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Top Remote Data Engineer Jobs in Kansas City, MO

18 Days Ago
USA
Remote
89 Employees
106K-159K Annually
Mid level
89 Employees
106K-159K Annually
Mid level
Artificial Intelligence • Insurance
As an Analytics Engineer at Loop, you'll model raw data into clean datasets for analytics, collaborate with data teams, and support data projects, ultimately helping merchants with insights and solutions. Your role will dynamically evolve as the company grows.
18 Days Ago
USA
Remote
220 Employees
140K-180K Annually
Senior level
220 Employees
140K-180K Annually
Senior level
Healthtech
The Data Engineering Lead at Equip will oversee the development of data infrastructure and pipelines, ensuring data availability and reliability to improve patient lives. Responsibilities include designing engineering projects, providing technical guidance, maintaining data quality standards, and collaborating with stakeholders.
18 Days Ago
US
Remote
820 Employees
Junior
820 Employees
Junior
Information Technology • Software
The Tax Data Specialist is responsible for maintaining tax profile data, processing customer profile updates, managing cases related to tax inquiries, and ensuring data accuracy in systems like TaxEx and Workday. They provide support for payroll tax data analysis and assist customers with filing impacts while maintaining quality metrics.
Top Benefits:
401-K
Company Outings
Dental Insurance
+13 More
18 Days Ago
United States
Remote
353 Employees
Senior level
353 Employees
Senior level
Information Technology
The Cloud Data Architect is responsible for creating data products from transactional and third-party data, improving existing systems, and collaborating with teams to build foundational data sets. The role requires experience in cloud data solutions, data warehousing, ETL tools, and big data technologies.
Top Benefits:
401-K
Company Outings
Dental Insurance
+11 More
18 Days Ago
United States
Remote
633 Employees
110K-130K Annually
Mid level
633 Employees
110K-130K Annually
Mid level
Energy • Renewable Energy
The Data Engineer II will design and implement infrastructure for a unified data platform, supporting organizational decision-making. Responsibilities include building ETL pipelines, maintaining data warehouses, analyzing data sources, and collaborating with stakeholders to meet data needs.
2,355 Employees
Social Impact
Crisis Text Line is seeking a Senior Manager for Data Engineering & Analytics to lead the data and analytics teams in utilizing data to deliver insights and create data products for fostering crisis support globally.
Top Benefits:
Health Insurance
Conferences Training
Performance Bonus
+1 More
18 Days Ago
United States
Remote
522 Employees
95K-133K Annually
Junior
522 Employees
95K-133K Annually
Junior
Software • Financial Services
As a Data Engineer, you'll design and develop large-scale data pipelines, enhance processes, integrate data sources, and write maintainable code to support various teams in the organization. You'll optimize data architectures and support ongoing projects through effective data delivery.
19 Days Ago
United States
Remote
834 Employees
139K-163K Annually
Senior level
834 Employees
139K-163K Annually
Senior level
Healthtech
The Senior Data Engineer is responsible for designing, developing, and maintaining data infrastructure, creating scalable data pipelines, and ensuring data quality and governance. They collaborate with various teams to meet data needs and stay updated on new data technologies.
19 Days Ago
USA
Remote
64 Employees
Senior level
64 Employees
Senior level
Mobile • Software
As a Senior Data Engineer, you will develop a cloud-based data transformation solution for the U.S. Army, managing data pipelines and communicating design decisions. This role requires architectural thinking, programming skills, and coordination with multiple teams to ensure the successful delivery of a secure product.
19 Days Ago
USA
Remote
130 Employees
190K-220K Annually
Senior level
130 Employees
190K-220K Annually
Senior level
Software • Database
The Senior Data Engineer will build data ingestion and processing infrastructure using tools like Spark and AWS. Responsibilities include creating a data resolution framework, developing CI/CD pipelines, solving complex data problems, and collaborating with engineering and product teams on data-related issues.
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