Data Engineer
$110,000–$160,000 year
On-siteMcLean, Virginia, United States
McLean, Virginia, United StatesOn-siteFull Time$110,000–$160,000 yearBachelors DegreeMedium
Full TimeBachelors DegreeMedium
Job Summary
Lead and architect migration of data environments with performance and reliability. Assess and understand ETL jobs, workflows, BI tools, and reports while addressing technical inquiries concerning customization, integration, enterprise architecture, and general feature functionality of data products. Craft database and data warehouse solutions in cloud environments, preferably AWS, and support an Agile software development lifecycle. Manipulate, process, and extract value from large, disconnected datasets using Python and other scripting languages.
Required Qualifications
- Ability to hold a position of public trust with the US government
- Bachelor's degree
- 2-4 years industry experience coding commercial software
- 2-4 years direct experience in Data Engineering
- Experience in tools such as: Big data tools: Hadoop, Spark, Kafka, etc.
- Relational SQL and NoSQL databases, including Postgres and Cassandra
- Data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc
- AWS cloud services: EC2, EMR, RDS, Redshift (or Azure equivalents)
- Data streaming systems: Storm, Spark-Streaming, etc
- Search tools: Solr, Lucene, Elasticsearch
- Object-oriented/object function scripting languages: Python, Java, C++, Scala, etc
- Experience with Databricks
- Advanced working SQL knowledge and experience working with relational databases, query authoring and optimization (SQL) as well as working familiarity with a variety of databases
- Experience with message queuing, stream processing, and highly scalable 'big data' data stores
- Experience manipulating, processing, and extracting value from large, disconnected datasets
- Experience manipulating structured and unstructured data for analysis
- Experience constructing complex queries to analyze results using databases or in a data processing development environment
- Experience with data modeling tools and process
- Experience architecting data systems (transactional and warehouses)
- Experience aggregating results and/or compiling information for reporting from multiple datasets
- Experience working in an Agile environment
- Experience supporting project teams of developers and data scientists who build web-based interfaces, dashboards, reports, and analytics/machine learning models
- Key must have skill sets – Python, AWS
Desired Qualifications
- experience in crafting database / data warehouse solutions in cloud (Preferably AWS. Alternatively Azure, GCP)
- technologist with excellent communication and customer service skills
- a passion for data and problem solving
- 2-4 years industry experience coding commercial software and a passion for solving complex problems
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