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Why this grade
This listing scored 66/100, which is a C. It lost the most ground on pay transparency.
- 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
Kunai builds full-stack technology solutions for banks, credit and payment networks, infrastructure providers, and their customers. Together, we are changing the world’s relationship with financial services. At Kunai, we help our clients modernize, capitalize on emerging trends, and evolve their business for the coming decades by remaining tech-agnostic and human-centered.
We are hiring Data/Software Engineers to join a team driving software and data engineering for a critical initiative for a premier banking client. This is an exciting opportunity to work hands-on with cloud-native technologies and modern architecture.
We are looking for Back-end Engineers with a Data focus, as this team will be building production software and data systems beyond traditional ETL pipelines. Strong programming skills in Python are expected.
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Required Skills:
- 5+ years of experience in application development with strong Python programming skills.
- 4+ years of hands-on experience with AWS cloud services.
- 4+ years working with relational databases, including PostgreSQL, and writing complex SQL queries.
- Experience with data migration activities in cloud environments, focusing on enterprise-scale data movement and transformation.
- Experience working with cloud data platforms such as Databricks and Snowflake to analyze large datasets.
- Familiarity with distributed data processing and batch/stream processing tools such as Apache Spark, Kafka, or AWS Kinesis.
- Experience with workflow orchestration tools like Apache Airflow or similar.
- Familiarity with enterprise ETL pipelines, Data Quality controls, and compliance Governance.
- Practical experience architecting real-time, event-driven data streams using Kafka/OneStream.
- Familiarity with large-scale cloud data warehousing, performance optimization, and modeling within Snowflake and OneLake
Nice to Have Skills:
- Java development experience.
- Experience with AWS Glue or other AWS data integration services.
- Proficiency with UNIX/Linux environments, including basic shell scripting.
- Experience working in Agile teams and knowledge of Agile engineering practices.
- Prior consulting experience or aptitude for client-facing collaborative environments.
Our success over the past 20 years is rooted in our exceptional team, which thrives in a culture of collaboration, creativity, and continuous learning.
We are proud to offer our employees a range of benefits, including competitive compensation, professional development opportunities, and flexible work arrangements, all designed to help them thrive. As we continue to expand, we remain committed to cultivating an environment where people feel valued, have a voice, and are given the tools to grow—both personally and professionally—while pushing the boundaries of innovation in the fintech industry.
Minimum Degree Required:
- Bachelor’s Degree, in lieu of a degree, demonstrating in addition to the minimum years of experience required for the role, three years of specialized training and/or progressively responsible work experience in technology for each missing year of college is required
Originally posted on Himalayas
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Where this listing came from
- 05 Oct 2026 Himalayas first sighting
Seen on 1 board over 0 days.