Solutions Data Engineer

Veeam is recognized as the Data and AI Trust Company, dedicated to empowering organizations to gain a comprehensive understanding of their data and AI, ensuring they are secure and resilient to facilitate the safe scaling of AI technologies. As a frontrunner in data resilience and security posture management, Veeam is expertly positioned at the intersection of identity, data, security, and AI risk management. With its headquarters in Seattle and a presence in over 30 countries, Veeam safeguards the operations of more than 550,000 customers globally, who rely on us to keep their businesses thriving. Join us in our fearless journey forward, as we grow, learn, and make a significant impact for some of the most prominent brands in the world.About the RoleWe are seeking a talented Analytics Engineer to become a vital part of our internal Data Management team, enhancing data-driven decision-making throughout the organization. In this pivotal role, you will be responsible for designing and maintaining scalable data models, pipelines, and transformation processes that are essential for analytics, reporting, and data science initiatives. You will work in close collaboration with analysts, data scientists, and engineering teams to ensure the data is reliable, efficient, and structured to support valuable business insights and strategic objectives.What You’ll DoDesign scalable and dependable data marts and transformation processes to meet analytics and reporting requirements.Collaborate with data analysts, data scientists, and business stakeholders to comprehend data requirements and convert them into effective data solutions.Develop optimized data models and schemas that facilitate efficient storage, retrieval, and analysis of large datasets.Create ETL and ELT pipelines that transform raw data from diverse sources into structured datasets for analytics and reporting.Partner with data, architecture, and DevOps teams to ensure the scalability, performance, and reliability of data systems.Monitor data pipelines and systems to troubleshoot issues and identify areas for enhancement.Document data architectures, flows, and processes to promote transparency, collaboration, and maintainability.

Kepler Group is at the forefront of engineered marketing, crafting tailored messages and advertisements that foster meaningful connections between brands and consumers. We operate as our clients’ agency of record, serving as an in-house team, or a blend of both, leveraging data and technology across all paid digital media and data-driven CRM channels.We take pride in being recognized as a premier workplace, having been awarded by AdAge as one of the Best Places to Work in 2022. This accolade reflects our commitment to investing in our team and enhancing our client relationships.Transparency is key; our employees receive regular updates on company performance, financials, and our strategies in overcoming challenges.We are experiencing significant growth, presenting unparalleled opportunities for professional advancement and the chance to influence our company’s direction.Our environment is dynamic and enjoyable, allowing you to collaborate with and learn from some of the brightest minds in the industry.Position Overview: As a Senior Analyst in Data Strategy & Analytics, you will be instrumental in guaranteeing the delivery of high-quality data, refining reporting frameworks, and supporting comprehensive analyses that guide internal decision-making. Your role will build upon strong data foundations while introducing advanced analytical methodologies, all while emphasizing scalable execution and operational excellence.You will collaborate closely with internal teams and cross-functional partners to optimize data processes, support performance evaluations, and enable data-driven decision-making across various accounts.

About TreviPay TreviPay specializes in B2B payments and invoicing, supporting thousands of sellers and buyers worldwide. With more than 40 years in the industry, TreviPay serves clients in manufacturing, retail, and transportation. The company integrates with major eCommerce and ERP platforms and offers flexible trade credit solutions to help businesses access new markets and automate accounts receivable. Role Overview TreviPay is hiring a remote Business Intelligence & Analytics Engineer based in San Jose, Costa Rica. This position bridges data engineering and analytics, shaping raw data into reliable, scalable datasets. The engineer will deliver analytics solutions using a modern BI visualization platform and a cloud data platform. Key Responsibilities Transform raw data into trusted, scalable datasets for analytics consumption Develop and deliver analytics solutions through BI visualization tools Integrate with cloud data platforms (Snowflake experience preferred) Enable embedded analytics and self-service data features for business users Model semantic layers to support reporting and analytics needs Required Skills and Experience Strong expertise in SQL and PL-SQL Experience with semantic layer modeling Background in BI development and data platform integration Familiarity with Snowflake or similar cloud data platforms is preferred Proven ability to enable embedded analytics and self-service data tools Work Environment TreviPay fosters a collaborative and entrepreneurial culture, encouraging employees to take ownership and tackle meaningful challenges every day.

