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Senior Data Engineer



Data Science
New York, NY, USA
Posted on Friday, June 21, 2024

About CAIS

CAIS is the pioneer in democratizing access to and education about alternative investments and structured notes for independent advisors, asset managers, and bank issuers, empowering them to engage and transact on a massive scale. We believe that the combination of industry-leading technology and human interaction throughout the pre-trade, trade, and post-trade experience delivers superior operational efficiency and a world-class client experience. CAIS provides advisors with a broad selection of alternative investment strategies, including private equity, private credit, real estate, infrastructure, hedge funds, and structured notes. CAIS supports over 34,000 advisors who oversee more than $4.5 trillion in network assets.

Role Overview

We are looking to hire a Senior Data Engineer into our technology team. You will design, develop and automate secure, robust, and high-performing data platform solutions to drive CAIS business growth using Python, Kotlin, Snowflake, DBT and Kubernetes.

Key Responsibilities

  • Design and develop data platform solutions.
  • Automate data pipelines and workflows.
  • Ensure the security and robustness of data solutions.
  • Collaborate with cross-functional agile teams on mission-critical applications.

Skills & Experience Required

  • Degree in Computer Science or Software Engineering, or relevant industry experience.
  • 5+ years of strong programming experience with expertise in extracting and transforming data, object-oriented programming and ability to write easy-to-scale, high-quality code.
  • Strong understanding of AWS and how to create secure infrastructure and data pipelines.
  • Schema design and dimensional data modelling.
  • Proficiency in Python packaging and deployment.
  • Knowledge of Airflow/DAGS and data pipelines.
  • Extensive experience with DBT and Snowflake for data warehousing, demonstrated through the creation and management of complex SQL/ETL/ELT data workflows.
  • Familiarity with cloud-native applications and CI/CD environments.
  • Strong multi-threading and concurrent programming knowledge.
  • Flexibility with programming languages (Kotlin, Java, Python).
  • Experience with Kafka or similar technologies.
  • Proficiency with Terraform.

Highly Advantageous

  • Experience with FiveTran.
  • Knowledge of AI/ML.
  • Skills in Typescript and React.
  • Proficiency with Docker, Kubernetes, and AWS Experience as a software engineer building Java or Kotlin server-side applications.
  • Expertise with Spring, Spring Boot, Spring Data, Spring Security, etc.
  • Designing, building and deploying REST APIs
  • Experience with Gradle/ Maven build tools

CAIS is consistently recognized as a Best Place to Work, and our culture is at the heart of our success. We are committed to fostering an inclusive environment where employees can be their most authentic selves and feel inspired and supported to bring their voice forward to drive community, growth, and innovation. We are an equal opportunity employer, and do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. Learn more about our culture, benefits, and people at

CAIS’ compensation package includes a market competitive salary, a performance bonus, and exceptional benefits. If you are located in New York, New York, the base salary range for this role is $190,000 - $235,000. Actual compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, and specific office location.

CAIS offers a comprehensive benefits package that includes generously subsidized healthcare with 100% employer paid dental and vision insurance, an employer matched retirement plan, wellness programs, and flexible PTO and generous parental leave. Additionally, CAIS offers a hybrid in-office model. For more information on our benefits and career opportunities, please visit our website: