Senior Data Analytics Engineer - Remote Opportunity

Role Overview Veeam Software is hiring a Senior Systems Engineer for a fully remote position based in Washington, USA. This role focuses on designing and implementing solutions that strengthen our software products. The Senior Systems Engineer works closely with teams across the company to support engineering quality and reliability. What You Will Do Design and implement technical solutions that improve software capabilities Collaborate with cross-functional teams to deliver high-quality engineering outcomes Contribute to maintaining and advancing engineering standards across projects

Role overview Fueled Careers is looking for a Senior Systems Engineer to join the team in a fully remote capacity. This position requires significant experience in systems engineering to create, implement, and enhance systems that adapt to changing client needs. What you will do Design and build systems tailored to client requirements Optimize current infrastructure to improve both performance and reliability Collaborate with cross-functional teams on high-priority projects Apply technical expertise to strengthen system outcomes Who will thrive Engineers with a proven background in systems engineering who enjoy making a direct impact from a remote setting will do well in this role. Success depends on strong collaboration skills and a focus on delivering practical, effective solutions.

Role Overview Aetos Systems, Inc. is seeking a Senior Communication Systems Engineer focused on Data Transmission Systems. This position is based in Merritt Island, Florida. What You Will Do Design, develop, and implement communication systems that support advanced data transmission. Apply technical expertise to projects that drive improvements in communication technology. Contribute to initiatives that impact the future of data transmission capabilities. Location Merritt Island, Florida, United States

jobgether is looking for a Senior Data Engineer based in Illinois to join the team in a remote capacity. This position centers on building and maintaining data solutions that support business decision-making. Role overview The Senior Data Engineer will design and implement data systems to ensure information remains accurate and accessible. Working closely with colleagues from different departments, this role focuses on optimizing data pipelines and supporting reliable data flows across platforms. Key responsibilities Design and implement data architectures to support analytics and reporting Optimize and maintain data pipelines for efficiency and reliability Collaborate with cross-functional teams to support business needs Help shape data strategy and improve analytical tools and processes Location This is a remote role based in Illinois.

Role overview jobgether is looking for a Senior Data Engineer to develop and maintain the data infrastructure that supports company-wide decisions. This remote position is based in Colorado. What you will do Design, build, and maintain data pipelines and architecture Ensure reliable data flow and storage to support data-driven processes Work with various data technologies to improve data integrity and accessibility Collaborate with other teams to enhance and scale the data infrastructure Requirements Background with modern data engineering tools and frameworks Ability to create systems that keep data accurate, consistent, and available Strong problem-solving skills and attention to detail Interest in supporting a data-driven culture This role offers the chance to shape how data supports growth and decision-making at jobgether.

Jobgether is seeking a Senior Data Engineer to join the team remotely from Arizona. This position centers on designing, building, and maintaining data pipelines and systems that support the company’s decision-making. Role overview The Senior Data Engineer will focus on developing and supporting the infrastructure needed for data-driven projects. The work directly supports business growth and helps the organization use data more effectively. What you will do Design and build data pipelines to support analytics and reporting Maintain and optimize data systems for reliability and performance Contribute to a data-driven culture by enabling access to high-quality information Location This is a remote position based in Arizona.

Role overview Boulevard seeks a Senior Data Engineer to strengthen and evolve its data infrastructure. This position is fully remote and open to candidates located anywhere in the United States. What you will do Design, implement, and maintain data pipelines for analytics and reporting Optimize data workflows to boost efficiency and reliability Safeguard the integrity and quality of data systems Collaborate with teams across the company to understand data needs and deliver solutions Collaboration This role involves working with colleagues from various departments. Responsibilities include gathering requirements, sharing technical knowledge, and contributing to projects that align with company objectives.

Join Socure as a Senior Data Engineer and play a pivotal role in shaping our data-driven initiatives. In this fully remote position, you will leverage your expertise in data engineering to enhance our systems and processes, ensuring robust data management and analysis. Collaborate with cross-functional teams to develop cutting-edge solutions that drive our business objectives.

Join Machinify, a pioneering healthcare intelligence firm that excels in delivering exceptional value, transparency, and efficiency across the payment continuum for health plans nationwide. With over 85 health plans leveraging our expertise—including many of the top 20—and representing more than 270 million lives, we offer a fully configurable, AI-driven platform backed by top-tier knowledge. Our mission is to redefine possibilities within the healthcare industry, providing innovative solutions that enhance financial outcomes and reduce costs.As a Senior Data Engineer, your role will be fundamental in transforming raw external data into reliable, impactful datasets that inform payment, product, and operational decisions. You will collaborate closely with product managers, data scientists, subject matter experts, engineers, and customer teams to develop, scale, and optimize production pipelines, ensuring that data is accurate, observable, and actionable.Additionally, you will be instrumental in onboarding new customers by integrating their raw data into our internal models. Your data pipelines will empower the company’s machine learning models, dashboards, and core product experiences. If you thrive on managing end-to-end workflows, establishing data standards, and making a significant impact in a dynamic environment, this is the role for you.

