Cloudera Integration Development Data Engineer

Ogden, UT, US • Posted 2 hours ago • Updated 2 hours ago

Contract W2

On-site

Fitment

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Job Details

Skills

Adobe AIR
Modeling
Decision Support
Leadership
Normalization
Dashboard
Data Quality
Analytical Skill
Use Cases
Documentation
Technical Support
Scalability
Collaboration
Computer Science
Information Systems
Security Clearance
Amazon Web Services
Data Analysis
Microsoft Azure
Data Management
Big Data
Data Processing
Cloudera
Apache Hadoop
Apache Spark
Apache Hive
Cloudera Impala
ELT
Orchestration
Data Architecture
Data Modeling
Meta-data Management
Data Governance
Extract
Transform
Load
Optimization
Data Engineering
Scripting
Python
SQL
Scala
Quality Assurance
Reporting
Technical Communication
Analytics
Management
Data Integration
Data Integrity

Summary

Position Summary
Command Cyber Solutions LLC (CCS) is seeking a Cloudera Integration Development Data Engineer to support enterprise data integration and analytics initiatives at Hill Air Force Base. This role is responsible for developing and maintaining scalable data ingestion pipelines, performing data transformation and modeling, and enabling analytics capabilities within the Cloudera platform environment. The engineer will support the integration of enterprise data sources into Cloudera-based analytic environments to enhance operational visibility, reporting, and decision support capabilities. The role works closely with stakeholders, engineering teams, and program leadership to validate data requirements, implement integration solutions, and ensure data quality and reliability across the analytics ecosystem. The successful candidate will have experience designing and implementing data pipelines, transforming large datasets, and supporting analytic environments within modern data platforms. The position requires strong collaboration skills and the ability to operate in a mission-driven government environment supporting enterprise data initiatives and operational analytics deliverables.
Essential Duties & Responsibilities:

Design, develop, and maintain data ingestion pipelines that integrate enterprise data sources into the Cloudera platform environment.
Perform data modeling, transformation, and normalization to support analytics, reporting, and operational dashboards.
Implement data integration solutions that enable scalable analytics environments supporting enterprise data initiatives.
Analyze data quality, integrity, and consistency across multiple data sources and implement remediation strategies where necessary.
Coordinate with stakeholders and technical teams to define data requirements, integration specifications, and analytic use cases.
Support the development and maintenance of enterprise analytics environments within the Cloudera platform.
Develop and maintain documentation related to data pipelines, schemas, and integration processes.
Support engineering and analytics teams with data preparation and transformation activities required for dashboarding and reporting initiatives.
Assist in identifying opportunities to improve data pipeline performance, scalability, and reliability.
Collaborate with Government stakeholders, engineers, and analysts to ensure data integration solutions support mission requirements and operational objectives.

Education, Certification & Experience Requirements
Education Required:

Bachelor's degree in Computer Science, Data Engineering, Information Systems, or related technical discipline, or equivalent professional experience.

Certifications Required:

Active Secret clearance (Required)
Cloudera Certified Associate (CCA) Data Analyst or Data Engineer or ability to obtain within 90-days of hire (Required).
AWS Certified Data Analytics (Preferred).
Azure Data Engineer Associate (Preferred).
Certified Data Management Professional (CDMP) (Preferred).

Experience Required:

7+ years of professional experience supporting data engineering, data integration, or analytics platform development.
Experience working with enterprise data platforms or big data ecosystems.
Experience designing and maintaining data pipelines and ETL/ELT processes.
Experience supporting data integration and analytics initiatives within large-scale enterprise environments.

Knowledge, Skills & Abilities:
Knowledge:

Big data platforms and distributed data processing frameworks including Cloudera, Hadoop ecosystem technologies, Spark, Hive, or Impala.
Data integration and transformation methodologies including ETL/ELT pipelines and data orchestration practices.
Enterprise data architecture concepts including data modeling, schema design, metadata management, and data governance practices.

Skills:

Data pipeline development and optimization using modern data engineering tools and scripting languages such as Python, SQL, or Scala.
Data transformation and quality analysis to support analytics platforms and enterprise reporting capabilities.
Technical communication skills capable of translating complex data requirements into actionable engineering tasks.

Abilities:

Ability to work collaboratively across engineering, analytics, and stakeholder teams to deliver integrated data solutions.
Ability to analyze complex datasets and design scalable solutions that support enterprise analytics objectives.
Ability to manage multiple data integration activities while maintaining accuracy, performance, and data integrity.

#SNIT

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: snibot
Position Id: 391644
Posted 2 hours ago

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