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Unity Engineer Jobs in Texas (NOW HIRING)

Data Engineer

Houston, TX ยท On-site

$109K - $131K/yr

The Data Engineer, within the Data & AI team, designs, builds, and operates the pipelines, models ... Establish and enforce data governance using Unity Catalog - access controls, lineage, data ...

Software Engineer - Human Motion Data

Austin, TX ยท On-site

$113K - $136K/yr

JOB SUMMARY As a Software Engineer- Human Motion Data, you will leverage your background in ... Leverage game engines (Unreal Engine or Unity) and physics simulators to build simulated ...

Senior Data Engineer

Dallas, TX ยท On-site

$120K - $140K/yr

Senior Data Engineer Location: Coppell, TX Salary Range: $120K-$140K We are looking to bring on a ... Most updates is Unity Catalog for Databricks* -Cloud-based environments (Azure or AWS) -Data ...

Senior Data Engineer

Dallas, TX ยท On-site

$120K - $140K/yr

Senior Data Engineer Location: Coppell, TX Salary Range: $120K-$140K We are looking to bring on a ... Most updates is Unity Catalog for Databricks* -Cloud-based environments (Azure or AWS) -Data ...

Senior Data Engineer

Dallas, TX ยท On-site

$120K - $140K/yr

Senior Data Engineer Location: Coppell, TX Salary Range: $120K-$140K We are looking to bring on a ... Most updates is Unity Catalog for Databricks* -Cloud-based environments (Azure or AWS) -Data ...

Panic Button is seeking a highly experienced and motivated Lead Software Engineer with a strong ... Experience with Unreal Engine 4/5 or Unity Salary Range * $150,000 - $220,000

Senior Data Engineer

Dallas, TX ยท On-site

$120K - $140K/yr

Senior Data Engineer Location: Coppell, TX Salary Range: $120K-$140K We are looking to bring on a ... Most updates is Unity Catalog for Databricks* -Cloud-based environments (Azure or AWS) -Data ...

Senior Data Engineer

Dallas, TX ยท On-site

$120K - $140K/yr

Senior Data Engineer Location: Coppell, TX Salary Range: $120K-$140K We are looking to bring on a ... Most updates is Unity Catalog for Databricks* -Cloud-based environments (Azure or AWS) -Data ...

Lead Software Engineer

Austin, TX ยท On-site

$150K - $220K/yr

Panic Button is seeking a highly experienced and motivated Lead Software Engineer with a strong ... Experience with Unreal Engine 4/5 or Unity Salary Range * $150,000 - $220,000

Panic Button is seeking a highly experienced and motivated Lead Software Engineer with a strong ... Experience with Unreal Engine 4/5 or Unity Salary Range * $150,000 - $220,000

Deep mastery of Unity and C# at the level expected of the most senior VR engineer in the room, backed by a strong portfolio of shipped VR projects. * Demonstrated ownership of the full graphics ...

Senior Data Engineer

Plano, TX ยท On-site

$130K - $135K/yr

Job Title - Senior Data Engineer w/d Databricks and Python Experience (5) Location: Plano, TX and ... Knowledge of data governance tools (Unity Catalog or similar) * Exposure to ML data preparation ...

Software Engineer - Human Motion Data

Austin, TX ยท On-site

$113K - $136K/yr

JOB SUMMARY As a Software Engineer- Human Motion Data, you will leverage your background in ... Leverage game engines (Unreal Engine or Unity) and physics simulators to build simulated ...

Panic Button is seeking a highly experienced and motivated Lead Software Engineer with a strong ... Unity Company : Panic Button is a cross-platform game development studio. Founded in 2007, the ...

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Unity Engineer information

See Texas salary details

$59.4K

$103.6K

$136.8K

How much do unity engineer jobs pay per year?

As of Jul 14, 2026, the average yearly pay for unity engineer in Texas is $103,647.00, according to ZipRecruiter salary data. Most workers in this role earn between $84,425.00 and $122,241.00 per year, depending on experience, location, and employer.

What is a Unity Engineer job?

A Unity Engineer is a software developer who specializes in using the Unity engine to create interactive experiences, such as video games, simulations, and AR/VR applications. They write and optimize code, integrate assets, and implement gameplay mechanics while ensuring performance and stability. Unity Engineers often work closely with designers and artists to bring concepts to life and may also handle debugging and deployment across multiple platforms.

