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Senior Data Engineer
KBR Inc Colorado, CO
$90k-117k (estimate)
Full Time | Business Services 2 Weeks Ago
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KBR Inc is Hiring a Senior Data Engineer Near Colorado, CO

Job Details

Title:
Senior Data Engineer
The KBR team in Colorado Springs, CO is seeking a highly motivated Senior Data Engineer to join us in supporting our great nation, specifically on the Air Force Tactical Exploitation of National Capabilities (TENCAP) HOPE contract.
Air Force TENCAP exploits National capabilities to deliver rapid, cost-dominant, and innovative warfighting solutions. This is accomplished by analyzing emerging technologies, build partnerships with industry and academia, and prioritizing urgent operational needs.
The Senior Data Engineer will play a key role in designing, implementing, and maintaining data pipelines to support our organization's data-driven projects and initiatives. This position requires a strong foundation in data engineering concepts, proficiency in relevant technologies, and the ability to collaborate with cross-functional teams to deliver scalable and efficient data solutions.
Work Location: Colorado Springs, CO - Hybrid
Security Clearance: Active TS/SCI or Active TS with T5/SSBI within last two years.
Required Experience and Education:
BS degree in Computer Science, Mathematics, Statistics or Data Science. Other degrees will be considered with relevant work experience
U.S. Citizenship is required for this position
Required Skills:
Strong understanding of data engineering principles, data modeling, and data architecture
Proficiency in designing and implementing data flows using Apache NiFi, including creating and configuring processors, connecting to databases, and integrating with other tools and technologies
Experience with developing scalable ETL and ELT workflows for reporting and analytics
Experience with designing, developing, operationalizing, and maintaining complex data applications at enterprise scale
Experience with programming (scripting) languages (i.e. Bash, Python, .Net or Java)
Experience as a Data Engineer supporting single or multiple domain areas
Experience with Apache open-source products (i.e. Kafka, Zookeeper, Spark)
Develop and implement methods of automation and optimization of data and products to present to upper management
Familiarity with modern database technologies and tools, showcasing the ability to adapt to evolving data storage and management needs
Proficiency in at least one database language such as SQL, with hands-on experience in writing complex queries
Ability to combine a diverse set of data sources containing multiple forms of information including, but not limited to, Open Source, Publicly Available Information (PAI), Commercially Available Information (CAI), and intelligence records to provide technical information to produce data packages
Demonstrate effective communication skills to relay technical findings, and data products for both technical and non-technical customers
Demonstrated ability to use technical and analytic skills to solve complex problems
Desired Skills:
DoD 8140 Cyber Workforce Basic Qualification (CompTIA Security CE or equivalent)
Experience with XML Schemas
Understanding of real-time data streaming concepts and experience with stream processing frameworks like Apache Kafka Streams or Apache Flink
Experience with cloud platforms like AWS, Azure, or Google Cloud Platform, including knowledge of cloud-based data storage, compute, and analytics services
Experience working in an Agile development environment, using tools like Jira or Confluence, and following Agile methodologies like Scrum or Kanban
Understanding of Continuous Integration and Deployment (CI/CD) pipelines and experience with tools like Git, Jenkins, or Bamboo for version control, automated testing, and deployment
Linux System Administrator
Software development experience (i.e. C , Java, C)
Experience with Kubernetes / Docker
Hands-on experience using commercially available data exploitation and visualization tools for analysis (e.g., MS Excel, Tableau, Power BI, Wireshark)
Knowledge of National Intelligence Agencies and Department of Defense elements
Experience leading projects w/ up to 5 team members
Basic Compensation: $140k - $185k
The offered rate will be based on the selected candidate's knowledge, skills, abilities and/or experience and in consideration of internal parity.
Additional Compensation:
KBR may offer bonuses, commissions, or other forms of compensation to certain job titles or levels, per internal policy or contractual designation. Additional compensation may be in the form of sign on bonus, relocation benefits, short term incentives, long term incentives, or discretionary payments for exceptional performance.
KBR is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, disability, sex, sexual orientation, gender identity or expression, age, national origin, veteran status, genetic information, union status and/or beliefs, or any other characteristic protected by federal, state, or local law.

Job Summary

JOB TYPE

Full Time

INDUSTRY

Business Services

SALARY

$90k-117k (estimate)

POST DATE

05/01/2024

EXPIRATION DATE

05/14/2024

WEBSITE

kbr.com

HEADQUARTERS

AUSTIN, TX

SIZE

15,000 - 50,000

FOUNDED

2006

CEO

JUAN VILLARDIA

REVENUE

$5B - $10B

INDUSTRY

Business Services

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About KBR Inc

We deliver science, technology and engineering solutions to governments and companies around the world. KBR employs approximately 29,000 people worldwide with customers in more than 80 countries and operations in 40 countries. KBR is proud to work with its customers across the globe to provide technology, value-added services, and long-term operations and maintenance services to ensure consistent delivery with predictable results. At KBR, We Deliver.

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The job skills required for Senior Data Engineer include Analysis, etc. Having related job skills and expertise will give you an advantage when applying to be a Senior Data Engineer. That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Senior Data Engineer. Select any job title you are interested in and start to search job requirements.

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The following is the career advancement route for Senior Data Engineer positions, which can be used as a reference in future career path planning. As a Senior Data Engineer, it can be promoted into senior positions as a CAE Designer IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Senior Data Engineer. You can explore the career advancement for a Senior Data Engineer below and select your interested title to get hiring information.

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If you are interested in becoming a Senior Data Engineer, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Senior Data Engineer for your reference.

Step 1: Understand the job description and responsibilities of an Accountant.

Quotes from people on Senior Data Engineer job description and responsibilities

The Senior Data Engineer builds data processing frameworks that handle the business’s growing database.

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The Senior Data Engineer owns and extends the business’s data pipeline through the collection, storage, processing, and transformation of large data-sets.

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Create architecture for real-time, big data applications with minimal maintenance effort.

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Work with both structured and unstructured data, with focus on ETL (Extract, Transfer, Load) and stabilizing pipelines and code.

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Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.

Career tips from people on Senior Data Engineer jobs

Apply for an entry-level data engineer role and gain experience.

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Earn a bachelor’s degree related to data engineering and begin working on projects.

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Consider pursuing additional professional engineering or big data certifications.

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Gain knowledge with new data architecture principles and concepts, thorough understanding of layered systems architectures.

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Senior data engineers should also have an understanding of other programming languages that help with statistical analysis and modeling, such as Python.

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Step 3: View the best colleges and universities for Senior Data Engineer.

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