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Cleared Data Engineer (5786)

SMX

Multiple U.S. locationsJob$115–187K/yrSeen todaySeen in employer's feed today

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At a glance

Compensation
$115–187K/yr
Location
Multiple U.S. locations
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 optimize systems for data collection, storage, access, and analytics at scale. The role involves creating accessible data pipelines, maintaining their security and performance, and collaborating with analytics and business teams to transform raw information into reliable data. Candidates must have an active Secret clearance and eight years of relevant professional experience.

Skills & qualifications

RequiredNice to have

Skills

SQLData QueryingData ModelingData MigrationETLCommunicationCustomer InterfaceAI/ML PipelinesVectorizationEmbedding GenerationData GovernanceAccess ControlsSensitive Data ProtectionDevOps/CI-CDDatabricksReal-Time Data StreamingEvent-Driven Architectures

Qualifications

Bachelor's in Computer Science, IT, Data Engineering or Related8 Years Data Engineering or Backend Software Engineering ExperienceActive Secret Security Clearance

Benefits

Medical Insurance
Paid Time Off
401(k) Match

Full job description

SMX is hiring a Data Engineer to design, build, and optimize systems for data collection, storage, access, and analytics at scale

The ideal candidate will analyze and organize raw data, build robust data systems, and explore ways to enhance data quality and reliability. This role involves collaborating with analytics and business teams to transform raw information from different sources into high-quality, accessible data pipelines.

  • Create data pipelines that convert raw data into formats usable by data scientists, data-centric applications, and other data consumers

  • Make data available, accessible, and secure to stakeholders.

  • Ensure data pipelines meet Service Level Agreements and performance standards

  • Monitor data repositories and data pipelines to ensure operational efficiency and take action to address and resolve problems

  • Implement orchestration and automation solution for data pipelines

Required Skills & Experience

  • Bachelor's degree in computer science, - Information Technology, Data Engineering, or a related field.

  • 8 years of professional experience in a data engineering or backend software engineering role.

  • Active Secret security clearance.

  • Strong proficiency in SQL and data query creation.

  • Experience with data modeling, data migration, and ETL functions.

  • Excellent communication skills, both written and verbal, with the ability to interface with customers

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

  • Experience with Databricks

  • 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:

$115,000—$187,000 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 6,059 open Data Engineer jobs on Olive Jobs, counted October 29, 2026.

Pay
  • This posting$115–187K/yr
  • South Carolina median$102–202K/yr28 salary ranges
  • US median$122–208K/yr4,760 salary ranges

This range's midpoint, $151K, is 6% above the South Carolina median midpoint ($143K) — in the middle half of Data Engineer salary ranges in South Carolina.

Openings
Olive Jobs lists 41 open Data Engineer jobs in South Carolina and 6,059 across the US. 9% of them nationwide are listed as remote or flexible.
Hiring the most in South Carolina
  • PwC8 open
  • EY3 open
  • SMX (this employer)3 open
Experience
This posting asks for at least 8 years of experience — more than three in four Data Engineer postings that state a minimum ask for (median 5 years, across 5,287 postings).
Education
This posting asks for a bachelor's degree; 2,772 of the 6,059 open Data Engineer jobs (46%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on October 29, 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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