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Heap Jobs in Texas (NOW HIRING)

Java Developer

Plano, TX · On-site

$48.75 - $63/hr

Knowledge on performance tuning of enterprise level Java/J2EE applications (Web and Application Servers Configuration JVM parameters tuning GC and Heap Size Message Broker) * Experience in ...

Java Developer

Plano, TX · On-site

$48.75 - $63/hr

... Heap Size Message Broker) - Experience in implementing resiliency design patterns using Hystrix Service Mesh or similar frameworks and validation using chaos monkey type frameworks - Excellent ...

Java Developer

Austin, TX · On-site

$51 - $65.75/hr

Experience in performance tuning of the applications including JVM tuning, memory profiling, deadlocks, and heap analysis. * Strong knowledge of customer-facing web application development, HTTP ...

Java Developer

Austin, TX

$51 - $65.75/hr

Experience in performance tuning of the applications including JVM tuning, memory profiling, deadlocks, and heap analysis. * Strong knowledge of customer-facing web application development, HTTP ...

Java Flink with Datastream API

Dallas, TX · On-site

$50.50 - $65.25/hr

Configure heap memory and RocksDB for state management. * Define and set up checkpoints and savepoints for state recovery. * Enable Auto-Pilot capabilities. * Integrate network resources, such as ...

Pull and interpret campaign performance data using tools like Heap Analytics, Google Analytics 4 (GA4), Excel, and internal reporting dashboards; build clear, recurring performance reports for ...

... heap dump generation & analysis - Knowledge on database architecture - Experience in NFR gathering / validating - Experience in Performance Test Design - Proficiency in the following tools (Must) Ø ...

Heap dump analysis - Highly desirable * Oracle DB - Medium level of expertise, * 3-5 years OEM -Desirable * PRPC implementation knowledge - Low level of expertise * Working in a large, fast pace ...

Sr.Java/Camel Developer- Dallas, TX

Dallas, TX · On-site

$56.75 - $72.25/hr

Optimize Java heap settings and Camel thread pools to meet high-throughput requirements and strict operational SLAs. * Security & Compliance: Implement robust encryption, digital signatures, and ...

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Heap information

See Texas salary details

$10

$55

$91

How much do heap jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for heap in Texas is $56.00, according to ZipRecruiter salary data. Most workers in this role earn between $45.91 and $63.37 per hour, depending on experience, location, and employer.

How does a heap data engineer typically collaborate with product and analytics teams to optimize data-driven decision making?

As a Heap Data Engineer, you’ll work closely with product managers and analytics teams to ensure seamless data collection, processing, and accessibility. You’ll translate product requirements into robust data pipelines and help develop tools that allow non-technical stakeholders to extract actionable insights easily. Frequent collaboration involves attending sprint planning meetings, troubleshooting data quality issues, and providing technical guidance on event tracking and schema design. This cross-functional environment fosters a shared responsibility for data accuracy and empowers teams to make faster, more informed decisions.

What are the key skills and qualifications needed to thrive as a heap data analyst?

To thrive as a Heap Data Analyst, you need strong analytical skills, experience with data visualization, and a background in statistics or a related field. Familiarity with tools like Heap Analytics, SQL, and business intelligence platforms such as Tableau or Looker is typically required. Excellent problem-solving abilities, attention to detail, and effective communication help you translate complex data into actionable insights. These skills enable organizations to make informed decisions and optimize user experiences based on data-driven evidence.

What is a heap?

A heap is a specialized tree-based data structure that satisfies the heap property: in a max heap, for any given node, the key is greater than or equal to the keys of its children; in a min heap, the key is less than or equal to its children. Heaps are commonly used to implement priority queues and for efficient sorting algorithms like heapsort. They allow quick access to the largest or smallest element, making them useful for scenarios where such operations are frequent. Heaps are typically implemented as binary heaps, but there are also other variants like Fibonacci heaps.

What is the difference between Heap vs Data Analyst?

AspectHeapData Analyst
Required CredentialsTypically requires knowledge of analytics tools, basic SQL, and data trackingRequires degree in statistics, mathematics, or related field; proficiency in SQL, Excel, and data visualization tools
Work EnvironmentTech companies, product teams, marketing departmentsBusiness, finance, healthcare, and various industries
Industry UsageUsed for tracking and analyzing user behavior and product metricsUsed for interpreting data, generating reports, and providing insights

Heap is a data tracking and analytics platform that helps teams collect and analyze user data automatically, often requiring familiarity with analytics tools. Data Analysts interpret data, create reports, and provide insights, usually with a background in statistics or related fields. While Heap focuses on data collection and event tracking, Data Analysts focus on analyzing and interpreting that data to inform business decisions.

Infographic showing various Heap job openings in Texas as of August 2026, with employment types broken down into 90% Full Time, 1% Part Time, 1% Temporary, and 8% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $116,474 per year, or $56 per hour.

Java Performance Tuning/Dynatrace Expert

Bridge Tech

Irving, TX • On-site

Full-time

Re-posted 22 days ago


Job description

Job Description
5+ years of J2EE Experience
- Analyze and identify areas for system or process performance improvement.
- Experience collecting, analyzing and interpreting
Infrastructure and server metrics: CPU/memory utilization, load average, i/o utilization, swapping, network utilization, etc
Performance metrics: GC collection time, heap utilization, java thread and heap analysis, etc.
- Expert level analysis and tuning expertise with Dynatrace
- Experience with other tools like AppDynamics, CA APM
Additional Information

All your information will be kept confidential according to EEO guidelines.