Data Engineer

🕒 August 5

🇺🇸 United States – Remote

💵 $101.1k - $174.6k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

🦅 H1B Visa Sponsor

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Logo of LMI

LMI

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

• Design, build, operate, and maintain reliable data pipelines for structured and unstructured mission and enterprise data. • Convert historical and operational data into standardized, traceable, machine-learning-ready formats. • Develop and automate batch and real-time ETL/ELT workflows, data integrations, APIs, and orchestration processes. • Design and optimize relational, non-relational, data lake, warehouse, and lakehouse architectures. • Implement data profiling, validation, reconciliation, schema management, metadata, lineage, monitoring, and quality controls. • Collaborate with data scientists, AI/ML engineers, software developers, analysts, and mission stakeholders on datasets for model training, evaluation, deployment, and sustainment. • Provide common support, synchronization, integration, reusable engineering patterns, and best practices across AI/ML teams and data science products. • Apply access controls, encryption, logging, auditing, and handling measures to protect sensitive government data. • Monitor and optimize pipelines, troubleshoot integration issues, provide rapid-response support, and maintain technical, security, operational, and knowledge-transfer documentation, including instructional videos.

🎯 Requirements

• Bachelor's degree in computer science, data engineering, software engineering, information systems, mathematics, engineering, or a related technical field. • Five or more years of professional experience designing, developing, deploying, and sustaining data pipelines, data platforms, databases, or enterprise data integrations. • Experience building production ETL/ELT pipelines and automated workflows using modern data integration, orchestration, version-control, testing, and continuous-integration practices. • Advanced proficiency with Python and SQL, including data transformation, query optimization, scripting, automation, and integration with application or analytical services. • Strong knowledge of data modeling and database architecture across relational, non-relational, object storage, data warehouse, data lake, or lakehouse technologies. • Experience implementing data quality, schema management, metadata, lineage, observability, reconciliation, and repeatable error-handling processes for complex multi-source datasets. • Knowledge of secure data engineering practices, including identity and access management, encryption, logging, auditing, least privilege, and protection of sensitive information. • Experience producing technical documentation, architecture diagrams, interface specifications, operational procedures, and knowledge-transfer materials. • Ability to work independently while collaborating with data science, AI/ML, software, cybersecurity, governance, and operational teams. • Active SECRET security clearance. • Must meet eligibility requirements for a U.S. Government security clearance; only U.S. citizens are eligible for a security clearance.

🏖️ Benefits

• Salaried • High Fringe/Full-Time benefits • Equal employment opportunities • Application-process accommodations for people with disabilities

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