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Data Engineering (Customer Experience | Data & Analytics Team) Job Opening In Cincinnati Ohio – Now Hiring Cybertec, Inc.


Job description

Data Engineering (Customer Experience | Data & Analytics Team)

This time around, the client is focused on candidates with strong technical leadership experience and the ability to bridge communication between business and engineering teams.

Key Instructions:

  • Send candidates with their video screening availability

  • Please submit only LOCAL candidates who can attend onsite interviews in Cincinnati, OH (Blue Ash).

  • This is a 12-month contract role

  • Work Setup: Hybrid – Onsite Monday–Thursday at BTD (11511 Reed Hartman Hwy, Blue Ash, OH 45241).


Profile Preferences:

We're looking for candidates with clear career progression and relevant leadership titles (e.g., Technical Lead, Lead Data Engineer, Data Architect, etc.).

Non-Negotiables:


  • Proven experience as a Technical Lead

  • Hands-on expertise in Databricks and Azure Synapse (Spark-based data processing)

  • Experience with Lakehouse architecture

  • Advanced BI skills (Adobe Analytics, Adobe Customer Journey Analytics)

  • Experience with Unity Catalog




  • Microsoft Certified: Azure Data Engineer Associate

  • Databricks Certified Data Engineer Professional


Eligible Work Authorizations: GC, USC, H4-EAD, GC-EAD, TN

Rate:$65/hr (Non Negotiable)

Interview Process:


  • Pre-screen with 5 custom data engineering questions (specific to this opening)

  • ONSITE Interview with Hiring Manager

  • Follow-up interview with 2–3 team members



Required Skill Profession

Other General


  • Job Details

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Unlock Your Data Engineering Potential: Insight & Career Growth Guide


Real-time Data Engineering 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 Engineering in Cincinnati, Ohio, United States, highlighting market share and opportunities for professionals in Data Engineering roles.

75772 Jobs in United States
75772
412 Jobs in Cincinnati, Ohio
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Download Data Engineering Jobs Trends in Cincinnati, Ohio and United States

Are You Looking for Data Engineering (Customer Experience | Data & Analytics Team) 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 Cybertec, 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 Engineering (Customer Experience | Data & Analytics Team) Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Cincinnati Ohio. 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 Data Engineering (Customer Experience | Data & Analytics Team) 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 Data Engineering (Customer Experience | Data & Analytics Team) Job Success

Cybertec, Inc. interview tips for Data Engineering (Customer Experience | Data & Analytics Team)

Here are some tips to help you prepare for and ace your Data Engineering (Customer Experience | Data & Analytics Team) job interview:

Before the Interview:

Research: Learn about the Cybertec, 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.

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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.

Additional Tips:

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 Engineering (Customer Experience | Data & Analytics Team) interview at Cybertec, 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 Cybertec, Inc.'s products or services and be prepared to discuss how you can contribute to their success.

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