Top Remote Data Engineer Jobs

As a Senior Data Engineer at Carrum, you will develop and maintain solutions for data ingestion, processing, and modeling. You'll collaborate with teams to understand data needs, support HIPAA compliance, and build a robust data foundation including pipelines, ETL processes, and reporting systems.

As a Senior/Staff Data Engineer at StackAdapt, you will design scalable real-time data pipelines, implement architectural improvements for big data ML pipelines, and work on microservice architectures for ML models. You'll collaborate with data scientists and engineers to solve complex issues within digital advertising.

The Senior Data Integration Engineer will develop data models and processing pipelines for large data sets, utilizing SQL and RESTful APIs. Responsibilities include designing and maintaining ETL processes, integrating data from various sources, and ensuring data quality and integrity.

The Senior Data Engineer will design and build data architecture and scalable data pipelines, enabling advanced analytics and machine learning within the healthcare industry. Responsibilities include creating automated data flows, collaborating with infrastructure and data science teams, and shaping the data roadmap while ensuring high data quality and performance.

The Sr. Data Engineer will implement data integration architectures and develop ETL logic using Informatica, Snowflake, and Azure tools. Responsibilities include designing data management functions, collaborating on technical solutions, solving problems independently, and executing unit tests.

As a Senior Data Engineer, you will design and implement scalable, high-performance data pipelines and analytics solutions using AWS and Snowflake. Key responsibilities include collaborating with stakeholders, optimizing SQL queries, ensuring data integration and quality, and driving transformative changes in data engineering capabilities.

The Senior Data Engineer will collaborate with Agile teams to design and implement automated data lake solutions, centralize data from various sources, and manage data pipeline orchestration. The role involves working with Scala, Spark, SQL, and NoSQL to support company-wide analytics initiatives.

In this role, you will lead the development of AWS-based data pipelines and analytics, manage infrastructure-as-code, optimize databases, and support data-driven decisions across Dwolla's API platform, leveraging your skills in DataOps and cloud technologies.

As a Senior Data Engineer, you will design and optimize data infrastructure, collaborate with teams to ensure data flow across marketing technology platforms, and influence strategy and technical roadmaps. You will work on innovative projects using cutting-edge technologies.

As a Senior Data Engineer, you will be responsible for designing and implementing data solutions, managing ETL processes, and optimizing data warehousing strategies to support business analysis and reporting. You will collaborate with cross-functional teams to ensure data integrity and availability, leveraging Big Data technologies and AWS services to enhance data processing capabilities.

The Senior Data Engineer develops and manages data pipelines, ELT processes, and data storage solutions to ensure data quality and availability. They collaborate with teams to leverage data effectively for business outcomes and contribute to architectural and design decisions, mentoring junior team members while working on complex systems independently.

As a Senior Data Engineer, you will develop and maintain data pipelines using tools like Databricks and Airflow, write maintainable Python code, and design solutions with Kubernetes. You'll collaborate with Data Science teams to build scalable applications and manage data from diverse sources while ensuring effective communication across teams.

As a Senior Data Engineer (AI), you will design and maintain data pipelines, manage infrastructure, and integrate AI/ML applications. This role involves collaboration across teams to enhance data-driven decision-making and cybersecurity solutions.

The Data Engineer will design, develop, and maintain SQL data warehouses, optimize stored procedures, build reports using SSRS, create dynamic dashboards with Superset, and manage data pipelines via Airflow for data integration and automation.

The Senior Data Engineer at Cypris will design, build, and maintain scalable data pipelines and systems. Responsibilities include optimizing data performance, implementing ETL processes, collaborating with teams for data solutions, and ensuring data security. The role focuses on enhancing data capabilities in an AI-powered research tool for global innovation data.

As a Senior Data Engineer, you will design and implement scalable ETL tools and data services, optimizing data systems and pipelines. Collaborate with analysts and product owners to deliver data technology solutions, enhance CI/CD pipelines, and ensure data quality across various stages. You will document processes and provide technical support for data integration and management.

As a Senior Data Engineer, you'll design, build, and maintain scalable data pipelines in cloud infrastructure, collaborating with teams for data analytics and machine learning projects. Your role includes developing ETL pipelines, optimizing SQL performance, and working with both relational and NoSQL databases.