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Azure Big Data Engineer Jobs in Colorado (NOW HIRING)

SAIC

Data Log Engineer

Colorado Springs, CO · On-site

$120K - $160K/yr

Familiarity with engineering data pipelines for the DoD Big Data Platform (BDP) or similar ... enterprise data lakes. * Knowledge of adversary tactics, techniques, and procedures (TTPs) and ...

GEI Consultants

Data Engineer

Denver, CO · On-site

$117K - $141K/yr

The Data Engineer is responsible for designing, building, and maintaining the data pipelines and ... Experience with Azure data services, including Azure Data Factory, Azure Synapse Analytics, Azure ...

GEI Consultants

Data Engineer

Denver, CO

$90K - $150K/yr

The Data Engineer is responsible for designing, building, and maintaining the data pipelines and ... Experience with Azure data services, including Azure Data Factory, Azure Synapse Analytics, Azure ...

Quantix

DevOps Engineer (Big Data)

Denver, CO · On-site

$54.25 - $74.25/hr

... Engineer (Big Data) Location: Denver, CO Type: Direct Hire Client located in Denver, Colorado is seeking a DevOps Engineer with a Big Data focus for a direct hire position. This position will ...

Quantix

DevOps Engineer (Big Data)

Denver, CO · On-site

$54.25 - $74.25/hr

... Engineer with a Big Data focus to join a team of developers in designing and supporting systems for processing large volumes of real-time data. Responsibilities : • designing, developing ...

Schnabel

Data Engineer

Aurora, CO · On-site

$105K - $135K/yr

Schnabel is seeking a Data Engineer to join our team in Sterling, VA or Denver, CO. This role has ... Develop and manage ETL/ELT processes using Azure data services (e.g., Azure Data Factory or ...

Schnabel

Data Engineer

Aurora, CO

Schnabel is seeking a Data Engineer to join our team in Sterling, VA or Denver, CO. This role has ... Develop and manage ETL/ELT processes using Azure data services (e.g., Azure Data Factory or ...

Vantage Data Centers

Mid- Level Data Engineer

Denver, CO

$117K - $141K/yr

As part of the Data Engineering & Business Intelligence team, you will be responsible for ... Work with Azure (dedicated or serverless where applicable) to support analytical workloads and data ...

Quantix

DevOps Engineer (Big Data)

Denver, CO · On-site

$54.25 - $74.25/hr

... Engineer with a Big Data focus to join a 20-person development team. The role involves designing, developing, implementing, and supporting systems that handle large-scale real-time data processing.

Vantage Data Centers

Mid- Level Data Engineer

Denver, CO · On-site

$117K - $141K/yr

As part of the Data Engineering & Business Intelligence team, you will be responsible for ... Work with Azure (dedicated or serverless where applicable) to support analytical workloads and data ...

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Showing results 21-40

All JobsAzure Big Data Engineer JobsAzure Big Data Engineer Jobs in Colorado

Azure Big Data Engineer information

What does an Azure Big data engineer do?

An Azure Big Data Engineer is responsible for designing, building, and managing big data solutions using Microsoft Azure cloud technologies. They focus on processing large volumes of data, creating data pipelines, and ensuring data is stored and analyzed efficiently. Their work often involves tools such as Azure Data Lake, Azure Databricks, Azure Synapse Analytics, and Azure Data Factory. Azure Big Data Engineers collaborate with data scientists, analysts, and other IT professionals to enable data-driven decision-making within organizations.

What are the key skills and qualifications needed to thrive as an Azure Big data engineer?

To thrive as an Azure Big Data Engineer, you need expertise in data engineering, cloud computing, and programming languages such as Python or Scala, typically supported by a degree in computer science or a related field. Familiarity with Azure Data Services (like Azure Data Lake, Azure Synapse Analytics, and Azure Databricks), as well as certifications like Microsoft Certified: Azure Data Engineer Associate, is highly valuable. Strong analytical thinking, problem-solving, and communication skills help you collaborate effectively with cross-functional teams and translate business needs into technical solutions. These skills and qualities are essential for building scalable, reliable data pipelines that drive business insights and innovation in cloud environments.

