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Data Engineer Senior w/Polygraph Job Opening In McLean – Now Hiring GDIT


Job description

Job Description:

Deliver insights to help our clients turn data into action as a Data Engineer Senior at GDIT.

Your work will provide transformative solutions to our clients’ big-data obstacles and help advance the mission.

Here, you can make a meaningful impact on our clients’ mission and on your career.

At GDIT, people are our differentiator.

As a Data Engineer Senior you will help ensure today is safe and tomorrow is smarter.

Our work depends on Data Engineer Senior joining our team to manipulate data and data flows for both existing and new systems.

A successful data engineer will provide support in the areas of data extraction, transformation, and load (ETL), data mapping, data extraction, analytical support, operational support, database support, and maintenance support of data and associated systems.

As a member of the team, a successful data engineer will work in a multi-tasking, quick-paced, dynamic, process-improvement environment that requires experience with the principles of large-scale (terabytes) database development, large-scale file manipulation, data modeling, data mapping, data testing, data quality, and documentation preparation.


WHAT YOU’LL NEED TO SUCCEED:


● Education: Bachelor’s Degree in Computer Science, Electrical or Computer Engineering or a related technical discipline, or the equivalent combination of education, technical training, or work/military experience
● Required Experience: 5+ years of related software engineering and ETL experience
● Required Technical Skills:

  • Experience building and maintaining data flows in NiFi, Pentaho, or Spark.
  • Excellent organizational, coordination, interpersonal and team building skills.
  • Familiarization with NoSQL datastores.

● Security Clearance Level: TS/SCI with Poly
● Required Skills and Abilities:

  • Research, design, develop and/or modifies enterprise-wide systems and/or application software.
  • Develop complex data flows, or makes significant enhancements to existing pipelines.
  • Resolves complex hardware/software compatibility and interface design considerations.
  • Conducts investigations and tests of considerable complexity.
  • Provides input to staff involved in writing and updating technical documentation.
  • Troubleshoots complex problems and provides customer support for the ETL process.
  • Prepares reports on analyses, findings, and project progress.
  • Provides guidance and work leadership to less-experienced software engineers.
  • Familiarization executing jobs in Big Data Technologies (i.e., Hadoop or Spark).
  • Experience with the following languages: Java/J2EE, SQL, XML, XQuery, XPath, Python, Shell Scripting, JSON.
  • Knowledge of servers operating systems; Windows, Linux, Distributed Computing, and cloud infrastructure.
  • Strong problem-solving skills.
  • Ability to comprehend database methodologies.
  • Focus on continual process improvement with a proactive approach to problem solving.
  • Ability to follow directions and finish tasks.

● Location: On Customer Site

GDIT IS YOUR PLACE:
● 401K with company match
● Comprehensive health and wellness packages
● Internal mobility team dedicated to helping you own your career
● Professional growth opportunities including paid education and certifications
● Cutting-edge technology you can learn from
● Rest and recharge with paid vacation and holidays

#CJPost

#OpportunityOwned

#GDITCareers

#WeAreGDIT

#JET

The likely salary range for this position is $120,700 - $163,300.

This is not, however, a guarantee of compensation or salary.

Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.

Scheduled Weekly Hours:

40

Travel Required:

Less than 10%

Telecommuting Options:

Onsite

Work Location:

USA VA McLean

Required Skill Profession

Computer Occupations


  • Job Details

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Unlock Your Data Engineer Potential: Insight & Career Growth Guide


Real-time Data Engineer Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Data Engineer in McLean, United States, highlighting market share and opportunities for professionals in Data Engineer roles.

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Are You Looking for Data Engineer Senior w/Polygraph Job?

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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 GDIT 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

What Is the Average Salary Range for Data Engineer Senior w/Polygraph Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in McLean. 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.

What Are the Key Qualifications for Data Engineer Senior w/Polygraph?

Key qualifications for Data Engineer Senior w/Polygraph typically include Computer Occupations 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 Data Engineer Senior w/Polygraph Job Success

GDIT interview tips for Data Engineer Senior w/Polygraph

Here are some tips to help you prepare for and ace your Data Engineer Senior w/Polygraph job interview:

Before the Interview:

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

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

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

During the Interview:

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

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

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Follow Up: Send a thank-you email to the interviewer within 24 hours.

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Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Data Engineer Senior w/Polygraph interview at GDIT, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the GDIT's products or services and be prepared to discuss how you can contribute to their success.

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

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