To ensure a safe application process, we advise all candidates to remain vigilant during their job search. Quanata will only communicate via email from the domain quanata.com. Any communication from other domains should be disregarded due to potential security risks.About UsAt Quanata, we are dedicated to revolutionizing the insurance landscape through context-driven solutions. Our team, composed of passionate professionals, thrives on innovation in technology, digital products, and branding. We combine top-tier talent from Silicon Valley with the steadfast support of our esteemed partner, State Farm.Discover more about our mission and initiatives at quanata.com Our Team Our world-class team includes data scientists, actuaries, engineers, designers, and marketers, all from premier companies globally. Together, we are crafting the future of context-based insurance solutions and experiences, recognizing that our success is rooted in our talented workforce.The RoleWe are seeking a Senior Data Engineer to enhance our team’s ability to deliver data science services and streaming data pipelines. In this role, you will develop data pipelines that consolidate information from various sources to assess insured risks, support data science models, and facilitate access to vital datasets for both our business and partners.Your Day-to-Day ResponsibilitiesDesign and implement robust data pipelines that integrate data from various sources to facilitate risk assessment and business intelligence.Develop streaming data pipelines utilizing Kafka and AWS services to support real-time data processing and informed decision-making.Create and manage data services that provide curated datasets to internal teams and external partners through APIs and scheduled deliveries.Enhance data science workflows by establishing infrastructure for model training, feature engineering, and production inference.Implement data quality frameworks, including validation, monitoring, and alerting, to maintain the integrity of our data assets.

Quanata will only contact candidates through email addresses ending with quanata.com. Disregard any other communications, as they may be fraudulent. Quanata develops context-based insurance solutions by combining technology, digital products, and brand strategy. The team draws on experience from Silicon Valley and benefits from State Farm’s backing. Quanata’s work centers on customer needs and aims to improve the insurance industry through ongoing innovation. The company brings together data scientists, actuaries, engineers, designers, and marketers. Both technical skill and diverse perspectives are valued in developing new insurance products and services. Role overview The Senior Systems Engineer (remote) manages and supports Quanata’s enterprise IT systems. The role focuses on implementing, maintaining, and optimizing core infrastructure to keep systems reliable, secure, and adaptable for the organization. A customer-first mindset and strong internal service are important in this position. What you will do Lead enterprise projects, managing timelines, budgets, and risks to deliver results. Oversee and maintain the enterprise network and VPN infrastructure. Design and implement automated solutions to improve operational efficiency. Apply technical expertise to organization-wide initiatives, solving complex problems with creative approaches. Work with stakeholders to ensure enterprise applications meet established standards and security requirements. Create and maintain documentation for systems and processes. Learn more about Quanata at quanata.com.

Role overview Jobgether is seeking a Senior Data Engineer based in Illinois. This fully remote role centers on building and maintaining the data infrastructure that supports company decision-making. The team values high standards and continuous improvement, creating an environment where collaboration and technical growth are part of daily work. Key responsibilities Design, develop, and maintain data pipelines and system architectures Support data-driven processes throughout the organization Optimize the flow of data for greater efficiency and reliability Ensure data integrity across all systems Remote work environment This position is fully remote. Team members connect virtually, sharing expertise and working together to solve challenges in a collaborative setting.

jobgether is looking for a Senior Data Engineer to help build and maintain the data infrastructure that supports business intelligence and analytics. This is a fully remote role based in Minnesota, offering flexibility to work from any location. Role overview The Senior Data Engineer will design, implement, and maintain data pipelines that ensure reliable data flow and accessibility. The position focuses on supporting analytical insights by delivering high-quality, well-structured data. Key responsibilities Design and develop scalable data architectures Build and maintain data pipelines for efficient data movement Monitor and optimize data workflows for performance and reliability Ensure data quality and accessibility for business intelligence Collaboration This role involves working closely with a team of professionals committed to high standards and continuous improvement in data solutions.

