Senior Staff Engineer - Data Engineer

Company Description We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale — across all devices and digital mediums, and our people exist everywhere in the world (18000+ experts across 36 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That is where you come in!

Job Description We are seeking a highly skilled and motivated Data Engineer / Analytics Engineer to design, build, and maintain scalable data solutions. The ideal candidate will have strong expertise in SQL and Snowflake, hands‑on experience with modern data tooling, and a passion for automation, analytics, and collaboration.

Key Responsibilities

Design, develop, and optimize complex SQL queries and data models in

Snowflake

Build and maintain

ELT/ETL pipelines

using best practices in data warehousing

Develop

Python scripts

for automation, data processing, and API integrations

Work with

AWS services

such as Glue, Lambda, S3, and CloudFormation to support data workflows

Implement and manage data transformations using

dbt , including testing and documentation

Design and maintain data warehouse schemas (star, snowflake, and other dimensional models)

Integrate and consume

REST APIs , handling CRUD operations efficiently and securely

Collaborate with analytics, product, and engineering teams to deliver reliable data solutions

Use

Git

for version control and contribute to

CI/CD pipelines

for data and code deployments

Monitor, troubleshoot, and optimize data pipelines for performance and reliability

Required Skills & Qualifications

Strong proficiency in

Advanced SQL , with extensive

Snowflake

experience

Solid experience with

Python

for scripting, automation, and API integrations

Hands‑on experience with

AWS

(Glue, Lambda, S3, CloudFormation, or similar services)

Strong understanding of

data warehousing concepts , including modeling, schema design, and ETL/ELT

Practical experience using

dbt

in production environments

Familiarity with

Git

and modern

CI/CD practices

Understanding of

REST APIs

and CRUD operations

Strong analytical thinking, problem‑solving skills, and attention to detail

Excellent communication skills and a

collaborative mindset

Qualifications Must have Skills: Snowflake, ETL Concepts (Strong), DBT

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