Data Systems Engineer – TS/SCI w/Poly

Shield Consulting Solutions; Maryland; On-site; USD 220,000 - 230,000; Full time

Benefits offered by this job

25 days PTO

11 paid holidays

Employer-paid healthcare for employees

401(k) with 8% employer match

Job summary

Shield Consulting Solutions is seeking a Systems Engineer with a strong data engineering focus to outline, develop and implement data engineering solutions. The candidate will work in a Linux environment, interact with data ontologies (schemas) and structured data (XML/CSV/JSON), and bring database experience (MySQL/NoSQL) and analytical queries to bear on a platform.

Ideal candidates will have working knowledge of smart data systems and entitlements, and experience with JAVA and Splunk to

Qualifications

• 14 years experience as a system engineer.
• Bachelor’s degree in a technical discipline.
• 5 additional years of experience as a system engineer may be substituted for a degree

Responsibilities

• Outline, develop and implement data engineering solutions.
• The candidate should have working knowledge of NiFi, be comfortable in a Linux environment, interact with data ontologies (schemas) and structured data types (XML, CSV, JSON) and have database experience (MySQL/NoSQL) and analytic queries with a platform.
• Candidate will work with numerous concurrent IC-provided data sets to identify, map and model data transformation routines supporting ingestion into the customer’s corporate repositories and document new and existing data flows supporting data routing implementations.
• A working knowledge of smart data systems and entitlements is highly desired, as well as experience with JAVA and Splunk.

Skills

Smart data systems

Entitlements

Agile development

Education

Bachelor’s degree in a technical discipline

Experience substitution: 5 extra years

Tools

NiFi

Linux

XML

CSV

JSON

MySQL/NoSQL

Java

Splunk

Job description

Shield Consulting Solutions is seeking a Systems Engineer with a strong data engineering focus to outline, develop and implement data engineering solutions. The candidate will work in a Linux environment, interact with data ontologies (schemas) and structured data (XML/CSV/JSON), and bring database experience (MySQL/NoSQL) and analytical queries to bear on a platform.

Ideal candidates will have working knowledge of smart data systems and entitlements, and experience with JAVA and Splunk to