Data Engineer

• Collaborate with cross-functional teams are also important, as the role involves working closely with data scientists, analysts, and software developers.
• Developing, maintain, and optimize data pipelines that connect various systems and databases.
• Design, implement, and troubleshoot data integration solutions to meet the data needs.

• DoD Secret clearance is required;
• Minimum of 2 years of demonstrated experience with data integration tools like Databricks, or similar platforms to design and manage data pipelines.
• Strong coding skills in languages such as Python, Java, or SQL to develop and maintain data connection scripts, transformations, and data manipulation.
• Solid understanding of various database systems (relational and NoSQL), data modeling, and query optimization techniques
• Minimum of 2 years of demonstrated experience with ETL processes, including data extraction from various sources, data cleansing and loading into destination systems.
• Familiarity with working with APIs to connect and exchange data between different systems and applications.
• Proficiency in cloud platforms like AWS, Azure, or Google Cloud for setting up and managing data pipelines in a cloud environment.
• Knowledge of version control systems like Git to manage and track changes to code and configurations.
• Understanding of data security best practices and experience implementing encryption, authentication, and authorization mechanisms in data connections
• Ability to diagnose and resolve issues in data pipelines, including identifying bottlenecks, data quality problems, and performance optimization.
• Skill in setting up monitoring and logging systems to track the health and performance of data pipelines and detect anomalies.
• Effective communication and teamwork skills to collaborate with data scientists, analysts, and software engineers in cross-functional projects.
• Strong problem-solving skills to identify root causes of data integration challenges and devise effective solutions.
• Experience with automating data integration processes and managing them through continuous integration and continuous deployment (CI/CD) pipelines.
• Basic project management skills to plan, prioritize and execute data connection projects efficiently.
• Ability to learn and adapt to new technologies, tools, and techniques as the field of data engineering evolves.
• Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams.
• Detail-oriented mindset with a commitment to delivering high-quality results.
• Must be in the DC Metro area and available to work onsite (Crystal City, VA and Alexandria, VA) 2-3 days per week or on an as-needed basis.

• Recent DoD or IC-related experience.

• Video Interview – Yes (may include technical assessment)

• Candidates should be prepared to clearly articulate their experience creating data-related software applications from scratch (Recent evidence of this should be easily identifiable in their resume).
• Candidates should be prepared to clearly articulate data problems that their applications have solved in their past.
• Candidates should be prepared to discuss what technologies they have hands-on experience with and demonstrate in-depth understanding of those technologies during the technical assessment.
• Candidates should be prepared to clearly articulate their experience working with very large data sets/Big Data, like that of large federal agency.
• Candidates should be prepared to clearly articulate their proficiency with data and software-related programming languages and explain their thought processes related to problem solving.
• Candidates should be prepared to discuss their availability to travel to the Washington, D.C, Metro Area.

• Fully remote work schedules are not available at this time.

• We will only consider candidates that currently possess an active interim Secret security clearance or higher at this time.
• Must be a U.S. Citizen.

IntelliTech LLC