Data Software Engineer

Applecart•New York, NY

62d•$130,000 - $160,000•Hybrid

About The Position

As a Software Engineer (Data) on the Identity & Ecosystem team, your mission will be to continually optimize Applecart’s core targeting capabilities. You will join a colocated, hybrid-remote team of skilled and collaborative software engineers dedicated to the continuous delivery of business value.

Requirements

B.S. or M.S. in Computer Science, Data Science, or equivalent engineering degree.
3+ years of experience in data engineering, focusing on the design, implementation, and maintenance of data and data pipelines.
Proficiency in Python or Java
Experience with data warehouse systems (e.g. Snowflake)
In-depth knowledge of engineering methodologies and concepts.
Experience with building & deploying machine learning models & ML pipelines such as Sklearn, Tensorflow, PyTorch, KubeFlow, MLFlow, SageMaker, or similar.
Ability to multi-task simultaneously different projects, having a positive outlook, motivated learner with strong interpersonal and written and verbal communication skills.

Nice To Haves

Familiarity with data engineering tools (e.g., Apache Spark)
Experience with AWS and other cloud technologies including AWS services, such as EMR, Athena, Glue, S3, Kinesis, Lambda, and Sage Maker
Experience with data transformation & ELT pipelines on large data sets using Databricks, SnowFlake, SQL, Python, Jupyter Notebooks.
Experience with the Lakehouse architecture is a strong plus
Experience in defining and implementing Generative AI use cases is a strong plus.

Responsibilities

Design and implement the identity resolution system.
Design and develop data processing pipelines and services that are resilient, highly available and scalable.
Collaborate with business partners, architects, technical leads, product management and analysts to develop high-quality customer centric solutions.
Participate in all aspects of software development activities, including design, coding, code review, unit and integration testing, bug fixing, deploy and code/API documentation.