
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.
đź•’ August 5
🇺🇸 United States – Remote
đź’µ $101.1k - $174.6k / year
⏰ Full Time
🟡 Mid-level
đźź Senior
đźš° Data Engineer
🦅 H1B Visa Sponsor
đź‘» Ghost score 0%
Improve your chances of getting an interview by checking your resume score before you apply.

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.
• 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.
• 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.
• Salaried • High Fringe/Full-Time benefits • Equal employment opportunities • Application-process accommodations for people with disabilities
Apply Nowđź•’ August 5
Senior Data Engineer building cloud and on-premise data warehouse solutions for CVS Health’s healthcare operations. Processing payer files, modernizing workloads, and supporting cloud migrations.
🇺🇸 United States – Remote
đź’µ $102k - $203.9k / year
⏰ Full Time
đźź Senior
đźš° Data Engineer
đź•’ August 5
Data Engineer building Palantir data pipelines and governance tools for Guidehouse’s government and defense clients. Applying industrial engineering and operations research to improve depot performance and modernization decisions.
🇺🇸 United States – Remote
đź’µ $85k - $141k / year
đź’° Grant on 2023-02
⏰ Full Time
🟡 Mid-level
đźź Senior
đźš° Data Engineer
🦅 H1B Visa Sponsor
đź•’ August 5
Senior Data Engineer building Snowflake data platforms for Oowlish, a Latin American software development company. Designing ETL/ELT pipelines, enterprise warehouses, integrations, and high-quality cloud data solutions.
đź•’ August 5
Senior Cost Engineer managing budgets, forecasts, and financial risks for Turner & Townsend’s data center construction projects. Delivering cost control, reporting, and efficiency improvements across the project lifecycle.
đź•’ August 5
Senior Data Architect designing scalable cloud data platforms for AmeriLife, a developer and distributor of insurance and retirement solutions. Governing enterprise models, lakehouses, analytics, AI, and data products.
🇺🇸 United States – Remote
đź’µ $165k - $170k / year
đź’° Secondary Market on 2022-06
⏰ Full Time
đźź Senior
đźš° Data Engineer