Top Remote Data Engineer Jobs

Design, build, and maintain scalable ETL/data pipelines and data models using Snowflake and AWS. Automate data ingestion, optimize query performance, liaise with Data Science and Application teams, and ensure reliable deployments from development to production.

Lead design, optimization, and management of enterprise data platform infrastructure with a focus on advanced SQL Server environments. Manage HA/DR, perform T-SQL development and performance tuning, enforce DB security, build scalable Python-based data pipelines and AWS IaC, integrate REST APIs, and architect AI/ML-ready data workflows.

The Senior Data Engineer will manage and transform data pipelines, implement changes in Snowflake, monitor costs, and resolve data issues.

Design and implement enterprise Databricks/AWS data platform and lakehouse solutions for healthcare data. Build and optimize ETL pipelines (Delta Live Tables), medallion architectures, streaming and batch processing, data models (FHIR/OMOP), governance (Unity Catalog), security for PHI/PII, IaC with Terraform, and collaborate with cross-functional teams to deliver reliable, cost-effective external and internal data products.

Lead data platform architecture and delivery for healthcare-focused Lakehouse/Warehouse solutions. Drive Databricks/AWS design, governance, security (PHI/PII), ETL/Delta Live Tables, APIs, modeling (FHIR/OMOP), IaC (Terraform), pipeline performance, and cross-functional collaboration to deliver scalable, production-grade data products.

Design and build data infrastructure and data pipelines, focusing on big data processing, modeling, and automation to support engineering teams at NextSense.

As a Senior Data Engineer, you'll optimize and maintain data platforms, develop integrations, and collaborate cross-functionally to enhance analytics and decision-making capabilities.

Nagarro seeks an Associate Principal Engineer in Big Data to leverage extensive IT experience for strategic organizational value. The role values self-starters and innovation.

As a Lead Data Engineer, you'll optimize data workflows, manage data engineering projects, mentor junior engineers, and ensure robust data solutions meet business needs.

Design, build, and operate scalable batch and streaming data pipelines; partner with customer and product teams to implement health system integrations; improve monitoring, tooling, and data accessibility; serve as a dataset and tooling subject matter expert.

Technical leader building scalable data pipelines, analytics infrastructure, and APIs. Own architecture, optimize large-scale query performance, mentor engineers, and partner with product and integration teams to deliver real-time and historical analytics.

Lead design and delivery of data platform and analytics solutions, maintain data lake and catalogs, mentor ACE team, drive ROI-focused analytics projects, and enable data-driven decision-making across the business.

Design, build, and operate cloud-native data platforms and scalable pipelines using Snowflake and dbt. Lead orchestration, CI/CD, observability, and performance tuning. Collaborate on backend services and limited frontend work, mentor engineers, define modeling standards, and participate in multi-team architecture and system design.

As a Senior Data Engineer, you'll design, build, and optimize data infrastructure while collaborating with teams to enhance data flow and integration across platforms.

As a Senior Data Engineer at Afresh, you'll improve how customer data is integrated and processed, designing robust ETLs and enhancing platform tools to support scalability and accuracy in handling large datasets.

The Staff Data Engineer will design, build, and optimize large-scale data capabilities, focusing on automation and intelligent decision-making within the organization. Responsibilities include software design, implementation, and promoting best engineering practices.

The Senior Data Engineer will design and build data pipelines and infrastructure to support data science and business intelligence solutions, utilizing AWS services and streaming technologies.

Design and maintain high-quality data pipelines, develop DBT models, collaborate with analytics and data science teams, and optimize data operations for scalability.

As a Senior Data Engineer, you will design and maintain scalable data pipelines, develop ETL processes, and work with cloud platforms. Collaboration with teams to ensure data quality and governance while troubleshooting production issues will be key responsibilities.

The Senior Data Engineer is responsible for building scalable data solutions, collaborating with teams, and mentoring while overseeing data governance and strategy execution.

As a Senior Data Engineer, you will enhance the data lakehouse, optimize data workloads, perform complex transformations, and develop frameworks to improve delivery velocity, focusing on cybersecurity solutions.

The role involves building data platforms and pipelines, integrating AI solutions, and collaborating with product owners to address complex client issues.

The Senior Data Engineer develops and maintains data pipelines, collaborates on scalable data solutions, and ensures data security via cloud services.

The Senior Data Engineer will lead data engineering projects, build scalable ETL processes, and support cross-functional teams with reliable data.

Lead scalable data engineering initiatives to support BI and analytics, ensuring reliable data for strategic decision-making across teams.