Data Analytics Engineer - Remote Opportunity

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.

jobgether is looking for a Data Engineer to join the team remotely from Massachusetts. This position centers on building and maintaining data pipelines that power internal decision-making. Role overview The Data Engineer will design, implement, and support systems that move and transform raw data into formats ready for analysis. The work directly supports the company’s ability to make informed, strategic decisions based on reliable information. What you will do Create and maintain data pipelines to ensure data flows smoothly between systems Transform raw data into formats suitable for analysis and reporting Support the organization’s data-driven decision-making by ensuring data is accurate and accessible Location This is a remote role based in Massachusetts.

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.

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 Engineer to join the team remotely from Florida. This position centers on building and improving data pipelines and architecture, supporting scalable data solutions. The Lead Data Engineer plays a key part in shaping data strategy while ensuring integration and processing stay reliable and efficient. What you will do Design, develop, and optimize data pipelines and infrastructure Guide the team in integrating data sources and maintaining high standards for data processing Mentor junior engineers and contribute to their technical growth Collaborate with colleagues across engineering and other departments to deliver data-driven solutions Promote and apply best practices in data engineering Requirements Proven experience leading data engineering projects and teams Strong background in building and optimizing data pipelines and architecture Ability to work effectively with cross-functional teams Interest in mentoring and developing junior engineers Remote work This role is fully remote and based in Florida.

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.

Jobgether is looking for a Lead Data Engineer who will work remotely from anywhere in the United States, including Florida. This position centers on building and maintaining data pipelines and architectures that support the company’s analytics and decision-making. Role overview The Lead Data Engineer will design, develop, and manage systems that move and organize data efficiently. The work involves collaborating with teams across the company to ensure data is accurate, accessible, and ready for analysis. What you will do Create and maintain scalable data pipelines Develop architectures that support data collection and analysis Work with cross-functional teams to ensure data is reliable and available Apply best practices in data management and engineering Requirements Experience leading or significantly contributing to data engineering projects Strong background in designing and maintaining data pipelines and architectures Ability to collaborate with technical and non-technical teams

Role overview Commonroom is hiring a Data Engineer to help shape how data is managed and used across the company. This is a fully remote position open to candidates based in the US. What you will do Build and maintain data pipelines that support business and product needs Contribute to new data solutions and improve existing systems

Job OverviewJoin our team as an AWS Data Engineer, where you will be instrumental in designing, developing, and maintaining robust data pipelines on the AWS platform. Collaborating with technical analysts, client stakeholders, and data scientists, you will ensure the highest standards of data quality and integrity while optimizing storage solutions for efficiency and cost-effectiveness. Your expertise in AWS native technologies and Databricks will play a key role in transforming and processing data at scale.Key Responsibilities• Drive the modernization of data platforms through effective project leadership and support.• Architect and build scalable data pipelines utilizing AWS native services.• Enhance ETL processes to guarantee efficient data transformation.• Oversee the migration of workflows from on-premises systems to the AWS cloud, maintaining data quality and consistency throughout the process.• Develop automations and integrations to address data quality issues and inconsistencies.• Conduct thorough system testing and validation to confirm successful integration and functionality.• Implement strong security and compliance measures in the cloud environment.• Ensure data integrity before and after migration through comprehensive validation checks addressing completeness, consistency, and accuracy of data sets.• Work closely with data architects and lead developers to document manual data workflows and devise automation strategies.

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.

Role overview jobgether seeks a Lead Data Engineer to help shape the company’s data strategy. This fully remote position is based in Minnesota. The person in this role will guide projects that influence several platforms and support the company’s growth. What you will do Lead initiatives to improve and evolve data architecture Make sure systems scale smoothly as jobgether expands Optimize data performance across different platforms Location This is a remote role for candidates based in Minnesota.

