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Sr. Data Engineer

Proventus MetricsIrving, TX🇺🇸United StatesPosted Oct 14, 2026

Why This Role Stands Out

Advance your career as a Senior Data Engineer by building and maintaining cutting-edge cloud data infrastructure across GCP and AWS, offering exciting opportunities for skill development in a hybrid environment. If you're a skilled engineer with expertise in Python, SQL, and cloud platforms, this role is a fantastic chance to contribute to impactful projects. Apply now to join a dynamic team and leverage your talents in data engineering.

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
Irving, TX, United States
Posted
21 hours ago
DockerSQLAWSETLLookerSnowflakeAirflowApacheApache SparkBigQueryGoogle CloudJavaKubernetesPythonRedshift

Job Description

Here is OUR CLIENT REQUIREMENT which can be filled immediately.

Position: Sr. Data Engineer
Location: Irving, TX
Duration: Contract W2

A Google Cloud Platform and AWS Data Engineer designs, builds, and maintains scalable cloud data infrastructure, data pipelines (ETL/ELT), and data warehouses across Google Cloud Platform and Amazon Web Services.

Key Tech Stack & Tools
Google Cloud Platform (Google Cloud Platform): BigQuery, Cloud Dataflow, Cloud Pub/Sub, Cloud Storage, Cloud Composer, Vertex AI, Looker.
Amazon Web Services (AWS): Amazon S3, AWS Glue, Amazon Redshift, Amazon EMR, AWS Lambda, Kinesis, Athena.
Languages & Frameworks: Python, Java, SQL, PySpark, Apache Spark, Apache Airflow, Docker, Kubernetes.
Data Modeling: Dimensional modeling (Star/Snowflake schema), data lakes, NoSQL/SQL database design.
Certifications (Preferred): Google Cloud Professional Data Engineer or AWS Certified Data Analytics Specialty.

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