Senior Data Scientist

Markon, LLC.
Annapolis, MD, United States
about 1 month ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
4 years minimum
Compensation
$210,000.0
Working hours
Regular working hours

Tech stack

Java (Programming Language) Artificial Intelligence Amazon Web Services Microsoft Azure Big Data Cloud Computing Computer Programming Databases Information Engineering Data Governance Data Infrastructure Data Security
+17 more
Data Warehousing Graph Database Apache Hadoop Python (Programming Language) PostgreSQL Machine Learning MongoDB MySQL Neo4j NoSQL Scala (Programming Language) SQL Databases Data Storage Technologies Apache Spark Cassandra Apache Kafka Data Pipelines

Job description

  • Develop and maintain robust and scalable data pipelines for enterprise AI applications including defining appropriate data model concepts
  • Develop high-performance data parsers for extremely large and complex datasets
  • Implement and manage various database systems, including graph, SQL, NoSQL, and vector database
  • Collaborate with AI/ML engineers and data scientists to understand data requirements and optimize data access and retrieval for AI models
  • Ensure data quality, integrity, and security across all data storage solutions
  • Support the deployment and maintenance of AI applications by providing expert data engineering capabilities
  • Familiarity with AI concepts in the context of data storage, access, and retrieval
  • Continuously optimize data infrastructure for performance, cost-efficiency, and scalability

Requirements

  • Active TS/SCI W/ Polygraph
  • Bachelor’s degree in a relevant technical field with 8 years of experience; Master’s degree in a relevant technical field with 5 years of experience; 4 years additional experience will be considered in lieu of degree
  • 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

Preferred 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

Benefits & conditions

USD $150,000.00 - USD $210,000.00 /Yr.

The Markon pay range for this position is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law., Benefits Offered: Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Training and Tuition Assistance, Paid Time Off, and Holidays.

About the company

Eager to join a team where your skills are valued, your growth is nurtured, and your impact is profound? Look no further than Markon, a premier consulting firm deeply dedicated to advancing our nation’s most critical missions.

At Markon, we don’t just offer jobs - we offer opportunities for personal and professional transformation. Empowering our employees to lead, innovate, and excel, we foster an environment where new ideas are not just welcomed but celebrated. As a perennial Washington Post Top Workplace, we prioritize the well-being and success of our team members, ensuring they can bring their best selves to work.

Headquartered in Falls Church, Virginia, Markon has garnered national recognition for our unwavering dedication to excellence in serving the intelligence community, as well as federal civilian and defense agencies. Our growing reach extends across 17 states, 116 countries, and 5 continents, where our team of dynamic professionals collaborates to deliver unparalleled program and project management services.

Markon values people and the tremendous impact each individual can make - which is why we’re consistently recognized as one of the best places to work in federal government consulting. Here, you can help solve the nation’s most important challenges, surrounded by colleagues who help you grow, advance, and succeed. We are deeply dedicated to what matters - bringing out the best in each other to advance our clients’ missions.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on www.clearancejobs.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

2:37 min

Comparing traditional SQL tables versus NoSQL non-tabular databases

Stanimira Vlaeva · JS Congress

2:24 min

Comparing Neo4j and GraphQL conceptual models

William Lyon · LIVE

2:18 min

Scaling MySQL databases for massive user growth

Johannes Nicolai Johannes Nicolai +1 · LIVE

3:09 min

Balancing data science skillings alongside systems engineering rigor

Nico Schmidt · LIVE

3:16 min

Terminology differences between relational and NoSQL databases

Tim Faulkes · LIVE

Videos

See all

Related articles

See all