Data Engineer

Role Overview

As a Data Engineer at Monks, you will design, build, and deploy cloud-native data pipelines and platforms that power marketing analytics, measurement, and activation for our clients. You will collaborate closely with senior engineers, data scientists, and strategists to deliver scalable data solutions on public cloud platforms such as GCP, AWS, or Azure.

What You Will Do

Assist in designing, building, and deploying data pipelines and cloud-native data solutions on platforms such as GCP and AWS. Support the development of ingestion pipelines from marketing and advertising data sources into cloud data warehouses.

Why It Might Be a Fit

If you’re passionate about building the data foundations that power modern digital experiences, we encourage you to apply!

Requirements

• Bachelor’s or Master’s in a quantitative or technical subject such as Computer Science, Software Engineering, Data Engineering, Information Systems, or a related field.
• 1+ years of working experience in data engineering, analytics engineering, or a related field.
• Associate Cloud Certification such as GCP Associate Cloud Engineer, GCP Professional Data Engineer, AWS Solutions Architect Associate, or equivalent.
• Strong proficiency in SQL and Python.
• Solid understanding of data warehousing, ETL/ELT concepts, and modern data stack tools (e.g. dbt, BigQuery, Snowflake).
• Good understanding of APIs, including authentication methods (e.g. API keys, OAuth), with a curiosity to explore and troubleshoot.
• Familiarity with core cloud data services such as Cloud Functions, Cloud Run, Cloud Storage, Pub/Sub, or their AWS equivalents (Lambda, S3, SNS/SQS).
• Awareness of GenAI tools and their applied use in engineering workflows (e.g. Claude Code, Cursor, Copilot).
• Fluent English communication and written skills.
• Strong analytical and problem-solving skills with the ability to work independently and in a team environment.

Benefits

• Dental insurance
• Vision insurance
• Health insurance
• Paid time off
• Retirement plan
• Learning budget
• Parental leave
• Wellness programs
• Visa sponsorship available
• Relocation assistance available

Tagged as: BigQuery, Python, Snowflake, SQL