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Jr. Data Engineer-Top Secret cleared

BlueWater Federal Solutions

Tampa, Florida • Today

Full-time

Job Details

Skills

Unstructured Data
Real-time
Reporting
DoD
Data Governance
Meta-data Management
Regulatory Compliance
Access Control
Storage
Emerging Technologies
Data Processing
Business Analysis
Business Analytics
Data Management
Science
Computer Science
Information Technology
Security Clearance
Extract
Transform
Load
ELT
Workflow
SQL
Programming Languages
Data Manipulation
Data Storage
Apache Spark
Apache Hadoop
Normalization
Visualization
Dashboard
Jupyter
Databricks
Tableau
Data Analysis
Cloud Computing
Microsoft Azure
Amazon Web Services
Google Cloud
Google Cloud Platform
Analytics
Artificial Intelligence
Machine Learning (ML)
TensorFlow
PyTorch
scikit-learn
Software Engineering
Python
Ruby
R
Java
Scala
Rust
Law

Unstructured Data
Real-time
Reporting
DoD
Data Governance
Meta-data Management
Regulatory Compliance
Access Control
Storage
Emerging Technologies
Data Processing
Business Analysis
Business Analytics
Data Management
Science
Computer Science
Information Technology
Security Clearance
Extract
Transform
Load
ELT
Workflow
SQL
Programming Languages
Data Manipulation
Data Storage
Apache Spark
Apache Hadoop
Normalization
Visualization
Dashboard
Jupyter
Databricks
Tableau
Data Analysis
Cloud Computing
Microsoft Azure
Amazon Web Services
Google Cloud
Google Cloud Platform
Analytics
Artificial Intelligence
Machine Learning (ML)
TensorFlow
PyTorch
scikit-learn
Software Engineering
Python
Ruby
R
Java
Scala
Rust
Law

Summary

Overview

BlueWater Federal is looking for a Jr. Data Engineer to support CENTCOM at MacDill AFB. As a Data Engineer, you will design, implement, and maintain data pipelines for ingesting, transforming, and storing structured and unstructured data from diverse sources. ship and active Top Secret clearance required.

Responsibilities

Design, implement, and maintain data pipelines for ingesting, transforming, and storing structured and unstructured data from diverse sources.
Connect to authoritative data sources via APIs (e.g., REST APIs) to ingest data into a data lakehouse architecture for further processing and storage.
Automate Extract, Transform, and Load/Extract, Load, and Transform (ETL/ELT) workflows to enable real-time or near-real-time data processing.
Curate ingested data into structured datasets optimized for analytics and reporting.
Implement and enforce DoD-compliant data governance frameworks, including metadata tagging and data classification.
Monitor and improve compliance with data policies and access control protocols.
Optimize the storage and retrieval of data to ensure seamless integration with analytics platforms and dashboards.
Support analytics initiatives using tools like Jupyter Notebooks, Databricks, Qlik, Palantir Foundry, Tableau, and other platforms.
Partner with mission teams to understand operational data requirements and translate them into technical solutions.
Explore and implement emerging technologies such as machine learning (ML) tools and AI frameworks to improve data processing and insights.

Qualifications

BA/BS in Data Management/Science/Analytics, Computer Sciences, Information Technology, or related fields is desired
1+ years of Data Analysis experience
Experience in building data pipelines, ETL/ELT workflows, and data storage solutions.
Experience connecting to authoritative data sources via APIs (e.g., REST APIs) and integrating that data into data lakehouses or similar architectures. Proficiency in Python, SQL, and/or other programming languages for data manipulation.
Hands-on experience with data storage and processing tools such as Apache Spark, Databricks, Hadoop, or similar.
Experience with data normalization, mining/aggregation, and visualization
Experience with operational dashboard design, development, and use
Familiarity with one or more of the following: Jupyter Notebooks, Databricks, Qlik, Palantir Foundry, Tableau, and/or similar data analytics platforms.

Desired

Expertise in Experience with cloud platforms (e.g., Azure, AWS, Google Cloud) and related services.
Experience with implementing data lakehouse architectures and integrating multiple analytics platforms.
Familiarity with AI/ML concepts and tools like TensorFlow, PyTorch, or Scikit-learn.
Experience with / knowledge of software engineering / languages (Python, Ruby, R, Java, Scala, Rust, etc.)

