Senior Data Engineer II

🕒 July 13

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MetroStar

WebsiteLinkedInAll Job Openings

201 - 500 employees

🏛️ Government

🤖 Artificial Intelligence

☁️ SaaS

Government • Artificial Intelligence • SaaS

MetroStar is a Virginia-based IT digital services and solutions provider with a legacy of over two decades. The company specializes in serving government agencies by offering advanced technology solutions, including artificial intelligence, digital experience, application modernization, and enterprise IT. MetroStar is committed to transforming how people, agencies, and tech enthusiasts connect in the digital age and plays a significant role in supporting federal agencies, the defense and intelligence communities, and sectors like agriculture and healthcare. They provide their services through collaboration with agencies like the Air Force and USDA, aiming to propel government missions and enhance digital transformation.

📋 Description

• Work with AI team members to operationalize data pipelines and ML tasks. • Provide day-to-day support of deploying Python-native ML pipelines and perform data engineering tasks to enable AI/ML capabilities. • Present results to a diverse audience in presentation or report form. • Support architectural leadership, technical support, and advisement services to ensure identity management system technologies are integrated and meeting the appropriate security requirements. • Support leadership who engage with senior level executives at a public facing Federal agency and provide subject matter expertise in security architecture and other key domain areas.

🎯 Requirements

• Minimum 7 years' experience in Data/ML Engineering • Bachelor's Degree in Computer Science, Information Technology Management or Engineering, or other comparable degree or experience • Must have an active Secret clearance/T1 background investigation or higher • Strong Experience with ETL, data labeling, and data preparation • Experience with one or more of the following technologies: Cloudera, DataBricks, Snowflake, NiFi, Python, SQL, Kafka • Strong experience designing, developing, and deploying data solutions in classified AWS cloud environments up to IL6+ • Strong experience designing, implementing, and maintaining data architecture and services to be used for AI/ML. Additionally, operationalizing and maintaining AI/ML models in production. • Strong communication skills, ability to communicate technical concepts in both layman and technical terms to technical and non-technical stakeholders

🏖️ Benefits

• Health, dental, and vision insurance • 401(k) retirement plan with company match • Paid time off (PTO) and holidays • Parental Leave and dependent care • Flexible work arrangements • Professional development opportunities • Employee assistance and wellness programs