Develop and maintain software applications that handle data access, processing, and analytics.
Utilize strong Python coding abilities to build efficient and scalable solutions.
Implement and integrate data access layer technologies such as Databricks, iQuery, Global Search, API, and File Browser.
Apply knowledge of automation tools to streamline data-related processes.
Utilize Scala, Databricks, Python, Trifacta, DataRobot, and R to implement data processing and analysis tasks.
Leverage proficiency with AWS services, including Amazon S3, Amazon RDS, Amazon RedShift, Amazon ElasticSearch Service, Delta Lake, Neo4j, and Parquet for data storage, processing, and retrieval.
Collaborate with Data Scientists and Data Analysts to understand data requirements and design efficient data workflows.
Develop user-friendly, visually appealing tools and interfaces that enable both technical and non-technical users to interact with data effectively.
Ensure the security and integrity of data through the implementation of appropriate access controls and encryption mechanisms.
Work closely with stakeholders to gather requirements, provide technical guidance, and deliver high-quality solutions.
Maintain documentation for software applications, workflows, and processes.

Requirements

Secret clearance required (Interim is ok); TS/SCI clearance preferred.
Minimum of 3 years of experience as a Full Stack Developer, with demonstrated experience creating data-related software applications from scratch.
Proficient with essential front-end technologies like HTML5, CSS3, and JavaScript.
Strong proficiency in Python coding.
Proficiency with automation tools like UiPath or Automation Anywhere.
Experience with cloud services, particularly AWS, including Amazon S3, Amazon RDS, Amazon RedShift, Amazon ElasticSearch Service, Delta Lake, Neo4j, and/or Parquet.
Bachelor's degree in a related field.
Experience querying data through various methods to enable fast analytics.
Demonstrated experience developing tools and interfaces that facilitate user interaction with data.
Demonstrated experience working with large datasets and leveraging big data technologies to process and analyze data efficiently.
Knowledgeable of third-party libraries like jQuery, Angular, and React.js.
Knowledgeable of data access layer technologies such as Databricks, iQuery, SQL/MySQL, Global Search, API, and File Browser.
Knowledgeable of technologies such as Scala, Databricks, Python, Trifacta, DataRobot, Kafka, StreamSets, and/or R programming language.
Strong problem-solving skills and ability to work in a fast-paced, dynamic environment.
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 2-3 days per week.

Benefits

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Applicant Tracking System Keywords

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Hard Skills & Tools

PythonScalaHTML5CSS3JavaScriptDatabricksTrifactaDataRobotRSQL/MySQL

Soft Skills

problem-solvingcommunicationcollaborationdetail-orientedability to work in fast-paced environment

Certifications

Secret clearanceTS/SCI clearanceBachelor's degree