Wagepoint is a payroll software designed for small businesses that simplifies the process of paying employees and contractors. With automation features for tax compliance, direct deposit, and online access to pay details, Wagepoint aims to reduce the stress of payroll management. It provides a comprehensive suite of tools including time management and employee resources, all aimed at enabling businesses to focus more on their core activities instead of payroll complexities.
Payroll
6 days ago
Airflow
Apache
AWS
Azure
Cloud
Distributed Systems
Docker
ETL
Google Cloud Platform
Kubernetes
Python
Spark
SQL
Tableau
Wagepoint is a payroll software designed for small businesses that simplifies the process of paying employees and contractors. With automation features for tax compliance, direct deposit, and online access to pay details, Wagepoint aims to reduce the stress of payroll management. It provides a comprehensive suite of tools including time management and employee resources, all aimed at enabling businesses to focus more on their core activities instead of payroll complexities.
Payroll
Who We are: At Wagepoint, we’re good people. Sure, maybe we’re biased. But that’s only because Wagepointers bring the best versions of ourselves to do some of the best work in our careers. We’re an authentic team who bring our diverse backgrounds, ideas, experiences and cultures together to make payroll magic. We’re growing and looking for more awesome people to join our merry band of misfits. If you are the kind of person who has always wanted to make a difference and be heard at work, Wagepoint will give you plenty of opportunity to do just that. The Role at High Level: We’re looking for a talented Senior Data Engineer who doesn’t shy away from building robust, scalable, and secure data systems.
Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field. 5+ years of experience in data engineering, with expertise in ETL/ELT workflows and big data technologies. Advanced skills in Python and SQL. Experience with Azure (Data Lake, Synapse, CosmosDB) or other cloud platforms (AWS, GCP). Proven experience with tools like Apache Spark, DataBricks, Snowflake, or Airflow. Solid knowledge of data warehousing, data modeling, and distributed systems. Familiarity with CI/CD pipelines, containerization (Docker/Kubernetes), and security compliance frameworks. Excellent problem-solving skills and attention to detail in optimizing data systems. Strong communication skills and ability to work across multiple teams. Bonus points if: You have DevOps experience using Azure DevOps. You’ve supported machine learning or AI workflows. You’ve built or contributed to enterprise data dictionaries. You have experience building real-time data monitoring and validation frameworks. You’ve worked in fast-paced SaaS environments with a remote team.
Impact: Roll up your sleeves and directly contribute to the growth and success of Wagepoint by shaping our workforce. Culture: The opportunity to work with the world’s friendliest team, solving interesting problems together with an endless amount of laughter. Growth: Opportunities for professional development and career advancement - we are always, always learning with a growth oriented mindset. Innovation: Work in an environment that encourages creativity and new ideas. Remote: The ability to work from home, forever! Wagepoint is a remote company, so you don’t have to worry about commuting to an office. Plus, more time with your pets is always a bonus!
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