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Top Remote Data Engineer Jobs in Greensboro, NC

349+ Job Results
22 Days Ago
United States
Remote
145 Employees
Senior level
145 Employees
Senior level
Marketing Tech • Professional Services • Sales • Social Impact • Software
As a Senior Analytics Engineer at Lob, you will design data pipelines, develop data models, and collaborate with various teams to deliver actionable insights. You will implement analytics best practices, mentor engineering colleagues, and advocate for data governance and quality metrics, while leveraging your experience in data visualization and analytics tools.
Top Benefits:
401-K
Adoption Assistance
Child Care Benefits
+42 More
22 Days Ago
United States
Remote
3,000 Employees
221K-245K Annually
Senior level
3,000 Employees
221K-245K Annually
Senior level
eCommerce • Food • Software
As a Senior Data Engineer on the Finance team, you will manage financial data pipelines, ensuring accurate reporting and collaborating with cross-functional teams. You will design scalable solutions and have autonomy in driving key initiatives that impact the company's financial data vision.
Top Benefits:
401-K
Adoption Assistance
Company Equity
+38 More
22 Days Ago
United States
Remote
7,000 Employees
Senior level
7,000 Employees
Senior level
Cloud • Insurance • Professional Services • Analytics • Cybersecurity
The Sr. Data Engineer-GCP designs, develops, and integrates data applications on Google Cloud Platform. Responsibilities include building data processing systems, automating data pipelines, leading unit testing, adhering to quality standards, and implementing process improvements. The role leverages machine learning and collaborates with internal and external resources to support reporting and analytics needs.
Top Benefits:
401-K
401-K Matching
Adoption Assistance
+52 More
23 Days Ago
USA
Remote
900 Employees
185K Annually
Senior level
900 Employees
185K Annually
Senior level
Computer Vision • Healthtech • Information Technology • Logistics • Machine Learning • Software • Manufacturing
As a Senior Data Engineer at Dandy, you will design and maintain data infrastructure, own end-to-end data pipelines, and collaborate with stakeholders to ensure reliable data solutions. You'll mentor junior engineers and continuously improve systems to enhance data-driven decision-making across the organization.
Top Benefits:
401-K
Commuter Benefits
Company Equity
+48 More
23 Days Ago
US
Remote
56 Employees
Senior level
56 Employees
Senior level
Enterprise Web • HR Tech • Information Technology • Software
As a Senior Machine Learning Engineer, you will design data pipelines, develop machine learning models, and collaborate with various teams to integrate ML capabilities into products. You will also train others, conduct experiments to validate outcomes, and serve as a thought leader in data-driven innovations.
Top Benefits:
401-K
401-K Matching
Commuter Benefits
+42 More
An Hour Ago
United States
Remote
2,427 Employees
91K-128K Annually
Entry level
2,427 Employees
91K-128K Annually
Entry level
Cloud • Software
The Analytics and Reporting Engineer at Five9 is tasked with gathering customer requirements and developing custom reports utilizing Five9's Analytics products. Responsibilities include ensuring timely project delivery, collaborating with team members and clients, helping the Professional Services Team, and mastering necessary software tools to provide customer support.
2 Hours Ago
USA
Remote
255 Employees
16-18
Entry level
255 Employees
16-18
Entry level
Pet
The Data Annotation Specialist will review and label video data to support machine learning projects, maintain organized records, and ensure data quality standards. This part-time role offers flexible hours while contributing to improving products for dog owners.
9 Hours Ago
USA
Remote
221 Employees
Senior level
221 Employees
Senior level
Artificial Intelligence • Machine Learning • Software • Biotech • Pharmaceutical
The Staff Research Lead will oversee research projects in drug discovery, focusing on real-world data studies and patient-centric insights. Responsibilities include translating research questions into study designs, managing projects using agile tools, collaborating with cross-functional teams, and working with diverse data types using R and Python in cloud environments.
Top Benefits:
401-K
401-K Matching
Commuter Benefits
+31 More
20 Hours Ago
United States
Remote
633 Employees
135K-165K Annually
Senior level
633 Employees
135K-165K Annually
Senior level
Energy • Renewable Energy
As a Senior Data Engineer, you will design, develop, and maintain data platforms to support organizational data needs, build scalable data ingestion pipelines, lead data governance efforts, and collaborate with Data Scientists and Product Managers to implement data models and ETL processes, predominantly using AWS technologies.
22 Hours Ago
USA
Remote
19,994 Employees
Mid level
19,994 Employees
Mid level
Artificial Intelligence • Information Technology • Machine Learning • Software • Virtual Reality • Analytics
The Associate Principal Data Engineer is responsible for implementing data models, optimizing data pipelines using Snowflake on Azure, developing data products like SQL data pipelines and dashboards, automating workflows with scripting languages, and collaborating with business teams to meet their data needs.
22 Hours Ago
USA
Remote
19,994 Employees
Senior level
19,994 Employees
Senior level
Artificial Intelligence • Information Technology • Machine Learning • Software • Virtual Reality • Analytics
The Senior Big Data Engineer will lead data migration technical planning, design and implement efficient data pipelines, ensure data quality, and provide technical support. The role involves working with cross-functional teams to deliver data solutions and staying current with industry best practices.
22 Hours Ago
USA
Remote
19,994 Employees
Senior level
19,994 Employees
Senior level
Artificial Intelligence • Information Technology • Machine Learning • Software • Virtual Reality • Analytics
The Senior Azure Synapse Data Engineer will develop and configure Azure Synapse Pipelines for data integration, collaborate with stakeholders to define technical requirements, connect systems to a client’s Data Platform, and conduct testing to ensure pipeline performance.
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