Jr. Data Engineer-Top Secret cleared

BlueWater Federal Solutions

Tampa, FL, United States

6 days ago

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Starter

Experience required

1 year minimum

Working hours

Regular working hours

Job source

diversityjobs.com

Tech stack

Java (Programming Language) Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Business Analytics Applications Data Analysis Microsoft Azure Data Governance Extract Transform Load (ETL) Data Normalization R (Programming Language) Apache Hadoop

+30 more

Python (Programming Language) Machine Learning Operational Data Store Tensorflow Ruby Scala (Programming Language) Software Engineering SQL Databases Systems Integration Tableau (Software) Unstructured Data Rust (Programming Language) Jupyter Notebook Data Processing Google Cloud Data Storage Technologies Data Classification Pytorch Apache Spark Scikit Learn Information Technology Data Analytics Qlikview Data Management Data Lakehouse Restful APIs Stream Processing Data Pipelines Databricks Programming Languages

Job description

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.

Requirements

BA/BS in Data Management/Science/Analytics, Computer Sciences, Information Technology, or related fields is desired
Must be a US Citizen. Active TS clearance and SCI eligibility is required.
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.)