Role overview WorkWave seeks a Senior Data Analytics Engineer for a fully remote role within the United States. The position centers on developing and maintaining analytics solutions that guide business decisions company-wide. What you will do Collaborate with teams from various departments to identify and clarify their data requirements Design, build, and maintain data analytics tools and workflows Convert complex data into clear, actionable insights to support decisions throughout the organization

At Quanata, we prioritize your safety during the job application process. We advise all applicants to be vigilant against potential security risks when sharing personal information online. Please note that our only communication will originate from email addresses with the domain quanata.com. Any other correspondence should be disregarded as potentially unsafe.About UsQuanata is dedicated to transforming the insurance landscape through innovative, context-based solutions. Our team is passionate about leveraging cutting-edge technology to create exceptional digital products and brands. We combine top-tier talent from Silicon Valley with the robust support of State Farm, a leading insurer.Discover more about our mission and impact at quanata.com Our Team Our diverse team of data scientists, actuaries, engineers, designers, and marketers unites to pioneer the future of context-based insurance solutions. We believe that success is not only about technology but also about hiring talented individuals who can drive measurable change.The RoleWe are seeking a Senior Data Engineer with a strong focus on MLOps to enhance our model development and delivery practices. Your role will involve shaping and automating the machine learning lifecycle, from data collection to model training and monitoring. This impactful position will see you collaborate with data engineers and data scientists to establish a powerful platform that accelerates the launch of new data science models at Quanata.Your Day-to-Day ResponsibilitiesImplement key data science solutions that facilitate risk-prediction products across underwriting, pricing, claims routing, and marketing.Design and construct ML pipelines adhering to industry best practices, primarily utilizing AWS services like SageMaker, while integrating with tools like MLflow for experiment tracking and data platforms such as Snowflake.Develop and maintain a shared feature store (Snowflake Snowpark + Kafka) that supports both batch and real-time feature retrieval.

Join Luxury Presence as a Senior Data Engineer, where you will play a crucial role in designing and implementing robust data solutions that support our innovative digital platform. In this position, you will work closely with cross-functional teams to ensure the seamless integration of data across various systems.

At Databricks, we are driven by a passion for empowering data teams to tackle the world’s most challenging problems — from transforming transportation to accelerating medical innovations. We achieve this by creating and maintaining the leading data and AI infrastructure platform, enabling our clients to leverage profound data insights for business enhancement. Founded by engineers with a customer-first mentality, we eagerly embrace every opportunity to tackle complex technical challenges, ranging from the design of next-generation UI/UX for data interactions to scaling our services across millions of virtual machines. Our journey has just begun.As a member of the Runtime team at Databricks, you will be instrumental in developing the next generation of distributed data storage and processing systems. These systems will surpass specialized SQL query engines in relational query performance while offering the programming abstractions necessary to support a variety of workloads, from ETL to data science.Example projects include:Apache Spark™: Contribute to the de facto open-source standard framework for big data.Data Plane Storage: Develop reliable and high-performance services and client libraries for managing vast amounts of data within cloud storage backends like AWS S3 and Azure Blob Store.Delta Lake: Design a storage management system that merges the scalability and cost-effectiveness of data lakes with the performance and reliability of data warehouses, providing features like ACID transactions and time travel.Delta Pipelines: Simplify the orchestration and operation of numerous data pipelines, enabling clients to deploy, test, and upgrade pipelines effortlessly.Performance Engineering: Create the next-generation query optimizer and execution engine that is fast, scalable, and robust.

Jobgether is hiring a Remote Senior Data Engineer based in Columbia. This position centers on designing and building data solutions that support business growth. The role involves close collaboration with teams across the company to improve data pipelines and strengthen data architecture, making sure information moves smoothly and remains accessible. Role overview This engineer will focus on optimizing systems and solving complex data challenges. The work includes refining existing processes and introducing improvements that help the company use data more effectively. What you will do Design and implement scalable data solutions Work with cross-functional teams to enhance data pipelines Improve data architecture for better flow and access Apply expertise in big data technologies to address technical challenges Who we’re looking for Experience with big data technologies Strong problem-solving skills Ability to collaborate with multiple teams Innovative approach to optimizing data systems

Join Umbrel as a Senior Systems Engineer, where your expertise in Linux systems, especially at the kernel level, will play a crucial role in shaping the future of our innovative software. You will work extensively with networking technologies, Docker, and enhance performance for both x86 and ARM64 architectures.In this pivotal role, you will:Develop and sustain the core components of umbrelOS, prioritizing performance, stability, and security across various hardware platforms.Facilitate seamless integration and optimization of umbrelOS on Umbrel Home devices.Architect and execute system-level improvements.Perform comprehensive testing and debugging at the kernel level to ensure compatibility and manage system updates.We are looking for candidates who:Possess the ability to independently resolve engineering challenges.Value consistent and effective communication, as we engage in extensive reading and writing.Thrive as a generalist, unconfined to a specific framework or area of the codebase.Exhibit a natural curiosity and eagerness to learn new skills.Demonstrate sound judgment on release timelines: understanding that perfection can impede progress.