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Sr. Data Engineer - W2 Job Opening In Pleasanton – Now Hiring Tricon Solutions


Job description

<p><strong>Position</strong>: Senior Data Engineer</p> <p><strong>Location</strong>: Pleasanton, CA</p> <p><strong>Type</strong>: Contract-W2 (Ongoing)</p> <p><strong>Interview Process</strong>: 1-2 technical interviews followed by in person</p> <p data-end="254" data-start="218"> </p> <p data-end="254" data-start="218"><strong data-end="252" data-start="218">Overview</strong></p> <p data-end="572" data-start="256">We are seeking a <strong data-end="297" data-start="273">Senior Data Engineer</strong> to help design, build, and deliver robust data solutions for our clients across multiple industries.

In this role, you’ll collaborate closely with client teams to gather requirements, architect scalable data pipelines, and implement solutions that drive business insights.</p> <p data-end="815" data-start="574">This position is ideal for a candidate with a <strong data-end="660" data-start="620">solid foundation in data engineering</strong>, proven hands-on experience with modern data platforms and tools, and the ability to tackle complex data challenges in a dynamic consulting environment.</p> <h3 data-end="636" data-start="606"><strong data-end="634" data-start="610">Key Responsibilities</strong></h3> <ul data-end="1546" data-start="637"> <li data-end="744" data-start="637"> <p data-end="744" data-start="639">Partner with clients to understand their business needs and create tailored data engineering solutions.</p> </li> <li data-end="891" data-start="745"> <p data-end="891" data-start="747">Architect, build, and maintain <strong data-end="845" data-start="778">scalable data pipelines, ETL/ELT workflows, and data warehouses</strong> to enable advanced analytics and reporting.</p> </li> <li data-end="994" data-start="892"> <p data-end="994" data-start="894">Assess and audit data quality, integrity, and performance, recommending improvements where needed.</p> </li> <li data-end="1107" data-start="995"> <p data-end="1107" data-start="997">Lead and mentor data engineers and analysts, providing <strong data-end="1074" data-start="1052">technical guidance</strong> throughout project lifecycles.</p> </li> <li data-end="1194" data-start="1108"> <p data-end="1194" data-start="1110">Optimize and tune <strong data-end="1158" data-start="1128">data pipelines and queries</strong> for maximum efficiency and speed.</p> </li> <li data-end="1306" data-start="1195"> <p data-end="1306" data-start="1197">Develop and maintain <strong data-end="1266" data-start="1218">documentation, standards, and best practices</strong> for all data engineering initiatives.</p> </li> <li data-end="1435" data-start="1307"> <p data-end="1435" data-start="1309">Stay informed on <strong data-end="1355" data-start="1326">emerging tools and trends</strong> in data engineering, advising clients on best practices and new technologies.</p> </li> <li data-end="1546" data-start="1436"> <p data-end="1546" data-start="1438">Support <strong data-end="1478" data-start="1446">business development efforts</strong> by contributing to proposals, presentations, and client meetings.</p> </li>
</ul> <hr data-end="1551" data-start="1548" />
<h3 data-end="1592" data-start="1553"><strong data-end="1590" data-start="1557">Qualifications & Requirements</strong></h3> <ul data-end="2478" data-start="1593"> <li data-end="1684" data-start="1593"> <p data-end="1684" data-start="1595">Bachelor’s or Master’s degree in <strong data-end="1681" data-start="1628">Computer Science, Engineering, or a related field</strong>.</p> </li> <li data-end="1788" data-start="1685"> <p data-end="1788" data-start="1687"><strong data-end="1715" data-start="1687">8-12 years of experience</strong> in data engineering, ideally within consulting or client-facing roles.</p> </li> <li data-end="1849" data-start="1789"> <p data-end="1849" data-start="1791">Strong programming skills in <strong data-end="1846" data-start="1820">Python, Java, or Scala</strong>.</p> </li> <li data-end="1934" data-start="1850"> <p data-end="1934" data-start="1852">Proven expertise with <strong data-end="1899" data-start="1874">big data technologies</strong> such as Hadoop, Spark, or Flink.</p> </li> <li data-end="1999" data-start="1935"> <p data-end="1999" data-start="1937">Hands-on experience with <strong data-end="1996" data-start="1962">cloud platforms (AWS or Azure)</strong>.</p> </li> <li data-end="2119" data-start="2000"> <p data-end="2119" data-start="2002">Advanced proficiency in <strong data-end="2033" data-start="2026">SQL</strong> and experience with relational and NoSQL databases (BigQuery experience preferred).</p> </li> <li data-end="2198" data-start="2120"> <p data-end="2198" data-start="2122">Strong problem-solving and analytical abilities, with attention to detail.</p> </li> <li data-end="2310" data-start="2199"> <p data-end="2310" data-start="2201">Excellent communication skills, able to translate complex technical concepts to non-technical stakeholders.</p> </li> <li data-end="2418" data-start="2311"> <p data-end="2418" data-start="2313">Ability to thrive in a <strong data-end="2373" data-start="2336">fast-paced consulting environment</strong> and work independently or collaboratively.</p> </li> <li data-end="2478" data-start="2419"> <p data-end="2478" data-start="2421">Willingness to travel for client engagements as needed.</p> </li>
</ul> <hr data-end="2483" data-start="2480" />
<h3 data-end="2509" data-start="2485"><strong data-end="2507" data-start="2489">Core Skill Set</strong></h3> <ul data-end="2666" data-start="2510"> <li data-end="2546" data-start="2510"> <p>Data Modeling & Architecture</p> </li> <li data-end="2546" data-start="2510"> <p>Data Engineering & ETL Development</p> </li> <li data-end="2546" data-start="2510"> <p>Data Analytics & Visualization</p> </li> <li data-end="2546" data-start="2510"> <p>Cloud and Big Data Ecosystems</p> </li>
</ul>

Required Skill Profession

Computer Occupations


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Unlock Your Sr Data Potential: Insight & Career Growth Guide


Real-time Sr Data 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 Sr Data in Pleasanton, United States, highlighting market share and opportunities for professionals in Sr Data roles.

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Are You Looking for Sr. Data Engineer W2 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 Tricon Solutions 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 Sr. Data Engineer W2 Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Pleasanton. 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 Sr. Data Engineer W2?

Key qualifications for Sr. Data Engineer W2 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.

How Can I Improve My Chances of Getting Hired for Sr. Data Engineer W2?

To improve your chances of getting hired for Sr. Data Engineer W2, consider enhancing your skills. Check your CV/Résumé Score with our free Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.

Interview Tips for Sr. Data Engineer W2 Job Success

Tricon Solutions interview tips for Sr. Data Engineer   W2

Here are some tips to help you prepare for and ace your Sr. Data Engineer W2 job interview:

Before the Interview:

Research: Learn about the Tricon Solutions'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.

Additional Tips:

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

Be Honest: Don't exaggerate your skills or experience.

Be Positive: Focus on your strengths and accomplishments.

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 Sr. Data Engineer W2 interview at Tricon Solutions, 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 Tricon Solutions'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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