To support a DHS program, the full-time Principal Database Engineer will design, build, and maintain scalable data architectures and pipelines while ensuring data quality and collaborating with cross-functional teams in a remote environment.
Key Responsibilities
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 enhance data quality and uncover insights Perform root cause analysis to identify data errors and propose effective remediation solutions Required Qualifications Bachelor's degree in data science, statistics, computer science, engineering, mathematics, or a closely related discipline; advanced degree preferred At least eight years of experience in data science, advanced analytics, or a related field, with hands-on experience in analytical solution design 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) Relevant data engineering certifications (e.g., AWS Certified Data Engineer - Associate, Google Professional Data Engineer) are a plus
Experience: 8 years required