Google Cloud Platform Data Engineer

🕒 July 20

⚔️ Virginia – Remote

⚔️ Virginia – Remote

💵 $100.2k - $203.4k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

👻 Ghost score 35%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Accenture Federal Services

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 2017

💼 Consulting

🎖️ Defense

📦 Logistics

Consulting • Defense • Logistics

Accenture Federal Services is a division of Accenture that focuses on delivering technology and consulting services to the U. S. federal government. With capabilities in cloud, cybersecurity, data and artificial intelligence, digital engineering, and emerging technologies, Accenture Federal Services supports federal agencies in achieving mission-critical outcomes through innovation and technological advancement. The company emphasizes building secure, scalable solutions, enhancing decision-making with data-driven insights, and transforming digital infrastructures to meet complex governmental needs. By leveraging advanced R&D and human-centered design, they aim to improve the performance and resilience of government operations.

📋 Description

• Design, develop, and maintain robust data pipelines and ETL processes that enable seamless integration, cleansing, harmonization, and transformations in large-scale data processing systems and data lakes/data warehouses using GCP native services. • Implement performance tuning (partitioning, broadcast joins, caching, shuffle optimization). • Integrate data from multiple sources (databases, APIs, cloud storage, potentially streaming). • Migrate legacy data stores and ETL pipelines to modernized, cloud-native architectures on GCP. • Develop scalable batch and real-time streaming data pipelines using Python, SQL, and Apache Beam. • Implement data governance, data quality checks, and secure data access controls in alignment with strict federal security requirements. • Collaborate with data scientists, cloud infrastructure engineers, and mission stakeholders to optimize data models and query performance. • Design and implement CI/CD pipelines to streamline the build, test, and deployment processes.

🎯 Requirements

• 3 to 5+ years of experience with data engineering, data warehousing, and/or big data processing. • 2+ years of hands-on experience building data pipelines and/or data solutions on Google Cloud Platform (BigQuery, Dataflow, and/or Cloud Composer). • Strong programming skills in Python and advanced proficiency in SQL. • Experience with ETL/ELT concepts and tools.

🏖️ Benefits

• Health insurance • Flexible working hours • Professional development opportunities

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