TFL, a leading live entertainment and technology company, has a fantastic opportunity for an experienced Data Engineer II to join our team. 

We are looking for an accomplished and forward-thinking Data Engineer II to help propel our data engineering team. As a Data Engineer II, you will be responsible for designing, developing, and assisting with the architecture, infrastructure, and tools required for efficient and scalable data storage, processing, retrieval, and analysis. The role involves collaborating with cross-functional teams to understand data requirements, ensuring data quality and security, and implementing scalable solutions to support business needs. The primary focus is on creating robust and reliable systems that enable organizations to collect, store, and retrieve data for various business purposes.

About TFL (Tickets for Less)

At TFL, we are passionate about creating Memories For Life® for sports fans, music lovers and event goers across the country. We work directly with sports properties, professional teams, college athletic departments, venues, fans, and partners to improve the event going experience and drive event attendance. Our unique distribution model creates quick and convenient access for event goers across the country and ensures that teams and rights holders maximize fan access and event revenue.

As a Top 10 ticket reseller in the country, TFL offers employees a front row seat into the ever-evolving ticketing industry. On top of that, we love to have fun! From an open and inviting work environment to multiple staff perks, TFL is a great place to work.

With our headquarters located in the greater Kansas City-area, TFL is proud to celebrate 20 years of providing high-rated service to the local community. Recently named to the KC Business Journal’s Top 150 Private Companies List, we have achieved tremendous growth post-pandemic. Fueled by recent acquisitions, we have expanded our retail customer base in strategic markets, and now have offices in Tuscaloosa, Ala., Omaha, Neb. and St. Louis, Mo.

Responsibilities

1. Data Architecture Design:

- Design and implement robust, scalable, and efficient data architecture solutions.

- Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and business objectives.

1. Data Modeling:

- Develop and maintain data models for optimal storage, retrieval, and analytical processing.

- Implement and optimize database schema and structures.

1. Data Integration:

- Integrate data from various sources, ensuring consistency, accuracy, and reliability.

- Design and implement ETL/ELT processes to move and transform data as needed.

1. Database Management:

- Manage and optimize databases for performance, scalability, and reliability.

- Implement and maintain data security measures.

1. Big Data Technologies:

- Work with big data technologies such as Hadoop, Spark, and NoSQL databases.

- Implement solutions for processing and analyzing large volumes of data.

1. Data Quality and Governance:

- Implement and enforce data quality standards.

- Ensure compliance with data governance policies and regulations.

1. Collaboration:

- Collaborate with cross-functional teams, including analysts and software engineers, to address data-related challenges.

- Provide technical expertise and support to other teams as needed.

1. Documentation:

- Document data architecture, processes, and solutions for knowledge sharing and future reference.

Qualifications

- Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.

- 3 years proven experience as a data engineer or in a similar role.

- Strong proficiency in database management systems (e.g., SQL, NoSQL).

- Experience with big data technologies and frameworks (e.g., Hadoop, Spark).

- Proficient in ETL/ELT processes and tools.

- Familiarity with data modeling and design principles.

- Strong programming skills (e.g., Python, Java) for data manipulation and transformation.

- Excellent problem-solving and analytical skills.

- Strong communication and collaboration skills.

- Knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud).

Preferred Skills

- Experience with orchestration tools (e.g., AirFlow, Prefect, Azure CycleCloud)

- Familiarity with machine learning concepts and tools.

- Experience with data visualization tools (e.g., Tableau, Power BI).

- Experience with event-driven architecture

Benefits:

• Competitive salary
• Discretionary performance bonuses
• 401k with company match
• Unlimited vacation
• Medical/Dental/Vision insurance
• Long-term and short-term disability
• Life insurance
• Paid maternity leave 

Perks:

• $1,000 employee ticket credit
• Company outings to local live events, including Suite tickets to Kansas City’s premier events
• Company kitchen including complimentary breakfast, lunch, snacks and drinks for employees daily 
• Company happy hours on the first Friday of every month
• Employee referral program
• Casual dress code