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# Data Platform Engineer

- **Company:** Tradeweb Markets LLC
- **Location:** New York, NY, United States
- **Experience:** Experienced
- **Salary:** $120,000.0 - $170,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Agile Methodology, Airflow, Amazon Web Services, Amazon Elastic Compute Cloud, Amazon S3, C++ (Programming Language), Databases, Data Infrastructure, Extract Transform Load (ETL), Linux, DevOps, Distributed Systems, Identity and Access Management, Python (Programming Language), PostgreSQL, Microsoft SQL Server, MySQL, Open Source Technology, Cloud Services, Standard Sql, Software Engineering, TCP/IP, Rust (Programming Language), Pytorch, Snowflake, Apache Spark, Pandas, Scikit Learn, Kubernetes, Apache Flink, Dask, Apache Kafka, Free and Open-Source Software, Machine Learning Operations, Presto, Stream Processing, Amazon Redshift, Golang
- **Published:** September 5, 2026
- **Apply:** https://www.themuse.com/jobs/tradeweb/data-platform-engineer-59a642

## About the Role

* 2-5 years of experience in a Data Platform Engineering role
 * Strong software engineering experience and working with Python
 * Strong experience working with SQL and databases/engines such as MySQL, PostgreSQL, SQL Server, Snowflake, Redshift, Presto, etc
 * Experience building ETL and stream processing pipelines using Kafka, Spark, Flink, Airflow/Prefect, etc.
 * Familiarity with data science stack: e.g. Juypter, Pandas, Scikit-learn, Dask, Pytorch, MLFlow, Kubeflow, etc.
 * Experience with using AWS/GCP (S3/GCS, EC2/GCE, IAM, etc.), Kubernetes and Linux in production.
 * Strong proclivity for automation and DevOps practices
 * Experience with managing increasing data volume, velocity and variety
 * Agile, self-starter and is focused on getting things done
 * Ability to deal with ambiguity
 * Strong communicator
 * Participate in on-call outside of regular business hours

Nice to have

 * Development skills in C++, Java, Go, Rust
 * Understands TCP/IP and distributed systems
 * Experience managing time series data
 * Familiarity with working with open source communities
 * Financial Services experience

## Description

* Build and run processes that utilize Tradeweb's data platform using such technologies as public cloud infrastructure (AWS and GCP), Kafka, databases and containers
 * Enhance Tradeweb's data science platform based on open source software and Cloud services
 * Build and run ETL pipelines to onboard data into the platform, define schema, build DAG processing pipelines and monitor data quality.
 * Manage and run mission crucial production services.


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