ZipRecruiter

Log In

1

Data Log Engineer Jobs (NOW HIRING)

Hyliion

Advanced Engineer, Additive Process

Austin, TX · On-site

Engineers in this group work across machine behavior, process optimization, material performance ... Work with sensor data, log files, and monitoring systems to correlate in-process signatures with ...

Hyliion

Advanced Engineer, Additive Process

Austin, TX · On-site

Engineers in this group work across machine behavior, process optimization, material performance ... Work with sensor data, log files, and monitoring systems to correlate in-process signatures with ...

V2X

Data Engineer

Herndon, VA · Hybrid

$117K - $141K/yr

Experience in analyzing log data from various network components and operating systems * Knowledge of complex environments involving shared networks and multiple security enclaves * Systems Engineer ...

Globalstar

Software Engineer - C++

San Diego, CA · On-site

The solution is engineered for mission-critical environments where reliability, scalability, and ... data log collectors. You will participate in and enhance software processes, including design ...

ReliaQuest

GreyMatter Specialist

Tampa, FL · On-site

... and engineering health alerts to ensure optimal performance. Integrate and configure log sources for existing customers. Troubleshoot and resolve issues related to data parsing and ingestion to ...

Everseen

DevOps Engineer III

Herndon, VA · On-site

$54.25 - $74.25/hr

... s Engineer III, you will be part of the L3 support team for Operations across Edge/on-prem and ... Analyzes and collects data: log files, application stack traces, thread dumps etc. * Reproduces and ...

ReliaQuest

GreyMatter Specialist

Dublin, GA · On-site

... engineering health alerts to ensure optimal performance. * Integrate and configure log sources for existing customers. * Troubleshoot and resolve issues related to data parsing and ingestion to ...

ECS

Data Engineer

Ashburn, VA · On-site

$145K - $160K/yr

Supports Tier-2 and engineering teams by performing basic log review, triage steps, and documented remediation actions for data ingestion or transformation failures. * Updates technical documentation ...

ReliaQuest

GreyMatter Specialist

Las Vegas, NV · On-site

... and engineering health alerts to ensure optimal performance. Integrate and configure log sources for existing customers. Troubleshoot and resolve issues related to data parsing and ingestion to ...

previous page

Showing results 41-60

All JobsData Log Engineer Jobs

Data Log Engineer information

See salary details

$44.5K

$129.7K

$177.5K

How much do data log engineer jobs pay per year?

As of Sep 14, 2026, the average yearly pay for data log engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What are popular job titles related to Data Log Engineer jobs?

For Data Log Engineer jobs, the most frequently searched job titles are:

Infographic showing various Data Log Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Azure Data Engineer - Charlotte, NC 28202

Charlotte, NC • On-site

Amicis Global
See more jobs at Amicis Globalexternal

$60 - $66/hr

Contractor

Re-posted 16 days ago

Job description

Role Description:
*** Group is seeking a Cyber Security Engineer – Data Engineer, Associate to join the Cyber Security Operations team. This role will help strengthen the Bank’s monitoring, detection, and response capabilities by building, onboarding, and maintaining high-quality security data pipelines across cloud and on-premises environments. The successful candidate will partner with application, infrastructure, security, and governance teams to ensure critical telemetry is collected, normalized, validated, and made available for threat detection, incident response, compliance, and cyber risk visibility.
This is a hands-on engineering role for a candidate who is comfortable working with large volumes of security telemetry, solving complex data quality issues, and improving the reliability, scalability, and efficiency of log ingestion and data integration processes. The role requires strong technical execution, attention to detail, and the ability to collaborate across global teams in a highly regulated financial services environment.
 
Role Responsibilities:
Design, build, and maintain scalable data ingestion pipelines for onboarding security log sources into SIEM and cloud data platforms, including Azure Data Explorer and Log Analytics.
Parse, normalize, transform, and enrich structured and unstructured log data using techniques such as regex, JSON parsing, schema mapping, and data validation.
Partner with application owners, infrastructure teams, cloud teams, vendors, and security stakeholders to onboard new log sources and confirm end-to-end data flow.
Validate log integrity, completeness, timeliness, and quality to ensure security telemetry is reliable and fit for monitoring, detection, response, and reporting use cases.
Align onboarded data to organizational standards, schemas, naming conventions, and data governance expectations to support downstream analytics and automation.
Troubleshoot ingestion, parsing, transformation, and pipeline issues across diverse log sources, platforms, and environments.
Develop and maintain documentation for log onboarding procedures, data mappings, source requirements, pipeline configurations, and operational support processes.
Collaborate with detection engineering and SOC teams to ensure onboarded logs support threat detection, investigation, response, and cyber risk visibility requirements.
Conduct telemetry gap analysis to identify missing, incomplete, or underrepresented data sources and recommend onboarding priorities to improve security coverage.
Support logging and data collection practices that align with regulatory, audit, compliance, retention, and integrity requirements.
Improve ingestion frameworks, automation, and onboarding workflows to increase efficiency, repeatability, scalability, and cost effectiveness.
Support infrastructure-as-code, scripting, and automation approaches where appropriate to streamline deployment and ongoing maintenance.
Monitor pipeline performance and partner with stakeholders to optimize ingestion reliability, throughput, and cost efficiency.
Stay current on emerging logging standards, telemetry formats, cybersecurity data engineering practices, and cloud security data platform capabilities.
 
Qualifications and Skills:
Minimum of 3 years of relevant experience in cybersecurity, data engineering, log management, security operations, or a related technology discipline.
Hands-on experience onboarding, managing, and validating log sources in SIEM, cloud data platforms, or security analytics environments.
Strong understanding of data parsing, normalization, transformation, and validation techniques, including regex, JSON, XML, CSV, and structured and unstructured data handling.
Familiarity with common security telemetry sources, including network, endpoint, identity, application, cloud, and infrastructure logs.
Experience with cloud platforms and associated logging, monitoring, and analytics services.
Strong troubleshooting and problem-solving skills related to data pipelines, ingestion flows, schema issues, and data quality defects.
Understanding of compliance and regulatory expectations related to logging, retention, auditability, and data integrity.
Experience with scripting or automation tools such as Python, PowerShell, or similar technologies is preferred.
Familiarity with query languages used to validate, investigate, and analyze ingested data.
Ability to plan, coordinate, and execute onboarding efforts across multiple internal teams, vendors, and stakeholders.
Ability to balance operational support responsibilities with project-based delivery and continuous improvement efforts.
Strong attention to detail, commitment to data quality, and ownership of outcomes.
Experience in broader cybersecurity disciplines, including threat detection, incident response, vulnerability management, or cloud security, is a plus.
Ability to work effectively and collaboratively in a global team environment.
Strong communication skills, sound judgment, and a high degree of accountability.