Data Engineer

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Please note that we will never request payment or bank account information at any stage of the recruitment process. As we continue to grow our teams, we urge you to be cautious of fraudulent job postings or recruitment activities that misuse our company name and information. Please protect your personal information during any recruitment process. While Monks may contact potential candidates via Linked In, all applications must be submitted through our official website ().

As a Data Engineer, you’ll architect, develop, and test large‑scale and efficient solutions that provide the leadership team with the accurate data required to rapidly understand and adapt to changing business conditions. We are seeking an experienced, detail‑minded data engineer to support our clients worldwide business sales and finance team.

• Design and implement scalable, efficient and high‑quality methods of consuming data from a diverse set of sources with variable quality and predictability.
• Build libraries and frameworks that drive leverage and productivity for the entire team.
• Optimize and maintain solutions, driving improvements in efficiency, data quality, and operational excellence.

• 14+ years of experience.
• Deep Snowflake expertise.
• Experience working with and creating large (5‑10bn record, ~200 column wide) aggregate datasets.
• Python for orchestration.
• S3 / Data Lake / Open Data Formats (e.g. Parquet, Iceberg).
• DBT experience.

• Experience with Dataiku.
• Experience with Dremio.

At Monks, we believe in fostering an environment where a diversity of perspectives can thrive. We proactively work to design hiring processes that promote equity and inclusion while mitigating bias. We celebrate diversity and are committed to building a team that reflects the communities we serve. We welcome and encourage qualified applicants, from all backgrounds, who are excited to contribute to our mission.

Monks has provided a compensation range that represents our good faith estimate of what Media.

Monks may pay for the position at the time of posting. Monks may ultimately pay more or less than the posted compensation range. The salary offered to the selected candidate will be determined based on job‑related factors, but not based on a candidate’s sex or any other protected status.

Salary range
$ — $ USD

Location
Austin, TX

Mid‑Senior level

Full‑time

Information Technology

Advertising Services

We are an equal‑opportunity employer committed to building a respectful and empowering work environment for all people to freely express themselves among colleagues who embrace diversity in all respects. Including fresh voices and unique points of view in all aspects of our business not only creates an environment where we can all grow and thrive but also increases our potential to produce work that better represents—and resonates with—the world around us.