Senior Data Scientist (Senior Software Developer; Systems Software) Columbia, MD 7/6/2026

Avid Technology Professionals, LLC; Columbia (MD); Hybrid; USD 140,000 - 190,000; Full time

Job summary

Avid Technology Professionals, LLC is seeking a Senior Data Scientist in Columbia, MD to design and optimize data pipelines and data architectures for enterprise environments. You will leverage Python, Java, Scala and diverse databases to translate complex data into scalable solutions across teams.

Responsibilities include building data models and pipelines, collaborating with cross-functional teams, and delivering robust data infrastructure aligned with business goals.

Qualifications

• Degree in Systems Engineering or related field with required seniority options.
• Experience parity: 10+ years with a Master's, 12+ with a Bachelor's, or 16+ with an Associate/HS.

Education

Degree in Systems Engineering or related field

Job description

Senior Data Scientist (Senior Software Developer; Systems Software)

Columbia, MD

• 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:
  1. 10+ years of experience with a Master's degree
  2. 12+ years of experience with a Bachelor's degree
  3. 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