Forward Deployed Data Engineer

At ZoomInfo, we believe in accelerating careers by fostering an environment where innovation thrives. Our fast-paced culture encourages bold thinking and empowers you to produce exceptional work. Join a team that values collaboration, challenges the status quo, and celebrates every achievement. With cutting-edge tools at your disposal, you won’t just contribute—you’ll be a catalyst for change. The RoleAs a pivotal member of our Forward Deployed Engineering team, you will play a crucial role in shaping our operations. You will establish engagement protocols, define deliverables, create playbooks, and determine scalability. Our support structure includes dedicated teams in data, product, and infrastructure, and you will be the driving force to bring these elements together to create impactful solutions for our customers.Your work will involve direct collaboration with ZoomInfo's strategic accounts—large enterprises with intricate data requirements, particularly in sectors like financial services and insurance. By understanding their market challenges, you will craft and deliver tailored intelligence applications that integrate ZoomInfo’s extensive third-party data with the customer’s first-party data, ultimately driving significant business results.You will lead the engagement lifecycle, overseeing everything from initial discovery to deployment, and from executive presentations to production code. Collaborating closely with our data and product teams, you will leverage ZoomInfo’s comprehensive data assets—including company intelligence, contact data, intent signals, and specialized vertical datasets—to develop customized applications suited to each client's unique personas and workflows.With access to one of the world's most extensive go-to-market data foundations—featuring over 500 million professional profiles and more than 100 million company records—you will have the tools and relationships necessary to build transformative solutions that will set the standard for the future.What You’ll DoDevelop the FDE Playbook: Capture and document successful strategies, including onboarding processes, deployment patterns, integration frameworks, and success metrics. Your contributions will help evolve this role into a scalable model for additional strategic accounts and verticals, ultimately building a team.Lead Strategic Customer Engagements: Act as the primary technical liaison for assigned strategic accounts. Facilitate discovery sessions, define use cases, design solutions, build applications, and oversee their deployment within the customer environment.

Join Our TeamWe invite you to become a vital part of Evolv as a Senior Data Infrastructure Engineer within our Machine Learning & Sensors organization. This pivotal role entails the design, construction, and maintenance of robust, secure, and scalable data pipelines that drive our AI/ML research and production systems. You will take charge of the complete data lifecycle—from ingestion across thousands to millions of edge devices, through cloud processing, to a centralized data factory that supports model training, evaluation, and ongoing enhancement.Data is at the core of our mission to revolutionize AI-based weapon detection systems. Your expertise will ensure seamless data flow across various geographies, devices, and cloud systems, while adhering to stringent standards for quality, privacy, security, and scalability. This position is perfect for someone who is passionate about the intersection of distributed systems, cloud pipelines, and ML-driven data requirements.Success in the Role: Your First YearIn the first 30 days:Gain an in-depth understanding of our existing edge-to-cloud data pipelines and deployment environments.Evaluate current data ingestion processes, governance frameworks, and cloud infrastructure.Identify challenges related to data reliability, quality, and operational scalability.Establish rapport with AI/ML, data science, field operations, and cloud engineering teams.Design and prototype both cloud and edge data processing pipelines.Within the first three months:Implement enhancements to critical ingestion, validation, and processing pipelines.Deploy scalable data pipelines using AWS components such as S3, EC2, Lambda, Glue, Step Functions, and SageMaker integrations.Develop automated validation workflows to identify data corruption, missing metadata, or malformed data.Create automated model evaluation, training, and improvement pipelines to accelerate experimentation.Collaborate with field operations to enhance data reliability, observability, and coverage.By the end of the first year:Oversee the entire lifecycle of mission-critical data pipelines that support AI/ML research and production.Architect advanced edge-to-cloud data systems capable of scaling across millions of devices.Establish and enforce data governance frameworks, including retention, access control, privacy, and lineage.Enable ML teams to quickly conduct experiments with high-quality, discoverable, versioned datasets.

