Senior Data Engineer

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $130k - $190k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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LMI

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1961

📦 Logistics

🏥 Healthcare

🎖️ Defense

Logistics • Healthcare • Defense

LMI is a forward-thinking company that focuses on reimagining the path from insight to outcome through innovative solutions in various sectors, including applied AI and digital health. They provide advanced analytics, engineering support, and performance optimization across defense, health, and civilian markets, with a strong commitment to enhancing mission effectiveness for government clients. With a focus on collaboration and research, LMI aims to drive positive change through its diverse capabilities and partnerships.

📋 Description

• Investigate source systems and data with mission users • Define entities, relationships, and quality expectations needed for applications • Build ingestion and transformation pipelines for structured data, documents, APIs, and operational records • Reconcile inconsistent identifiers and schemas, model useful relationships, and document definitions and assumptions • Implement quality checks, lineage, freshness monitoring, and access controls • Build pipelines that can be tested, monitored, rerun, and safely recovered • Partner with software and AI engineers to serve reliable application data and prepare information for retrieval and analysis • Support initial deployment, resolve data failures, and transfer pipelines, documentation, and operating procedures to sustaining teams

🎯 Requirements

• Strong SQL and Python skills, with production ownership of ingestion, transformation, and relational data modeling • Experience turning inconsistent source data into maintained datasets or data products used by applications or decision-makers • Experience with a production orchestration and transformation stack such as Airflow or Dagster and dbt or SQLMesh, or comparable tools • Experience with schema changes, data quality testing, lineage, permissions, and diagnosis of failed or incomplete pipelines • Software engineering practices for data, including version control, automated tests, CI/CD, and reproducible deployment • Ability to explain data definitions and limitations, work through ambiguous requirements, and collaborate with application engineers and users • Demonstrated use of AI coding tools or agents, with independent review, testing, and security checks of generated code • Travel up to 50% for user engagement, deployment support, and forward deployed delivery • Active Secret Clearance Required • Preferred: Experience with Palantir Foundry pipelines and ontology development, Databricks, or comparable enterprise data platforms • Preferred: Experience with Spark or PySpark, event streaming, document ingestion, entity resolution, or semantic modeling • Preferred: Experience with cloud data services, object storage, and containerized workloads in AWS, Azure, or Google Cloud • Preferred: Experience with defense, intelligence, logistics, manufacturing, supply chain, workforce, or autonomy data and the controls governing its use • Preferred: An active security clearance

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