What are some common challenges Azure big data engineers face when integrating multiple data sources?

Azure Big Data Engineers often encounter challenges such as ensuring data consistency and quality when integrating disparate data sources like on-premises databases, cloud storage, and third-party APIs. Handling varying data formats and latency issues can also complicate data pipelines. To overcome these challenges, engineers typically use Azure Data Factory for orchestration, implement robust data validation, and collaborate closely with data architects and business analysts to align on integration requirements.
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Azure Big Data Engineer jobs near you

Data Log Engineer

Science Applications International Corporation

Colorado Springs, CO

$112K - $135K/yr

Full-time

Posted 9 days ago

SAIC rating

7.9

Company rating: 7.9 out of 10

Based on 79 frontline employees who took The Breakroom Quiz

78th of 223 rated it services

Job description

Join SAIC's team and play a pivotal role in defending North America. We are seeking an experienced Log Data Engineer onsite in Colorado Springs, CO to manage the scaling, performance, ingestion pipelines, and analytical detection rules of N&NC's multi-enclave Security Information and Event Management (SIEM) and monitoring architectures for the critical North American Aerospace Defense Command and United States Northern Command (N&NC) Information Technology (IT) Enterprise Services (NITES) contract.

In this role, you will streamline security operations by decoupling complex cyber-data engineering, such as parser creation, index policy management, data routing, and telemetry forwarding, from front-line SIEM security analysts. Your highly specialized work ensures that the team operates with optimal, high-fidelity log feeds, lightning-fast search capabilities, and stable, compliant log forwarding to the DoD Big Data Platform (BDP), providing N&NC leadership with reliable, real-time cyber situational awareness.

Responsibilities: 

  • Design, deploy, and maintain custom data parsers and ingestion pipelines within the Security Onion architecture to normalize and ingest-route security telemetry across five separate security networks (NIPRNet, SIPRNet, SIPR-REL, NEN, and CENTRIXS-Mex), preventing data corruption or ingestion gaps.
  • Engineer and implement indexing policies, lifecycle management rules, and cluster configurations to handle massive volumes of incoming events, maximizing local storage retention and guaranteeing optimal database performance during high-urgency security incident queries.
  • Configure and optimize high-throughput forwarding pipelines to securely transmit cyber telemetry to the DoD Big Data Platform (BDP) and other DoD-approved Enterprise services without disrupting local network operations.
  • Engineer, test, and refine automated alarm rules and Intrusion Detection System (IDS) signatures to counter emerging threats and active adversary tactics.
  • Continuously calibrate the SIEM to ensure it captures advanced threats while filtering out noisy, irrelevant alerts.
SAIC is a premier mission integrator focused on advancing the power of technology and innovation to serve and protect our world. Our robust portfolio of offerings across the defense, space, intelligence, and civilian markets includes secure high-end solutions in mission IT, enterprise IT, engineering services, and professional services. We integrate emerging technology, rapidly and securely, into mission critical operations that modernize and enable critical national imperatives.

We are approximately 23,000 strong; driven by mission, united by purpose, and inspired by opportunities. SAIC is an Equal Opportunity Employer. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $7.3 billion. For more information, visit saic.com. For ongoing news, please visit our newsroom.

Required Qualifications:

  • Active TS/SCI security clearance.
  • Certification required per DoDD 8140.03, Intermediate Level (ISC2 SSCP or GIAC GSEC) or Advanced Level (ISACA CISM, ISC2 CISSP, or GIAC GSLC).
  • BS or equivalent work experience in Data Engineering, Information Assurance, Cybersecurity, or Systems Administration field.
  • 9+ years of overall IT, cybersecurity, or data engineering experience.
  • Demonstrated experience in cyber-data engineering, including log parser creation, index policy management, data routing, and telemetry forwarding.

Desired Qualifications:

  • Extensive experience configuring and maintaining Security Onion architectures.
  • Familiarity with engineering data pipelines for the DoD Big Data Platform (BDP) or similar enterprise data lakes.
  • Knowledge of adversary tactics, techniques, and procedures (TTPs) and experience translating them into IDS rules and SIEM alerts.
  • Previous experience operating in a highly complex, metrics-driven DoD cybersecurity environment.

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