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Data Engineer job in Reston at Base-2 Solutions, LLC

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Data Engineer at Base-2 Solutions, LLC

Data Engineer

Base-2 Solutions, LLC Reston, VA Full-Time

Required Security Clearance: Top Secret/SCI


City: Reston


State/Territory: Virginia


Travel: None


Potential for Teleworking: Yes


Schedule: Full Time


DoD 8570 IAT Requirement: None


DoD 8570 IAM Requirement: None


DoD 8570 IASAE Requirement: None


DoD CSSP Requirement: None

The Data Engineer will create ETL processes, develop cloud data pipelines, conduct data analysis, and create data visualizations. This role will maintain responsibility for the maintenance, improvement, cleaning, and manipulation of data in the business operational and analytics databases. The Data Engineer will work with the business’s software engineers, data analytics teams, data scientists, and data warehouse engineers to comprehend and aid in the implementation of database requirements, analyze performance, and troubleshoot any existent issues. for the Infrastructure COIs and Software Factory teams.  Job Description

  • Create and maintain optimal data pipeline architecture, Assemble large, complex data sets that meet functional / non-functional business requirements.
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.
  • Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
  • Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
  • Keep our data separated and secure across national boundaries through multiple data centers and AWS regions.
  • Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
  • Work with data and analytics experts to strive for greater functionality in our data systems.
Required Skills
  • We are looking for a candidate with 5+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field.
Preferred Skills
  • Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
  • Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
  • Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
  • Strong analytic skills related to working with unstructured datasets.
  • Build processes supporting data transformation, data structures, metadata, dependency and workload management.
  • A successful history of manipulating, processing and extracting value from large disconnected datasets.
  • Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
  • Strong project management and organizational skills.
  • Experience supporting and working with cross-functional teams in a dynamic environment.
  • Experience with big data tools: Hadoop, Spark, Kafka, etc.
  • Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
  • Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
  • Experience with AWS cloud services: EC2, EMR, RDS, Redshift
  • Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.

Recommended Skills

  • Airflow
  • Amazon Elastic Compute Cloud
  • Amazon Redshift
  • Analytical
  • Apache Hadoop
  • Apache Kafka
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