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Data Engineer
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Based on Texas data
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What they do
A Data Engineer designs, builds and manages the information or big data infrastructure. Develops the architecture that helps analyze and process data in the way the organization needs it. Makes sure those systems are performing smoothly.
$111,705 / year median in Texas
+21% projected growth
Job Description
Data Engineer We are looking for an experienced Data Engineer with 8+ years of experience in designing, developing, and maintaining scalable data solutions. Responsibilities Design and develop data pipelines to process large volumes of data efficiently. Implement ETL/ELT processes to transform raw data into usable formats. Work closely with data scientists and analysts to understand their data requirements. Optimize data storage and retrieval processes for performance and scalability. Collaborate with cross-functional teams to integrate data solutions into business applications. Monitor data pipelines and troubleshoot issues to ensure data quality and reliability. Stay updated on emerging trends and technologies in the data engineering field. Requirements Required Skills 8+ years of experience in Data Engineering. Strong experience with Python and SQL. Hands-on experience with ETL/ELT pipelines and data integration. Experience with Apache Spark, PySpark, and Hadoop. Strong knowledge of data warehousing and data modeling. Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform. Experience with databases such as Snowflake, Redshift, BigQuery, or Databricks. Knowledge of Airflow or other workflow orchestration tools. Experience with Git and CI/CD. Strong problem-solving and communication skills.