BlueWater Federal is proud to be an Equal Opportunity Employer. All qualified candidates will be considered without regard to race, color, religion, national origin, age, disability, sexual orientation, gender identity, status as a protected veteran, or any other characteristic protected by law. BlueWater Federal is a VEVRAA federal contractor and we request priority referral of veterans.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10338773
Position Id: 4514a89c1025a1e5d4de4a9391a77bfa
Posted 30+ days ago

Fitment

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Job Details

Skills

Unstructured Data
Real-time
Reporting
DoD
Data Governance
Meta-data Management
Regulatory Compliance
Access Control
Storage
Emerging Technologies
Data Processing
Business Analysis
Business Analytics
Data Management
Science
Computer Science
Information Technology
Security Clearance
Extract
Transform
Load
ELT
Workflow
SQL
Programming Languages
Data Manipulation
Data Storage
Apache Spark
Apache Hadoop
Normalization
Visualization
Dashboard
Jupyter
Databricks
Tableau
Data Analysis
Cloud Computing
Microsoft Azure
Amazon Web Services
Google Cloud
Google Cloud Platform
Analytics
Artificial Intelligence
Machine Learning (ML)
TensorFlow
PyTorch
scikit-learn
Software Engineering
Python
Ruby
R
Java
Scala
Rust
Law

Unstructured Data
Real-time
Reporting
DoD
Data Governance
Meta-data Management
Regulatory Compliance
Access Control
Storage
Emerging Technologies
Data Processing
Business Analysis
Business Analytics
Data Management
Science
Computer Science
Information Technology
Security Clearance
Extract
Transform
Load
ELT
Workflow
SQL
Programming Languages
Data Manipulation
Data Storage
Apache Spark
Apache Hadoop
Normalization
Visualization
Dashboard
Jupyter
Databricks
Tableau
Data Analysis
Cloud Computing
Microsoft Azure
Amazon Web Services
Google Cloud
Google Cloud Platform
Analytics
Artificial Intelligence
Machine Learning (ML)
TensorFlow
PyTorch
scikit-learn
Software Engineering
Python
Ruby
R
Java
Scala
Rust
Law

Summary

Design, implement, and maintain data pipelines for ingesting, transforming, and storing structured and unstructured data from diverse sources.
Connect to authoritative data sources via APIs (e.g., REST APIs) to ingest data into a data lakehouse architecture for further processing and storage.
Automate Extract, Transform, and Load/Extract, Load, and Transform (ETL/ELT) workflows to enable real-time or near-real-time data processing.
Curate ingested data into structured datasets optimized for analytics and reporting.
Implement and enforce DoD-compliant data governance frameworks, including metadata tagging and data classification.
Monitor and improve compliance with data policies and access control protocols.
Optimize the storage and retrieval of data to ensure seamless integration with analytics platforms and dashboards.
Support analytics initiatives using tools like Jupyter Notebooks, Databricks, Qlik, Palantir Foundry, Tableau, and other platforms.
Partner with mission teams to understand operational data requirements and translate them into technical solutions.
Explore and implement emerging technologies such as machine learning (ML) tools and AI frameworks to improve data processing and insights.

Qualifications

BA/BS in Data Management/Science/Analytics, Computer Sciences, Information Technology, or related fields is desired
1+ years of Data Analysis experience
Experience in building data pipelines, ETL/ELT workflows, and data storage solutions.
Experience connecting to authoritative data sources via APIs (e.g., REST APIs) and integrating that data into data lakehouses or similar architectures. Proficiency in Python, SQL, and/or other programming languages for data manipulation.
Hands-on experience with data storage and processing tools such as Apache Spark, Databricks, Hadoop, or similar.
Experience with data normalization, mining/aggregation, and visualization
Experience with operational dashboard design, development, and use
Familiarity with one or more of the following: Jupyter Notebooks, Databricks, Qlik, Palantir Foundry, Tableau, and/or similar data analytics platforms.

Desired

Expertise in Experience with cloud platforms (e.g., Azure, AWS, Google Cloud) and related services.
Experience with implementing data lakehouse architectures and integrating multiple analytics platforms.
Familiarity with AI/ML concepts and tools like TensorFlow, PyTorch, or Scikit-learn.
Experience with / knowledge of software engineering / languages (Python, Ruby, R, Java, Scala, Rust, etc.)

Dice Id: 10338773
Position Id: 4514a89c1025a1e5d4de4a9391a77bfa
Posted 30+ days ago

Fitment

Dice Job Match Score™

To see how well you match this job, please log in or create an account.

Once logged in, be sure to complete your profile to get the most accurate match score.

Create job alert

Never miss an opportunity! Create an alert based on the job you applied for.

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