<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>
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<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>
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<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>
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