About Archer Archer is an aerospace company based in San Jose, California. The team designs, manufactures, and operates all-electric vertical takeoff and landing (eVTOL) aircraft with a focus on sustainable air mobility. Archer’s aircraft carry four passengers and are engineered to reduce noise pollution. The company values diversity and believes an equitable, inclusive workplace is essential for innovation. Archer encourages team members to bring their unique perspectives and thrive together. Role Overview The People Analytics Manager will join the People Analytics and Systems team, reporting to the Director of People Analytics and Systems. This role acts as a strategic insights partner, helping the People Team make informed, data-driven decisions. What You Will Do Work with a global strategy team to deliver business intelligence for Human Resources and business partners. Help transform the People Team into a data-focused, insight-driven group. Support stakeholders in workforce planning and organizational growth through data insights. Develop clear, visually engaging reports and dashboards using quantitative analysis skills. Improve data quality from People systems across the reporting pipeline, collaborating with teams such as Finance and People Operations. Contribute to People-related projects and handle ad hoc requests as needed. Requirements 7-10 years of experience in People Analytics or a related field. Demonstrated skill in turning data analysis into actionable insights for People leaders. Strong organizational skills, attention to detail, and a commitment to confidentiality and integrity. Preferred Qualifications Background in HR areas such as compensation, recruitment, benefits, or compliance. Experience with Workday, Greenhouse, or other People Systems. Advanced skills in statistical analysis. Knowledge of SQL, R, or Python. Location This position is based in San Jose, California, United States.

Join Accellor as a Senior Manager in Business Intelligence & Analytics, where you will lead a team of data professionals to drive strategic insights and data-driven decision-making. Your expertise in analytics and business intelligence will not only enhance our operational efficiency but also shape our strategic direction. You will collaborate with cross-functional teams to develop innovative solutions that meet the needs of our clients and stakeholders.

AppZen stands at the forefront of autonomous spend-to-pay software solutions. Our innovative technology harnesses patented artificial intelligence to efficiently process vast amounts of information from numerous data sources. This enables organizations to gain profound insights into enterprise spending, empowering them to make informed business decisions at scale. By seamlessly integrating with existing accounts payable, expense, and card workflows, AppZen interprets and acts on your unique spending profile in real time, resulting in expedited processing times and minimized instances of fraud or unnecessary expenditure. Our solutions are trusted by global enterprises, including a significant portion of the Fortune 500, to transform manual finance processes, enhancing the agility and responsiveness of their operations. Discover more about us at www.appzen.com.We are seeking a proactive and analytical GTM Strategy & Analytics Manager to spearhead the modeling, forecasting, and analytics essential for our go-to-market strategy. In this senior role, you will work at the nexus of Sales Operations, Strategic Finance, and GTM Planning. Collaborating closely with Sales, Finance, and Executive leadership, you will develop sophisticated models, craft strategic revenue forecasts, and deliver actionable insights that will influence business investments, execution, and growth.If you have a passion for transforming data into strategic initiatives and translating those strategies into tangible actions, we encourage you to apply.

Join FloQast as a Senior Staff Engineer, Data, and become an integral part of our technical leadership team. In this role, you will spearhead the design, implementation, and continuous enhancement of FloQast’s core data platform. You will set the standards for data ingestion, governance, storage, processing, and access that empower our product and analytics systems. Your contributions will establish a robust, scalable, and secure data foundation that enables our engineering, product, and business operations teams to thrive.Note: Visa sponsorship is not available at this time.

Join Us at BetterHelpAt BetterHelp, we aim to dismantle traditional barriers to therapy, making mental health care accessible to everyone. Since our inception in 2013, we have become the world’s largest online therapy platform, connecting individuals with affordable and convenient mental health services globally. Our extensive network of over 30,000 licensed therapists has empowered millions to take charge of their mental health and transform their lives. As the demand for mental health services grows, BetterHelp remains steadfast in its commitment to being part of the solution.As a Data Analyst at BetterHelp, you'll collaborate with a diverse team of clinicians, engineers, product specialists, creatives, marketers, and business leaders who are passionate about enhancing access to therapy. We prioritize our employees' mental health just as much as our mission. By investing in our team's well-being and professional growth, we understand that personal and organizational success go hand-in-hand. At BetterHelp, you have the opportunity to forge your own path, make an immediate impact, and face daily challenges, all supported by a nurturing community.

Join Sonsoft Inc. as a Big Data Engineer specializing in Hadoop and Spark. In this role, you will leverage your expertise in big data technologies to design, develop, and optimize data pipelines that support our innovative analytics solutions. You will work closely with cross-functional teams to transform raw data into actionable insights, driving key business decisions.

