180 applicants

Company

Iterable · 5 hours ago

Senior Data Engineer

United States

Full-time

Remote

Senior Level

$134K/yr - $206K/yr

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Artificial Intelligence (AI)Marketing

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Responsibilities

Own the Spark pipelines at the core of our ML platform in Databricks and optimize for scale, performance, and cost

Determine the best way to handle Iterable’s unique data model, including the intricacies of our customer’s unstructured data

Design end-to-end machine learning systems, including data acquisition, data cleaning, data models, model training, model serving, and evaluation

Build and own the batch and real-time feature stores that house our ML models

Work closely with the Iterable engineering team to improve our machine learning infrastructure and data quality

Build, evaluate, and integrate new models that add intelligence to our core product

Improve our model performance tracking system

Collaborate cross-team and cross-functionally to build data and AI products

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

DatabricksSparkSQLMachine LearningScalaPythonAirflowData StructuresAlgorithmsUnstructured DataData LakesData WarehousesAWSTerraformSaaSML SystemsMarketing TechnologyEmpathetic Communication

Required

You have built and managed highly scalable data processing solutions (e.g. Spark, Flink), data lakes or warehouses (e.g. Databricks, Snowflake), authored queries (SQL), used workflow management (e.g. Airflow), and have experience maintaining the infra that supports these.

You’ve tackled problems involving unstructured data in big data systems.

You understand how different parts of the system work together, from data model to user interface, and have an understanding of distributed computing.

You have a strong understanding of system design, data structures, and algorithms.

Extensive experience with Scala or Python, with a preference for Scala competency.

Demonstrated expertise in how data flows to and from a machine learning tech platform.

Knowledge of statistics, modern and classic machine learning techniques.

You communicate nuanced ideas clearly, whether you're explaining technical decisions in writing or brainstorming in real-time and engage thoughtfully with other perspectives.

Preferred

Experience building and supporting complex and modern end-to-end ML systems, like LLM pipelines.

AWS experience.

Experience in a SaaS environment.

Experience with IaC (Terraform preferred).

Exposure to marketing technology.

Benefits

Paid parental leave

Competitive salaries, meaningful equity, & 401(k) plan

Medical, dental, vision, & life insurance

Balance Days (additional paid holidays)

Fertility & Adoption Assistance

Paid Sabbatical

Flexible PTO

Monthly Employee Wellness allowance

Monthly Professional Development allowance

Pre-tax commuter benefits

Complete laptop workstation

Company

Iterable

Glassdoor

3.5

SaaS, AI-Powered, Customer Communication Platform, Cross-Channel Marketing Platform

Founded in 2013

San Francisco, California, USA

501-1000 employees

https://www.iterable.com/

H1B Sponsorship

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Trends of Total Sponsorships

2023 (8)

2022 (22)

2021 (13)

2020 (5)