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Full Stack Data Engineer Jobs in Marissa, IL (NOW HIRING)

The Digital Modernization sector within Leidos has an opening for a Test Engineer with Data ... the ELK stack (Kafka, Logstash, Elasticsearch, Kibana) focused on integration testing and ...

The Digital Modernization sector within Leidos has an opening for a Test Engineer with Data ... the ELK stack (Kafka, Logstash, Elasticsearch, Kibana) focused on integration testing and ...

Test Engineer

Scott Air Force Base, IL · On-site

$92K - $166K/yr

  • Medical

  • Retirement

  • PTO

Design and implement test strategies for data ingestion, processing, and visualizations in Kibana ... the ELK stack (Kafka, Logstash, Elasticsearch, Kibana) focused on integration testing and ...

Cloud Engineer

Scott Air Force Base, IL · On-site

$69K - $158K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Apply advanced consulting skills and extensive technical expertise, including full industry ... Knowledge of creating and improving continuous automation across multiple technical stacks

Showing results 41-60

Full Stack Data Engineer information

See Marissa, IL salary details

$38.6K

$117K

$165.4K

How much do full stack data engineer jobs pay per year?

As of Aug 16, 2026, the average yearly pay for full stack data engineer in Marissa, IL is $116,990.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,400.00 and $137,200.00 per year, depending on experience, location, and employer.

What is the difference between Full Stack Data Engineer vs Data Scientist?

AspectFull Stack Data EngineerData Scientist
CredentialsBachelor's/Master's in CS, Data Engineering certificationsBachelor's/Master's in CS, Data Science or related fields
Work EnvironmentBuild data pipelines, manage databases, develop APIsAnalyze data, create models, generate insights
Industry UsageTech, finance, healthcare, where data infrastructure is keyResearch, analytics, product development teams

Full Stack Data Engineers focus on building and maintaining data infrastructure, integrating data from various sources, and ensuring data availability. Data Scientists analyze data, develop models, and generate insights. While both roles require strong technical skills, Full Stack Data Engineers are more involved in data pipeline development, whereas Data Scientists focus on data analysis and modeling.

What are the key skills and qualifications needed to thrive as a full stack data engineer, and why are they important?

To thrive as a Full Stack Data Engineer, you need strong expertise in data modeling, ETL processes, and proficiency in both backend (e.g., Python, Java) and frontend (e.g., JavaScript, React) development, often supported by a degree in computer science or a related field. Familiarity with cloud platforms (such as AWS or Azure), big data tools (like Spark or Hadoop), and database systems (SQL and NoSQL) is typically required, and certifications in these technologies are advantageous. Excellent problem-solving, communication, and collaboration skills help you bridge gaps between data, development, and business teams. These skills ensure you can design, build, and maintain scalable data solutions that meet organizational needs efficiently.

How does a full stack data engineer typically balance responsibilities between backend data infrastructure and frontend data presentation tasks?

Full Stack Data Engineers are often required to split their time between developing robust backend data pipelines and creating user-facing tools or dashboards that visualize data insights. This dual responsibility means you'll need to prioritize tasks based on project needs, effectively collaborating with data scientists, analysts, and frontend developers. Communication is key, as you'll bridge gaps between technical teams and business stakeholders, ensuring data flows seamlessly from source systems to end users. Over time, many engineers find opportunities to specialize further or move into leadership roles overseeing data architecture and team strategy.

What is a full stack data engineer?

A Full Stack Data Engineer is a professional who designs, builds, and maintains the entire data pipeline, from data collection and storage to processing and visualization. They work with both the backend infrastructure (such as databases, data warehouses, and ETL processes) and frontend tools (like dashboards or reporting systems) to ensure data is accessible and usable for analytics. Full Stack Data Engineers possess skills in programming, database management, data modeling, cloud platforms, and often data visualization, allowing them to manage every stage of data flow within an organization.

What cities near Marissa, IL are hiring for Full Stack Data Engineer jobs?

Cities near Marissa, IL with the most Full Stack Data Engineer job openings:

Elasticsearch Engineer (Secret Clearance)

Shorepoint Inc.

