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Top Data Engineer Jobs in Little Rock,

24 Days Ago
5 Locations
Remote
221 Employees
130K-150K Annually
Senior level
221 Employees
130K-150K Annually
Senior level
Financial Services
As an Analytics Engineer, you will create and optimize data models, work with product and engineering teams to ensure accurate data generation, collaborate with stakeholders on project timelines, and improve data processes using various analytics tools.
24 Days Ago
United States
Remote
75 Employees
Senior level
75 Employees
Senior level
Fintech • Healthtech • HR Tech • Social Impact • Financial Services
Sr. Analytics Engineer role at Paytient, partnering with various stakeholders to deliver data products driving operational efficiency and product improvement. Responsible for full-stack analytics engineering, data governance, creating actionable insights, and utilizing Machine Learning. Remote position in the continental U.S., excluding Montana.
24 Days Ago
US
Remote
18 Employees
Senior level
18 Employees
Senior level
Information Technology • Legal Tech • Software
The Senior Data Engineer will design, maintain, and enhance the company's data analytics pipeline, focusing on data warehouse and ETL processes. Responsibilities include developing tools for monitoring data health, collaborating with stakeholders, and ensuring data accuracy and reliability.
24 Days Ago
United States
Remote
700 Employees
Senior level
700 Employees
Senior level
Edtech • Enterprise Web • HR Tech • Software
As a Staff Machine Learning Engineer at Handshake, you will lead a small team to enhance AI products and infrastructure, focusing on Generative AI and Recommendations. You will develop machine learning systems, design partnerships across teams, and drive technical direction while ensuring high-quality execution and user-centered solutions.
Top Benefits:
401-K
Commuter Benefits
Company Equity
+16 More
24 Days Ago
USA
Remote
322 Employees
110K-170K Annually
Mid level
322 Employees
110K-170K Annually
Mid level
Artificial Intelligence • Information Technology
The Data & Analytics Solution Architect will lead the design and implementation of data warehouses and analytics solutions while providing architectural guidance. This role involves collaborating with team members and clients to understand business requirements, developing KPIs, and managing the full lifecycle of BI applications using Microsoft tools and technologies.
24 Days Ago
USA
Remote
510 Employees
Expert/Leader
510 Employees
Expert/Leader
AdTech • Digital Media • News + Entertainment • Other
The VP of Engineering, Data at Axios will lead the data engineering, data science, and analytics teams, overseeing the data platform's architecture and infrastructure. They will manage the data leadership team, set the vision and strategy for data initiatives, ensure alignment with company goals, and foster a diverse and inclusive environment.
Top Benefits:
401-K
Commuter Benefits
Company Outings
+44 More
24 Days Ago
United States
Remote
397 Employees
145K-171K Annually
Senior level
397 Employees
145K-171K Annually
Senior level
Information Technology
As a Staff Analytics Engineer, you will design and build data pipelines and infrastructure to enhance operational performance. Collaborating with data scientists and engineers, you'll ensure clean, accessible data and contribute to data strategy focusing on quality and governance. Mentor junior team members and optimize data systems for business operations.
25 Days Ago
US
Remote
3,080 Employees
Senior level
3,080 Employees
Senior level
Insurance
The Lead Data Engineer will oversee the design, construction, and optimization of data orchestration and pipeline architecture. Responsibilities include implementing ELT/ETL processes, managing data architecture, supporting multiple teams, and mentoring junior engineers. The role demands a hands-on approach to build data systems while contributing to the company's data strategy.
25 Days Ago
USA
Remote
90 Employees
Senior level
90 Employees
Senior level
Healthtech
As a Senior Data Engineer, you will develop and enhance data infrastructures, improve data quality, and design systems for performance and reliability. You'll partner with product managers and data teams, build batch and streaming pipelines, and ensure effective data governance. You will also drive technical projects and optimize workflows.
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