Senior Data Scientist (Senior Software Developer; Systems Software)

Columbia, MD, US • Posted 19 hours ago • Updated 6 hours ago
Full Time
On-site
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Programming Languages
  • Python
  • Java
  • Scala
  • Data Flow
  • Graph Databases
  • Neo4j
  • SQL
  • PostgreSQL
  • MySQL
  • NoSQL
  • Database
  • MongoDB
  • Apache Cassandra
  • Vector Databases
  • Cloud Computing
  • Amazon Web Services
  • Microsoft Azure
  • Data Storage
  • Systems Engineering
  • Data Governance
  • Data Security
  • Regulatory Compliance
  • Big Data
  • Apache Hadoop
  • Apache Spark
  • Apache Kafka
  • Data Warehouse
  • Data Engineering
  • Artificial Intelligence
  • Machine Learning (ML)
  • Communication
  • Collaboration

Summary

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

Qualifications - Degree from an accredited college or university in System Engineering or related discipline and one of the following: - 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:
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"
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10118033
  • Position Id: cb8bb644ee034bd4d0ec7b9574ef8a10
  • Posted 19 hours ago
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