Jobs · Information Technology · Texas

Sr. Data Engineer

ChatGPT Jobs · Irving, TX · 6 days ago
Information Technology$141k–$184k/yrFull-time

Job Duties

  • Aid and lead the design, development, and maintenance of scalable, high-performance data solutions supporting analytics, AI, and business intelligence.
  • Design and document technical requirements for data flows between operational systems and data warehouse.
  • Support end-to-end development of ETL/ELT processes using Apache Spark on Databricks.
  • Ingest data into data lakes and warehouses; implement Delta Lake for transactional integrity; orchestrate batch and streaming data pipelines.
  • Collaborate with cross-functional technology teams to extract, transform, and load data from various sources, build and optimize data models, and maintain software applications.
  • Explore and integrate emerging AWS technologies to enhance data engineering capabilities.
  • Write complex SQL queries for data validation and transformation; manage Databricks workspaces, clusters, and jobs.
  • Support data quality initiatives and ensure compliance with governance and security policies.
  • Participate in development and operationalization of machine learning and generative AI applications.
  • Troubleshoot production workflows, refactor legacy systems, participate in code reviews, and mentor junior engineers.

Requirements

  • Master’s Degree in Computer Science or related field and seven (7) years of experience in the job offered or a related occupation.
  • Experience must include seven (7) years in the following skills:
  • Data engineering with Databricks and AWS
  • Apache Spark, SQL, and Python or Scala
  • Delta Lake, Unity Catalog, and cloud data warehouses (e.g., Redshift)
  • Data modeling, ETL/ELT processes, and data governance
  • Orchestration tools including Gitlab or Bitbucket and CI/CD practices
  • Collaborating with cross-functional teams to deliver data solutions using Python and Databricks in Agile environments
  • Designing and optimizing scalable data pipelines with Python and Spark in Databricks
  • Developing modular, reusable components in Databricks notebooks and workflows
  • Implementing data validation frameworks to ensure pipeline accuracy and consistency

Pay

$141,336 - $184,400/year

Contact

To apply, please send resumes to [email protected]. Reference #: 002115.

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