Data Engineer

Overview

BT-166 – Data Engineer

Location:

McLean (fully on-site, no remote option)

MUST HAVE A POLY CLEARANCE TO APPLY. Those who do not have a Poly clearance will not be considered.

Bespoke Technologies is seeking a Data Engineer who will provide highly technical and in-depth data engineering support.

• Design and build data infrastructure, develop data pipelines, transform and prepare data, ensure data quality and security, and monitor and optimize systems.
• Work with Python and AWS to implement data solutions.
• Work with SQL and multi-data source queries using database technologies (Postgre
  
  SQL, MySQL, RDS, etc.).
• Utilize tools such as NiFi, Git, Elasticsearch, Kibana, Jupyter Notebooks; engage with NLP, AI, and data visualization tools (Tableau, Kibana, Qlik, etc.) as applicable.
• Collaborate with stakeholders to deliver data products and insights.

• Experience with data engineering: designing/building data infrastructure, developing data pipelines, transforming/preparing data, ensuring data quality and security, and monitoring/optimizing systems.
• Experience with data management and integration, designing and operating robust data layers for application development across local and cloud or web data sources.
• Programming experience with Python.
• Experience building scalable ETL and ELT workflows for reporting and analytics.
• Experience with Linux computing and advanced bash scripting.
• Experience with SQL and constructing complex multi-data source queries with Postgre
  
  SQL, MySQL, Neo4J or RDS.
• Experience processing structured and unstructured data.
• Experience developing data pipelines with NiFi to bring data into a central environment.
• Experience delivering results to stakeholders through written documentation and oral briefings.
• Experience using code repositories such as Git.
• Experience using Elastic and Kibana technologies.
• Experience working with multiple stakeholders and documenting artifacts such as code, Python packages, and methodologies.
• Experience using Jupyter Notebooks.
• Experience with machine learning techniques including natural language processing.
• Experience explaining complex technical issues to junior data scientists in graphical, verbal, or written formats.
• Experience developing tested, reusable and reproducible work.
• Background in mathematics, statistics, hard sciences, computer science, data science, or business analytics.

• Experience with cloud services (AWS) and cloud data technologies/architecture.
• Experience using big data processing tools such as Apache Spark or Trino.
• Experience with machine learning algorithms.
• Experience with container frameworks such as Docker or Kubernetes.
• Experience with data visualization tools such as Tableau, Kibana or Apache Superset.
• Experience creating learning objectives and teaching curricula in technical or scientific fields.

• Attach resume as .pdf, .doc, .docx, .odt, .txt, or .rtf (limit 5MB) or paste resume
• Do you live within Virginia, Maryland, or DC?
• Do you have an active Poly security clearance?
• What is your Poly Type?
• When was your Poly security clearance granted?
• There is no option for remote work and all support is fully on-site. Which location do you prefer?