Manager, Data Engineering
Remote, US
Job title: Manager, Data Engineering
Reports to: Director, Data Engineering
Department: Data
Location: Remote
Grade: 21
Our Company: Priority Technology Holdings, Inc. is a leading financial technology company that specializes in providing integrated payments and banking solutions. Our innovative native platform empowers businesses to effortlessly collect, store, and send money in a scalable manner. We are committed to revolutionizing the way companies handle their financial transactions by offering cutting-edge technology and exceptional customer service.
Job Summary: We are seeking a highly skilled and experienced Engineering Manager to lead and inspire our Data Engineering team. You will oversee the design, development, and maintenance of data infrastructure, ensuring the delivery of scalable, reliable, and high-performance data solutions. This role requires strong technical expertise, excellent leadership skills, and the ability to collaborate cross-functionally to meet business goals. This position is full-time and offers a hybrid work arrangement, combining both remote and on-site work if located in the Alpharetta area.
RESPONSIBILITIES:
Leadership & Team Management:
Lead, mentor, and manage a team of Data Engineers, fostering a collaborative and innovative environment.
Develop career growth plans and provide regular feedback and performance evaluations.
Hire, onboard, and retain top talent to strengthen the team.
Technical Strategy & Execution:
Oversee the design and implementation of data pipelines, ETL processes, and data infrastructure to meet business needs.
Drive the adoption of best practices in data engineering, including scalability, reliability, and data governance.
Provide guidance on data architecture and lead the selection of technologies, tools, and frameworks.
Collaboration & Cross-functional Leadership:
Partner with data analytics and data science, product, and business teams to understand data needs and align technical efforts with business objectives.
Communicate complex technical concepts and trade-offs to non-technical stakeholders.
Foster a culture of data-driven decision-making across the organization.
Innovation & Continuous Improvement:
Stay up-to-date with the latest trends and innovations in data engineering, big data, and cloud technologies.
Champion initiatives to continuously improve data quality, performance, and reliability.
Promote a culture of continuous learning and professional development within the team.
MINIMUM REQUIREMENTS:
7+ years of experience in data engineering, with 3+ years in a leadership or managerial role.
Strong technical expertise in data engineering, including proficiency with:
Data pipeline design (ETL, ELT)
Data warehousing solutions (e.g., Snowflake)
Big data technologies (e.g., Hadoop, Spark)
Cloud platforms (AWS)
SQL, Python, and other scripting languages
CI/CD, version control, and data quality management practices
Demonstrated experience leading and scaling data engineering teams in fast-paced, dynamic environments.
Excellent communication, collaboration, and problem-solving skills.
Passion for mentoring and developing engineering talent.
PREFERRED REQUIREMENTS:
Experience with real-time data processing and streaming technologies (e.g., Kafka, Flink).
Familiarity with machine learning pipelines and data science workflows.
Proven ability to manage stakeholders, prioritize tasks, and deliver complex projects on time.
Compensation and Benefits:
Compensation range: $116k - $193k
End of Year Discretionary Bonus
Unlimited PTO after year 1 (3 weeks to start)
Medical, Dental & Vision
401k Match
Education Expense Reimbursement
Gym Membership Reimbursement
HSA and FSA for U.S.-based employee
Employee assistance program (EAP)
Traditional Physical Requirements
Requires prolonged sitting, standing, bending, stooping and stretching.
Requires the ability to lift 10 pounds.
Requires eye-hand coordination, manual dexterity and a normal range of hearing and vision (with or without correction).
Join our team at Priority Technology Holdings, Inc. and be part of a dynamic and innovative company that is transforming the financial technology landscape. Together, we can shape the future of payments and banking solutions while providing unmatched value to our clients.
ApplyJob Profile
Hybrid work arrangement On-site work if located in Alpharetta area
Benefits/Perks401(k) match Discretionary bonus EAP Education Expense Reimbursement Education reimbursement Employee Assistance Program End of Year Discretionary Bonus Gym Membership Reimbursement HSA and FSA Hybrid work Hybrid work arrangement Medical, Dental, Vision Unlimited PTO Unlimited PTO after year 1
Tasks- Collaborate with cross functional teams
- Collaboration
- Drive data quality and performance improvements
- Lead and mentor data engineering team
- Oversee data infrastructure design and implementation
Analytics Architecture AWS Banking Big Data CI/CD Collaboration Communication Data engineering Data Pipeline Design Data Quality Management Data Warehousing Design ELT ETL Flink Hadoop Kafka Machine learning pipelines Payments Problem-solving Python Real-time data processing Scripting Snowflake Spark SQL Streaming technologies Version Control
Experience7 years
TimezonesAmerica/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9