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  • Emplois similaires à : Data Engineer - GCP- Full Time
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GCP DATA ENGINEERSymhas • Denver, Colorado, United States
Postuler Maintenant
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GCP DATA ENGINEER

Symhas
  • US
    Denver, Colorado, United States
  • US
    Denver, Colorado, United States
Postuler Maintenant

À propos

Position Type Contract (1099 / C2C)
Duration 6–12 Months (with extension potential)
Start Date Immediate / ASAP
Technology / Data Engineering
Position Overview We are seeking an experienced GCP Data Engineer to join our team on a contract basis in Denver, Colorado. The ideal candidate will have deep expertise in Google Cloud Platform services, Java-based pipeline development, and enterprise ETL frameworks. You will design and implement scalable data pipelines, work with large distributed datasets, and collaborate with cross‑functional teams to deliver high‑quality data solutions.
Key Responsibilities
Design, develop, and maintain robust ETL/ELT pipelines on Google Cloud Platform using Java and cloud‑native services
Build and optimize data workflows using GCP tools such as Dataflow (Apache Beam), Dataproc, BigQuery, Cloud Composer (Airflow), and Pub/Sub
Develop Java‑based data ingestion and transformation applications to move data across structured and unstructured sources
Collaborate with data architects and analysts to translate business requirements into scalable technical data solutions
Monitor, troubleshoot, and tune pipeline performance, data quality, and reliability in production environments
Implement data governance and security best practices including IAM policies, encryption, and access controls
Work with Cloud Storage, Cloud SQL, Spanner, and Bigtable to manage and persist data assets
Participate in code reviews, technical design discussions, and agile ceremonies
Write technical documentation for pipelines, schemas, and data flows
Support data migration efforts and legacy system integration with modern cloud infrastructure
Required Qualifications Core GCP Skills
5+ years of experience in data engineering with at least 3 years on Google Cloud Platform
Hands‑on expertise with BigQuery (table design, partitioning, clustering, cost optimization)
Proficiency with Cloud Dataflow (Apache Beam pipelines — batch and streaming)
Experience with Cloud Composer / Apache Airflow for workflow orchestration
Familiarity with Pub/Sub for real‑time event streaming and messaging
Working knowledge of Cloud Storage, Dataproc (Spark/Hadoop), and GCP networking basics
Strong proficiency in Java (8+) for building data pipelines and backend services
Experience designing and building ETL/ELT pipelines at scale (batch and streaming)
Knowledge of SQL and experience writing complex queries for BigQuery or similar warehouses
Familiarity with data transformation patterns: slowly changing dimensions, CDC, data normalization
Experience integrating APIs, JDBC/ODBC connectors, and file‑based data sources
General
Solid understanding of distributed systems, data warehousing concepts, and data lake architecture
Proficiency with version control (Git) and CI/CD practices
Excellent problem‑solving skills and ability to work independently in a contract environment
Strong communication skills for collaborating with remote and on‑site stakeholders
Preferred / Nice‑to‑Have
Experience with dbt (data build tool) for data transformation
Familiarity with Terraform or Deployment Manager for infrastructure‑as‑code on GCP
Experience with Kafka or other streaming platforms alongside Pub/Sub
Knowledge of Python for scripting and data manipulation tasks
Exposure to data quality frameworks (Great Expectations, Deequ)
Experience with Looker, Data Studio, or other BI tools connected to BigQuery
About the Engagement This is a contract role embedded within an established data engineering team. You will have direct impact on mission‑critical data pipelines that serve business intelligence, analytics, and operational systems. The team follows agile practices with two‑week sprints, daily standups, and collaborative design sessions. The role is hybrid with approximately three days on‑site in Denver, CO.
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  • Denver, Colorado, United States

Compétences linguistiques

  • English
Avis aux utilisateurs

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