Job Description

RANGR Data is a US-based advanced data engineering and analytics consulting firm, and a certified partner of Palantir. We help clients implement and support the most advanced data operations platform: Palantir Foundry

Role Overview:

As a Software Engineer at RANGR Data, you will collaborate with clients to design and deliver comprehensive data solutions tailored to their specific business needs. This role is an excellent opportunity for recent graduates or early-career professionals who are passionate about data and eager to advance their technical expertise in a dynamic environment.

Key Responsibilities:

Collaborate with senior engineers and clients to understand data requirements and objectives. Develop and optimize data pipelines using SQL and Python. Implementation of applications using Palantir Foundry as a data solution platform. Assist in creating and maintaining data models and ontologies. Provide technical support and troubleshooting for data-related issues. Continuously learn and apply new technologies and techniques. Deliver professional communication to clients and team members

Qualifications and Skills:

Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field. Proficiency in SQL, Python, or general data engineering technologies. Strong grasp of data engineering principles. Familiarity with TypeScript or any other programming languages is preferred. Strong analytical and problem-solving skills

What We Offer:

Competitive salary with benefits and long-term incentives. Flexible, remote work environment. Professional growth through continuous learning and development Access to innovative projects and technologies that will develop you into a world-class data engineer

Time Zone Availability:

Since you will primarily be supporting our US-based clients, you will be expected to be available by email and Microsoft Teams to respond to client requests that are time sensitive, between 2pm and 10pm South Africa time. Most days we do not anticipate that there will be late requests. Your actual work hours (40 hours per week) may differ from these times according to when you prefer to work your hours. However, RANGR Data will need to ensure your time zone difference does not impact the performance of our services.



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