ZipRecruiter

Log In

1

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

Leidos

Test Engineer

Shiloh, IL · Hybrid

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 ...

Leidos

Test Engineer

Shiloh, IL · On-site

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 ...

Leidos

Test Engineer

Scott Air Force Base, IL · On-site

$92K - $166K/yr

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 ...

previous page

Showing results 41-60

All JobsFull Stack Data Engineer JobsFull Stack Data Engineer Jobs in Marissa, IL

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 9, 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:
Full Stack Data Engineer jobs near you

Senior Elastic Engineer (Scott AFB) with Security Clearance

Zachary Piper Solutions, LLC

Scott Air Force Base, IL • On-site

$190K - $230K/yr

Other

Re-posted 8 days ago

Job description

Zachary Piper Solutions is seeking an experienced Senior Elastic Engineer to support a high-visibility federal modernization effort focused on migrating enterprise security logging and observability platforms from Splunk to Elastic. This position will support mission-critical infrastructure at Scott Air Force Base, IL, where the selected engineer will lead Elastic architecture, Kubernetes deployments, and custom data ingestion solutions within a secure DoD environment. The ideal candidate will have deep expertise with the Elastic Stack, Kubernetes/ECK deployments, and designing scalable, production-grade logging and security platforms. SECRET CLEARANCE REQUIRED Key Responsibilities
Design, deploy, and maintain enterprise Elastic Stack environments supporting security logging, search, and observability.
Lead migration efforts from Splunk to Elastic while ensuring minimal operational disruption.
Build and implement custom data ingestion pipelines for enterprise security and operational data.
Configure and manage Index Lifecycle Management (ILM) policies and data retention strategies.
Deploy and administer Elastic Cloud on Kubernetes (ECK) environments using Kubernetes operators.
Optimize Elastic cluster performance, scalability, reliability, and availability across production environments.
Troubleshoot complex Elastic infrastructure, Kubernetes, and distributed system issues.
Support security-focused logging, SIEM integrations, and enterprise observability initiatives.
Develop automation and operational best practices for Elastic platform administration.
Maintain technical documentation, deployment standards, and operational procedures. Qualifications
7+ years of experience supporting Elastic engineering, platform engineering, Site Reliability Engineering (SRE), or infrastructure engineering.
Strong hands-on experience designing and administering enterprise Elastic Stack environments.
Experience building custom data ingestion pipelines and managing large-scale logging platforms.
Advanced Kubernetes experience with Elastic Cloud on Kubernetes (ECK) deployments preferred.
Experience troubleshooting complex Elastic architectures and distributed environments.
Ability to work onsite at Scott Air Force Base, IL.
Active Secret Clearance required (Interim Secret or Interim Top Secret may be considered). Nice-to-Haves
Experience leading Splunk-to-Elastic migration projects.
Experience supporting SIEM, security logging, and enterprise observability platforms.
Familiarity with Kubernetes operators and containerized infrastructure.
Experience supporting DoD, federal, or classified environments.
Elastic certifications (Engineer, Security, or Observability). Soft Skills
Strong analytical and problem-solving abilities.
Ability to independently design and implement complex Elastic solutions.
Comfortable working in fast-paced, mission-critical environments.
Excellent communication and collaboration skills across engineering and government stakeholders.
Self-motivated with the ability to work independently while supporting a highly technical team. Compensation & Benefits
Compensation: $190,000–$230,000 annually.
Fully funded, long-term federal engagement supporting a major enterprise modernization initiative.
Opportunity to lead a high-impact Splunk-to-Elastic migration for a mission-critical DoD customer.
Relocation assistance available (approximately $5,000+)

Apply