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Senior Data EngineerStrategio Inc. • Virginia, Minnesota, United States
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Senior Data Engineer

Strategio Inc.
  • US
    Virginia, Minnesota, United States
  • US
    Virginia, Minnesota, United States
Postuler Maintenant

À propos

Senior Data Engineer Location: McLean, VA – Hybrid
The Opportunity We’re seeking a Senior Data Engineer who is passionate about building modern data platforms that transform complex data into meaningful insights and business value.
In this role, you will design and optimize scalable data pipelines, support cloud data migration initiatives, and build high-performance data solutions that power analytics, reporting, and enterprise decision-making. You will collaborate with cross‑functional teams to ensure that data systems are reliable, efficient, and accessible.
This opportunity is ideal for someone who enjoys solving complex data challenges, working with large datasets, and building scalable infrastructure that enables organizations to make smarter decisions.
About You You’re a senior‑level data engineering professional who knows how to turn complexity into clarity. You bring deep expertise in SQL and Python, and you’ve built scalable ETL pipelines that support analytics, reporting, and business‑critical data operations in enterprise environments.
You’re comfortable working across large and complex datasets, and you understand how to design reliable data solutions that perform well under real‑world demands. You’ve likely supported data warehousing initiatives, contributed to cloud migration projects, and collaborated with cross‑functional teams to improve data quality, accessibility, and platform performance.
As a Strategio Senior Data Engineer, you will:
Design, build, and maintain scalable ETL pipelines supporting structured and unstructured data
Develop robust and efficient data solutions using advanced SQL and Python
Support cloud data migration initiatives, including data mapping, transformation, validation, and optimization
Collaborate with engineering, analytics, and business teams to improve data quality, accessibility, and performance
Optimize data pipelines and workflows to ensure reliability, scalability, and efficiency
Contribute to engineering best practices around data architecture, documentation, testing, and deployment
Core Skills
Proven experience working as a Data Engineer or in a similar data‑focused engineering role
Advanced expertise in SQL and Python, with the ability to work across complex datasets and workflows
Hands‑on experience designing and maintaining ETL pipelines in enterprise environments
Experience working with data warehousing platforms and large‑scale data processing systems
Experience supporting analytics and reporting platforms through reliable data infrastructure
Strong understanding of data modeling, data transformation, and pipeline optimization
Strong communication and collaboration skills, with the ability to work effectively across technical and business teams
Nice‑to‑Haves
Experience working with cloud platforms such as AWS, Azure, or Google Cloud Platform
Familiarity with data orchestration or pipeline automation tools
Experience in regulated industries such as financial services
Exposure to data governance, metadata management, or data quality frameworks
Experience mentoring engineers or contributing to engineering standards and best practices
EEO Statement At Strategio, we are committed to creating a diverse and inclusive work environment where everyone feels valued and respected. We work hard to create a culture of kindness, honesty, and respect, and we are dedicated to creating higher‑performing organizations by addressing the lack of diversity in the workforce. Individuals seeking employment are considered without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, status as a protected veteran, or disability.
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  • Virginia, Minnesota, United States

Compétences linguistiques

  • English
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