At ZoomInfo, we accelerate careers by fostering a fast-paced, innovative environment where you can thrive. Our team is dedicated to driving impactful work, supporting one another, and celebrating our successes together. With the tools and culture to empower your ambitions, you will not just contribute; you will be a catalyst for change.We are seeking a talented Software Engineer to join our Web Data team. In this pivotal role, you will be responsible for designing, building, and maintaining large-scale data pipelines while enhancing front-end experiences that reveal valuable data insights. Collaborating with teams based in the US and Israel, your strong communication skills and collaborative spirit will be essential.

At ZoomInfo, we propel your career forward. Our fast-paced, bold-thinking environment empowers you to achieve your best work. Join a team that genuinely cares, challenges each other, and celebrates success. With tools designed to enhance your impact and a culture that supports your ambition, you won't just contribute; you'll drive results—swiftly.We are seeking a Senior Software Engineer to become a vital part of our Contributory Network team within the Data Acquisition division, a key initiative at ZoomInfo.The Contributory Network develops a platform that ingests, transforms, and processes first-party data contributed by thousands of customers via CRM, email, and recording provider integrations. This robust data fuels an array of intelligence products—from competitive benchmarking and insights into buyer committees to predictive market timing—that are uniquely achievable only through our platform.This position requires a proactive driver. We are looking for someone who takes ownership, navigates ambiguity, removes obstacles for themselves and others, and persistently advances projects. You won’t wait for complete specifications or clarity; you will pave the way, make decisive choices, and deliver results. If you thrive on tackling challenging problems with the autonomy to resolve them, this is the ideal opportunity for you.

At ZoomInfo, we believe in accelerating careers. Our fast-paced environment encourages bold thinking and empowers you to achieve your best work. Join a team that values collaboration, challenges each other, and celebrates achievements. With state-of-the-art tools that enhance your impact and a culture that supports your ambitions, you will not just contribute; you will drive innovation swiftly.About the Role:We are on the lookout for a skilled Senior Software Engineer to bolster our dynamic data team. In this pivotal role, you will spearhead the development of our technographic data services, creating top-tier data pipelines and systems designed to handle billions of signals and data points. This is a unique opportunity to tackle complex challenges and significantly influence our commitment to elevating technographics as a premier offering.What You'll Do:Create and refine extensive data pipelines to extract and process signals from various sources, including web and job postings.Design and build data architectures and storage solutions to effectively manage vast amounts of data.Work closely with data scientists to support and integrate machine learning models within data workflows.Continuously enhance the quality, performance, and scalability of our technographic data platform.Lead technical strategy and outline the roadmap for our data processing infrastructure.

Join our dynamic team as a Retail Data Collector, where you will play a crucial role in gathering and analyzing retail data. This position is perfect for individuals who are detail-oriented, organized, and passionate about driving insights in the retail sector. Your responsibilities will include conducting in-store visits, collecting data on product placement, pricing, and promotions, and providing actionable insights to enhance our clients' performance in the market.

Join Crossmark as a Retail Data Collector, where your role will be essential in gathering valuable data for retail analysis. As a part of our dynamic team, you will be responsible for collecting, analyzing, and reporting data that helps drive strategic decisions within leading retail environments.

Join our dynamic team as a Data Collection Associate in Waltham, Massachusetts. In this part-time role, you will be responsible for gathering and analyzing data to support our initiatives. This is an excellent opportunity for individuals looking to kickstart their career in data management and analysis.

Join our dynamic team as a Retail Data Collector at Crossmark Inc. in Waltham, MA. In this role, you will be instrumental in gathering and analyzing retail data to help improve in-store experiences and optimize product placements. This position offers a unique opportunity to work with leading brands and contribute to impactful market research.

Join our dynamic team at Crossmark as a Retail Data Analyst in Waltham! In this role, you will leverage your analytical skills to transform retail data into actionable insights that drive business decisions. You will work closely with cross-functional teams to analyze market trends, customer behavior, and sales data to enhance our retail strategies.

