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Cleared Hybrid Data Engineer (5781)

SMX

Hanover, MD · HybridJob$103–172K/yrSeen 4 days agoSeen in employer's feed 4 days ago

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At a glance

Compensation
$103–172K/yr
Location
Hanover, MDHybrid
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Requirements

Credentials this posting asks for.

Secret clearanceBachelor's degree

Job overview

SMX is hiring a Data Engineer to design, build, and maintain scalable data architecture and pipelines supporting AI, analytics, and reporting. The role transforms raw data into accessible, reliable datasets and works with analysts, AI engineers, software engineers, and business teams. It includes optimizing data systems across cloud and on-prem environments and preparing data for AI/ML, semantic search, analytics, and mission applications.

Skills & qualifications

RequiredNice to have

Skills

PythonSQLJavaSnowflakeAWS RedshiftSparkDatabricksKafkaAzure Data FactoryAWS GlueApache AirflowAWSGCPAzureMulti-Cloud Data PatternsData IntegrationStructured and Unstructured Data IntegrationSchema DesignData ModelingCloud-Based Storage PatternsAI/ML PipelinesVectorizationEmbedding GenerationData GovernanceAccess ControlsSensitive Data ProtectionDevOps/CI-CDMuleSoftReal-Time Data StreamingEvent-Driven Architectures

Qualifications

Bachelor's in Computer Science, Information Technology, Data Engineering4+ Years Data Engineering or Backend Software Engineering ExperienceSecret or Higher Security Clearance

Benefits

Medical Insurance
Paid Time Off
401(k) Match

Full job description

SMX is hiring a Data Engineer responsible for designing, building, and maintaining scalable data architecture that powers our AI, analytics and reporting. Collaborate closely with Analysts, AI Engineers, and Software Engineers to transform raw, unstructured data into high-quality, accessible data pipelines. Optimizing data systems, building them from the ground up, and ensuring peak data reliability and performance. This role is essential for making data accessible, reliable, and usable across the enterprise.

Essential Duties and Responsibilities

  • Design, construct, install, test, and maintain highly scalable data management systems and robust ELT/ETL pipelines across cloud and on-prem systems.

  • Build infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using cloud technologies. Support API strategy, data modeling, and domain-driven data structures.

  • Implement monitoring systems to ensure data integrity, quality, and security across all storage and processing layers. Implement data quality checks, validation, lineage tracking, and metadata management.

  • Prepare and optimize data for AI/ML models, semantic search, analytics, and mission applications.

  • Identify, design, and implement internal process improvements, such as automating manual processes and optimizing data delivery for greater scalability. Automate ingestion and transformation processes using industry-standard tools and patterns. Troubleshoot pipeline issues and optimize for performance and cost.

  • Work with analytics and business teams to understand their data requirements and deliver production-ready datasets. Collaborate with AI engineers and analysts to ensure datasets meet requirements.

Required Skills & Experience

  • Bachelor's degree in Computer Science, Information Technology, Data Engineering

  • 4+ years of progressive professional experience in a data engineering or backend software engineering role

  • Security clearance required (Secret or higher)

  • Strong proficiency in Python, SQL, Java.

  • Experience with cloud data warehouses such as Snowflake and AWS Redshift.

  • Familiarity with distributed computing tools like Spark, Databricks, and Kafka.

  • Experience with Azure Data Factory, AWS Glue, or similar data integration platforms.

  • Experience with workflow management tools like Apache Airflow.

  • Hands-on experience with AWS, GCP, or Azure cloud environments. Familiarity with multi-cloud data ecosystem patterns.

  • Experience integrating structured and unstructured data sources. Knowledge of schema design, data modeling, and cloud-based storage patterns.

Desired Skills & Experience

  • Experience supporting AI/ML pipelines, vectorization, or embedding generation

  • Experience with data governance, access controls, or sensitive data protection

  • Exposure to DevOps/CI-CD patterns for data workflows

  • MuleSoft implementation experience

  • Experience with real-time data streaming and event-driven architectures

The SMX salary determination process takes into account a number of factors, including but not limited to, geographic location, Federal Government contract labor categories, relevant prior work experience, specific skills, education and certifications. At SMX, one of our Core Values is to Invest in Our People so we offer a competitive mix of compensation, learning & development opportunities, and benefits. Some key components of our robust benefits include health insurance, paid leave, and retirement.

The proposed salary for this position is:

$103,000—$171,800 USD

At SMX®, we are a team of technical and domain experts dedicated to enabling your mission. From priority national security initiatives for the DoD to highly assured and compliant solutions for healthcare, we understand that digital transformation is key to your future success.

We share your vision for the future and strive to accelerate your impact on the world. We bring both cutting edge technology and an expansive view of what’s possible to every engagement. Our delivery model and unique approaches harness our deep technical and domain knowledge, providing forward-looking insights and practical solutions to power secure mission acceleration.

SMX is an Equal Opportunity employer including disabilities and veterans.

Selected applicant may be subject to a background investigation and/or education verification.

SMX does not sponsor a new applicant for employment authorization or immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer).

How this job compares

Set against the 5,648 open Data Engineer jobs on Olive Jobs, counted November 2, 2026.

Pay
  • This posting$103–172K/yr
  • Maryland median$122–205K/yr104 salary ranges
  • US median$125–208K/yr4,336 salary ranges

This range's midpoint, $137K, is 17% below the Maryland median midpoint ($166K) — in the middle half of Data Engineer salary ranges in Maryland.

Openings
Olive Jobs lists 130 open Data Engineer jobs in Maryland and 5,648 across the US. 9% of them nationwide are listed as remote or flexible.
Hiring the most in Maryland
Experience
This posting asks for at least 4 years of experience; Data Engineer postings that state a minimum ask for 5 years at the median (4,893 postings).
Education
This posting asks for a bachelor's degree; 2,167 of the 5,648 open Data Engineer jobs (38%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on November 2, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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