Data Engineer (PySpark & Python)

Highbrow Technology Inc; Dallas (TX); On-site; USD 140,000 - 200,000; Full time

Job summary

Highbrow Technology Inc. in Dallas, TX seeks an experienced Data Engineer with strong PySpark to design and maintain scalable data processing solutions. The role focuses on building end-to-end data pipelines and optimizing Spark workloads within a cloud-first environment.

You will collaborate with data scientists and analytics teams, work with Delta Lake, Hive, and Databricks, and implement robust ETL/ELT processes using Airflow and CI/CD practices.

Qualifications

• 8+ years of data engineering experience.
• Strong Python and PySpark hands-on experience.
• Expertise in Apache Spark, Spark SQL, and distributed processing.
• Proficient in SQL with complex queries and performance tuning.
• Experience with ETL/ELT pipelines, data warehousing, and data lake architecture.
• Experience with cloud data platforms (AWS, Azure, or GCP).
• Familiarity with Databricks, Delta Lake, Hive or similar big data tech.
• Knowledge of workflow orchestration tools like Airflow, Data Factory, or Glue.

Responsibilities

• Design, develop, and maintain scalable data processing solutions.
• Optimize Spark workloads and build robust data pipelines.
• Collaborate with cross-functional teams to deliver reliable data products.
• Work with cloud data platforms and big data toolchains.

Skills

PySpark

Python

Spark SQL

SQL

ETL pipelines

Data warehousing

Cloud platforms

Databricks

Delta Lake

Airflow

Git

CI/CD

Agile

Tools

Hadoop ecosystem

Job description

Experience: 8+ Years

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.