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Lead Data Analytics Engineer (Splunk) Job Opening In Laurel – Now Hiring CACI International


Job description

Lead Data Analytics Engineer (Splunk)

Job Category: Information Technology

Time Type: Full time

Minimum Clearance Required to Start: TS/SCI with Polygraph

Employee Type: Regular

Percentage of Travel Required: None

Type of Travel: None

* * *

**The Opportunity:**

CACI is seeking a Lead Data Analytics Engineer (Splunk) to play a crucial role in enhancing the performance and security of our Enterprise Infrastructure Services (EIS) and Domain Name Service (DNS).

You will be at the forefront of leveraging cutting-edge technologies, including machine learning and real-time monitoring tools, to provide valuable insights and drive improvements across our enterprise infrastructure.

Join us in this exciting role where you will have the opportunity to work with state-of-the-art technologies, solve complex challenges, and make a significant impact on our enterprise infrastructure.

Your expertise will be valued as we continue to innovate and secure our systems for the future.

**Responsibilities:**

+ Develop and maintain advanced analytics using Splunk to support EIS, DNS, and HAIPE initiatives
+ Collaborate closely with cross-functional teams to deliver data-driven solutions
+ Enhance and optimize real-time health and status monitoring tools
+ Contribute to the improvement of security and IT standards
+ Support Splunk cluster deployment and maturation

**Qualifications:**

**Required:**

+ Active TS/SCI clearance with Polygraph
+ Technical experience based on education level:
+ 4-12 years of experience, depending on education level (High School Diploma/GED to Doctorate)
+ All experience and education must be in a directly related technical field
+ Advanced experience with Splunk (frontend and backend)
+ Proficiency in Linux/RedHat v8/v9
+ Strong Python scripting skills
+ Experience with ETL processes and data analysis
+ Knowledge of systems engineering principles
+ IAT Level 2 Certification

**Desired** :

+ Experience with MongoDB
+ Familiarity with relational databases (MySQL, PostgreSQL, Oracle, etc.)
+ Background in machine learning and predictive analytics

This position is contingent on funding and may not be filled immediately.

However, this position is representative of positions within CACI that are consistently available.

Individuals who apply may also be considered for other positions at CACI.
**________________________________________________________________________________________**

**What You Can Expect:**

**A culture of integrity.**

At CACI, we place character and innovation at the center of everything we do.

As a valued team member, you’ll be part of a high-performing group dedicated to our customer’s missions and driven by a higher purpose – to ensure the safety of our nation.

**An environment of trust.**

CACI values the unique contributions that every employee brings to our company and our customers - every day.

You’ll have the autonomy to take the time you need through a unique flexible time off benefit and have access to robust learning resources to make your ambitions a reality.

**A focus on continuous growth.**

Together, we will advance our nation's most critical missions, build on our lengthy track record of business success, and find opportunities to break new ground — in your career and in our legacy.

**Your potential is limitless.** So is ours.

Learn more about CACI here.

(https://careers.caci.com/global/en/life-at-caci)

**________________________________________________________________________________________**

**Pay Range** : There are a host of factors that can influence final salary including, but not limited to, geographic location, Federal Government contract labor categories and contract wage rates, relevant prior work experience, specific skills and competencies, education, and certifications.

Our employees value the flexibility at CACI that allows them to balance quality work and their personal lives.

We offer competitive compensation, benefits and learning and development opportunities.

Our broad and competitive mix of benefits options is designed to support and protect employees and their families.

At CACI, you will receive comprehensive benefits such as; healthcare, wellness, financial, retirement, family support, continuing education, and time off benefits.

Learn more here (https://careers.caci.com/global/en/employee-benefits) .

The proposed salary range for this position is:

$120,800 - $265,800

_CACI is_ _an Equal Opportunity Employer._ _All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, age, national origin, disability, status as a protected veteran, or any_ _other protected characteristic._

Required Skill Profession

Other General


  • Job Details

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Real-time Lead Data Jobs Trends (Graphical Representation)

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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at CACI International adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying United States laws and regulations

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The average salary range for a varies, but the pay scale is rated "Standard" in Laurel. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

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Key qualifications for Lead Data Analytics Engineer (Splunk) typically include Other General and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Interview Tips for Lead Data Analytics Engineer (Splunk) Job Success

CACI International interview tips for Lead Data Analytics Engineer (Splunk)

Here are some tips to help you prepare for and ace your Lead Data Analytics Engineer (Splunk) job interview:

Before the Interview:

Research: Learn about the CACI International's mission, values, products, and the specific job requirements and get further information about

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Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

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Be Punctual: Arrive on time to demonstrate professionalism and respect.

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To prepare for your Lead Data Analytics Engineer (Splunk) interview at CACI International, research the company, understand the job requirements, and practice common interview questions.

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By following these tips, you can increase your chances of making a positive impression and landing the job!

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