programs studying at premier Australian and Asian universities. The candidate must possess strong knowledge of data mining and applied data analytics, with expertise in analysing business problems, preparing and transforming data, and developing models to extract meaningful patterns and insights. They should be able to support students in applying supervised and unsupervised learning techniques to real-world datasets, including classification, regression, clustering, and association rule mining, while demonstrating appropriate model validation and data quality practices for effective knowledge discovery and business decision-making. Key Skills Required Data mining processes and applications Data pre-processing, cleaning, and quality assessment Data analysis and knowledge discovery Supervised learning techniques Classification and regression Model development and validation Unsupervised learning techniques Clustering and pattern recognition Association rule mining Practical application of data mining to real-world business problems Critical thinking and analytical problem-solving Ability to work with real-world datasets and derive actionable insights Ability to support Master of Business Analytics-level assessments and practical projec

Employment Type:Project-based Location: Remote: USA, LATAM About Expedock We are a tech-enabled workforce augmentation platform leveraging top 1% offshore talent & cutting edge technology to enable businesses to unlock their full potential Who We Need We’re looking for a detail-oriented, motivated individual to join our team as an Entry-Level AI Data Annotator. This role is perfect for anyone who’s curious about AI and computer vision and wants to get hands-on experience, even if it’s your first time working with these kinds of datasets. What You’ll Do Perform basic image segmentation and object labeling following clear instructions, including polygons, bounding boxes, and semantic segmentation. Work with datasets such as roads, vehicles, curbs, lane markings, satellite imagery, blueprints, roofing, etc. Ensure accuracy by following simple QA checks and guidelines. Meet daily productivity goals and help keep projects on track. Ask questions and collaborate with team leads to resolve unclear labeling tasks. Suggest small improvements to make your workflow easier and faster. What You Need Good attention to detail and a careful eye for visual accuracy. Basic computer skills. Experience with annotation tools (Labelbox, CVAT, Supervisely) is a plus but not required. Willingness to learn and follow structured guidelines. Clear communication skills for asking questions or reporting issues. Comfortable working in a remote or team-based setup with productivity tracking. Performanc

At CI&T, we help large enterprises transform the potential of AI into real business impact with AI Deployment, AI-native execution, and tech-integrated business solutions. With 30 years of experience in technological transformation, we accelerate innovation with expertise in Agentic SDLC, Application modernization, Data & AI, Martech and Business strategy. We are 8,000 CI&Ters across more than 25 countries, collaborating to build solutions with real impact. AI is already part of how we work, evolve, and innovate every day. About Us: At CI&T, our rapid growth is fueled by the innovative solutions we create for our global clients. We are seeking a Master DataOps Engineer to own the operational backbone — environments, CI/CD, and monitoring — for a large-scale Finance data platform modernization at a major US mortgage lender, so the platform being built is reliable and cost-governed from day one, not bolted on at the end. Responsibilities: Own environment provisioning and platform readiness across the lakehouse and cloud-warehouse layers, ahead of and during the build. • Build and operate the CI/CD pipeline for metric definitions and transformation logic: Git-based version control, promotion across dev/test/UAT/production, automated regression on reconciliation suites at every promotion. • Implement monitoring and alerting across the pipeline: replication lag and failure alerts, lakehouse landing-zone health (including schema-change events), warehouse refresh sta

At Cision , we believe in empowering every individual to make an impact. Here, your voice is heard, your ideas are valued, and your unique perspective fuels our collective success. As part of our global team, you'll thrive in an environment that champions curiosity, collaboration, and innovation, all while making meaningful contributions to the brands we accelerate. Join us in shaping the future of communication and building authentic connections that matter. Whether you're solving complex problems or driving bold innovations, your growth is our success, and together, we’ll create the conversations of tomorrow. Empower your impact at Cision . Be seen, be understood, be you. Job Summary: As a Data Analyst, you will be responsible for generating and managing data that drives Cision reports as you will be establishing a solid foundation of accurate and timely data. As a Data nalyst, you will play a critical role in ensuring the success of all deliverables and supporting the coding and report creation process through all phases. Essential Duties and Responsibilities. Ensures coding analysis production is consistent, high quality, and aligned with strict delivery timelines by tracking performance and enforcing standards. Provide oversight of junior coding teams, providing guidance on best practices and delivering constructive feedback to address performance gaps, fostering continuous improvement and skill development. Manages content searches and uploading processes, prioritize co

