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Temporal Software Engineer Jobs in Dallas, TX (NOW HIRING)

Deep familiarity with the full Software Development Life Cycle (SDLC) and CI/CD best practices ... Temporal Data Modeling: Managing state changes over time (e.g., SCD Type 2). b. c. d. Schema ...

Data Annotator

Irving, TX · On-site

$109K - $132K/yr

... Ensure temporal consistency and correct semantic labeling throughout data sequences. - Provide ... software (e.g., CVAT, Labelbox, Scale AI, Supervisely, V7, Encord). - Ability to analyze and ...

... software engineering practices. This role is part of a dedicated automation initiative, with ... Create stateful workflow orchestration using Temporal, ORCA, or similar technologies * Integrate ...

Senior Software Developer

Dallas, TX · Hybrid

$54 - $71.25/hr

... engineer who can take a hard problem from data layer to UI to model gateway and back without ... Drizzle ORM, Temporal, or Redpanda/Kafka in production. * OpenTelemetry beyond surface-level ...

Senior Software Developer

Dallas, TX · Hybrid

$54 - $71.25/hr

... engineer who can take a hard problem from data layer to UI to model gateway and back without ... Drizzle ORM, Temporal, or Redpanda/Kafka in production. * OpenTelemetry beyond surface-level ...

Senior Software Developer

Dallas, TX · On-site

$54 - $71.25/hr

... engineer who can take a hard problem from data layer to UI to model gateway and back without ... Drizzle ORM, Temporal, or Redpanda/Kafka in production. * OpenTelemetry beyond surface-level ...

Senior Automation Network Engineer

Irving, TX · Hybrid

$99K - $131K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Success in this role requires a platform mindset, strong software engineering discipline, and prior ... Hands-on experience with workflow orchestration platforms (Temporal, ORCA, or similar) * Strong ...

Data Annotator

Irving, TX · On-site

$109K - $132K/yr

Audit temporal consistency in vehicle trajectory sequences and ensure correct semantic labeling of ... Desired Skills & Experience - Nice to have Background in Mining Engineering, Geotechnical ...

Data Annotator

Irving, TX · On-site

$109K - $132K/yr

... Audit temporal consistency and semantic accuracy in annotated datasets. - Provide structured ... Preferred/Bonus Qualifications: - Background in Mining Engineering, Geotechnical Engineering ...

Showing results 21-40

Temporal Software Engineer information

See Dallas, TX salary details

$62.8K

$145.9K

$203.3K

How much do temporal software engineer jobs pay per year?

As of Aug 16, 2026, the average yearly pay for temporal software engineer in Dallas, TX is $145,935.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,700.00 and $171,100.00 per year, depending on experience, location, and employer.

What is the difference between Temporal Software Engineer vs Cloud Software Engineer?

AspectTemporal Software EngineerCloud Software Engineer
Required CredentialsBachelor's in CS or related, experience with Temporal SDKsBachelor's in CS or related, cloud platform certifications (AWS, Azure)
Work EnvironmentDeveloping distributed, event-driven applications using TemporalDesigning and deploying cloud-based solutions across platforms
Industry UsageTech companies implementing workflow orchestrationBroad industry use, including SaaS, enterprise, and startups
Search & Comparison IntentFocus on Temporal-specific skills and workflowsBroader cloud infrastructure and deployment skills

In summary, a Temporal Software Engineer specializes in building and maintaining workflow orchestration using Temporal, while a Cloud Software Engineer works on deploying and managing cloud-based applications across various platforms. Both roles require strong programming skills, but their focus areas differ significantly.

What is a Temporal Software Engineer?

A Temporal Software Engineer is a developer who specializes in building, maintaining, and optimizing applications using the Temporal open-source workflow orchestration platform. Temporal enables engineers to manage complex, long-running, and distributed workflows in a reliable and scalable way. Temporal Software Engineers typically design workflows, implement fault-tolerant logic, and help teams automate business processes that require reliability and durability. Their expertise ensures that workflows can recover from failures, maintain state, and handle retries without losing data or process integrity.

What are some common challenges faced by Temporal Software Engineers when designing workflows, and how can they be addressed?

Temporal Software Engineers often encounter challenges such as managing complex workflow dependencies, handling failure recovery, and ensuring workflow scalability. These challenges can be addressed by leveraging Temporal’s robust retry mechanisms, designing idempotent activities, and breaking workflows into smaller, reusable components. Collaboration with DevOps and QA teams is also crucial to ensure workflows are resilient and thoroughly tested in distributed environments.

What are the key skills and qualifications needed to thrive as a Temporal Software Engineer, and why are they important?

To thrive as a Temporal Software Engineer, you need strong software engineering fundamentals, proficiency in distributed systems concepts, and experience with languages like Go, Java, or TypeScript. Familiarity with Temporal's workflow orchestration platform, cloud infrastructure tools, and CI/CD systems is typically expected. Excellent problem-solving, collaboration, and communication skills help in designing resilient workflows and working with cross-functional teams. These skills are crucial for building reliable, scalable solutions that leverage Temporal for complex business processes.

What job categories do people searching Temporal Software Engineer jobs in Dallas, TX look for?

The top searched job categories for Temporal Software Engineer jobs in Dallas, TX are:

What cities near Dallas, TX are hiring for Temporal Software Engineer jobs?

Cities near Dallas, TX with the most Temporal Software Engineer job openings:

Snowflake Developer

Programmers.io

Dallas, TX • On-site

Full-time

Re-posted 27 days ago


Job description

  • Bachelor’s or Masters in Computer Science, Applied Mathematics, Engineering, or a related quantitative field. b. c. d.
  • Experience: Minimum of 3-5 years of professional "hands-on-keyboard" coding experience in a collaborative, team-based environment.
  • Ability to trouble shoot (SQL) and basic scripting experience. Languages: Professional proficiency in Python or Java.
  • Methodology: Deep familiarity with the full Software Development Life Cycle (SDLC) and CI/CD best practices & K8s deployment experience.

2. Core Data Engineering Competencies:

  • Candidates must demonstrate a sophisticated understanding of the following modeling concepts to ensure data correctness during reconciliation:
  • Temporal Data Modeling: Managing state changes over time (e.g., SCD Type 2). b. c. d. Schema Management:
  • Expertise in Schema Evolution (Ref: Iceberg Apache) and enforcement strategies. Performance Optimization:
  • Advanced knowledge of data partitioning and clustering. Architectural Theory: Balancing Normalization vs. Denormalization and the strategic use of Natural vs. Surrogate Keys.

3.Technical Stack Requirements:

  • While candidates are not expected to be experts in every tool, the collective team must cover the following technologies:
  • Extraction & Logic Kafka, ANSI SQL, FTP, Apache Spark Data Formats JSON, Avro, Parquet Platforms Hadoop (HDFS/Hive), Snowflake, Apache Iceberg, Sybase IQ