Data Engineer

REPS & Co.

Since its inception in 2017, REPS & Co. has established itself as a prominent entity in data analytics within the entertainment sector. The company is celebrated for its innovative analytics solutions that offer deep insights and forecasts, aiding in understanding ticketing supply and demand dynamics. REPS & Co. is on the lookout for a dynamic Data Engineer who thrives in a fast-paced setting and has a strong drive for learning, aiming to advance the company's data-driven initiatives.

In this role you can expect to have the responsibilities:

• Design and build ETL/ELT data pipelines to ensure efficient data flow.
• Transition data infrastructure to a cohesive model including warehouses and lakes.
• Collaborate with cross-functional teams to develop scalable data solutions.
• Maintain high standards for data accuracy, security, and performance.
• Research emerging technologies to improve the data ecosystem.
• Contribute to agile development processes for team efficiency.

This role comes with the following benefits:

• Comprehensive medical, dental, and vision insurance.
• Paid sick leave and holidays, plus volunteer time off.
• 401k with match and employee stock ownership plan.
• Parental leave and employer-paid life and disability insurance.
• Employee Assistance Program and gym membership reimbursement.
• Exclusive ticket benefits and annual bonus.

This role requires you to have:

• Advanced SQL knowledge and experience with relational databases.
• Expertise in building and optimizing big data pipelines and architectures.
• Ability to perform root cause analysis on data and processes.
• Strong skills in managing unstructured datasets and data transformations.
• Experience in supporting data management processes and workload management.

You would benefit from having:

• Proficiency with SQL and NoSQL databases such as Postgres, MongoDB.
• Familiarity with data pipeline and workflow tools like Airflow.
• Experience with cloud services such as Snowflake and AWS.
• Knowledge of stream-processing systems like Spark-Streaming.
• Programming skills in Python, Java, JavaScript.

The company values innovation and offers a remote work environment conducive to continuous learning and development.