Data Engineer

Key Skills

Big Data Technology, Data Analytics, Data Architecture, Data Modeling, Data oriented design- DoD, Data pipelines, Data science techniques, Databricks, ETL frameworks, JavaScript, Jupyter Notebook, Large data sets, Python Programming, Scala Programming, SPARK Programming, SQL, XML-JSON

Job Description

Have you been looking to shift your career into high gear? This is your opportunity to take your ambitions and convert them into a solid career in a supportive and innovative environment!

Summit2Sea, a cBEYONData company is seeking a Data Engineer to support our federal customer's multi-domain technology platform which offers military and business decision makers, analysts, and users at all levels unprecedented access to authoritative enterprise data and structured analytics in a scalable, reliable, and secure environment.

Responsibilities:

• Design, develop, and implement end-to-end data pipelines, utilizing ETL processes and technologies such as DataBricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks.
• Work closely with cross-functional teams to understand data requirements and design optimal data models and architectures.
• Create and optimize data pipelines from scratch, ensuring scalability, reliability, and high-performance processing.
• Perform data cleansing, data integration, and data quality assurance activities to maintain the accuracy and integrity of large datasets.
• Leverage big data technologies to efficiently process and analyze very large datasets, similar to those encountered in a federal agency.
• Collaborate with data scientists, analysts, and stakeholders to provide timely and accurate data insights and support decision-making processes.
• Troubleshoot data-related problems and provide innovative solutions to address complex data challenges.
• Implement and enforce data governance policies and procedures, ensuring compliance with regulatory requirements and industry best practices.
• Utilize your experience with DoD (Department of Defense) projects to meet specific data requirements and adhere to relevant standards.
• Stay updated with emerging trends and advancements in data engineering and recommend suitable tools and technologies for continuous improvement. 

Requirements:

• Minimum of 5 years of experience as a Data Engineer, with demonstrated experience creating data pipelines from scratch.
• Bachelor's degree in a related field.
• High level of proficiency in ETL processes and demonstrated hands-on experience with technologies such as DataBricks, Python, Spark, Scala, JavaScript/ JSON, SQL, and Jupyter Notebooks.
• Strong problem-solving skills and ability to solve complex data-related issues.
• Secret clearance is required; TS/SCI clearance is preferred.
• Recent DoD or IC-related experience.
• Demonstrated experience working with very large datasets and leveraging big data technologies to process and analyze data efficiently.
• Understanding of data modeling/ visualization, database design principles, and data governance practices.
• Knowledge of Qlik/ Qlik Sense, QVD/ QlikView, and Qlik Production Application Standards (QPAS) is a huge plus.
• 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.