Senior Data Analytics Engineer - Remote Opportunity

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.

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.

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

About Octave:Octave is transforming behavioral health care by establishing a new standard that promotes both high-quality service and accessibility. With a network of in-person and virtual clinics across multiple states, we provide evidence-based therapy for individuals, couples, and families. Our innovative partnerships with insurance providers aim to enhance affordability, ensuring that everyone can access the care they need. We are passionate about redefining care delivery and supporting our healthcare providers, ultimately building a sustainable system centered on equity, affordability, and effectiveness.About the Role:We are seeking a talented Senior Data Engineer with robust experience in building data platforms to advance our modern data architecture and lay the groundwork for our evolving AI and machine learning capabilities. This pivotal role merges data engineering with platform architecture and machine learning support, aiming to implement high-quality, scalable, and ethical AI applications. Collaborating closely with data scientists, analysts, and product managers, you will ensure our platform delivers reliable data pipelines, scalable analytics, and production-ready machine learning systems. You will also establish new architectural standards and best practices for fellow engineers. The ideal candidate possesses a systems-thinking mindset and enjoys hands-on building in fast-paced environments, with a fervor for creating dependable data infrastructure that accelerates the efforts of peers and partner teams.Key Responsibilities:Design, build, and sustain scalable systems for data ingestion, transformation, and storage, emphasizing testing and observability.Deploy frameworks, tools, and automation to enhance development velocity while maintaining safety.Develop comprehensive AI/ML workflows, covering source ingestion, preparation, training, tuning, experimentation, productionization, and integration with downstream systems (EHR modules, micro-services, dashboards).Facilitate iterative model development and monitor production operations, focusing on accuracy, drift, bias, fairness, and reproducibility.Promote a culture of continuous improvement and knowledge sharing through mentoring fellow engineers.

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.