Senior Data Engineer

🕒 August 6

⚔️ Virginia – Remote

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💵 $98.6k - $167.6k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

🦅 H1B Visa Sponsor

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👻 Ghost score 20%

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Logo of ICF

ICF

5001 - 10000 employees

Founded 1969

🏥 Healthcare

📦 Logistics

📣 Marketing

💰 $30M Grant on 2021-03

Healthcare • Logistics • Marketing

ICF is a global consulting and technology services company that helps government and commercial clients tackle complex challenges. The firm provides expertise in areas such as Federal IT modernization, energy and utilities, public health, climate resilience, disaster management, and transportation. ICF leverages data and analytics, artificial intelligence, and cybersecurity to deliver innovative solutions. With a strong commitment to corporate citizenship and sustainability, ICF supports social programs and community development, aiming for a sustainable, low-emissions future. The company operates worldwide, with significant presence in Europe through its offices in Belgium, Spain, and the UK.

📋 Description

• Design, develop, and maintain scalable data pipelines using Spark, Hive, and Airflow • Develop and deploy data processing workflows on Databricks • Develop API services for data access and integration • Create interactive data visualizations and reports using AWS QuickSight • Build infrastructure for extracting, transforming, and loading data using AWS and SQL • Monitor and optimize data infrastructure and process performance • Develop data quality and validation jobs • Assemble complex datasets meeting functional and non-functional requirements • Write unit and integration tests for data processing code • Work with DevOps engineers on CI, CD, and IaC • Translate specifications into code and design documents • Perform code reviews and improve code quality processes • Improve data availability and timeliness through refreshes, tiered storage, and dataset optimization • Maintain data security and privacy at rest and in transit • Perform other duties as assigned

🎯 Requirements

• Bachelor's degree • 7+ years of hands-on software development experience • 4+ years of experience building data pipelines using Python, Java, and cloud technologies • Hands-on experience leveraging Spark and Hive for large-scale data processing • Must be able to obtain and maintain a Public Trust clearance • Must reside in the US, be authorized to work in the US, and perform work in the US • Must have lived in the US 3 full years out of the last 5 years • Experience with Databricks, AWS products, SQL and NoSQL databases, workflow and pipeline tools, stream-processing systems, Scala, C++, Java, Python, DevOps methodologies, CI/CD, IaC, Terraform, Agile methodology, and test-driven development

🏖️ Benefits

• Equal opportunity employer • Reasonable accommodations for disabled veterans, individuals with disabilities, and individuals with sincerely held religious beliefs • Benefit offerings referenced under the Transparency in (Benefits) Coverage Act

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