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Full Time Unity Engineer Jobs (NOW HIRING)

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Job Type Full-time Description Fervo is building the most cost-effective, repeatable geothermal ... Establish and enforce data governance using Unity Catalog - access controls, lineage, data ...

Staff Mobile Engineer

Lehi, UT · On-site

$175K - $230K/yr

Our applications are built for both iOS and Android using Flutter, Rive, and Unity. Who You Are ... Parental leave for any full-time employee (birthing, non-birthing, and adoptive parents) * 15 PTO ...

Data Lake Engineer

Doral, FL · On-site

$109K - $131K/yr

... Full-Time Career Level Staff Education Master's Degree Travel Security Clearance Required TS/SCI ... Databricks platform administration, including workspace configuration, Unity Catalog, cluster ...

... Job Type Full-Time Career Level Staff Education Bachelor's Degree Travel Security Clearance ... Shall implement and manage data governance workflows, ensuring integration with Open Lineage, Unity ...

Your Skills & Abilities (Required Qualifications) * 5+ years of relevant full-time experience; or ... Strong experience with Databricks jobs, workflows, repos, Unity Catalog, and MLflow-based ...

Databricks Architect

Pittsburgh, PA · On-site +1

$62.75 - $82.50/hr

Pittsburgh, PA (Hybrid Preferred) | Remote Considered Type: Full-Time Overview: We are seeking a ... Mentor engineering teams and provide technical leadership. Requirements: * Active Databricks MVP ...

Senior iOS Developer

Spokane, WA · Remote

$60.75 - $78.50/hr

Experience working with the Unity platform * Deep understanding of Objective-C, Swift and iOS ... will be full-time, in our Liberty Lake, WA headquarters, located 15 minutes east of Spokane.

Senior Data Engineer

Austin, TX · On-site

$133K - $188K/yr

Your Skills & Abilities (Required Qualifications) * 5+ years of relevant full-time experience; or ... Strong experience with Databricks jobs, workflows, repos, Unity Catalog, and MLflow-based ...

Senior iOS Developer

Spokane, WA · On-site

$60.75 - $78.50/hr

Experience working with the Unity platform * Deep understanding of Objective-C, Swift and iOS ... will be full-time, in our Liberty Lake, WA headquarters, located 15 minutes east of Spokane.

Showing results 41-60

Full Time Unity Engineer information

What are the key skills and qualifications needed to thrive as a full time Unity engineer?

To thrive as a Full Time Unity Engineer, you need a strong grasp of C# programming, 3D mathematics, and game development principles, typically supported by a degree in computer science or a related field. Familiarity with the Unity engine, version control systems like Git, and experience with tools such as Visual Studio are essential. Creative problem-solving, strong collaboration, and effective communication help engineers excel in fast-paced team environments. These competencies ensure high-quality, performant, and engaging game or application development within the Unity ecosystem.

What are some common challenges faced by full time Unity engineers when working on cross-platform projects?

Full Time Unity Engineers often encounter challenges when optimizing games or applications for multiple platforms, such as PC, console, and mobile devices. Differences in hardware capabilities, input methods, and platform-specific requirements can require significant adjustments in code and asset management. Collaborating closely with QA testers, artists, and platform specialists is crucial to ensure consistent performance and user experience across all devices. Proactively addressing these challenges by staying updated with Unity’s latest features and best practices can greatly enhance project outcomes.

What does a full time Unity engineer do?

A Full Time Unity Engineer is responsible for developing, testing, and maintaining interactive applications and games using the Unity engine. They write code, design gameplay systems, and collaborate with artists and designers to create engaging user experiences. Their work typically involves optimizing performance, debugging issues, and ensuring the software runs smoothly across multiple platforms. Unity Engineers are key contributors throughout the development cycle, from initial prototyping to final release.

Are full time Unity engineer jobs in demand?

Full-time Unity engineer jobs are in high demand due to the growth of the gaming, virtual reality, and augmented reality industries. Employers seek professionals skilled in Unity development, 3D modeling, and C# programming to create interactive experiences across multiple platforms. The role often requires a strong portfolio and knowledge of game design principles.

What is the difference between Full Time Unity Engineer vs Game Developer?

AspectFull Time Unity EngineerGame Developer
Required SkillsProficiency in Unity, C#, 3D/2D developmentProficiency in game engines (Unity, Unreal), programming, design
Work EnvironmentGame studios, tech companies, VR/AR firmsGame studios, independent developers, entertainment industry
CertificationsUnity certifications, programming degreesGame design, programming, multimedia degrees

Full Time Unity Engineers focus on developing interactive applications and games using Unity, often working within tech or entertainment companies. Game Developers have a broader scope, working on various game engines and design aspects. While both roles require programming skills and industry experience, Unity Engineers specialize in Unity-specific tools, whereas Game Developers may work across multiple platforms and engines.

More about Full Time Unity Engineer jobs
What are the most commonly searched types of Unity Engineer jobs? The most popular types of Unity Engineer jobs are:
What job categories do people searching Full Time Unity Engineer jobs look for? The top searched job categories for Full Time Unity Engineer jobs are:
Infographic showing various Full Time Unity Engineer job openings in the United States as of August 2026, with employment types broken down into 92% Full Time, 2% Part Time, and 6% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution.

$109K - $131K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 13 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: $103,000 - $170,000 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.