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Junior Unity Developer Jobs in Charleston, SC (NOW HIRING)

DATA SCIENTIST

Moncks Corner, SC · On-site

$84K - $105K/yr

Provides technical leadership and mentor junior engineers; document frameworks and patterns ... Delta Live Tables, Feature Stores, Databricks SQL/Unity governance; Terraform/Bicep for infra-as ...

Junior Unity Developer information

See Charleston, SC salary details

$22.5K

$83.3K

$128.7K

How much do junior unity developer jobs pay per year?

As of Jul 28, 2026, the average yearly pay for junior unity developer in Charleston, SC is $83,265.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,700.00 and $81,400.00 per year, depending on experience, location, and employer.

What is a Junior Unity Developer job?

A Junior Unity Developer is an entry-level role focused on creating and maintaining interactive applications using the Unity game engine. Responsibilities typically include coding in C#, developing gameplay mechanics, debugging, and optimizing performance. They work closely with designers, artists, and other developers to bring interactive experiences to life. This role is ideal for those with a foundational understanding of Unity and a desire to grow their skills in game or application development.

What typical responsibilities does a Junior Unity Developer have on a project team?

A Junior Unity Developer is often responsible for implementing gameplay features, troubleshooting bugs, and collaborating with artists and designers to bring game elements to life. Day-to-day tasks may include writing and testing scripts in C#, integrating assets, and participating in team meetings to coordinate project milestones. Junior developers also frequently receive mentorship from senior team members and are encouraged to expand their skills through hands-on work and feedback. This role is well-suited for candidates eager to grow their technical and creative abilities in a supportive, collaborative environment.

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

To thrive as a Junior Unity Developer, you need a solid understanding of C# programming, experience with the Unity engine, and basic principles of game development. Familiarity with version control systems like Git and a portfolio of Unity projects are highly valued, while certifications such as a Unity Certified Associate can be advantageous. Strong problem-solving, effective communication, and a collaborative mindset help you integrate successfully with development teams and contribute to project goals. These skills ensure you can efficiently create, troubleshoot, and enhance interactive experiences while adapting to the fast-paced demands of the industry.

What are the most commonly searched types of Unity Developer jobs in Charleston, SC? The most popular types of Unity Developer jobs in Charleston, SC are:
What are popular job titles related to Junior Unity Developer jobs in Charleston, SC? For Junior Unity Developer jobs in Charleston, SC, the most frequently searched job titles are:
What job categories do people searching Junior Unity Developer jobs in Charleston, SC look for? The top searched job categories for Junior Unity Developer jobs in Charleston, SC are:
Infographic showing various Junior Unity Developer job openings in Charleston, SC as of July 2026, with employment types broken down into 81% Full Time, 7% Part Time, 1% Temporary, and 11% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution, with an average salary of $83,265 per year, or $40 per hour.
DATA SCIENTIST

DATA SCIENTIST

SANTEE COOPER

Moncks Corner, SC • On-site

$84K - $105K/yr

Full-time

Posted 7 days ago


Santee Cooper rating

7.4

Company rating: 7.4 out of 10

Based on 10 frontline employees who took The Breakroom Quiz


Job description

Position Description:
Leads complex, enterprise-scale data engineering initiatives, architect cloud-native warehousing solutions, and mentor junior staff. You will design end-to-end ETL/ELT and analytics platforms using Databricks, Informatica, Python, SQL, and cloud services; set and enforce engineering standards; and engage stakeholders to translate business requirements into robust, secure, and performant data products that power analytics, reporting, and ML workflows.
This position is responsible for architecting and delivering cloud-native data platforms and pipelines that provide reliable, governed, and scalable data to the enterprise. Data Engineer III leads migrations to modern cloud warehouses, defines and enforces best practices (ETL design, coding standards, security), and builds modular, reusable components for analytics/reporting/ML. The role optimizes throughput, latency, and reliability, establishes SLAs and observability, and mentors engineers to uplift team capability.
Operates with broad autonomy, collaborating with executive and technical stakeholders to translate requirements into engineering specifications, cost-aware architectures, and operational runbooks. Ensures data governance (lineage, catalog, privacy), compliance, and resilience, while driving continuous improvement across performance tuning, incident response, and reliability engineering.
Essential Job Tasks:
  • Architects and develops enterprise-scale cloud data pipelines and warehousing solutions.
  • Leads migration initiatives from legacy platforms to cloud-native data warehouses.
  • Defines and enforces ETL/ELT design standards, coding practices, and security controls.
  • Builds modular, reusable data components for analytics, reporting, and ML feature pipelines.
  • Optimizes pipeline performance (throughput, latency, reliability) and establish SLAs/monitoring.
  • Provides technical leadership and mentor junior engineers; document frameworks and patterns.
  • Engages stakeholders; translate business requirements into engineering specs and roadmaps.
  • Governs data quality, lineage, and cataloging; ensure compliance with privacy/security policies.

