Top Remote Data Engineer Jobs in Greensboro, NC

As a Senior Data Engineer, you will design ETLs for large customer datasets, improve integration tools, and mentor other engineers, impacting customer onboarding and data accuracy.

The Solution Engineer - Data Engineering Specialist will provide technical leadership in the financial services sector, collaborating with sales teams to demonstrate Snowflake's data platform capabilities while engaging with technical and executive stakeholders.

As a Data Engineer, you will build and optimize data pipelines, ensuring accurate data delivery that informs pricing and market analytics at Alt.

The Data Engineer will design and maintain ETL/ELT pipelines, optimize data processing jobs, and ensure data quality and availability.

The Staff Data Engineer will design and maintain data systems, streamline workflow for Data Analytics and Machine Learning teams, and ensure data pipelines are efficient and reliable. Responsibilities also include driving large projects, collaborating across teams, mentoring, and supporting the company's strategy.

The Senior Staff Data Engineer at SmithRx will define technical vision, improve data engineering efficiencies, and enhance data governance while mentoring other engineers and leading cross-functional collaborations.

Develop and enhance data solutions in healthcare, lead projects, analyze business needs, provide ETL support, and mentor junior staff.

The Senior Data Engineer will design and manage data pipelines, work with complex datasets, and collaborate with teams to enhance data product integrity and effectiveness.

The Senior Data Engineer will design, construct, test, and maintain architectures including databases and large-scale processing systems.

The Senior Data Engineer will design and maintain data infrastructures, support analytics, and collaborate with stakeholders to improve data quality and governance while utilizing DBT and AWS tools.

The Sr. Data Engineer will build and maintain data pipelines, develop ETL processes, and optimize data infrastructure, collaborating across teams to ensure data reliability and performance.

The Data Architect & Strategy Lead will assess and optimize data operations, manage MongoDB performance, and implement modern data architecture and strategies, ensuring system reliability and performance.

Lead architecture and hands-on engineering to design, scale, and govern a cloud-native lakehouse using Databricks and Microsoft Fabric. Build batch/streaming pipelines, ensure HIPAA-compliant PHI handling, produce analytics-ready datasets, mentor engineers, and drive platform strategy, governance, and reliability.

Design and implement ETL processes, collaborate with stakeholders, develop data pipelines, and ensure compliance with federal guidelines in a remote setting.

The Senior Data Engineer will design and optimize data infrastructures and pipelines, lead projects, mentor juniors, and enforce best practices.

The Sr. Data Engineer - Databricks designs and maintains scalable data solutions using Apache Spark and Databricks, ensuring data quality and performance for analytics and reporting.

Design and implement Lakehouse solutions and data pipelines, optimize Databricks environments, and integrate AI applications while delivering exceptional results for clients.

The Senior Data Engineer designs and manages data warehouse infrastructure, develops ELT pipelines, ensures data security, and promotes data quality while collaborating with diverse stakeholders.

Seeking a Senior BODS Developer to develop and maintain complex BODS processes for data transformation. The role includes improving data quality using Information Steward and GAC/URAC techniques, collaborating with teams, creating documentation, and mentoring others.

The Senior Data Engineer will design and implement complex data models, collaborate on data governance, lead data initiatives, and mentor team members.

Lead the design and evolution of systems for data ingestion, transformation, and access; mentor engineers and ensure data governance best practices.

The Data Platform Engineer will build and operate scalable data infrastructure, design efficient ETL pipelines, and mentor team members while collaborating with product managers and engineers.

Design and optimize SQL Server solutions, manage data, automate processes with PowerShell, and integrate with external systems to enhance functionality.

The Data Engineer will design and maintain scalable data pipelines, automate workflows, and enhance data governance while collaborating with cross-functional teams.

The Data Architect will design scalable data models, transform raw data into actionable insights, and deploy analytics solutions for healthcare providers, with a strong emphasis on SQL proficiency and cloud technologies.