Data Engineer
About The Position
Reliance Health is hiring a Data Engineer to build a foundational data platform supporting the business’s core data use cases. The role develops scalable, efficient, and robust pipelines using strong coding practices, multi-source ingestion, and ML model orchestration. The ideal candidate is analytical, curious, collaborative, and attentive to detail, helping create data infrastructure that delivers reliable, high-impact business outcomes. The Data Engineer will build and maintain ingestion pipelines and ETL/ELT processes, produce clearly defined and usable tables for business problem-solving, uphold code quality across data teams, and optimize processing costs. The role also develops orchestration, version control, lineage, and CI/CD systems, and works with technical and non-technical colleagues to translate requirements into action and establish appropriate ways to use generated data.
Requirements
- Bachelor’s degree or higher.
- At least 3 years of proven data engineering experience post-NYSC.
- Strong SQL skills, including hands-on experience querying and joining large datasets.
- Proficiency in Python.
- Experience with version control tools such as Git.
- Experience with Terraform for infrastructure management and access management control.
- Strong communication skills for technical and non-technical audiences.
Nice To Haves
- Direct experience in healthcare, health insurance, or insurance.
Responsibilities
- Build robust pipelines to ingest data from a variety of sources.
- Continuously improve and maintain ETL/ELT processes, ensuring the business has clearly defined, highly usable tables for solving business problems.
- Ensure code committed by other data departments meets a good standard.
- Optimize processes to keep data processing costs controlled.
- Build orchestration, version control, and lineage systems to identify bottlenecks and support a robust CI/CD process.
- Translate non-technical requirements into actionable work.
- Work with engineers to establish the right way to use generated data.
Benefits
- Remote-first environment; work from anywhere.
- Competitive salary and benefits.
- Premium health insurance for the employee and family.
- Unlimited leave.
- Opportunity to contribute to customer experience and healthcare innovation.
- Collaborative, inclusive, team-focused work culture that celebrates diversity.
- Growth opportunities, including tools, mentorship, and resources.
- Learning and development allowance.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