Join Our Team as a Data Engineer!Location: San Jose, CAContract Duration: 3+ months (with potential for extension)We are seeking a talented Data Engineer with extensive experience in Big Data technologies. The ideal candidate will have over 8 years of proficiency in Java, Python, and Scala, along with hands-on experience in Spark and Machine Learning. You will play a crucial role in data mining and analysis, transforming unstructured data into actionable insights.Key Responsibilities:Gather and process large-scale raw data through scripting, web scraping, API calls, and SQL queries.Collaborate with the engineering team to design and implement algorithms for data processing.Convert unstructured data into formats suitable for analysis and conduct thorough analyses.Support business decisions with ad hoc analyses as necessary.Extract and manipulate data from various relational databases using quantitative and visualization tools.Guide the selection of appropriate modeling techniques to develop robust predictive models.Establish processes for validating and updating predictive models regularly.Analyze healthcare service utilization patterns to model outcomes and scenarios for innovative healthcare delivery models.Work closely with internal teams to enhance the applicability of predictive models within core software products.Conduct statistical analyses to prioritize initiatives that maximize success.Identify opportunities for improvement and communicate actionable plans.Perform strategic data analyses to meet business objectives.Explore data to uncover opportunities for enhanced business performance.Develop a deep understanding of business processes and strategies to provide insightful analysis to management.

Location: San Jose, CA or New York CityRemote: Considered; travel requiredAbout Tessera Labs: Tessera Labs is at the forefront of transforming how enterprises implement and leverage Artificial Intelligence. Supported by Foundation Capital and driven by a top-tier founding team, we develop multi-agent AI systems that streamline complex business workflows across major platforms such as SAP, Salesforce, Workday, Snowflake, MuleSoft, and beyond.Our Mission: Our goal is to deliver genuine AI automation to enterprises with speed, precision, and measurable outcomes. We prioritize agility, take ownership, and innovate at the cutting edge of applied AI.Why This Role is Essential: This position empowers Forward Deployment Engineers (FDEs) to facilitate swift and secure AI-driven ERP modernization. You will play a vital role in enhancing migration speed, ensuring operational continuity, and enabling data-informed decision-making. Your work will lay the groundwork for enterprise-scale AI and analytical solutions in complex environments, positioning you at the forefront of enterprise AI and ERP transformation.Role Overview: As a Data Engineer, you will collaborate closely with Forward Deployment Engineers (FDEs) to drive rapid ERP modernization and AI transformation for our enterprise clients. Your primary focus will be on data harmonization, cross-system integration, and developing data pipelines, ensuring that AI solutions and enterprise workflows are supported by high-quality, reliable, and well-structured data.This role requires expertise in ETL processes, relational schema modeling, data mapping, data cleaning, and pipeline logic for structured/tabular data. A lightweight MLOps component may be involved, focusing on structured datasets and potentially requiring distributed processing with PySpark or ML data engineering techniques. Note that there are no downstream responsibilities concerning model training, serving, or deployment.Candidates should bring a deeper understanding of ERP-centric data compared to typical ML data engineering roles, along with robust generalist engineering skills to construct scalable, production-grade pipelines. Ideal candidates will have expertise in SAP data coupled with modern data engineering or machine learning enablement experience; strengths in one area with the willingness to learn the other are acceptable.Key Responsibilities:Data Harmonization: Integrate, reconcile, and standardize structured data across ERP, CRM, finance, and analytical systems.

Archer Aviation is an innovative aerospace company located in San Jose, California, dedicated to revolutionizing sustainable air mobility. We are at the forefront of designing and manufacturing an all-electric vertical takeoff and landing aircraft that can transport four passengers while ensuring minimal noise pollution.We set ambitious goals and tackle complex challenges, believing that a diverse team fosters smarter solutions and drives success. Our commitment to creating an equitable and inclusive workplace allows us to celebrate the unique contributions of every team member.About the RoleAs a Design Data Integrity Engineer, your primary responsibility will be to ensure the precision, completeness, and compliance of our engineering drawings and models. You will play a critical role as the quality gate for design data, confirming that all work adheres to drafting standards, dimensioning practices, and configuration management requirements prior to release. Your efforts will directly facilitate the production of error-free, manufacturable, and compliant engineering designs.What You'll DoReview and verify engineering drawings, models, and documentation against company, industry, and regulatory standards.Ensure compliance with ASME Y14.5 Geometric Dimensioning and Tolerancing (GD&T) and ASME Y14 drafting standards.Identify and document errors, inconsistencies, and missing information within design data.Provide constructive feedback and recommendations for corrections and enhancements to design engineers.Validate the accuracy of CAD models and their associated metadata before release.Confirm that drawings accurately reflect design intent while supporting manufacturability and producibility.Collaborate with various design engineering teams across multiple commodity types, ensuring adherence to design standards and configuration management processes.Support drawing release processes within PLM systems such as Teamcenter, Windchill, or Enovia.Coordinate with the Configuration Management team regarding drawing/model issues that may affect change notices or configuration control.Participate in tolerance stack-up and interface checks to ensure fit, form, and function integrity.Contribute to process enhancements that improve drawing quality and release efficiency.

