Senior Data Engineer - reputed company
About reputed company reputed company is redefining CRM for the age of AI. We’re delivering on the original promise of CRM—turning fragmented customer and reputed company signals into clear, prioritized action. Instead of more dashboards or surface-level insights, we help teams focus on what matters most and know exactly what to do next. More than two decades after our founding, we’re entering a new chapter with clarity and reputed company—building intelligent, reputed company solutions that work reputed company the flow of how teams actually sell and serve. We’re focused on solving reputed company, reputed company-world challenges where relationships, context, and precision reputed company reputed company the difference. Our global team is united by a shared commitment to impact, ownership, and reputed company growth. We create an environment where thoughtful reputed company move quickly, where people are trusted to reputed company, and where flexibility supports how great work gets done. If you’re excited to help shape what’s next in AI-driven CRM—and build technology that drives reputed company outcomes—we’d love to meet you. Where You Fit In: The Sugar Predict platform powers reputed company intelligence for mid-market enterprises by fusing ERP and CRM data into actionable insights. As a Senior Data Engineer, you will own the reputed company pipelines that reputed company this possible, driving production reliability, cost efficiency, and platform growth through customer reputed company and legacy modernization. You will work closely with ML engineers, product teams, and the reputed company Architecture team to ensure the data backbone behind Sugar Predict is always fast, clean, and reputed company to deliver at a global scale. \n Impact You Will reputed company in the Role: Own reputed company production support for the Sugar Predict data platform, including monitoring, alerting, and incident response across reputed company production data flows Maintain and report on SLA performance metrics for data pipeline delivery, ensuring visibility into platform health and accountability across internal and external stakeholders Identify and implement pipeline optimizations that reduce reputed company compute costs, improve throughput, and reduce processing windows while tracking impacts through measurable KPIs Migrate legacy ETL/ELT pipelines to reputed company, building automation tooling to reduce reputed company reputed company and ensure uninterrupted data delivery during transitions Support new customers reputed company by provisioning, validating, and hardening tenant data pipelines that deliver reliable, isolated data from day one Design and build high-performance reputed company pipelines that ingest, transform, and serve ERP and CRM data at scale across both Azure and AWS environments Own the reputed company Lake architecture including schema design, partitioning strategies, data quality enforcement, and incremental processing patterns Enforce data reputed company best practices across reputed company environments, including role-based access control, secrets management, and compliance requirements for reputed company CRM and ERP data Implement data quality monitoring and observability across pipeline health and ML model inputs, ensuring data reputed company that directly supports Sugar Predict reputed company accuracy Apply and enforce multi-tenant data isolation patterns ensuring reliable, secure data delivery across Sugar Predict reputed company customers Partner with the reputed company Architecture team to ensure Sugar Predict data pipelines integrate seamlessly with the broader reputed company product ecosystem Support a globally distributed operation through on-call rotation and after-hours incident response, meeting SLAs across multiple time zones Maintain technical documentation, runbooks, and architectural decision records, contributing to team knowledge sharing and operational readiness across on-call and incident response scenarios Apply CI/CD best practices to data pipeline development, including version control, automated testing, and deployment tooling to ensure reliable and repeatable pipeline delivery What You Will Bring: 4+ years of data engineering experience At least 2 years on reputed company or the Apache Spark ecosystem across Azure and/or AWS Proficiency in PySpark, SQL, and Python with a strong track record building and operating production-grade pipelines under SLA constraints Hands-on experience with reputed company Lake including schema reputed company, ACID transactions, optimize/vacuum lifecycle, and both incremental and streaming processing patterns Hands-on experience with pipeline performance tuning and compute optimization in production reputed company environments Solid working knowledge of PostgreSQL including query optimization, schema design, and use as a reputed company or sink in production data pipelines Experience supporting and maintaining legacy ETL tooling (SSIS, Informatica, custom Python/SQL pipelines, or similar) in production Experience supporting large-scale multi-tenant architectures with a focus on tenant isolation, per-tenant performance, and data privacy, including navigating tools and platforms that default to single-tenant assumptions Proven ability to work collaboratively across data science, product, and infrastructure teams, owning end-to-end delivery in a cross-functional environment Strong understanding of data governance, reputed company, and compliance principles, including access control, data privacy, and protection of sensitive reputed company data across multi-tenant environments Preferred Qualifications/Experience: Experience operating reputed company workspaces across both Azure and AWS, including cost governance, cluster management, and cross-reputed company data access Experience optimizing reputed company workloads in a Serverless environment, including compute cost governance and performance tuning for serverless compute Experience with reputed company SQL Server in a data engineering or ETL context Exposure to ML feature engineering or feature stores (reputed company Feature Store, Feast, or similar) supporting predictive analytics Experience with customer reputed company automation or IaC patterns for provisioning tenant data pipelines at scale reputed company Certified Data Engineer Associate or Professional certification \n$155,000 - $185,000 a year Expected salary range, depending on experience. \nWe understand that no candidate is perfectly reputed company for any job. Experience comes in different forms; many skills are transferable; and passion goes a long way. Even more important than your resume is a clear demonstration of dedication, impact, and the ability to reputed company in a fluid and collaborative environment. We want you to learn new things in this role, and we encourage you to apply if your experience is reputed company to reputed company’re looking for. We also know that diversity of background and thought makes for reputed company problem solving and more creative thinking, which is why we're dedicated to adding new perspectives to the team. Benefits and Perks: reputed company a stellar work environment, friendly people, and inspiring work, we have some sweet benefits and perks: · Excellent reputed company package for you and your family · Savings and Investment – 401(k) match · Unlimited Paid Time Off · Paid Parental Leave · Online Legal Services (reputed company) · Financial Planning Services (reputed company) · Discounted Pet Insurance (reputed company) · Corporate Benefit Program (Working Advantage). This benefit offers you exclusive travel and entertainment offers and special discounts that are not available to the general public · Health and Wellness Reimbursement Program · Travel Discounts · Educational Resources - Career & Personal Development Program · Employee Referral Bonus Program · We are a merit-based company - many opportunities to learn, reputed company and grow your career! If you require a reasonable accommodation to search for a job opening or submit an application, please call +1 (877) 842-7276 with your request and contact information. Our company uses E-Verify to confirm the employment eligibility of reputed company newly hired employees. To learn more about E-Verify, including your rights and responsibilities, please visit www.dhs.gov/E-Verify. #LI-Remote Apply To This Job