Secret Sr Data Engineer II

Insight Global
Reston, United States of America
5 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior

Job location

Reston, United States of America

Tech stack

Artificial Intelligence
Data Architecture
Data Cleansing
ETL
Data Systems
Python
Machine Learning
Cloudera
SQL Databases
Snowflake
SC Clearance
Information Technology
Data Analytics
Kafka
Apache Nifi
Databricks

Requirements

Must have an active Secret clearance/T1 background investigation or higher

-Minimum 7 years experience

-Bachelor's Degree in Computer Science, Information Technology Management or Engineering, or other comparable degree or experience

-Eligible to obtain an active Secret clearance/TI background investigation

-Experience in Data/ML engineering

-Strong Experience with ETL, data labeling, and data preparation

-Experience with one or more of the following technologies: Cloudera, DataBricks, Snowflake, NiFi, Python, SQL, Kafka

-Strong experience designing, developing, and deploying data solutions

-Strong experience designing, implementing, and maintaining data architecture and services to be used for AI/ML. Additionally, operationalizing and maintaining AI/ML models in production.

-Strong communication skills, ability to communicate technical concepts in both layman and technical terms to technical and non-technical stakeholders, Must have an active Secret clearance/T1 background investigation or higher

-Minimum 7 years experience

-Bachelor's Degree in Computer Science, Information Technology Management or Engineering, or other comparable degree or experience

-Eligible to obtain an active Secret clearance/TI background investigation

-Experience in Data/ML engineering

-Strong Experience with ETL, data labeling, and data preparation

-Experience with one or more of the following technologies: Cloudera, DataBricks, Snowflake, NiFi, Python, SQL, Kafka

-Strong experience designing, developing, and deploying data solutions

-Strong experience designing, implementing, and maintaining data architecture and services to be used for AI/ML. Additionally, operationalizing and maintaining AI/ML models in production.

-Strong communication skills, ability to communicate technical concepts in both layman and technical terms to technical and non-technical stakeholders - -Ability to perform data analytics on program related or system related activities. -This will include assessing performance and manual processes implementing methods/algorithms to automate/optimize

-Experience with low to high development models

-One or more cloud or AI/ML certifications

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