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Data Engineer - PySpark

Highbrow Technology IncRaleigh, North Carolina🇺🇸United States

Quick overview

SeniorityMid Senior
Employment typeFull Time
Work modeHybrid
LocationRaleigh, North Carolina, United States
DockerGCPSQLGitApache SparkAWSETLSnowflakeAirflowApacheBigQueryDatabricksHiveKafkaPythonRedshiftAzureKubernetesAgileCI/CDAzure Data FactoryDelta Lake

Job description

Job Description

Strong PySpark experience is required. Candidates must be visa-independent, eligible to work on W2, and local to Texas

Job Title: Data Engineer - PySpark

Location: Dallas, TX / Raleigh, NC

Experience: 8+ Years

Work Arrangement: Hybrid - Onsite

Employment Type: W2 Only

Job Description

We are looking for an experienced Data Engineer with strong PySpark expertise to design, develop, and maintain scalable data processing solutions. The ideal candidate will have extensive experience in big data technologies, distributed computing, ETL/ELT development, and cloud-based data platforms.

The candidate should be comfortable working with large datasets, building efficient data pipelines, optimizing Spark workloads, and collaborating with cross-functional teams to deliver reliable data solutions.

Required Skills & Qualifications

  • 8+ years of experience in Data Engineering or related roles.
  • Strong hands-on experience with Python and PySpark.
  • Extensive experience with Apache Spark, Spark SQL, and distributed data processing.
  • Strong proficiency in SQL, including complex queries, joins, aggregations, and query optimization.
  • Experience developing and maintaining large-scale ETL/ELT data pipelines.
  • Strong understanding of data warehousing concepts, data modeling, and data lake architectures.
  • Experience working with cloud data platforms such as AWS, Azure, or GCP.
  • Experience with technologies such as Databricks, Delta Lake, Hive, or similar big data frameworks.
  • Knowledge of workflow orchestration tools such as Apache Airflow, Azure Data Factory, or AWS Glue.
  • Experience with Git, CI/CD pipelines, and Agile development methodologies.
  • Strong analytical, troubleshooting, and problem-solving skills.

Preferred Qualifications

  • Experience with streaming data processing using Kafka or Spark Streaming.
  • Exposure to Snowflake, Redshift, BigQuery, or Azure Synapse.
  • Experience implementing data governance and data quality frameworks.
  • Familiarity with Docker, Kubernetes, and cloud-native data engineering solutions.

Work Requirements

  • Location: Raleigh, NC.
  • Hybrid work arrangement with onsite presence required.
  • Must be willing to work on W2.
  • 8+ years of relevant professional experience required.

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