What are some common challenges faced by Unity Engineers in day-to-day work?

Unity Engineers often encounter challenges such as optimizing game performance across different devices, debugging complex interactive features, and integrating assets from multiple sources into a cohesive experience. Balancing creative vision with technical feasibility and tight production schedules can also be demanding. Regular collaboration with artists, designers, and other developers is crucial for ensuring that all elements function smoothly together. By developing strong troubleshooting skills and maintaining open communication within their teams, Unity Engineers can effectively overcome these challenges and contribute to successful project outcomes.

What are the key skills and qualifications needed to thrive in the Unity Engineer position, and why are they important?

To thrive as a Unity Engineer, you need strong proficiency in C# programming, knowledge of computer graphics, and experience with the Unity game engine, usually supported by a degree in computer science or related field. Familiarity with version control systems like Git, 3D modeling tools integration, and possibly Unity Certified Programmer credentials can be advantageous. Excellent problem-solving skills, teamwork, and effective communication help distinguish successful candidates in collaborative development environments. These skills and qualities ensure smooth project delivery, technical quality, and effective coordination with multidisciplinary teams in dynamic, interactive media projects.

What are the most commonly searched types of Unity Engineer jobs in Texas? The most popular types of Unity Engineer jobs in Texas are:
Infographic showing various Unity Engineer job openings in Texas as of July 2026, with employment types broken down into 93% Full Time, 4% Part Time, 2% Contract, and 1% Nights. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $103,647 per year, or $49.8 per hour.
Data Engineer

Data Engineer

Fervo Energy Company

Houston, TX โ€ข On-site

$109K - $131K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 19 days ago


Job description

Job Type
Full-time
Description
Fervo is building the most cost-effective, repeatable geothermal power plants in the world. Scaling that mission depends on a trustworthy, well-governed data foundation that turns raw sensor signals, drilling and completions records, and power plant telemetry into reliable, decision-ready information. The Data Engineer, within the Data & AI team, designs, builds, and operates the pipelines, models, and platforms that move data from the field to the people and systems that act on it - engineers, operators, data scientists, and the analytical and agentic applications built on top.
The Data Engineer owns data products end to end - from ingestion and modeling, through quality, governance, and serving, to monitoring in production. Working across Data Science, AI Engineering, IT Infrastructure, domain SMEs, and business stakeholders, this role establishes reusable patterns for real-time and batch processing, IoT/historian integration, data quality and entity linkage, and self-service analytics on our Azure, Databricks, and Snowflake stack. Success requires strong hands-on engineering depth in distributed data processing, sound data modeling and architecture judgment, and pragmatism about what to ship versus what to defer.
Requirements
Responsibilities
Data Pipeline & Platform Engineering
  • Design, build, and operate scalable batch and real-time/streaming data pipelines on Databricks and Azure Data Factory, landing data in Azure Data Lake Storage (ADLS) and Snowflake
  • Implement the medallion (bronze/silver/gold) architecture using Delta Lake and Delta Live Tables, with reliable incremental processing, schema evolution, and change data capture
  • Build and tune Apache Spark jobs (PySpark/Spark SQL) for large-scale, parallel data processing - partitioning, shuffles, caching, broadcast joins, and cost/performance optimization
  • Ingest and process high-volume IoT and historian data (sensor, SCADA, time-series) via streaming frameworks (Structured Streaming, Event Hubs/Kafka) and micro-batch patterns

Data Modeling, Quality & Governance
  • Model curated, analytics-ready datasets and serving layers that are well-documented, performant, and easy for downstream consumers to use
  • Implement automated data quality frameworks - validation, profiling, anomaly detection, freshness and completeness checks - with clear alerting and remediation paths
  • Build entity resolution and record linkage logic to unify wells, pads, assets, equipment, and events across heterogeneous source systems
  • Establish and enforce data governance using Unity Catalog - access controls, lineage, data classification, and a shared semantic/metadata layer that makes business concepts queryable and trustworthy

Reliability, CI/CD & Production Operations
  • Apply software engineering discipline to data: version control, code review, automated testing, and CI/CD pipelines (Azure DevOps or GitHub Actions) for data and infrastructure
  • Implement monitoring, logging, and observability across pipelines to support debugging, SLA tracking, cost monitoring, and continuous improvement
  • Support production incidents and platform-level issues impacting data pipelines and downstream consumers; develop runbooks and reduce toil through automation

