Sr. Data Engineer | A Place For Mom | Remote (United States)
Posted 2025-09-08
Remote, USA
Full Time
Immediate Start
<p class=" text-gray-200 text-base sm:text-lg leading-relaxed mb-3"><strong class=" font-semibold">Key Responsibilities and Deliverables:</strong></p>
<ul class=" text-base sm:text-lg marker:text-color list-inside list-disc text-gray-500 list-disc list-outside pl-3 mb-6">
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200"><strong class=" font-semibold">Data Warehouse Operations:</strong>
<ul class=" text-base sm:text-lg marker:text-color list-inside list-disc text-gray-500 list-disc list-outside pl-3 mb-6">
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Oversee the operations of the data warehouse on Databricks within AWS, ensuring optimal performance and reliability.</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Continuously optimize data warehouse performance, including query performance, storage, and data processing efficiency.</span></li>
</ul>
<p></span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200"><strong class=" font-semibold">ETL Development and Maintenance:</strong>
<ul class=" text-base sm:text-lg marker:text-color list-inside list-disc text-gray-500 list-disc list-outside pl-3 mb-6">
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Design, develop, and maintain ETL (Extract, Transform, Load) processes to integrate data from various sources into the data warehouse.</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Manage and optimize data pipelines to ensure timely and accurate data processing and delivery.</span></li>
</ul>
<p></span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200"><strong class=" font-semibold">Data Quality and Monitoring:</strong>
<ul class=" text-base sm:text-lg marker:text-color list-inside list-disc text-gray-500 list-disc list-outside pl-3 mb-6">
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Implement and monitor data quality checks to ensure accuracy, completeness, and consistency of data within the warehouse.</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Set up and manage monitoring systems to detect and address data issues, performance bottlenecks, and system anomalies.</span></li>
</ul>
<p></span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200"><strong class=" font-semibold">Collaboration and Support:</strong>
<ul class=" text-base sm:text-lg marker:text-color list-inside list-disc text-gray-500 list-disc list-outside pl-3 mb-6">
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Collaborate with cross-functional teams, including software engineers, data scientists, and product managers, to design and architect scalable, high-performance data solutions that align with business objectives and best practices</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Provide technical support and expertise on data-related issues and queries from other teams.</span></li>
</ul>
<p></span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200"><strong class=" font-semibold">Best Practices and Documentation:</strong>
<ul class=" text-base sm:text-lg marker:text-color list-inside list-disc text-gray-500 list-disc list-outside pl-3 mb-6">
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Create and maintain comprehensive documentation for data processes, ETL jobs, and data warehouse configurations.</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Implement and promote best practices for data engineering, including coding standards, data governance, and security measures.</span></li>
</ul>
<p></span></li>
</ul>
<h3 class=" text-white font-semibold text-lg mb-2">Requirements</h3>
<ul class=" text-base sm:text-lg marker:text-color list-inside list-disc text-gray-500 list-disc list-outside pl-3 mb-6">
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Experience: Proven experience as a Data Engineer, with significant experience working with data warehouses, ETL processes, and data quality management.</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Technical Skills: Strong proficiency in Databricks, AWS services, SQL, Python, Spark, Fivetran, Segment event tracking, and ETL tools.</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Analytical Skills: Excellent analytical and problem-solving skills with a strong ability to derive insights from complex data sets.</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Communication: Effective communication skills with the ability to convey technical information to non-technical stakeholders.</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Education: Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent working experience.</span></li>
</ul>
<p class=" text-gray-200 text-base sm:text-lg leading-relaxed mb-3"><strong class=" font-semibold">Compensation:</strong></p>
<ul class=" text-base sm:text-lg marker:text-color list-inside list-disc text-gray-500 list-disc list-outside pl-3 mb-6">
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Base Salary: $150,000 to $180,000</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Bonus – 20% of annual earnings</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Benefits:<!-- -->
<ul class=" text-base sm:text-lg marker:text-color list-inside list-disc text-gray-500 list-disc list-outside pl-3 mb-6">
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">401(k) plus match</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Dental insurance</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Health insurance</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Vision Insurance</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Paid Time Off</span></li>
</ul>
<p></span></li>
</ul>
<p class=" text-gray-200 text-base sm:text-lg leading-relaxed mb-3"><strong class=" font-semibold">#LI-AR1</strong></p>
<p class=" text-gray-200 text-base sm:text-lg leading-relaxed mb-3"><strong class=" font-semibold">#LI-REMOTE</strong></p>
<h3 class=" text-white font-semibold text-lg mb-2">Additional information</h3>
<p class=" text-gray-200 text-base sm:text-lg leading-relaxed mb-3">A Place for Mom <strong class=" font-semibold">uses E-Verify</strong> to confirm the employment eligibility of all newly hired employees. To learn more about E-Verify, including your rights and responsibilities, please visit <a href="http://www.dhs.gov/E-Verify" target="_blank" class="break-all font-medium underline hover:opacity-75" rel="noopener noreferrer nofollow"><strong class=" font-semibold">www.dhs.gov/E-Verify</strong></a><strong class=" font-semibold">.</strong></p>
