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Software Engineer - Human Data Platforms (Remote)

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Role: Software Engineer - Human Data Platforms (Remote)
Location: Remote (Work from Anywhere)
Job Type: Full-Time
Payout: $140K - $220K/yr
Role Overview:
We are hiring for one of our clients, seeking a Software Engineer (Human Data Platforms) to work on a full-time basis. The role involves designing, developing, and maintaining scalable data platforms that process and analyze human-generated datasets. The position requires expertise in handling large-scale data infrastructure while ensuring performance, reliability, and security.
Key Responsibilities:
- Design, build, and optimize data pipelines to process human-generated datasets at scale.
- Develop and maintain backend services that support real-time and batch data processing.
- Collaborate with data scientists and analysts to ensure data integrity and accessibility.
- Implement monitoring, logging, and alerting systems to maintain platform reliability.
- Contribute to architectural decisions that enhance scalability and performance of data systems.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
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Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Required Skills & Qualifications:
- Proficiency in Python, Java, or Go for backend development.
- Experience with distributed systems, including Kafka, Spark, or similar technologies.
- Knowledge of cloud platforms such as AWS, GCP, or Azure for data infrastructure.
- Familiarity with SQL and NoSQL databases for data storage and retrieval.
- Understanding of data governance, security, and compliance best practices.
- Ability to design and optimize data pipelines for performance and scalability.
- Experience with containerization and orchestration tools like Docker and Kubernetes.
- Strong problem-solving skills and attention to detail in debugging complex systems.


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More About the Opportunity:
This role offers a unique opportunity to work with a global leader in the Software Development | Technology, Information and Internet | Data Infrastructure and Analytics industry, contributing to the development of robust data platforms that power critical business decisions. The position involves solving complex technical challenges in a collaborative, distributed team environment.
Equal Opportunity Employer:
We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.
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