Senior SQL Developer - Snowflake

Kunai; United States; Remote; USD 130,000 - 160,000; Full time

Job summary

Kunai is seeking an experienced Data Engineer to enhance its data platforms and optimize Snowflake performance, which supports immense transaction volumes. The ideal candidate will have a deep understanding of SQL, data warehousing, and cloud environments, and a proven track record of mentoring peers. This role offers a competitive salary, along with opportunities for professional growth within an innovative fintech environment.

Benefits

Competitive compensation

Professional development opportunities

Flexible work arrangements

Qualifications

• Minimum of 6 years as an engineer working with ETL pipelines and query optimization.
• History of mentoring other engineers and code reviews.
• Enterprise-level experience with Snowflake.

Responsibilities

• Drive efficiency and problem-solving with Snowflake usage.
• Communicate with users to optimize workload costs.
• Handle complex SQL tasks such as joins, aggregations, and window functions.

Skills

SQL

Snowflake

AWS serverless environments

Data quality

ETL pipelines

Education

Bachelor’s Degree in Computer Science or related field

Tools

AWS Glue

Hadoop

Spark

BigQuery

Job description

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 seeking Data Engineers with extensive SQL and Snowflake experience who are passionate about marrying data with emerging technologies. You’ll have the opportunity to be on the forefront of building a modern enterprise data platform that powers over $60 billion in annual transaction volume for over 100 million active payment cards for one of the largest credit card issuers in the world.

The emphasis for this role is on driving efficiency and problem solving when it comes to the use of Snowflake. We're looking for ways to control cost by observing various workloads within Snowflake and communicating with various users outside the team how to optimize their usage. In other words, SQL experts.

Basic Qualifications:

• Minimum of 6 years as an engineer working with ETL pipelines, data warehousing, and query optimization.
• A history of mentoring other engineers and code reviews/ paired programming in SQL.
• Enterprise-level experience working in Snowflake.
• Extensive knowledge of AWS serverless environments.
• Understanding of microservices architecture principles, cache, and event streaming.
• Experience with CI/CD pipelines.
• Bachelor’s Degree in Computer Science or a related field.

Preferred Qualifications:

• Python
• AWS Glue
• Big Data tech like Hadoop, Spark, BigQuery
• Prior experience in the financial services industry or highly regulatory environments

Among other things, we are looking at your ability to handle joins, aggregations, window functions, and data quality scenarios.

Salary Range: $130,000 - $160,000 annually for candidates in most US markets. A higher range will be considered for NYC and SF Bay areas.

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.

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