Join our team as a Part-Time Retail Data Collection Associate, where you will play a crucial role in gathering and analyzing retail data to help enhance our client’s business strategies. This position is ideal for detail-oriented individuals who thrive in a dynamic retail environment.

Join our dynamic team as a Part-Time Retail Data Collection Associate where you'll play a vital role in gathering and analyzing retail data to help enhance business strategies. This position offers a chance to work closely with retailers, utilizing advanced tools to ensure accurate data collection. Your insights will directly contribute to improving market strategies and fostering growth.

Join Crossmark as a Part-Time Retail Data Collection Associate and play a critical role in gathering essential data that drives business decisions. As a member of our team, you will be responsible for collecting data in retail environments, ensuring accuracy and adherence to our standards. This position is perfect for individuals looking to contribute to meaningful projects while enjoying flexible hours.

Join our team as a Part-Time Retail Data Collection Associate where you will play a crucial role in gathering valuable insights that drive our retail strategies. As a key member of our team, you will collect data from various retail locations, ensuring that our clients have access to accurate and timely information. This is an excellent opportunity for individuals interested in market research and data collection in the retail sector.

Role Overview Evolv Technology seeks a Salesforce IT Data Analyst to strengthen the data foundation that supports our mission: improving safety in public spaces through advanced security technology. Based in Waltham, MA, this role focuses on the deep data layer of our Salesforce ecosystem, an area ready for dedicated attention and improvement. What You Will Do Partner with three Salesforce administrators who oversee daily operations, while taking responsibility for specialized data domains. Design and refine pricebook architecture to support evolving business needs. Manage data integrations between Salesforce, Snowflake data warehouses, and other systems to ensure reliability and consistency. Develop and maintain reports that transform raw data into clear, actionable insights for business teams. Use AI-driven analytics to automate manual processes and surface insights quickly. Prioritize data queries and problem-solving, ensuring data flows smoothly across platforms. About Evolv Technology Our data infrastructure is central to operations, sales, and growth. The analyst in this position will play a key role in optimizing how data powers decisions and scales our impact. Evolv values flexibility in tool selection and encourages creative approaches to solving complex data challenges.

At ZoomInfo, we believe in accelerating careers through innovation and collaboration. We operate with agility, challenge conventional thinking, and empower you to produce exceptional work. You will join a team that values support, challenges norms, and celebrates collective achievements. With the right tools and a culture that nurtures your ambitions, you will not just contribute; you will drive impactful change swiftly.The Opportunity:ZoomInfo has established the most advanced Go-To-Market (GTM) data acquisition infrastructure in the industry. We are now applying that same meticulous approach to the field of context engineering—an emerging discipline that determines whether AI systems yield transformative value or merely incremental enhancements.This role is pivotal in architecting the context layer that powers our AI intelligence across products such as Copilot, GTM Studio, and MarketingOS. You will revolutionize how ZoomInfo's agentic workflows access, compress, and deliver precise information at critical moments. Your work will have a profound impact across the organization: every AI interaction, every intelligent recommendation, and every autonomous agent action will rely on the context infrastructure you develop.As we transition to an AI-first product approach across the company, the context pipelines are still in their infancy, offering a unique opportunity to establish architectural standards and platform practices that will enhance value for multiple product teams in the coming years.What You'll Do:Design Context Acquisition Pipelines: You will create and optimize the methods by which ZoomInfo retrieves, transforms, and delivers context from our semantic data layer, memory systems, and various data sources. Your focus will be on balancing retrieval quality with latency and cost, utilizing hybrid search strategies, intelligent caching, and context compression techniques that maintain information density while adhering to token budgets.Manage the Context Layer Platform: You will build infrastructure that serves multiple product teams—Copilot, GTM Studio, MarketingOS—as internal clients. You will set API standards, enhance developer experiences, and establish integration patterns that expedite feature delivery. You will maintain a delicate balance between providing flexible building blocks and crafting opinionated solutions that integrate best practices.Implement Quality Through Measurement: You will develop evaluation frameworks utilizing RAGAS metrics and custom benchmarks. You will monitor retrieval accuracy, context relevance, hallucination rates, and system performance in production. You will translate quality signals into architectural enhancements, collaborating closely with machine learning engineers.

