Job summary
Job post source
This job is directly from LEARFIELD
Job overview
The Data Engineer at LEARFIELD will develop and implement data solutions using Azure and Big Data technologies to support the company's digital transformation and business goals.
Responsibilities and impact
The role involves architecting data warehouse features, troubleshooting ingestion processes, developing data services in Azure, automating processes with Power Platform, maintaining documentation, mentoring team members, and supporting production data pipelines.
Compensation and benefits
LEARFIELD offers comprehensive benefits including Medical, Dental, Vision, Health Savings Account, Life Insurance, Flexible Paid Time Off, Paid Holidays, 401(k), and Short/Long Term Disability.
Experience and skills
Candidates need 5+ years in data engineering, 3+ years with Azure technologies, strong skills in T-SQL, Azure Data Lake, Data Factory, SQL Database, DevOps, Spark, and knowledge of Agile and security best practices; experience with Tableau and front-end technologies is a plus.
Career development
The role includes mentoring opportunities and working closely with cross-functional teams, supporting professional growth in data engineering and cloud technologies.
Work environment and culture
LEARFIELD promotes equal employment opportunities and values diversity, providing an inclusive environment with flexible paid time off and comprehensive benefits.
Company information
LEARFIELD is focused on digital transformation through data strategy and analytics, partnering with business units to drive innovation with data solutions.
Team overview
The Data Engineer reports to the Director of Data Engineering and collaborates with data analysts, visualization developers, project management, QA analysts, stakeholders, and product owners.
Unique job features
The job features working with cutting-edge Azure cloud and Big Data technologies, automation with Power Platform, and involvement in a digital transformation initiative.
Company overview
LEARFIELD is a leading media and technology company specializing in collegiate sports marketing. They generate revenue through multimedia rights, sponsorship sales, and digital content services for over 1,000 collegiate institutions and sports properties. Founded in 1972, LEARFIELD has grown significantly, acquiring companies like Paciolan and Sidearm Sports to expand their digital and ticketing capabilities. Their comprehensive suite of services includes venue signage, event sponsorships, and fan engagement platforms, making them a pivotal player in the collegiate sports industry.
How to land this job
Position your resume to highlight your hands-on experience designing and architecting data solutions in SQL and Azure environments, emphasizing data ingestion, cleansing, modeling, and automation skills.
Focus on showcasing your expertise with Azure data technologies such as Azure SQL Database, Data Factory, Data Lake/Storage Accounts, Azure DevOps, and Big Data tools like Spark and Streaming Analytics.
Apply through multiple platforms including LEARFIELD's corporate careers page, LinkedIn, and relevant job boards to maximize your exposure for the Data Engineer role.
Connect with professionals in LEARFIELD's Data Strategy and Analytics group on LinkedIn and initiate conversations by commenting on recent projects or asking about their experience with Azure data solutions; ice breakers could include mentioning interest in their digital transformation efforts or inquiring about team collaboration practices.
Optimize your resume for ATS by incorporating keywords from the job description such as 'Azure SQL Database,' 'Data Factory,' 'Spark,' 'data warehousing,' 'T-SQL,' and 'Azure DevOps CI/CD,' ensuring your resume passes automated screenings.
Use Jennie Johnson's Power Apply feature to automate tailored resume submissions, discover multiple application channels, and identify LinkedIn contacts within LEARFIELD, allowing you to focus your time on preparing for interviews and networking.
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