Senior Data Engineer at Octave | Remote

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 Affinipay as a Senior Data Engineer and play a pivotal role in shaping our data-driven solutions. In this fully remote position, you will be responsible for designing and implementing robust data pipelines, optimizing data storage solutions, and ensuring data integrity across our platforms. Collaborate with cross-functional teams to analyze data requirements and deliver insights that drive business decisions.

Jobgether is looking for a Senior Data Engineer to join the team. This is a remote role based in Connecticut. Role overview This position focuses on designing, building, and maintaining data pipelines and architecture that scale as the company grows. The Senior Data Engineer will play a key part in shaping how data is collected, processed, and used throughout the organization. What you will do Design and develop scalable data pipelines Maintain and improve existing data architecture Support business decisions by ensuring reliable access to data Work to enhance product offerings through effective data solutions Location This is a fully remote position open to candidates based in Connecticut.

Role overview Jobgether is seeking a Senior Data Engineer to join the team remotely from Columbia. The main focus is on strengthening the company’s data infrastructure and analytics capabilities. This role centers on building and maintaining data pipelines that support business intelligence and analytics throughout the organization. What you will do Design, develop, and maintain data pipelines to ensure reliable data flow Collaborate with teams across Jobgether to understand and address their data needs Support analytics efforts by maintaining high standards for data quality and accessibility Requirements Proven experience in data engineering, including building and maintaining data systems Ability to work effectively in a fully remote environment Strong collaboration skills and experience partnering with cross-functional teams

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.

About LeafLinkLeafLink stands as the premier B2B cannabis platform, empowering licensed cannabis enterprises with a comprehensive suite of tools to enhance operational efficiency, facilitate purchasing from preferred brands, and foster growth. We unify thousands of cannabis brands, distributors, and retailers under one platform, revolutionizing how businesses in the cannabis sector operate. With a presence in over 30 markets across North America and processing more than $5 billion in cannabis wholesale orders annually, LeafLink sets the benchmark for industry collaboration and growth.Supported by renowned venture capital firms such as Founders Fund, Thrive Capital, Nosara Capital, and Lerer Hippeau, our team is committed to transforming the cannabis supply chain through innovative technology. LeafLink has been recognized in multiple prestigious rankings, including Inc. 5000’s ‘Top 5000 Fastest-Growing Private Companies’ and Fast Company’s ‘Top 10 Most Innovative Companies in Enterprise for 2020’, alongside major names like Amazon and Slack. Our accolades continue with Built In NYC’s ‘Best Places to Work in 2021’ and the 2024 Green Market Report Award for Best Fintech in Cannabis - and we’re just getting started!The RoleWe are on the lookout for a Senior Data Engineer to spearhead the advancement of our data platform and analytics infrastructure. This pivotal role involves designing and scaling systems that provide critical analytics, reporting, and operational insights across the organization.As a Senior Data Engineer, you will play a key role in shaping how data is modeled, transferred, and utilized across various departments. You will collaborate with engineering, finance, product, and operations teams to ensure our data platform is reliable, scalable, and adept at supporting essential decision-making processes.Your ResponsibilitiesLead the design and development of scalable data pipelines using Airflow, dbt, and Python.Guide the architecture and evolution of the company’s data platform.Create integrations across modern data stack tools including Fivetran, Redshift, and Sigma.Develop serverless data services utilizing AWS services such as Lambda.Collaborate with stakeholders to establish dependable data models and analytics datasets.Enhance pipeline reliability through rigorous testing, monitoring, and observability.Revamp legacy data processes and bolster automation across the platform.Mentor engineers and analysts on data best practices.

Role Overview foodsmart is looking for a Senior Data Engineer to help strengthen our data infrastructure and analytics. This role focuses on building and improving data pipelines that support decision-making throughout the company.

Role overview jobgether is seeking a Senior Data Engineer for a fully remote position based in Minnesota. This role centers on building and maintaining the data infrastructure that underpins analytics and daily business operations. What you will do Design and develop data pipelines that enable business insights and support solutions Maintain and enhance existing data systems to improve reliability and accuracy Safeguard data integrity and ensure availability for analytics and operational teams Team culture Collaborate with colleagues who value data-driven decision making and technology. Projects focus on delivering meaningful business results through dependable data solutions.

