Purpose As a Sr.
Data Engineer on this team, you will own the design and delivery of complex data pipelines, integrations, and data models that serve as the foundation of our analytics and reporting capabilities.
Working closely with the Sr.
Data Engineering Manager and the Enterprise Data Architect, you will translate top-down architectural decisions into production-grade implementations — and serve as a technical authority and mentor for the broader data engineering team.
You bring strong judgment about when to apply analytical vs. operational data patterns, and you build to a standard rather than just to a deadline.Key ResponsibilitiesDesign, build, and maintain scalable batch and real-time data ingestion pipelines from complex source systems including ERP data, SaaS applications, and internal databasesImplement and maintain data solutions in Snowflake and other appropriate platforms that align to enterprise data models defined by the architecture team, supporting BI and analytics analyst consumption with a consistent, reliable single version of truthApply sound judgment in selecting appropriate data storage and processing patterns — OLAP vs. OLTP — based on latency, consistency, cost, and use case requirementsEnsure all data engineering solutions align to target state architecture; actively participate in architecture discussions and surface implementation considerations to the Enterprise Data ArchitectContribute to integration design and implementation using Boomi, Talend, custom-built integrations, or other appropriate tooling; help rationalize and standardize integration patterns across the teamPartner with the Enterprise Data Architect to implement and enforce data lineage, transformation transparency, and architectural standardsDrive data quality practices including pipeline monitoring, anomaly detection, and root cause resolutionAuthor and maintain comprehensive documentation of business rules, transformation logic,



and data mappings embedded in production pipelinesProvide technical mentorship to Data Engineers; contribute to coding and documentation standards and participate in code reviewsTranslate complex business requirements into detailed technical designs independently, and validate those designs against architectural principlesIdentify and champion process improvements including pipeline automation, standardization, and optimization of data deliveryCollaborate with BI and analytics analysts, IT teams, and business stakeholders to ensure data is modeled, documented, and accessible for their use casesProvide accurate effort estimates; participate in intake and work tracking to ensure delivery predictabilityKey Competencies and Skills RequiredAdvanced proficiency in SQL across both OLAP platforms (Snowflake) and relational/OLTP databases (MSSQL, Postgres, or equivalent)Clear understanding of OLAP vs. OLTP architectural patterns — including tradeoffs in latency, cost, consistency, and appropriate use cases — with demonstrated experience applying this judgment in production environmentsAbility to write pipeline, transformation, and automation code using Java, Python, or a comparable scripting languageDemonstrated experience designing and implementing ELT/ETL pipelines using Boomi, Talend, or equivalent enterprise integration toolsStrong understanding of data integration patterns across heterogeneous source systemsExperience with data quality frameworks and the ability to apply monitoring and automation to detect and surface issuesAbility to independently translate business requirements into detailed technical designsStrong documentation skills with the ability to produce artifacts consumable by both technical and non-technical stakeholdersExperience mentoring or technically leading junior engineersUnderstanding of data governance principles, data lifecycle management,



and data privacy and security constraintsPreferred QualificationsFamiliarity with XML/XPath and structured data formats including JSON for pipeline and integration developmentExperience with enterprise data modeling for analytics (dimensional, Data Vault, or similar)Working knowledge of Shell/Bash scripting for server configuration tasks such as tunnel setup and environment managementExperience with S3 or similar cloud object storage as a staging or landing layerExposure to data catalog or data lineage tooling (Alation, Collibra, or equivalent)Experience with workflow orchestration tools (Airflow, dbt, or equivalent)Experience participating in or supporting a formal data governance programExposure to CDC (Change Data Capture) patterns for near-real-time data integrationOur commitment to excellence in customer service is only part of our story.We are also dedicated to supporting our most valuable asset, our associates!
One of the ways we do this is by offering a variety of high-quality benefits for our associates and their families.
All full-time associates receive the benefits of law and are eligible for the following benefits:Mayor Medical InsuranceFamily Life insuranceFood Coupons10 days of vacation30-day year end bonusWe're an equal opportunity employer and we welcome diversity and inclusion!
Reece USA is an Equal Opportunity Employer— Employer Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, and any other status protected by law.Reece es un distribuidor líder en USA.
de productos de plomería comercial y residencial, obras hidráulicas y HVAC, y productos para el baño y la cocina en todo el país.
Desde nuestros inicios en noviembre de ****, hemos crecido rápidamente a través de una serie de adquisiciones y aperturas de tiendas.
La familia de marcas de Reece está formada por Morrison Supply, DeVore & Johnson, Murray Supply, Wholesale Specialties, Express Pipe & Supply, Farnsworth Wholesale, Expressions Home Gallery, Todd Pipe, Fortiline Waterworks, L&B; Pipe y Schumacher & Seiler.
En ****, MORSCO fue adquirida por The Reece Group, el principal proveedor de productos de plomería, HVAC y obras hidráulicas de Australia.
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📌 Sr. Data Engineer (Xico)
🏢 Morsco
📍 Xico