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Data Engineer AI ML Pipeline Focus- VA Job Opening In Arlington – Now Hiring Telligen Tech, Inc


Job description

<p><b>Data Engineer AI/ML Pipeline Focus</b></p> <p><b>Arlington VA (Hybrid)</b></p> <p><b>Contract Duration: 6 -12 Months</b></p> <p style="text-align:start; text-indent:0px; -webkit-text-stroke-width:0px"><b>Work Experience: 5+ Years of experience</b></p> <p style="text-align:start; text-indent:0px; -webkit-text-stroke-width:0px"> </p> <p style="text-align:start; text-indent:0px; -webkit-text-stroke-width:0px"><b>Skills & Experience Requirements</b></p> <p style="text-align:start; text-indent:0px; -webkit-text-stroke-width:0px; margin-left:24px"> 5+ years of experience designing, developing, and maintaining large-scale data</p> <p style="text-align:start; text-indent:0px; -webkit-text-stroke-width:0px; margin-left:24px"> pipelines for AI/ML workloads.</p> <p style="text-align:start; text-indent:0px; -webkit-text-stroke-width:0px; margin-left:24px"> Strong proficiency in Python and SQL, with experience in distributed processing</p> <p style="text-align:start; text-indent:0px; -webkit-text-stroke-width:0px; margin-left:24px"> frameworks (Spark, Databricks).</p> <p style="text-align:start; text-indent:0px; -webkit-text-stroke-width:0px; margin-left:24px"> Hands-on experience with data ingestion, transformation, and feature engineering</p> <p style="text-align:start; text-indent:0px; -webkit-text-stroke-width:0px; margin-left:24px"> from heterogeneous sources (structured, unstructured, graph-based).</p> <p style="text-align:start; text-indent:0px; -webkit-text-stroke-width:0px; margin-left:24px"> Familiarity with cloud data platforms (AWS, Azure, or GCP) and CI/CD practices</p> <p style="text-align:start; text-indent:0px; -webkit-text-stroke-width:0px; margin-left:24px"> for data workflows.</p> <p style="text-align:start; text-indent:0px; -webkit-text-stroke-width:0px; margin-left:24px"> Experience working in regulated environments (e.g., healthcare, government) with</p> <p style="text-align:start; text-indent:0px; -webkit-text-stroke-width:0px; margin-left:24px"> knowledge of data security, lineage, and compliance requirements.</p> <p style="text-align:start; text-indent:0px; -webkit-text-stroke-width:0px"> </p> <p style="text-align:start; text-indent:0px; -webkit-text-stroke-width:0px">Preferred Qualifications</p> <p style="text-align:start; text-indent:0px; -webkit-text-stroke-width:0px; margin-left:24px"> Prior experience with FDA imports, customs, or supply chain data pipelines.</p> <p style="text-align:start; text-indent:0px; -webkit-text-stroke-width:0px; margin-left:24px"> Familiarity with entity resolution, product classification, and risk scoring systems.</p> <p style="text-align:start; text-indent:0px; -webkit-text-stroke-width:0px; margin-left:24px"> Experience building ingestion and transformation logic for regulatory datasets such</p> <p style="text-align:start; text-indent:0px; -webkit-text-stroke-width:0px; margin-left:24px"> as OASIS, PREDICT, or Center-specific compliance databases.</p> <p style="text-align:start; text-indent:0px; -webkit-text-stroke-width:0px; margin-left:24px"> Knowledge of handling sensitive government data in compliance with FedRAMP and FISMA</p>

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 Arlington, United States, highlighting market share and opportunities for professionals in Data Engineer roles.

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Are You Looking for Data Engineer AI ML Pipeline Focus VA 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 Telligen Tech, Inc 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 AI ML Pipeline Focus VA Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Arlington. 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 AI ML Pipeline Focus VA?

Key qualifications for Data Engineer AI ML Pipeline Focus VA 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 AI ML Pipeline Focus VA Job Success

Telligen Tech, Inc interview tips for Data Engineer AI ML Pipeline Focus  VA

Here are some tips to help you prepare for and ace your Data Engineer AI ML Pipeline Focus VA job interview:

Before the Interview:

Research: Learn about the Telligen Tech, Inc'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.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

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

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Be Yourself: Let your personality shine through while maintaining professionalism.

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Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Data Engineer AI ML Pipeline Focus VA interview at Telligen Tech, Inc, 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 Telligen Tech, Inc'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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