Data Engineer - McLean, United States - Taleo BE
Description
Leidos provides data-driven, business analysis to support senior organizational leaders within the government customer.Additionally the team supports data analysis to include cleaning and extracting data, and enabling and growing our existing automation efforts.
The position requires use of Python to extract information from many data formats and to create tables within Oracle for use by data scientists and methodologists.
The work may be performed independently or within a team environment.Primary Responsibilities
The candidate shall preprocess or clean structured and unstructured customer data.
The candidate shall design and implement advanced code and table configurations for complex data sets.
The candidate shall stay current with the customer's enterprise metadata collection tools.
The candidate shall produce ad hoc metrics reports to answer immediate needs.
The candidate shall analyze large amounts of raw data to provide new business insights.
Basic Qualifications
Requires BS degree and 8 12 years of prior relevant experience or Masters with 6 10 years of prior relevant experience.
Demonstrated experience writing, maintaining, and customizing Python scripts that extract text from various formats such as MS Word, PDF, or XML.
Demonstrated experience reviewing documentation and APIs of commonly used packages to choose the one with the best fit for a given task and implement it.
Demonstrated experience conducting evaluations or transformations of data and loading the results into a relational database.
Demonstrated experience with implementing regular expressions.
Demonstrated experience with version control systems, such as Github.
Demonstrated experience with SQL in Oracle.
Preferred Qualifications
Demonstrated experience addr4essing procedural and administrative issues within the assigned problem set.
Demonstrated experience with web analytics processing and procedures.
Pay Range:
Pay Range $97, $176,250.00
The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary.
Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.
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