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Senior Data Engineer

Role overview

Qualifications

  • Extensive experience with SQL and modern data warehousing solutions, preferably Snowflake.
  • Hands-on experience with dbt for data transformation and modeling.
  • Strong programming skills in Python for data engineering tasks.
  • Proven track record designing and managing ETL processes and scalable data pipelines.

Responsibilities

  • Design, develop, and optimize data pipelines and ETL workflows using SQL, Snowflake, dbt, and Python.
  • Collaborate with data analysts, data scientists, and business stakeholders to understand requirements and translate them into scalable data models.
  • Rapidly learn and familiarize yourself with existing and new data models to maintain and enhance data infrastructure.
  • Ensure data quality, consistency, and reliability across pipelines and data stores.

Key facts

Other skills

  • Analytical Skills
  • Problem Solving
  • Communication

About the company

Kunai logo

Kunai

IT Services & IT Consulting

Kunai Co. is a team of developers, designers, and product managers building seamless customer experiences that unite digital products with FinTech. Kunai concepts, designs, and develops unique digital products and payment experiences for the world's top companies. Starting in 1999, Kunai helped Cisco Systems prepare for Y2K, and then in 2006, built the world's first touchscreen PC. Later, Kunai designed and developed some of the world's first successful iOS apps. With Capital One’s acquisition in 2015, we focused on fintech and how to build on a massive scale, so a portion of our team rebranded as Kunai and continued to refine our approach to product development. Over 20 years, Kunai shipped over 150 digital products that are trusted by Fortune 500 companies and unicorn startups alike. Kunai's founders, being former bank executives, started the company with the insights of years-long struggles to hire developer talent. As a result, only the top 3% of developers worldwide make it onto a Kunai team. What we do: Technical Staffing: The Kunai Direct Sourcing Platform helps companies to find, vet, interview, and onboard the world’s best developers. Kunai works on a range of technologies and platforms and has deep experience in fintech and leverages industry-leading APIs and practices. Digital product development for fintech: Kunai understands the unique needs of financial services companies. We're a digital product development consultancy focused on fintech. Kunai handles product management, design, development, cloud management, and much more to build your next new idea into a prototype faster. We build long-term relationships with our clients. Our portfolio includes all four major payment networks, four top ten US banks, seven Fortune 500 technology companies, and ten unicorn startups. If you have an idea and need a team that can make it a reality, we should talk.

Company details

Company typeScaleup
IndustryIT Services & IT Consulting
Company size201 - 500

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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 seek a Senior Data Engineer with strong expertise in SQL, Snowflake, dbt, ETL processes, as well as Python. Candidates will be responsible for designing, building, and maintaining scalable data pipelines and models, with an emphasis on quickly ramping up on existing and new data models to support analytics and business intelligence efforts.

Key Responsibilities:

  • Design, develop, and optimize data pipelines and ETL workflows using SQL, Snowflake, dbt, and Python.
  • Collaborate with data analysts, data scientists, and business stakeholders to understand requirements and translate them into scalable data models.
  • Rapidly learn and familiarize yourself with existing and new data models to maintain and enhance data infrastructure.
  • Ensure data quality, consistency, and reliability across pipelines and data stores.
  • Monitor, troubleshoot, and improve performance of data pipelines and query workloads

Required Qualifications:

  • Extensive experience with SQL and modern data warehousing solutions, preferably Snowflake.
  • Hands-on experience with dbt for data transformation and modeling.
  • Strong programming skills in Python for data engineering tasks.
  • Proven track record designing and managing ETL processes and scalable data pipelines.
  • Ability to quickly understand and work with complex data models.
  • Strong analytical, problem-solving, and communication skills.

 

 

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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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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