Deliver insights to help our clients turn data into action as a Data Engineer Senior at GDIT. Your work will provide transformative solutions to our clients big-data obstacles and help advance the mission. Here, you can make a meaningful impact on our clients mission and on your career.

At GDIT, people are our differentiator. As a Data Engineer Senior you will help ensure today is safe and tomorrow is smarter. Our work depends on Data Engineer Senior joining our team to work with our clients to develop enterprise grade data platforms, services, and pipelines. We are looking for more than just a "Data Engineer", but a technologist with excellent communication and customer service skills and a passion for data and problem solving. Lead and architect migration of data environments with performance and reliability. Assess and understand the ETL jobs, workflows, BI tools, and reports Address technical inquiries concerning customization, integration, enterprise architecture and general feature / functionality of data products Experience in crafting database / data warehouse solutions in cloud (Preferably AWS. Alternatively Azure, GCP).
Key must have skill sets Microsoft data stack, Python, Support an Agile software development lifecycle You will contribute to the growth of our Data Exploitation Practice!

WHAT YOULL NEED TO SUCCEED:

Ability to hold a position of public trust with the US government.
2-4 years of experience working with MS SQL Server and SSIS to build ETL pipelines

2-4 years industry experience coding commercial software and a passion for solving complex problems.

2-4 years direct experience in Data Engineering with 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.
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
Remote
US Citizenship Required

GDIT IS YOUR PLACE:
Flex work week to own your priorities at work and at home
401K with company match
Comprehensive health and wellness packages
Internal mobility team dedicated to helping you own your career
Professional growth opportunities including paid education and certifications
Cutting-edge technology you can learn from
Rest and recharge with paid vacation and holidays