Job Overview Lola Blankets is an innovative and rapidly expanding direct-to-consumer brand, renowned for producing some of the most beloved blankets on the internet. Our cutting-edge, open-source data stack—utilizing tools like dbt, Dagster, and Lightdash—facilitates crucial decision-making processes, ensuring our data remains reliable, fast, and actionable. We are seeking a passionate Data Platform Engineer who will bridge the gap between data and engineering. In this role, you will take ownership of our analytics platform foundation while also contributing to the broader engineering roadmap across product development, operations, and integrations. On the data side, you will collaborate with our Analytics Lead to oversee data ingestion, transformation, orchestration, and the semantic layer. If a dashboard's data seems off, you'll diligently trace it through Lightdash, dbt, and pipelines to identify and rectify the issue. From the engineering perspective, you will partner with our Technology & Engineering Lead to work on integrations, event pipelines, and platform infrastructure, applying a DevOps mindset to maintain environments, deployments, and production reliability. We pride ourselves on being a lean, builders’ team: open-source-oriented, agile, and opinionated. Your strong judgment and execution capabilities will be essential in this dynamic environment.

Jobgether seeks a Data Engineer to join its remote team in Colorado. This role focuses on building and maintaining the infrastructure that powers data operations. The position plays a key part in shaping how data is collected, stored, and used to guide business decisions. Role overview The Data Engineer will design, build, and maintain the systems that manage company data. Collaboration with colleagues is essential to optimize data processes and address complex challenges. The work directly supports data-driven decision-making throughout the organization. What you will do Design, build, and maintain data infrastructure Support data-driven decision-making across the organization Work closely with team members to improve data processes and solve complex problems Requirements Experience designing and maintaining data systems Interest in solving problems using data Comfort working collaboratively in a remote team

Please submit your resume in English and indicate your English proficiency level. Mindrift connects skilled professionals with project-based AI work for leading technology companies. Projects focus on testing, evaluating, and improving AI systems. This is a freelance, project-based position rather than a permanent staff role. Role overview This freelance Data Science Engineer position centers on designing and validating challenging data science problems for real-world business scenarios. Work is fully remote and project-based, with a focus on Python and SQL. What you will do Design data science problems that mirror analytical challenges in industries such as telecommunications, finance, government, e-commerce, and healthcare. Create tasks requiring Python programming, using libraries like Pandas, Numpy, Scipy, scikit-learn, Statsmodels, Matplotlib, and Seaborn. Ensure problems are computationally intensive, with solutions that may require days or weeks to process. Develop scenarios involving advanced data processing, statistical analysis, feature engineering, predictive modeling, and generating business insights. Write deterministic problems with reproducible results by using fixed random seeds or avoiding stochastic elements. Base challenges on real business cases, including customer analytics, risk assessment, fraud detection, forecasting, optimization, and efficiency improvements. Cover the full data science workflow: data ingestion, cleaning, exploratory analysis, modeling, validation, and deployment considerations. Incorporate big data scenarios that require scalable computation strategies. Validate all solutions in Python, using standard data science libraries and statistical techniques. Document each problem clearly within a realistic business context and provide accurate, verified answers. Requirements Minimum 5 years of hands-on data science experience with proven business results. Portfolio of completed projects or publications demonstrating real-world problem solving. Advanced Python skills for data science, including experience with pandas, numpy, scipy, scikit-learn, and statsmodels. Strong background in statistical analysis and machine learning, with deep understanding of algorithms and their practical use. Expertise in SQL and database operations for data analysis and manipulation. Familiarity with Generative AI tools and concepts (LLMs, Retrieval-Augmented Generation, prompt engineering, vector databases). Understanding of MLOps and model deployment workflows. Knowledge of modern frameworks such as TensorFlow, PyTorch, and LangChain. Excellent written English communication skills at C1 level or above. How to join Apply Complete qualifications Join a project Fulfill assigned tasks Receive compensation Location Remote , Iowa, United States

Are you excited about crafting scalable data solutions in the cloud? Join our team as a Data Engineer, where your expertise in modern data tools and programming will play a crucial role in developing high-quality metrics, robust data pipelines, and real-time processing systems.