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À propos
Imagine a company that recognizes excellence in not only the products it sells, but also in its employees. R.S. Hughes Company, Inc. is that company. We hold ourselves to the highest standards of quality and professionalism - and we treat our employees like the valuable assets they are. Founded in 1954, R.S. Hughes Co., Inc. is a dynamic, North American distributor of industrial supplies. With 49 warehouse sites in the United States and Mexico, we maintain an extensive inventory of adhesives, abrasives, electrical, static control, tapes, labeling and safety products. We are proud to represent products from leading manufacturing companies including 3M, Henkel Loctite, Momentive, Brady, Kimberly Clark, Ansell Edmont, and many others. We specialize in sales and service solutions to manufacturing companies in both OEM and MRO applications. In addition to competitive salaries and benefits, we offer an environment that asks you to make a difference. We value hard work and common sense, and we consistently reward those that exemplify these traits. If you're looking for a great team to grow with and if you are willing to embrace the challenges of being expected to be the best, we welcome you to come join the R.S. Hughes Company, Inc. team! Job Summary R.S. Hughes is seeking a
Senior Data Engineer
to support and evolve our enterprise analytics platform. This role is responsible for designing, building, and maintaining scalable data pipelines and analytics-ready data models that power reporting and decision-making across the organization. The ideal candidate brings strong experience in
Azure-based data engineering , dimensional modeling, and enterprise analytics enablement, with a mindset oriented toward data quality, performance, and long-term maintainability. Core Responsibilities Data Ingestion & Integration Design, develop, and maintain robust ELT/ETL pipelines using
Azure Synapse Analytics, Azure Logic Apps, and related Azure services
Ingest data from diverse source systems including databases, flat files, and
REST and Microsoft Graph APIs
Develop and maintain custom API integrations using
Python and/or PySpark notebooks
Own end-to-end onboarding of new data sources, from initial extraction through production-ready modeling
Data Transformation & Modeling Implement data transformations using SQL stored procedures aligned to a medallion architecture (Bronze, Silver, Gold)
Apply Kimball dimensional modeling techniques to deliver clean, performant star schemas
Make thoughtful design decisions around:
Star vs. snowflake schemas
Normalized vs. denormalized datasets
Conformed dimensions across multiple source systems
Ensure data models are optimized for consumption by Power BI report developers and analysts
Data Quality & Governance Validate source data and implement data quality checks throughout the pipeline lifecycle
Troubleshoot and resolve data issues related to
freshness, accuracy, and completeness
Maintain clear and accurate documentation for pipelines, models, and business logic to support enterprise understanding and reuse
Analytics Enablement Deliver curated,
semantic-ready datasets
that serve as trusted sources for enterprise reporting Collaborate closely with BI developers, analysts, and business stakeholders to understand and translate analytical requirements Support and maintain existing
Power BI star schemas
used across the organization
Basic Qualifications 3+ years of experience
in Data Engineering or Analytics Engineering roles
Strong hands-on experience with
Azure Synapse Analytics
and
Azure SQL Database
(or closely related technologies)
Proven experience designing and orchestrating ELT/ETL pipelines
Experience integrating SaaS platforms using
REST APIs
Advanced proficiency in
SQL , including complex transformations and stored procedures
Experience using
Python and/or PySpark
for data extraction and transformation
Experience designing and maintaining
incremental data processing patterns
to efficiently ingest and transform data at scale
Deep understanding of
medallion architecture principles
Strong applied knowledge of
dimensional modeling (Kimball)
Demonstrated ability to design performant
star schemas
for analytical workloads
Comfort performing light DBA responsibilities in Azure SQL Database, including:
Monitoring storage usage, compute utilization, and performance
Managing cost awareness and optimization
Supporting schema changes, deployments, and operational stability
Skills: Familiarity with data quality frameworks or validation tooling Experience working in large-scale, enterprise reporting environments Strong documentation and written communication skills Exposure to modern analytics governance or semantic modeling concepts Experience supporting enterprise analytics in
Power BI Experience mentoring, coaching, or training others in data engineering or analytics best practices
Certifications & Licenses Advanced certifications in data management, Microsoft SQL Server, or Progress databases preferred.
Qualifications Education
Bachelors of Computer Science (required) Bachelors of Computer Engineering (required) Experience
3 years: Data Engineering, Analytics Engineering (required)
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.
Compétences linguistiques
- English
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