Senior Data Scientist (Senior Software Developer; Systems Software)
On-siteColumbia, Maryland, United States
Columbia, Maryland, United StatesOn-siteFull TimeSenior LevelDoctorate Or Professional Degree
Full TimeSenior LevelDoctorate Or Professional Degree
Job Summary
Design and optimize large-scale data pipelines for enterprise environments using Python, Java, or Scala. Develop data parsers for massive datasets and manage complex dataflows across SQL, NoSQL, graph, and vector databases. Leverage cloud platforms like AWS or Azure for storage and processing while adhering to data governance, security, and compliance best practices. Translate complex data requirements into actionable engineering solutions and collaborate with cross-functional teams. Maintain a continuous learning mindset to stay current with cutting-edge data engineering and AI advancements.
Required Qualifications
- Advanced proficiency in programming languages commonly used for data engineering (e.g., Python, Java, Scala)
- Demonstrated expertise in designing, developing, and optimizing data pipelines for large-scale enterprise environments
- Proven experience with corporate dataflows and developing data parsers for extremely large datasets
- Extensive experience with various database technologies including graph databases (e.g., Neo4j), SQL databases (e.g., PostgreSQL, MySQL), NoSQL databases (e.g., MongoDB, Cassandra), and vector databases
- Familiarity with cloud platforms (AWS, Microsoft Azure) for data storage and processing
- Degree from an accredited college or university in System Engineering or related discipline
- 10+ years of experience with a Master's degree
- 12+ years of experience with a Bachelor's degree
- 16+ years of experience with Associate's Degree or HS Diploma
Desired Qualifications
- Experience with data governance, data security, and compliance best practices
- Familiarity with big data technologies such as Hadoop, Spark, or Kafka
- Experience with data warehousing concepts and tools
- Continuous learning mindset to stay abreast of cutting-edge data engineering and AI advancements
- Understanding of machine learning concepts and their implications for data infrastructure
- Excellent communication and interpersonal skills, with the ability to effectively collaborate with cross-functional teams
- Ability to translate complex data requirements into actionable engineering solutions
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