Company Overview: Our client is a fast-growing performance marketing agency specializing in mission-driven organizations across higher education and nonprofit sectors. Since launching in 2020, the agency has built a strong reputation for combining strategic thinking, creative execution, and data-driven marketing to help universities and organizations achieve measurable growth. Your Role: The Senior Data Engineer sits at the center of the agency's Data and Analytics function, connecting every paid media platform and CRM the agency touches into a single, reliable source of truth. You'll own the full path data takes: from a client's ad accounts and CRM, through Adverity, into a BigQuery warehouse, through modular dbt/Dataform transformations, and out to the Looker Studio dashboards and automated Google Sheets reports the team and its partners rely on daily. Reporting to the Data and Analytics Manager, you're joining at a pivotal moment — the agency is scaling its roster of education and nonprofit partners, and this role is instrumental in evolving the automated reporting suite that makes that growth possible without sacrificing data quality or client trust. You'll: Own data ingestion & pipeline architecture — connect and maintain API pipelines from paid media platforms (Meta, Google Ads, LinkedIn, TikTok, programmatic) into Adverity, build custom Python connectors for anything not natively supported, and architect scalable pipelines from source system through to dashboard Ow

Standard Job Description Define how the data will be stored, consumed, integrated and managed by different data entities and IT systems, as well as any applications using or processing that data in some way.Design and implement data solutions by defining database physical and virtual structures and functional capabilities, security, back-up, and recovery specifications; Perform data modeling, data architecture map, data governance for data at rest; Work through all stages of a data solution lifecycle, e.g., analyze / profile data, create conceptual, logical and physical data model designs, architect and design ETL, reporting and analytics; Ensures that an organization follows a formal data standard and that its data assets are in line with the defined data architecture and/or with the goals of the business; Maintains metadata registry, oversees data management, optimizes databases and/or all data sources; Forward looking to future data management techniques and processes. Tracking the state of data that is used for 1LMx Gap & Common reports With multiple go-lives, and usage of 1LMx and legacy data, how to ensure right data is used Capture and track the legacy & 1LMx models and the associated data As we work through transitional architectures confirm the correct data is used. Tracking of data needs from the legacy end-user data platforms Ensure data is fit for purpose, and the correct data is retained Ensure the data customizations from legacy environments are disposit

What you'll do... Position: Principal, Data Scientist Job Location: 811 Excellence Dr, Bentonville, AR 72716 Duties: Tech. Problem Formulation: Analytics/big data analytics / automation techniques and methods; Business understanding; Precedence and use cases; Business requirements and insights. To analyze the business problem within one's discipline and questions assumptions to help the business identify the root cause. Identify and recommend approach to resolve the business problem to create effective technology focused solutions. Set relevant deliverables based on the established success criteria and define key metrics to measure progress and effectiveness of the solution. Quantify business impact. Understanding Business Context: Industry and environmental factors; Common business vernacular; Business practices across two or more domains such as product, finance, marketing, sales, technology, business systems, and human resources and in-depth knowledge of related practices; Directly relevant business metrics and business areas. To evaluate proposed business cases for projects and initiatives. Translate business requirements into strategies, initiatives, and projects and aligns them to business strategy and objectives, and drives the execution of deliverables. Build and articulate the business case and return on investment and delivers work that has demonstrable value. Challenge business assumptions on topics related to one's domain expertise. Mentor the team members on new