Analytics Enablement & Collaboration
  • Partner with analysts and stakeholders to deliver datasets and semantic models that power dashboards in Power BI and Spotfire
  • Collaborate with Data Science and AI Engineering to provision clean, governed, feature-ready data for ML and agentic workflows
  • Translate domain problems from drilling, completions, production, geophysics, and power plant operations into well-scoped, reliable data products with clear ownership and success metrics

Required Qualifications
  • Bachelor's or Master's degree in Computer Science, Data Engineering, Software Engineering, Information Systems, Applied Mathematics, Physics, or a related technical field - or equivalent practical experience demonstrated through a portfolio of shipped data systems. Master's preferred.
  • 2+ years of hands-on experience building and operating production data pipelines, not just prototypes or notebooks
  • Deep understanding of the Apache Spark framework and distributed, parallel data processing - partitioning, shuffles, joins, caching, and performance tuning at scale
  • Strong programming skills in Python (PySpark) and SQL, including writing testable, maintainable production code
  • Hands-on experience with Databricks, including Delta Lake, Delta Live Tables, and Unity Catalog
  • Experience with Azure Data Factory and Azure Data Lake Storage (ADLS), or equivalent cloud data services with willingness to work in our Azure-first environment
  • Experience with cloud data warehousing on Snowflake (or equivalent: BigQuery, Redshift, Databricks SQL)
  • Experience building both real-time/streaming and batch pipelines (Structured Streaming, Event Hubs/Kafka, or similar)
  • Solid data modeling skills (dimensional, medallion/lakehouse, or normalized) and a track record of building well-documented, consumable datasets
  • Experience implementing data quality, validation, and observability for pipelines
  • Strong Git and CI/CD experience (Azure DevOps or GitHub Actions), including version control discipline, code review, and automated testing
  • Experience delivering data to BI/analytics tools such as Power BI and/or Spotfire

Preferred Qualifications
  • Experience with data governance and cataloging - Unity Catalog, Microsoft Purview, lineage tooling, and semantic/metric layers (Snowflake Semantic Views, Databricks Metric Views, dbt Semantic Layer)
  • Experience with entity resolution / record linkage and master data management across messy, multi-source data
  • Background in time-series data, signal processing, or industrial IoT (MQTT, OPC UA, SparkplugB) and historian systems (Canary, Ignition)
  • Experience with infrastructure-as-code (Terraform preferred) and containerization (Docker)
  • Experience with orchestration tooling (Databricks Workflows, Airflow, ADF pipelines) and dbt for transformation
  • Familiarity with data security and access control patterns - Entra ID, row/column-level security, masking, Key Vault-managed secrets
  • Oil and gas or energy industry experience, including familiarity with drilling, completions, production, geophysics, or industrial historian data
  • Exposure to ML/AI data needs - feature engineering, feature stores, or provisioning data for agentic/LLM applications
  • Experience optimizing cloud data cost and performance at scale

Location
Fervo Energy is headquartered in Houston, TX, with growing offices in Golden, CO, Reno, NV, and Oakland, CA, and Salt Lake City, UT. This position will be eligible for some hybrid work flexibility, but regular in-office presence at the Oakland or Houston office will be required
Compensation & Benefits
Fervo provides a comprehensive suite of benefits including medical, dental, vision, life, short-term and long-term disability, flexible paid time off, and paid parental leave. Additionally, Fervo offers an incentive stock options program, a bonus incentive program, and a 401(k) plan with an employer match.
Fervo Energy is providing the compensation range and general description of other compensation and benefits that the company in good faith believes it might pay and/or offer for this position based on the successful applicant's education, experience, knowledge, skills, and abilities in addition to internal equity and geographic location. Expected Salary: $x - $x based on location and experience.
Fervo Energy reserves the right to ultimately pay more or less than the posted range and offer other compensation, depending on circumstances not related to an applicant's sex or other status protected by local, state, or federal law.
Fervo Energy is an Equal Opportunity Employer and does not discriminate on the basis of race, color, creed, gender, religion, marital status, registered domestic partner status, age, national origin, ancestry, physical or mental disability, medical condition, sex, genetic information, sexual orientation, military and veteran status or any other consideration made unlawful by federal, state, or local laws. It also prohibits unlawful discrimination based on the perception that anyone has any of those characteristics or is associated with a person who has or is perceived as having any of those characteristics. ffice will be required.