Job: Data Engineer, GeoSearch, Inc., McLean, VA

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General Information


Job title:
Data Engineer
Job location:
McLean, VA  22101 United States
District of Columbia, Maryland, Virginia
Requisition code:
BHJOB12989_1075
Date posted:
07/26/2019
Compensation:
Job category:
IT Ecommerce-Web Development
IT Management
IT Sales/Marketing
IT Software Development
Job type:
Full-time

Job Description


We are seeking a Data Engineer to build systems to support the rapid growth of our business. You should have a strong background integrating large, messy data sets. As a data engineer you will build an infrastructure that takes into account a wide variety of data. You will create new architecture to manage, process and distribute big and small data. Your work will enable data scientists and analysts to work smarter and faster as we support decisions in emerging markets across private and public sectors.

Responsibilities:

Develop and maintain ETL pipelines to combine and abstract data from a wide variety of sources and structures
Work with the data science team to design and implement data delivery systems that feed into analytical and software products
Create scalable workflow that delivers data with minimum error and in a timely manner
Apply testing and validation techniques to ensure data processes and pipelines are working properly
Document and train others on data pipeline
Serve as a technical resource in resolving issues related to data pipelines:
1) Write documentation to ensure reproducibility
2) Automate manual processes

Job Requirements


Required Qualifications:

Bachelor’s or master’s degree in a related field with strong computer science background
At least 2 years of data management experience, particularly for use in data science (level contingent on work experience)
Demonstrated experience working with data and databases
Experience using SQL, Python, R or other query and scripting languages to aggregate and transform data
Preferred Qualifications:

Experience working with spatial data
Contextual knowledge of emerging markets and data sparse environments or international work interest
Familiarity or experience with AWS (or other cloud) resources
(Job number: 3849999)
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