Job Description DataVox is seeking a reliable and detail-oriented Data Entry Support Representative to assist with entering, updating, and maintaining company records. The ideal candidate should have basic computer skills, good organizational abilities, and a strong focus on accuracy. This role supports daily operations by ensuring information is properly recorded, organized, and readily accessible. Responsibilities Enter and update information in company databases and spreadsheets. Review data for accuracy and completeness. Organize and maintain electronic records and files. Assist with data verification and general administrative tasks. Identify and report missing or incorrect information. Maintain the confidentiality of company information. Qualifications Basic computer and typing skills. Strong attention to detail and organization. Good written communication skills. Ability to follow instructions and meet deadlines. Familiarity with Microsoft Office or Google Workspace is an advantage. DataVox is a technology solutions company that provides businesses with reliable IT services, cybersecurity, cloud solutions, network infrastructure, and communication systems. The company focuses on helping organizations improve productivity, streamline operations, and maintain secure, efficient technology environments. DataVox is committed to delivering innovative solutions, dependable customer support, and professional service while building long-term relationships with clients across va

In this position, you will play a crucial role in growing our staff augmentation division, PRPL & Friends, for data center, telecom, and critical infrastructure staffing. You will be primarily responsible for finding, placing, and retaining skilled field talent for a telecom client which builds and supports data center environments. A day in the life of this Recruiter includes high-volume sourcing, phone screening, credential verification, and keeping crews staffed on active job sites. You are the "face" of PRPL to the skilled trades marketplace and all new hires. You speak the language of the field: you know the difference between a cable tech and a foreman, and why a crew short two installers on Monday is an emergency. This role requires a solutions-oriented approach working with both field talent and our client to fill critical staffing needs quickly. We take an extraordinary amount of care in everything we do and seek to drive maximum value through EVERY interaction. Adaptability, resourcefulness, urgency, and attention to detail are foundational pillars of how we operate and serve our talent and customers. Role Snapshot Contract position to start. Hourly rate of pay DOE. Roles Frequently Recruited: ISP Data Technicians, Structured Cabling / Low Voltage Installers, Fiber Optic Technicians, Foremen, and Lead Technicians Industries: Data centers, telecommunications, utility, and critical infrastructure. *Utility, telecom, or infrastructure recruitment/staffing experienc

Headquarters: Remote-Friendly, United States About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic is building AI systems that will shape the trajectory of one of the most consequential technologies in human history. That work requires physical infrastructure at significant scale, and building that infrastructure the right way means being a real, long-term partner to the communities where we operate. We are looking for a Community Engagement Manager in Louisiana to join our Public Policy team and serve as Anthropic's on-the-ground presence in the communities where our data centers are sited, built, and operated. This is not a communications role or a government affairs role, though you will do elements of both. It is a relationship role: your job is to make Anthropic a trusted, visible, and valued neighbor, from the earliest stages of site selection through construction and long-term operations. You will be the connective tissue between Anthropic's Policy and Infrastructure teams and the local officials, community organizations, economic development partners, and residents who have a stake in what we build. You will surface concerns before they escalate, translate our tech

Headquarters: Remote About Carrot: Carrot is the leading global fertility and family care platform, built on intelligent care orchestration: the right clinical guidance, at the right moment, in the context of each member’s life. More than a thousand multinational employers, health plans, and health systems trust Carrot to support millions of members across 195 countries – from pre-pregnancy through menopause and major life moments in between. Carrot's comprehensive clinical program delivers industry-leading cost savings for plan sponsors and award-winning experiences and improved outcomes for millions of people worldwide. Carrot is widely regarded as a defining force in healthcare innovation as a recipient of several top-tier awards, including Fast Company's 'Most Innovative Companies' and CNBC's '100 Barrier Breaking Startups'. The company is regularly cited by leading global outlets — including The Economist, Bloomberg, The Wall Street Journal, NPR, ABC News, and Harvard Business Review — as a leading voice on digital health, the future of work, and family health. Learn more at get-carrot.com . The Opportunity Carrot is seeking a Sr. Manager, Data Engineering to lead our Business Intelligence data engineering function as it scales to meet, and anticipate, the needs of the organization and its clients. This is a senior player/coach role with a strong emphasis on strategic leadership, technical excellence, and organizational impact. You will lead and grow a high-impact team w