Why this grade This listing scored 66/100, which is a C. It lost the most ground on pay transparency. See the breakdown
- Description depth 20 / 20 How much the posting actually says about the work, measured in characters of real text.
- Freshness 15 / 15 How recently it was posted. Older postings are likelier to be filled or abandoned.
- Pay transparency 12 / 25 A published salary range, worth more than any other single factor because it is what a candidate cannot find out without applying.
- Remote clarity 8 / 15 Whether "remote" means anywhere, or is quietly restricted to one country.
- Role specificity 6 / 10 Whether the listing is tagged well enough to tell what the role actually is.
- Corroboration 5 / 10 Whether more than one source carries this listing.
Every figure above is arithmetic over the posting itself — its salary field, its text, its age, its tags and how many sources carry it. How the grades work →
Data Science Developer Mid level Full Time
What our Client Value:
- We are a diverse team of free thinkers, and fast movers united to help investors and creators energize the global economy. We are looking for individuals who thrive in a culture of builders and overachievers and embrace high performance, transparent feedback, and a mission-first approach. Our culture shapes our way of working and gets us where we want to be.
- Seek Excellence.
- Be Selective To Be Effective.
- Be Highly Aligned, Loosely Coupled.
- Disagree Transparently.
- Encourage Independent Decision-Making.
- Build Dream Teams.
What You'll Do:
- Proactively manage and maintain data systems based on organizational standards and requirements
- Ensure continuous operation of data systems by performing troubleshooting and conducting remedial actions as needed
- Implement and enforce policies & procedures to carry out data-related BAU tasks to support various business functions and teams
- Implement services, scripts, and pipelines to allow people to access data more easily
What Were Looking For:
- 3+ years of professional experience of managing production databases
- Solid software engineering fundamentals, with experience in using commonly used tooling such as CI/CD, Git, Linux/UNIX
- Strong knowledge of data structures, their implementations, and optimization techniques
- Strong knowledge in SQL and expertise in at least one programming language (preferably Python)
- Experience in stakeholder management
- Experience in utilizing infrastructure-as-code (IaC) tools such as Terraform
Bonus Points:
- Practical experience in working in the FinTech/Finance/Crypto sector
- Hands-on experience with using/managing PySpark/Databricks in production environment
- Experience in utilizing/managing AWS cloud environment & related tooling
- Experience in utilizing/managing Postgres databases in production environment
- Experience in utilizing timeseries databases
- Practical programming experience in Go or Java
What our client can offer:
- Competitive base salary and discretionary bonus
- Competitive paid time off
- Company-paid health and protective benefits for employees and their eligible dependents
- Free virtual coaching sessions through Headspace
- Free daily snacks in-office
- Opportunities to learn about the Crypto industry
- Smart, entrepreneurial, and fun colleagues
- *Benefits may vary depending on location.
Originally posted on Himalayas
Apply for this role Opens himalayas.app — the link as listed; we have not yet verified it is the employer's own page
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Where this listing came from
- 11 Oct 2026 Himalayas first sighting
Seen on 1 board over 0 days.