Scott Air Force Base, IL • On-site

$103K - $136K/yr

Full-time

Medical, Retirement, PTO

Posted 26 days ago


Job description

Who we are:


ShorePoint is a fast-growing, industry recognized and award-winning cybersecurity services firm with a focus on high-profile, high-threat, private and public-sector customers who demand experience and proven security models to protect their data. ShorePoint subscribes to a "work hard, play hard" mentality and celebrates individual and company successes. We are passionate about our mission and going above and beyond to deliver for our customers. We are equally passionate about an environment that supports creativity, accountability, diversity, inclusion and a focus on giving back to our community.


The Perks:


As recognized members of the Cyber Elite, we work together in partnership to defend our nation's critical infrastructure while building meaningful and exciting career development opportunities in a culture tailored to the individuals technical and professional growth. We are committed to the belief that our team members do their best work when they are happy and well cared for. In support of this philosophy, we offer a comprehensive benefits package, including major carriers for health care providers. Highlighted benefits offered: 144 hours of PTO, 11 holidays, 85% of insurance premium covered, 401k, continued education, certifications maintenance and reimbursement and more.


Who we're looking for:


We are seeking anElasticsearch Engineer (Secret Clearance) with expertise in designing, deploying and optimizing Elastic Stack solutions in federal environments. This role supports the delivery of Elastic-based solutions across cloud, on-prem and hybrid infrastructures to enable security operations and data-driven outcomes. The Elasticsearch Engineer will lead technical implementations, support migrations and contribute to scalable architectures while engaging directly with client stakeholders. This is a unique opportunity to shape the growth, development and culture of an exciting and fast-growing company in the cybersecurity market.


What you'll be doing:


  • Architect, deploy and tune Elastic Stack solutions (Elastic Cloud Enterprise (ECE), Elastic Cloud on Kubernetes (ECK), Elastic Cloud) across cloud, on-prem and hybrid environments.
  • Execute legacy security platform migrations, including detection translation (e.g., Search Processing Language (SPL) (ES|QL) Elasticsearch Query Language) and analyst workflow modernization.
  • Design and implement data ingestion pipelines using Elastic Agent, Fleet, Logstash and Beats.
  • Harden deployments for federal compliance, including Transport Layer Security (TLS), Personal Identity Verification/Common Access Card (PIV/CAC), Single Sign-On (SSO) / Security Assertion Markup Language (SSO/SAML), Security Technical Implementation Guide (STIG) and audit logging.
  • Build outcome-driven dashboards and advanced Kibana visualizations.
  • Develop automation using Infrastructure-as-Code (IaC) tools (Ansible, Terraform or equivalent).
  • Communicate technical decisions and trade-offs directly to client stakeholders.
  • Contribute to internal IP, including reusable templates, automation and reference architectures.


What you need to know:


  • Deep understanding of Elastic Stack capabilities and use cases across deployment, security and operations.
  • Knowledge of distributed cluster architecture at scale, including multi-tenant and CCS environments.


Must have's:


  • 6+ years in systems engineering or infrastructure, including 2+ years of production Elastic Stack experience.
  • Proven ability to analyze complex requirements and translate them into clear, actionable tasks and processes through critical thinking.
  • Strong problem-solving skills and a self-starter mentality.
  • Solid written and verbal communication skills.
  • Linux Command-Line Interface (CLI) fundamentals and basic networking knowledge.
  • Hands-on experience with containerization and IaC tooling.
  • Proficiency with at least one major cloud provider.
  • Experience with federal security controls (TLS, SSO/SAML, PIV/CAC, STIG).
  • Proven track record leading engagements from scoping through delivery.
  • Deep knowledge of distributed cluster architecture at scale, including multi-tenant and CCS environments.
  • Ability to drive client relationships and identify expansion opportunities.
  • Applicants must currently hold and maintain an active Secret clearance.


Beneficial to have:


  • Bachelor's degree in Cybersecurity, Computer Science, Information Technology, Engineering or a related field.
  • Elastic certifications (ECE or being on a defined certification track).
  • Elastic Security (SIEM, detection engineering, threat hunting and legacy migration).
  • Detection translation experience (SPL ES|QL or equivalent).
  • Scripting proficiency (Python, Bash or PowerShell).
  • Exposure to AI-augmented search, RAG or semantic search use cases.
  • Prior professional services or consulting experience.


Where it's done:


  • Onsite (Scott Air Force Base).