Note: The job is a remote job and is open to candidates in USA. ASRC Federal is a government contractor supporting missions in space, public health, and defense. The Principal Database Engineer will design, build, and maintain scalable data architectures and pipelines, improve data quality and reliability, and collaborate with data scientists, analysts, and technical teams. The role also involves root cause analysis, data process optimization, validation, documentation, and remediation of data quality issues.
Responsibilities
- Design, construct, test, and maintain scalable data pipelines and architectures to support 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 solutions for remediation
- Continuously analyze and optimize data processes and systems for efficiency and performance
- Validate and ensure the reliability of data through systematic testing and monitoring of data quality metrics
- Document data engineering processes, system workflows, and best practices for stakeholder reference
- Collaborate with Error Response Teams (ERTs) to support remediation of data quality issues
Skills
- Education: 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, with hands-on experience designing and implementing analytical solutions in operational settings
- Advanced proficiency in data engineering tools and technologies such as Python, SQL, and ETL processes
- Experience with cloud platforms and big data technologies (e.g., AWS, Azure, Hadoop, 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 combined with the ability to think critically and solve complex problems
- An advanced degree (master's or doctorate) is preferred
- Relevant data engineering certifications (e.g., AWS Certified Data Engineer - Associate, Google Professional Data Engineer) are a plus
Benefits
- Health care
- Dental insurance
- Vision insurance
- Life insurance
- 401(k)
- Education assistance
- Paid time off including PTO, holidays, and any other paid leave required by law
- Remote work
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