Data Engineer

Overview

Shift4 (NYSE: FOUR) is boldly redefining commerce by simplifying complex payments ecosystems across the world. As the leader in commerce-enabling technology, Shift4 powers billions of transactions annually for hundreds of thousands of businesses in virtually every industry. For more information, visit www.shift4.com.

Data Engineer

Shift4 is expanding globally and building out our data engineering team, seeking an experienced Data Engineer with a minimum of 3 years of experience to spearhead our data architecture, pipeline development, and data lake / data warehousing efforts. This opportunity offers great career growth with a team of senior engineers to assist in mentorship!

This role can be based at any of the following Shift4 locations: Center Valley, PA / Tampa, FL (preferred) / Morrisville, NC / Las Vegas, NV / Atlanta, GA (Preferred)   

Relocation assistance may be available. 

Responsibilities:

• Data Architecture: Design, implement, and manage our data infrastructure, ensuring scalability, efficiency, and security. This includes defining data schemas, data pipelines, and data storage solutions.
• Pipeline Development:
• Develop robust ETL (Extract, Transform, Load) processes to ingest, process, and transform data from various sources.
• Optimize data flow and storage for speed, scalability, and reliability.
• Data Quality and Governance:
• Establish and enforce data quality standards and governance policies.
• Implement data validation processes to ensure data integrity.
• Analytics and Reporting:
• Collaborate with data scientists and analysts to tailor data solutions that meet analytical requirements.
• Support the creation of BI tools, dashboards, and reports by providing clean, structured data.
• Innovation:
• Research and recommend new technologies and tools to improve data management and processing.
• Drive the adoption of best practices in data engineering, like data lake architectures, streaming data, and real-time analytics.

Qualifications:

• Education: Bachelor's or Master's degree in Computer Science, Data Science, Information Technology, or related field or experience in lieu of a degree may be considered. 
• At least 3 years of experience in data engineering or a similar discipline.
• Proficiency in SQL and experience with big data technologies (e.g., Hadoop, Spark).
• Strong coding skills in languages like Python, Java, Scala, Node JS, Golang, etc…
• Experience with cloud services (AWS, Azure, Google Cloud) for data solutions.
• Knowledge of data warehousing solutions (e.g., Snowflake, Redshift, BigQuery).
• Familiarity with data modeling, ETL tools, and data pipeline orchestration tools (e.g., Airflow, Luigi).
• Excellent analytical and problem-solving skills.
• Strong communication skills to effectively articulate complex data concepts to non-technical stakeholders.

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We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression, status as a veteran, and basis of disability or any other federal, state or local protected class.