Join Our Team!Become a pivotal member of the Evolv Machine Learning & Sensors team as a Senior Data Scientist. In this role, you will delve into sensor data, explore feature spaces, and ensure data quality that fuels our cutting-edge AI/ML systems. This hands-on position focuses on representation analysis, extracting exploratory data insights, and implementing data-centric enhancements that significantly elevate model accuracy, robustness, and generalization. You will navigate through classical ML and deep learning pipelines to uncover blind spots, diagnose data challenges, and shape effective data curation and collection strategies.Your Path to Success: Key Outcomes in the First YearFirst 30 Days:Gain a comprehensive understanding of Evolv’s sensor ecosystem, datasets, and ML pipelines.Analyze dataset structure, labeling processes, and existing exploratory data analyses.Conduct initial UMAP/PCA/t-SNE analyses to visualize data distributions and detect anomalies.Spot opportunities to enhance data quality, labeling consistency, and dataset coverage.First 90 Days:Engage in deep representation analysis across sensor, time-series, and feature data.Evaluate classical ML and deep learning models by correlating model errors with data quality issues.Establish data quality metrics and initial dataset acceptance criteria.Collaborate with data collection teams to inform targeted data acquisition and relabeling efforts.Mine existing field data to recognize patterns and derive actionable insights.Devise methodologies to enhance data quality, transforming noisy or unverified data into clean, validated datasets.End of Year Goals:Own data-driven insights that lead to measurable improvements in ML model performance.Establish continuous monitoring for data drift, blind spots, and label quality.Offer strategic direction for future data collection, annotation, and curation.Create automated tools and dashboards for data quality reporting and representation analysis.Your Daily ResponsibilitiesData Understanding & Representation Analysis:Analyze high-dimensional sensor and feature data utilizing UMAP, t-SNE, PCA, and similar techniques.Identify clusters, outliers, distribution gaps, and blind spots within various classes and environments.Diagnose dataset shifts, domain mismatches, sparsity, and representation collapse.Model-Aware Data Analysis:Conduct data analyses that align with both classical ML models (XGBoost, SVR, k-NN, tree-based models) and deep learning frameworks (CNNs, Transformers).Investigate embeddings, confusion matrices, and failure cases to connect model issues back to data causes.Join Us at Evolv TechnologyAt Evolv Technology, we are dedicated to revolutionizing the way people experience spaces through intelligent sensor technology and advanced machine learning. We foster a collaborative environment where creativity and innovation thrive. Join us as we push the boundaries of technology to create safer and more efficient environments.

As a Senior Manager of Clinical Data Management at Deciphera Pharmaceuticals, you will lead and oversee the clinical data management function, ensuring high-quality data collection and management practices. You will play a pivotal role in supporting clinical trials through the oversight of data management processes, and collaborate with cross-functional teams to ensure timely and accurate delivery of data for analysis.

Join our dynamic team as a Part-Time Retail Data Collection Associate in Waltham! This role involves collecting valuable data that supports market insights and helps shape our retail strategies. You will engage with various retail environments, ensuring data accuracy and reporting findings to our management team.As a vital part of our team, you will have the opportunity to work flexible hours that can fit around your schedule, making this an ideal position for those seeking part-time employment.

Join the Crossmark team as a Part-Time Retail Data Collection Associate! In this engaging role, you will be responsible for gathering and analyzing retail data to help enhance the shopping experience for customers. Your insights will play a vital role in shaping retail strategies and improving product offerings. This position offers flexible hours, making it perfect for those seeking part-time work in a dynamic environment.