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Data EngineerLMI Consulting, LLC • Springfield, Missouri, United States
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Data Engineer

LMI Consulting, LLC
  • US
    Springfield, Missouri, United States
  • US
    Springfield, Missouri, United States
Jetzt Bewerben

Über

Data Engineer Data Engineer role to analyze, manage, and provide insights from organizational databases across USTRANSCOM, located at Scott AFB, IL. This
on-site position
requires robust data management expertise and advanced analytical skills to design and implement efficient data systems while uncovering actionable insights that drive strategic decision‑making.
Responsibilities
Data Product Development
Design, develop, and maintain enterprise data products that provide trusted, discoverable, and reusable data assets for consumers across the organization.
Implement Data-as-a-Product principles, including data ownership, quality, documentation, discoverability, and lifecycle management.
Define and maintain data contracts, schemas, and interface specifications to ensure consistency and interoperability.
Develop and manage metadata, data catalogs, lineage, and governance artifacts supporting enterprise data management.
Data Engineering & Integration
Design and implement scalable data ingestion, transformation, and processing pipelines using modern ETL/ELT methodologies.
Integrate structured, semi-structured, and unstructured data from multiple internal and external sources.
Build and optimize relational, dimensional, and analytical data models that support reporting, business intelligence, operational systems, and advanced analytics.
Maintain a strong understanding of modern data architectures, including data warehouses, data lakes, lakehouses, and data meshes.
Implement data quality controls, validation frameworks, monitoring, and automated testing.
API & Data Services Development
Design, develop, and maintain secure data access and integration services that enable consumers to discover, access, and interact with enterprise data products through standardized interfaces and event-driven mechanisms.
Create reusable data services that enable application integration, analytics, and operational workflows.
Implement API versioning, documentation, security controls, rate limiting, and performance optimization.
Support API lifecycle management and integration with enterprise service platforms and gateways.
Enable data interoperability across cloud, on-premises, and hybrid environments.
Architecture & Solution Design
Translate business and mission requirements into scalable data architectures and technical solutions.
Collaborate with enterprise, solution, and system architects to align data solutions with organizational strategies and technology roadmaps.
Work collaboratively to validate logical and physical data models, reference architectures, and implementation patterns.
Evaluate and recommend technologies, platforms, and frameworks supporting modern data ecosystems.
Cloud & Platform Engineering
Leverage cloud-based data services and platform capabilities to develop, manage, and deliver scalable data products that meet consumer and mission requirements.
Apply functional knowledge of cloud architectures, services, and deployment models to support the integration, operation, and evolution of enterprise data ecosystems.
Design and optimize data pipelines, storage solutions, and processing workflows using cloud-native capabilities to improve data quality, accessibility, performance, and cost efficiency.
Collaborate with platform, security, and DevSecOps teams to ensure data products are deployed, monitored, secured, and maintained in accordance with enterprise standards.
Support implementation of automated testing, deployment, observability, and governance practices that enhance the reliability and usability of data products.
Data Governance & Security
Apply data governance, data management, and cybersecurity best practices throughout the data lifecycle.
Ensure compliance with organizational, regulatory, and security requirements.
Implement appropriate access controls, encryption, auditing, and data protection mechanisms.
Support data stewardship and governance activities across the enterprise.
Qualifications
Bachelor's Degree in Data Science, Information Computer Science, Data Analytics, Computer Science, or a related field of study.
Active Secret clearance (preferred) or ability to obtain one (required).
Experience with Databricks, Palantir Foundry, Snowflake, Microsoft Fabric, Apache Spark, Kafka, Airflow, or similar modern data platforms.
Experience implementing data mesh, data fabric, or domain-oriented data architectures.
Familiarity with OpenAPI specifications, API gateways, and microservices architectures.
Experience supporting AI/ML data pipelines and feature engineering workflows.
Knowledge of data cataloging and governance tools.
Experience working in Agile, DevSecOps, or product-oriented delivery environments.
Experience supporting Department of Defense (DoD), federal, or highly regulated environments.
Familiarity with SQL and one or more programming languages such as Python, Java, Scala, or R.
Experience developing ETL/ELT pipelines and data integration workflows.
Working knowledge of one or more modern data and analytics platforms, such as Databricks, Qlik, Palantir, or similar technologies.
Experience working with and producing meaningful datasets from relational, non-relational and unstructured data.
Experience developing and consuming APIs.
Knowledge of data modeling, data warehousing, and metadata management concepts.
Experience with cloud platforms such as AWS, Azure, or Google Cloud.
Understanding of data governance, security, and quality principles.
Core Competencies
Data Product Management
Data Engineering
API Development and Integration
Data Modeling and Architecture
Data Governance
Systems Integration
Problem Solving and Analytical Thinking
Stakeholder Collaboration and Communication
Typical Deliverables
Enterprise Data Products
Data Pipelines and Integration Services
RESTful/GraphQL APIs
Data Models and Schemas
Data Catalog and Metadata Assets
Data Warehouse/Lakehouse Implementations
Technical Architecture Documentation
Data Quality and Governance Frameworks
Preferred Skills and Characteristics
Experience with data visualization and reporting tools to communicate insights visually.
Experience working with a data warehouse environment preferred.
Proficiency in designing dimensional databases and advanced object/data modeling.
8+ Years of experience.
Salary Target salary range: $76,390.24 - $130,605.48. The salary range displayed represents the typical salary range for this position and is not a guarantee of compensation. Individual salaries are determined by various factors including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances.
Equal Opportunity Employer LMI is an Equal Opportunity Employer. LMI is committed to the fair treatment of all and to our policy of providing applicants and employees with equal employment opportunities. LMI recruits, hires, trains, and promotes people without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, pregnancy, disability, age, protected veteran status, citizenship status, genetic information, or any other characteristic protected by applicable federal, state, or local law. If you are a person with a disability needing assistance with the application process, please contact accommodations@lmi.org.
Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.
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  • Springfield, Missouri, United States

Sprachkenntnisse

  • English
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