Senior Data Engineer
Chicago, Illinois
Hybrid
Full Time
$145k - $160k
We are currently working with a company focused on electronic solutions for ticketing in the live sports, theater, and concert marketplaces. Their goal is to capitalize on market inefficiencies and to create better solutions for third party sellers. This tech focused and innovative mindset has seen them double their client base and are continuing to grow their B2B solutions to expand the options for third party ticket brokers.
They are looking for a Data Engineer to join their team that would be one of their first in house Data Engineering hires. For this role you would be helping them modernize their data architecture and build out reporting tools so data is more accessible and actionable for clients in the broker space. The main tools will be Python, SQL, and a strong understanding of ETL processes.
This role will be hybrid onsite in their Wicker Park office in Chicago, IL, and will be a Full Time, Direct Hire role with the client. (3x/week onsite)
They are looking for a Data Engineer to join their team that would be one of their first in house Data Engineering hires. For this role you would be helping them modernize their data architecture and build out reporting tools so data is more accessible and actionable for clients in the broker space. The main tools will be Python, SQL, and a strong understanding of ETL processes.
This role will be hybrid onsite in their Wicker Park office in Chicago, IL, and will be a Full Time, Direct Hire role with the client. (3x/week onsite)
Required Skills & Experience:
- 5+ years of experience in data engineering or a related field
- Proficiency in Python with strong experience in building scalable applications and data workflows.
- Hands-on experience enhancing and maintaining data architecture
- Solid understanding of SQL and database optimization techniques.
- Build and maintain custom web based reporting tools to make data more accessible and actionable across the organization
- Experience with cloud platforms such as AWS, Azure, or GCP, including data services.
- Strong problem-solving skills and a passion for building efficient, maintainable solutions.
Preferred Skills & Experience:
- Bachelor’s degree in Computer Science or a related field, or equivalent professional experience.
- Exposure to big data ecosystems and tools such as Hadoop, Spark, or Hive.
- Background in data visualization and reporting tools is a plus.
What We Offer:
- Competitive salary and benefits package.
- Opportunities for career growth and ongoing learning.
- A chance to work on cutting-edge projects at an emerging technology company.
- Health, Dental, and Vision insurance.