Data Engineer

Nisum • Full-time • Plano, TX, US • 2d ago

What You'll Do

Design, develop, and optimize ETL/ELT pipelines using Databricks (PySpark) and GCP services. Build scalable data pipelines that ingest, process, and transform structured and unstructured data from various sources.
Conduct exploratory data analysis (EDA) to understand data behavior, assess quality, identify trends/anomalies, and inform downstream modeling or reporting needs. Develop and maintain data models and schemas within BigQuery to support analytical and reporting needs.
Work with stakeholders, analysts, and data scientists to understand data requirements and deliver clean, curated datasets.
Implement data quality checks, monitoring, logging, and alerting for robust data operations.
Write clean, maintainable, and well-tested code primarily in Python.
Leverage GCP tools such as Cloud Storage, Dataflow, Pub/Sub, and Cloud Functions to support data operations.
Collaborate with DevOps and platform teams to ensure data infrastructure is scalable, secure, and cost-effective.

What You Know

5+ years of experience in data engineering or related roles. Strong proficiency in Python for data processing and exploration.
Hands-on experience with Databricks, Spark/PySpark, and advanced SQL. Proven experience with Google Cloud Platform (GCP) services, especially BigQuery.
Experience conducting exploratory data analysis (EDA) to uncover data insights and ensure readiness for analytical use.
Experience with orchestration tools like Airflow, Cloud Composer, or similar.
Solid understanding of data modeling, data warehousing concepts, and performance tuning.
Familiarity with CI/CD, version control (Git), and infrastructure as code (e.g., Terraform) is a plus.
Strong problem-solving skills and ability to work independently in a fast-paced environment.

Preferred Qualifications

Experience with streaming data pipelines using Kafka or Pub/Sub.
Exposure to data governance, security, and privacy compliance practices.
Knowledge of machine learning workflows is a plus.

Education

Bachelor’s or master’s degree in computer science, Engineering, or a related field.

Compensation

$120K-130A/Year

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