<ul class=" text-base sm:text-lg marker:text-color list-inside list-disc text-gray-500 list-disc list-outside pl-3 mb-6">
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200"><strong class=" font-semibold">Data Warehouse Operations:</strong>
<ul class=" text-base sm:text-lg marker:text-color list-inside list-disc text-gray-500 list-disc list-outside pl-3 mb-6">
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Oversee the operations of the data warehouse on Databricks within AWS, ensuring optimal performance and reliability.</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Continuously optimize data warehouse performance, including query performance, storage, and data processing efficiency.</span></li>
</ul>
<p></span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200"><strong class=" font-semibold">ETL Development and Maintenance:</strong>
<ul class=" text-base sm:text-lg marker:text-color list-inside list-disc text-gray-500 list-disc list-outside pl-3 mb-6">
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Design, develop, and maintain ETL (Extract, Transform, Load) processes to integrate data from various sources into the data warehouse.</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Manage and optimize data pipelines to ensure timely and accurate data processing and delivery.</span></li>
</ul>
<p></span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200"><strong class=" font-semibold">Data Quality and Monitoring:</strong>
<ul class=" text-base sm:text-lg marker:text-color list-inside list-disc text-gray-500 list-disc list-outside pl-3 mb-6">
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Implement and monitor data quality checks to ensure accuracy, completeness, and consistency of data within the warehouse.</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Set up and manage monitoring systems to detect and address data issues, performance bottlenecks, and system anomalies.</span></li>
</ul>
<p></span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200"><strong class=" font-semibold">Collaboration and Support:</strong>
<ul class=" text-base sm:text-lg marker:text-color list-inside list-disc text-gray-500 list-disc list-outside pl-3 mb-6">
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Collaborate with cross-functional teams, including software engineers, data scientists, and product managers, to design and architect scalable, high-performance data solutions that align with business objectives and best practices</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Provide technical support and expertise on data-related issues and queries from other teams.</span></li>
</ul>
<p></span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200"><strong class=" font-semibold">Best Practices and Documentation:</strong>
<ul class=" text-base sm:text-lg marker:text-color list-inside list-disc text-gray-500 list-disc list-outside pl-3 mb-6">
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Create and maintain comprehensive documentation for data processes, ETL jobs, and data warehouse configurations.</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Implement and promote best practices for data engineering, including coding standards, data governance, and security measures.</span></li>
</ul>
<p></span></li>
</ul>
<h3 class=" text-white font-semibold text-lg mb-2">Requirements</h3>
<ul class=" text-base sm:text-lg marker:text-color list-inside list-disc text-gray-500 list-disc list-outside pl-3 mb-6">
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Experience: Proven experience as a Data Engineer, with significant experience working with data warehouses, ETL processes, and data quality management.</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Technical Skills: Strong proficiency in Databricks, AWS services, SQL, Python, Spark, Fivetran, Segment event tracking, and ETL tools.</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Analytical Skills: Excellent analytical and problem-solving skills with a strong ability to derive insights from complex data sets.</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Communication: Effective communication skills with the ability to convey technical information to non-technical stakeholders.</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Education: Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent working experience.</span></li>
</ul>
<p class=" text-gray-200 text-base sm:text-lg leading-relaxed mb-3"><strong class=" font-semibold">Compensation:</strong></p>
<ul class=" text-base sm:text-lg marker:text-color list-inside list-disc text-gray-500 list-disc list-outside pl-3 mb-6">
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Base Salary: $150,000 to $180,000</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Bonus – 20% of annual earnings</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Benefits:<!-- -->
<ul class=" text-base sm:text-lg marker:text-color list-inside list-disc text-gray-500 list-disc list-outside pl-3 mb-6">
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">401(k) plus match</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Dental insurance</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Health insurance</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Vision Insurance</span></li>
<li class=" leading-snug mb-2 pl-2"><span class="text-gray-200">Paid Time Off</span></li>
</ul>
<p></span></li>
</ul>
<p class=" text-gray-200 text-base sm:text-lg leading-relaxed mb-3"><strong class=" font-semibold">#LI-AR1</strong></p>
<p class=" text-gray-200 text-base sm:text-lg leading-relaxed mb-3"><strong class=" font-semibold">#LI-REMOTE</strong></p>
<h3 class=" text-white font-semibold text-lg mb-2">Additional information</h3>
<p class=" text-gray-200 text-base sm:text-lg leading-relaxed mb-3">A Place for Mom <strong class=" font-semibold">uses E-Verify</strong> to confirm the employment eligibility of all newly hired employees. To learn more about E-Verify, including your rights and responsibilities, please visit <a href="http://www.dhs.gov/E-Verify" target="_blank" class="break-all font-medium underline hover:opacity-75" rel="noopener noreferrer nofollow"><strong class=" font-semibold">www.dhs.gov/E-Verify</strong></a><strong class=" font-semibold">.</strong></p>