*Will consider Data Scientist II or III
Position Requirements:
Data Scientist II
  • Bachelor's Degree in Computer Science, Engineering, or related discipline + 2 years experience or Master's Degree in Computer Science, Engineering, or related discipline + 1 year experience in data engineering (ETL/ELT, cloud warehousing, analytics) with advanced expertise in Databricks, Informatica, Python, SQL, and cloud data platforms.
  • Must have strong background in cloud data architecture, governance, performance optimization, and technical leadership/communication.
  • Must have experience in the following:
    • Languages and platforms: Proficient in Python and SQL; Databricks (notebooks/jobs) and Informatica (ETL/ELT).
    • Cloud platforms: Hands on with Azure/AWS/GCP; familiarity with storage, compute, IAM, networking basics.
    • Data warehousing: Modeling (dimensional/star), partitioning, Delta/Parquet, medallion architecture; performance tuning.
    • Orchestration and reliability: Job scheduling, retries, alerting; CI/CD basics for data pipelines.
    • Data governance and quality: Validations, profiling, data contracts, lineage/catalog documentation; adherence to privacy/security policies. Collaboration and delivery: Translate stakeholder requirements; produce clear documentation and reproducible code artifacts; manage SLAs.
  • Preferred experience in the following:
    • Orchestration: Airflow/Prefect, event-driven and batch scheduling; SCD patterns, CDC/streaming (Kafka/EventHub).
    • Platform components: Delta Live Tables, Feature Stores, Databricks SQL/Unity governance; Terraform/Bicep for infra-as-code.
    • Integration: APIs, semi-structured/unstructured data (JSON/Avro), file ingestion at scale; federated/virtualized query layers.
    • Domain: Utility/energy datasets (AMI, SCADA), compliance/governance in regulated environments.

Compensation Information:
$84,180 - $105,210 (min. - mid.)
Data Scientist III
  • Bachelor's Degree in Computer Science, Engineering, or related discipline + 5 years experience or master's degree in computer science, Engineering, or related discipline + 3 years experience in data engineering (ETL/ELT, cloud warehousing, analytics) with advanced expertise in Databricks, Informatica, Python, SQL, and cloud data platforms.
  • Must have strong background in cloud data architecture, governance, performance optimization, and technical leadership/communication.
  • Must have experience in the following:
    • Languages and platforms: Advanced Python and SQL; Databricks (Spark, jobs, Delta), Informatica (ETL/ELT).
    • Cloud architecture: Azure/AWS/GCP services for storage/compute/IAM/networking; cost-aware, secure designs.
    • Data warehousing: Dimensional/star modeling, Delta/Parquet, medallion architecture, performance tuning, partitioning/z-ordering.
    • Engineering excellence: CI/CD for data pipelines, environment management (conda/poetry), testing (unit/integration/data tests), observability (logging/metrics/alerts).
    • Data governance and quality: Unity Catalog (or equivalent), lineage, data contracts, DQ checks, privacy/security controls.
    • Leadership and collaboration: Stakeholder management, specification writing, mentoring, documentation of standards and runbooks.
  • Preferred experience in the following:
    • Orchestration: Airflow/Prefect, event-driven and batch scheduling; SCD patterns, CDC/streaming (Kafka/EventHub).
    • Platform components: Delta Live Tables, Feature Stores, Databricks SQL/Unity governance; Terraform/Bicep for infra-as-code.
    • Integration: APIs, semi-structured/unstructured data (JSON/Avro), file ingestion at scale; federated/virtualized query layers.
    • Domain: Utility/energy datasets (AMI, SCADA), compliance/governance in regulated environments.

Compensation Information:
$104,620 - $130,770 (min. - mid.)

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