Job Title: Snowflake Developer / Data Engineer (1–3 Years Experience)Employment Type: ContractWork Authorization: US Citizen / Green Card / H4 EADLocation: Open to relocate anywhere within the United StatesJob Description:We are seeking a passionate Snowflake Developer / Data Engineer with 1-3 years of dedicated experience in data engineering and cloud-based data platforms. The ideal candidate will possess hands-on experience with Snowflake, SQL, and various data integration tools to enhance our data warehousing and analytics initiatives.Key Responsibilities:Design, develop, and maintain data pipelines and solutions using Snowflake.Craft efficient SQL queries for data extraction, transformation, and loading (ETL/ELT) processes.Work with structured and semi-structured data in the Snowflake environment.Assist with data warehousing and migration projects.Collaborate with data analysts, developers, and business stakeholders to identify and fulfill data requirements.Optimize data performance, query efficiency, and storage utilization in Snowflake.Support data validation, testing, and troubleshooting of data pipelines.Engage with cloud platforms such as AWS, Azure, or GCP (basic knowledge preferred).

Join Our Team as a Data Engineer!We are seeking a driven Data Engineer with 1–4 years of hands-on experience who is enthusiastic about data engineering and cloud-based data solutions. The successful candidate will demonstrate proficiency in Snowflake, SQL, and various data integration tools to enhance our data warehousing and analytics projects.Employment Type: W2Work Authorization: US Citizen, Green Card Holder, or H4 EADRelocation: Open to relocation anywhere within the United States

Role overview The Staff Data Center Operations Engineer at Zscaler plays a key role in supporting the performance and reliability of the company’s data center operations in San Jose, California. This position centers on maintaining and improving infrastructure while working closely with teams throughout the organization. The goal is to help deliver consistent, high-quality service across Zscaler’s global network. What you will do Maintain and enhance data center infrastructure to promote reliability and efficiency. Collaborate with cross-functional teams to address operational needs and solve challenges as they arise. Apply technical expertise to ensure that infrastructure remains scalable and dependable as demands grow. Location This position is based in San Jose, California, USA.

Join Our Team as a Data EngineerAt Comtech LLC, we are seeking a seasoned Data Engineer with expertise in Scala, Spark, and Java to enhance our big data solutions. If you have a passion for data mining, analysis, and machine learning, we want to hear from you!Key Responsibilities:Collect and process large datasets using various methods including scripting, web scraping, and API calls.Collaborate with engineering teams to build and integrate algorithms for data processing.Transform unstructured data into analyzable formats and conduct thorough analyses.Support strategic business decisions by performing ad-hoc analyses as required.Extract data from relational databases and utilize statistical and visualization tools for data exploration.Advise on modeling techniques to develop robust predictive models following rigorous statistical methodologies.Establish processes for validating and updating predictive models regularly.Analyze health service utilization patterns and model outcomes for innovative healthcare delivery approaches.Work with analytics and business strategy teams to enhance the efficiency and applicability of predictive models in core software products.Conduct statistical analyses to prioritize initiatives for maximizing success.Identify improvement opportunities and communicate actionable plans.Perform strategic data analyses to meet business objectives.Explore data for insights that can lead to improved business performance.Develop a deep understanding of business processes and goals to provide management with actionable insights.

Join Comtech LLC as a Senior Data Engineer, where you will play a pivotal role in transforming raw data into actionable insights. We are seeking a highly skilled professional with extensive experience in Big Data technologies and programming languages.Key Responsibilities:Collect and process large datasets using various techniques such as scripting, web scraping, API calls, and SQL querying.Collaborate with engineering teams to design and implement algorithms for data integration.Transform unstructured data into structured formats for analysis and perform detailed data analysis.Support strategic business decisions through ad hoc data analysis.Extract and manipulate data from relational databases while utilizing statistical and visualization tools.Guide the selection of modeling techniques to create robust predictive models using stringent statistical methods.Establish processes for the validation and updating of predictive models.Analyze healthcare utilization trends and model potential outcomes for innovative healthcare solutions.Work in tandem with business and analytics partners to enhance the efficiency and applicability of predictive models within our software offerings.Conduct statistical analyses to prioritize initiatives that maximize success.Identify opportunities for improvement and communicate actionable plans.Perform strategic research to support business objectives.Explore data to identify opportunities for enhancing business performance.Develop a thorough understanding of business processes to provide meaningful analysis to management.Engage in discussions to clarify business needs and necessary analyses.

Join our innovative team at dstaff as a Data Warehouse Architect. This is an exciting opportunity to take your career to the next level while working remotely from anywhere in the U.S. You will play a pivotal role in designing and implementing robust data warehousing solutions that drive business insights and decisions.

Join Sonsoft Inc. as a Big Data Engineer specializing in Hadoop and Spark technologies. In this dynamic role, you will engage with large data sets, develop scalable data processing models, and contribute to innovative data solutions that drive business value.