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Open nowPosted 7 hours ago

Software Engineer - Data

Kunai15 open roles

Where
Remote - United States
Work mode
Remote
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Your applicationOpen nowSoftware Engineer - DataKunai · Remote - United States

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Kunai's own form.

The reply lands in your private mailbox

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The clock on this job

Early applications get read.

7.8% of postings close within 7 days. Measured by our own scanner across the market. Kunai postings stay open a median of 17 days.

Share of postings closed within
  1. 1.6%1 day
  2. 3.4%3 days
  3. 7.8%7 days
  4. 14.3%14 days
  5. 33.7%30 days
This job: posted 7 hours ago

Kunai median: 17 days open

The posting

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.

  • 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
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