Secret Sr Data Engineer II

Insight Global
Gates County, NC, United States
about 2 months ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
7 years minimum
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Data Architecture Data Cleansing Extract Transform Load (ETL) Data Systems Python (Programming Language) Machine Learning Cloudera SQL Databases Snowflake SC Clearance Information Technology
+4 more
Data Analytics Apache 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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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

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Integrating internal APIs and maintaining data sovereignty

Mahran Meißner Mahran Meißner · World Congress 2026 Europe

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Viktoria Semaan Viktoria Semaan · World Congress 2026 Europe

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Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

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Transforming data architecture from on-premise to cloud

Sandhya Menon Sandhya Menon · World Congress 2026 Europe

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Navigating technical clarity as a global black belt

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Executing LoRA fine-tuning using serverless Databricks AI runtimes

Viktoria Semaan Viktoria Semaan · World Congress 2026 Europe

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