The data strategy and analytics group (DSA) at LEARFIELD has partnered with the business in creating data solutions that will help drive the business forward into a digital transformation age.
As a Data Engineer, you will help drive the development and adaptation of new technologies to help the business reach its goals. The data engineering team is looking for a candidate with in-depth hands-on experience of designing, architecting, and developing data solutions in a SQL environment. This will include data ingestion, cleansing, modeling, and automation.
The ideal candidate will have hands-on experience in Azure data technologies including Azure SQL database, Data Factory, Data Lake/Storage Accounts, Azure DevOps, along with Big Data technologies such as Spark and Streaming Analytics.
As a Data Engineer, you will report to the Director of Data Engineering. Additionally, you will work closely with all other members of the development team including data analysts, visualization developers, project management, QA analysts, stakeholders and product owners.

Responsibilities

Architect new features/solutions into the current data warehouse solutionTroubleshoot and evaluate bottlenecks in current ingestion techniquesDesign, develop, test data services in current Azure environmentDevelop and automate processes using Power Platform toolsCreation and maintenance of clear and impactful technical documentationMentoring and upskilling other team membersSupport and maintenance of the production environment and data pipelinesData architecture, design, development and implementation, using Azure technologies for large-scale data solutionsTechnical authoring & solution design for data warehousing Ability to adapt to rapidly evolving environments

Qualifications

Proven and comprehensive track record building and deploying scalable solutions in an Azure cloud environmentFamiliar with Azure DevOps CI/CD conceptsFamiliar with Spark and subsequent languages (PySpark, SparkSQL, etc)Extensive working knowledge in T-SQLWorking knowledge of data warehousing/data modeling conceptsExperience working with structured, semi structured and unstructured dataExperience in Azure cloud technologies including:Azure Data Lake Gen2/Storage Accounts (ADL)Azure Data Factory (ADF)Azure SQL DatabaseAzure DevOpsPower PlatformExperience in database administration/performance optimization technologies and techniques, but not required5+ years working in data engineering environment3+ years working experience on Azure technologiesKnowledge of Agile/Scrum project management lifecycleKnowledge of security best practices and industry standards and how to apply them within an Azure environment. (SOC2 working knowledge a plus)Tableau Server and Desktop knowledge is a plusExperience with front end / middle technologies including: (but not required)C#Entity FrameworkAngularAPI’s (REST)

Learfield offers a full spectrum of benefits for eligible employees including Medical, Dental, Vision, Health Savings Account, Life Insurance and Other Insurance Plans, Flexible Paid Time Off (including Parental Leave), Paid Holidays, 401(k), and Short/Long Term Disability.

Learfield is an Equal Opportunity Employer. We provide equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.