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Data Engineer and Data Warehouse Engineer

Wise Skulls Corp.
Richardson, TX Other
POSTED ON 12/16/2025 CLOSED ON 2/15/2026

What are the responsibilities and job description for the Data Engineer and Data Warehouse Engineer position at Wise Skulls Corp.?

Job Details

Title: Senior Data Engineer (Google Cloud Platform / Big Data / ETL)
Location: Richardson, TX (On-site)
Duration: 6 months (possibility of extension)
Data Engineering & Warehousing (9 years)
  • 9 years experience and hands on with Data Warehousing.
  • 9 years of hands-on ETL (e.g., Informatica/DataStage) experience.
  • 9 years of Teradata hands-on experience.
  • 9 years working in a cross-functional environment.
Google Cloud Platform & BigQuery (3 years)
  • 3 years of hands-on Big Query.
  • 3 years of hands-on Google Cloud Platform.
  • 3 years of hands-on experience with Google Cloud Platform services such as BigQuery, Dataflow, Pub/Sub, and Cloud Storage.
  • 3 years of hands-on experience building modern data pipelines with the Google Cloud Platform platform.
Data Architecture, Optimization & Pipelines (3 years)
  • 3 years of experience with Query optimization, data structures, transformation, metadata, dependency, and workload management.
  • 3 years of experience in data engineering with a focus on microservices-based data solutions.
  • 3 years of experience with Big Data and cloud architecture.
Programming, Databases & Scripting (3 years)
  • 3 years of experience with SQL, NoSQL.
  • 3 years of experience with Python (or a comparable scripting language).
  • Containerization, CI/CD & Deployment (3 years)
  • 3 years of containerization (Docker, Kubernetes) and CI/CD for data pipeline.
  • 3 years of experience with deployment/scaling of apps in containerized environments (Kubernetes).
Soft Skills & Methodologies
  • Excellent oral and written communications skills; ability to interact effectively with all levels within the organization.
  • Working knowledge of AGILE/SDLC methodology.
  • Excellent analytical and problem-solving skills.
  • Ability to interact and work effectively with technical and non-technical levels within the organization.
  • Ability to drive clarity of purpose and goals during release and planning activities.
  • Excellent organizational skills, including ability to prioritize tasks efficiently with high attention to detail.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Salary : $50 - $60

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