Principal Database Engineer

🔥 2 minutes ago

🏛️ District of Columbia, Washington – Remote

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⏰ Full Time

🔴 Lead

🔙 Backend Engineer

👻 Ghost score 10%

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Logo of ASRC Federal

ASRC Federal

5001 - 10000 employees

Founded 2003

🎖️ Defense

🚀 Aerospace

🏛️ Government

Defense • Aerospace • Government

ASRC Federal is a wholly-owned subsidiary of Arctic Slope Regional Corporation that provides federal government contracting services across space, civilian, defense & intelligence, national security, and health markets. It delivers engineering solutions, digital operations and IT modernization, software, applications & analytics, supply chain management & logistics, infrastructure operations, and professional services to support missions such as NASA space programs, FAA aviation safety/operations, Air Force industrial support, cyber defense, and base/resiliency operations. The company operates a family of businesses whose earnings support ASRC’s more than 14,000 Iñupiaq shareholders and employs roughly 9,000 people.

📋 Description

• Design, construct, test, and maintain scalable data pipelines and architectures for data ingestion and transformation • Collaborate with data scientists and analysts to implement data solutions that uncover insights and improve data quality • Perform root cause analysis to identify data errors and propose remediation solutions • Analyze and optimize data processes and systems for efficiency and performance • Validate data reliability through systematic testing and monitoring of data quality metrics • Document data engineering processes, system workflows, and best practices • Collaborate with Error Response Teams (ERTs) to remediate data quality issues • Remotely support the DHS program and ICE LESA Data Quality Improvement Support Services contract

🎯 Requirements

• Minimum bachelor’s degree in data science, statistics, computer science, engineering, mathematics, or a closely related discipline • At least eight (8) years of experience in data science, advanced analytics, or a closely related field • Hands-on experience designing and implementing analytical solutions in operational settings • Advanced proficiency in Python, SQL, and ETL processes • Experience with cloud platforms and big data technologies such as AWS, Azure, Hadoop, and Spark • Strong understanding of data modeling, data architecture, and database management principles • Proven experience in data validation, data cleansing, and data quality assessment techniques • Excellent analytical skills and ability to think critically and solve complex problems • Relevant data engineering certifications are a plus • Position is contingent upon award

🏖️ Benefits

• Top veteran employer • Certified Great Place to Work™

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