Marathon TS Senior Data Engineering Role

6 days ago


Bethesda, Maryland, United States Marathon TS Inc Full time
Data Engineer Position Description
Marathon TS Inc is seeking an experienced Data Engineer to join our team. As a senior member of the team, you will be responsible for designing, implementing, and maintaining data pipelines. Your expertise in data engineering will enable you to collaborate closely with other infrastructure and network engineers, data scientists, and system engineers on key tasks such as database builds, configuration, administration, and troubleshooting. You will ensure data integrity by employing data engineering best practices and maintain database and data pipeline documentation, data dictionaries, and system diagrams.

Key Responsibilities
* Design and implement data pipelines using various technologies such as Spark, Airflow, Dagster, Prefect, Argocd, Metaflow, Kubeflow, etc.
* Collaborate with other engineers to ensure smooth operation of data pipelines and troubleshoot any issues that may arise
* Develop and maintain high-quality database designs, implementations, and configurations to meet business requirements

Requirements
* Bachelor's Degree and 12 years of prior relevant experience or Masters with 10 years of prior relevant experience. Additional years of experience will be considered in lieu of degree
* Experience with SQL, NoSQL, and vector databases such as MSSQL, MySQL, PostgreSQL, Redis, FAISS, Milvus, Qdrant, etc.
* Experience designing and maintaining ETL and ELT pipelines with technologies such as Spark, Airflow, Dagster, Prefect, Argocd, Metaflow, Kubeflow, etc.
* Experience with DevOps / MLOps, using CI/CD methodology with data pipelines, and cloud-native deployment paradigms
* Must possess TS/SCI clearance with the ability to obtain and maintain TS/SCI with Polygraph
* Experience with database design, implementation, maintenance, monitoring, performance tuning, and optimization
* Expertise in data profiling techniques and understanding the content from both a data quality and business perspective
* Experience with data quality and accuracy evaluation techniques
* Experience with Agile practices
* Development experience with Python
* Experience on data model development, modification and migration, and maintenance.

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