Senior Data Systems Engineer - Remote Opportunity

Role overview Jobgether is seeking a Senior Data Systems Engineer for a fully remote role based in Connecticut. The main focus is on designing, building, and maintaining data systems that underpin essential business functions. This position emphasizes data architecture and systems integration, providing dependable solutions to support data-driven decisions. What you will do Design and implement scalable data systems to handle growing business requirements Maintain and enhance the current data infrastructure for stability and performance Integrate data from multiple sources, ensuring consistency and accessibility for business operations Work closely with team members to create solutions that help drive informed decision-making Team culture The team values open collaboration, encourages new ideas, and appreciates creative problem-solving. Technical expertise and innovative thinking are welcomed at every stage of a project.

Role overview jobgether is hiring a Data Systems Engineer to work remotely from Arizona. This role centers on building and maintaining the data infrastructure that supports projects and enables data-driven decisions throughout the company. What you will do Design, implement, and optimize data solutions with input from teams across different areas Maintain and enhance data systems to keep them efficient and scalable Support the growth of data architecture to align with company objectives Requirements Strong analytical skills and technical experience in data systems engineering Background working with cross-functional teams Ability to keep data systems reliable and scalable as requirements change Location This position is fully remote for candidates based in Arizona.

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 Jobgether is seeking a Remote Data Systems Engineer located in California. The position centers on building and refining the data systems that support daily operations and inform long-term company strategy. What you will do Design, develop, and optimize data systems tailored to business requirements Collaborate with teams across the organization to deliver scalable and dependable data solutions Prioritize data integrity and security in all system work Apply best practices in data management throughout the lifecycle of each system Collaboration and impact This role involves close cooperation with colleagues from a range of departments. The aim is to ensure that data infrastructure meets current operational needs and supports future company growth.

As a note for all engineering positions: in light of the increase in fraudulent applications and AI-driven candidate impersonation, we have instituted rigorous measures throughout the hiring process to ensure the authenticity of candidates.About UsAt People Data Labs (PDL), we pride ourselves on being the premier provider of people and company data. Our mission is to handle the complexities of data collection and standardization, enabling our clients to concentrate on developing and scaling innovative, compliant data solutions. Our primary focus is to deliver the highest quality data available by integrating thousands of responsibly sourced datasets into a single, developer-friendly source of truth. Leading organizations worldwide rely on PDL’s workforce data to enhance recruiting platforms, power AI models, create targeted audiences, and much more.We seek team members who embody a strong sense of ownership while embracing a collaborative spirit. Our clients face intricate challenges, and we can only help them succeed as a united team. Our Data Engineering Team is the driving force behind our success, and we are on the lookout for top-tier talent.If you aspire to be part of a team exploring the next frontier of data-as-a-service (DaaS) with significant autonomy and opportunities for impactful contributions, this role may be perfect for you. We value engineers who are thoughtful, innovative, and willing to boldly experiment. At PDL, we embrace failure as long as it leads to learning and growth.Key ResponsibilitiesDevelop infrastructure for the ingestion, transformation, and loading of an ever-increasing volume of data from diverse sources utilizing Spark, SQL, AWS, and Databricks.Create an organic entity resolution framework capable of accurately merging hundreds of billions of individual entities into clean, usable datasets.Design and implement CI/CD pipelines and anomaly detection systems aimed at continuously enhancing the quality of data we deliver to production.Innovate solutions for complex, often ill-defined data engineering and data science challenges.Required Technical Skills5-7+ years of relevant experience with demonstrable examples of strategic technical problem-solving and implementation.Solid grounding in software development principles.Proficiency in Python.Expertise in Apache Spark (Java, Scala, and/or Python-based).Familiarity with AWS services and data engineering best practices.

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 seeks a Lead Data Systems Engineer to guide the development and upkeep of its data infrastructure. This position is fully remote within Florida, allowing for flexible work arrangements while staying connected to a collaborative team. What you will do Design, build, and maintain data systems tailored to business requirements Collaborate with teams across the company to uphold data integrity, improve accessibility, and safeguard security Contribute to ongoing enhancements of the data infrastructure Location This role is remote and open to candidates based anywhere in Florida.

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.

Jobgether is looking for a Senior Data Engineer to strengthen and evolve its data infrastructure. This remote position is open to candidates based in Idaho, providing the flexibility to work from any location within the state. Role overview The Senior Data Engineer will focus on transforming complex datasets into actionable insights. The role involves supporting ongoing enhancements to data systems, ensuring information is accessible and reliable for decision-making. Key responsibilities Build and refine data infrastructure to support business needs Convert large and complex data sets into clear, useful insights Contribute to continuous improvements of data systems and processes Location This is a remote role for candidates residing in Idaho.

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.

Role overview Jobgether seeks a Senior Data Engineer to strengthen and refine its data architecture. This is a fully remote role based in Columbia. The position centers on designing, developing, and optimizing data systems that support ongoing business growth. What you will do Create and enhance data pipelines that transform raw data into actionable insights Develop and maintain systems that ensure data is reliable and accessible for business needs Work on architectural improvements as the company scales Requirements Proven experience building and maintaining data pipelines Strong background in data architecture and system optimization

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.