Data Engineer

Medvet Associates, LLC
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate

Job location

Tech stack

API
Data analysis
Azure
Information Systems
Data Validation
Information Engineering
Data Infrastructure
ETL
Data Mart
Data Transformation
Data Structures
Data Warehousing
Relational Databases
Dimensional Modeling
Document-Oriented Databases
Hive
Python
Microsoft Data Access Components
Performance Tuning
Power BI
SQL Databases
Data Streaming
T-SQL
Cloud Platform System
Data Ingestion
Azure
Sql Optimization
Test Scripts
GIT
Data Layers
Microsoft Fabric
PySpark
Information Technology
Data Analytics
Data Delivery
Azure
GPT
Data Pipelines
Databricks

Job description

This role is responsible for developing and maintaining data warehouse structures, data models, ETL/ELT pipelines, and governed datasets using Microsoft Fabric and related Microsoft data platform tools.

The Data Engineer partners with analytics, IT, and business stakeholders to understand source systems, define data requirements, create reliable data flows, and ensure data is accurate, secure, and ready for reporting and advanced analytics., * Design, develop, and maintain scalable data pipelines, Lakehouse solutions, and data warehouse structures that support enterprise analytics and reporting needs.

  • Architect data workflows that align operational source systems, curated data layers, semantic models, and enterprise data warehouse standards.
  • Build and optimize ETL/ELT processes, data ingestion patterns, transformations, and orchestration workflows using Microsoft Fabric, SQL, pipelines, notebooks, and related tools.
  • Develop and maintain dimensional models, fact and dimension tables, data marts, and analytics-ready datasets for Power BI and other reporting platforms.
  • Implement data quality checks, validation routines, reconciliation processes, and governance standards to ensure trusted and consistent data delivery.
  • Write, tune, and troubleshoot SQL, Spark SQL, and/or PySpark code to support data transformation, warehouse performance, and reporting needs.
  • Monitor and improve performance of pipelines, warehouse queries, semantic models, scheduled refreshes, and data processing workflows.
  • Partner with analysts and business stakeholders to translate reporting and analytics requirements into reliable data structures and reusable datasets.
  • Document data lineage, source-to-target mappings, technical specifications, test scripts, policies, and support procedures.
  • Collaborate with IT, reporting, analytics, and operational teams to support secure, governed, and scalable data solutions.
  • Continually evolve MedVet's data platform, data warehouse, and data engineering practices to support a data-driven organization.

Requirements

Our ideal candidate has a minimum of 3 years of data engineering, data warehouse, data modeling, or data platform experience, a Bachelor's degree in Computer Science, Information Systems, Data Analytics, Engineering, or a related field, or an equivalent combination of education and experience. Hands-on experience with Microsoft Fabric, Microsoft data platform tools, and business intelligence environments is strongly preferred.

  • Experience in the healthcare and/or veterinary industry is a plus but not required. In addition, this position requires:
  • Strong knowledge of data warehouse concepts, dimensional modeling, relational data modeling, ETL/ELT patterns, and analytics data architecture
  • Effective communication with technical and non-technical team members in both verbal and written formats
  • Strong analytical, problem solving and conceptual skills
  • Ability to work independently, but maintain active and timely communication with the requestor in a fast-paced environment
  • Ability to manage multiple projects and adjust priorities as necessary
  • Required Technical Skills
  • Microsoft Fabric, including Data Factory pipelines, Lakehouse, Warehouse, OneLake, notebooks, and semantic model integration
  • Advanced SQL/T-SQL, data modeling, data warehouse design, ETL/ELT development, and performance optimization

Preferred Technical Skills

  • Power BI, Azure Data Factory, Azure Synapse, Databricks, Python/PySpark, Spark SQL, Git/Azure DevOps, APIs, and cloud data platform experience
  • Proficient with leveraging AI and generative AI tools (e.g., Copilot, Claude, ChatGPT) to augment data analysis, automate workflows, and improve productivity.

Benefits & conditions

Pulled from the full job description

  • 401(k)
  • Health insurance
  • Paid time off
  • Vision insurance
  • Dental insurance, MedVet offers a full benefits package, including paid time off, health insurance, dental, vision, and 401K.

Come as you are. MedVet is an equal opportunity employer. We are also a drug-free organization; therefore, employment with MedVet is dependent upon the passing of a drug screen and background check.

About the company

MedVet is the largest network of emergency and specialty hospitals owned and led by veterinarians. This distinction means we place the needs of our team first and have unique insight into the challenges our caregivers face and what's needed to provide the best specialty and emergency medicine every time, every day, to everyone.

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