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 the innovative team at BlueLabs, where we craft cutting-edge sports betting and casino solutions that deliver engaging digital experiences to countless players globally. Our fully remote workforce is driven by a shared passion for developing high-quality products that leverage technology. At BlueLabs, our core values of collaboration, curiosity, ownership, and a commitment to building meaningful solutions guide our endeavors.We are currently seeking a Senior Data Engineer to become an integral part of our Platform team. In this role, you will enhance our data infrastructure, empowering product, partner-facing, and compliance teams to provide reliable, real-time, data-driven experiences at scale.Technology StackOur technology stack is comprised of over 50 microservices developed in Go and Elixir, forming a highly efficient and scalable foundation for our operations. We utilize Apache Pulsar for event-driven messaging, Kubernetes for container orchestration, Google Cloud Platform for cloud infrastructure, PostgreSQL and SingleStore for both transactional and analytical storage, DBT for transformations and analytics engineering, and Flink and Spark for distributed data processing. Our core data modeling methodology is based on Data Vault 2.0.Our automated release process allows our lean engineering team to execute multiple deployments daily seamlessly. This automation encompasses everything from infrastructure provisioning to application deployment, including monitoring dashboard configurations and alert setups. The tools we employ include Terraform, Helmfile, and GitHub Actions.For monitoring, we rely on Grafana, Loki, and Mimir to track the performance and behavior of our platform, enabling us to automatically identify and escalate potential issues to relevant teams.As a forward-thinking technology company, we are committed to fostering a modern and agile tech environment that empowers our engineers to excel and shape the future of sports betting technology. Within the Elixir ecosystem, we are expanding our use of Broadway for stream processing and investing in internal platforms that harness the capabilities of the BEAM. Our commitment to exploring the potential of Elixir in the data domain remains steadfast, while we maintain a pragmatic, polyglot approach when necessary.About The RoleThe mission of our team is to support partner-facing teams across the organization by developing systems that enable them to deliver new features swiftly and efficiently. This position plays a pivotal role in our strategic transition from Go and Node to Elixir, representing not just a re-write but a comprehensive transformation aimed at enhancing the efficiency, scalability, and maintainability of our platform.

Join Mozilla as a Senior Data Engineer!At Mozilla, we are dedicated to crafting an internet that is better for everyone. As a key member of our Data Engineering team, you will be instrumental in managing the complete data lifecycle. Your role will involve transforming raw data into reliable models that empower our team to make informed decisions.In this position, you will bridge the gap between our technical systems and business needs, enhancing our data platform while ensuring that the data is easily accessible and trustworthy for other teams. Recent initiatives include launching a data catalog, enhancing data observability, and implementing a medallion architecture to ensure our data remains reliable and accurate.

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.

ezCater stands at the forefront of the food for work technology sector in the United States, seamlessly connecting businesses in need of workplace catering with a vast network of over 100,000 restaurants nationwide. Our innovative platform delivers flexible and scalable solutions, catering to everything from regular employee meals to special one-off events, all supported by our dedicated 24/7 customer service team. Additionally, we empower companies to efficiently manage their food budgets through a single, customizable platform. For our restaurant partners, ezCater drives growth by increasing their order volume and attracting high-value customers. We are proud to be backed by prominent investors including Insight, Iconiq, Lightspeed, GIC, SoftBank, and Quadrille.Are you enthusiastic about harnessing the power of data? Are you ready to influence a rapidly expanding two-sided marketplace through data-driven insights? Do you have innovative ideas on how to empower data scientists within a billion-dollar organization to optimize workforce planning or predict real-time customer lifetime value? If so, we want to connect with you!The Data Technology team at ezCater is on an exciting growth trajectory! As we prepare for the future, data will remain a core strategic asset across the company—encompassing everything from advanced machine learning to business intelligence and data governance. Data is poised to be our key differentiator, driving significant impact within the $100 billion catering industry.We are looking for a Senior Data Engineer to join our dynamic team and tackle complex data and platform challenges that will help accelerate our business growth. The ideal candidate is a data aficionado who champions best practices in systems and architecture, and is dedicated to creating robust infrastructure that underpins accurate and efficient data. You will collaborate directly with executive stakeholders as we embark on an organization-wide data modeling initiative, making adaptability and the ability to translate business needs into technical solutions essential.

At Rezilient, we are revolutionizing primary care by enhancing accessibility to healthcare services, making them more efficient and user-friendly. Our pioneering CloudClinic model integrates virtual provider consultations with state-of-the-art technology, crafting a personalized digital healthcare journey that prioritizes patient-centered care. By optimizing care delivery and continuously broadening our specialty services, we empower our healthcare team to concentrate on patient wellness while ensuring the most comprehensive and accessible care available.We are in search of a proficient and meticulous Senior Data Engineer to design and manage the data infrastructure that supports our mission. This role involves collaborating with leaders in operations, clinical services, and engineering to transform disparate healthcare data into reliable, near-real-time insights. These insights are crucial for expediting patient care and maintaining a patient-centered focus. You will be responsible for creating scalable data pipelines and secure data platforms, as well as modeling core data domains and sharing well-documented datasets that enhance both patient and provider experiences. Your contributions will facilitate advanced analytics and reporting, directly impacting our operational efficiency and care delivery.

Join our innovative team at Alvys as a Senior Data Engineer, where you will play a crucial role in transforming data into actionable insights. This position offers the flexibility of remote work and the opportunity to collaborate with a dynamic group of professionals dedicated to leveraging data for business success.

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.