Remote Staff Data Engineer

Description:

• As a Staff Data Engineer, you will champion data quality and best practices within Sojern's Business Systems Engineering Team.
• You will oversee end-to-end testing of our pipelines and ensure that necessary alerts are in place.
• Your responsibilities will include developing comprehensive test plans and documenting test cases for upcoming initiatives.
• You will collaborate with various teams and leverage your cross-channel expertise to contribute to process improvements and streamlined workflows.
• You will conduct in-depth data analysis to uncover valuable insights and trends, supporting strategic decision-making.
• You will develop and maintain complex data models to effectively represent and analyze diverse datasets.
• You will ensure data integrity and accuracy through rigorous quality checks and validation processes.
• You will identify and resolve data-related challenges, collaborating with cross-functional teams to implement effective solutions.
• You will develop and implement data automation processes to streamline workflows and improve efficiency.
• You will stay up-to-date with the latest data technologies and trends, exploring opportunities to leverage them for competitive advantage.
• You will serve as the technical lead for a small team of engineers.

Requirements:

• You must have strong proficiency in SQL, Python, and other relevant data analysis/engineering tools.
• A self-directed work ethic is essential; you will be expected to drive your own ideas without micromanagement.
• You should maintain a positive attitude each day and support your team through training and ad hoc help.
• Excellent oral and written communication skills are required.
• You must be able to work in a fast-paced environment, balance multiple priorities, and collaborate with remote offices.
• Excellent problem-solving, analytical, and communication skills are necessary.
• You should be able to work independently and as part of a team.
• Experience working with data science teams is required.
• You must have 5+ years of experience in data engineering or a similar role.
• Experience with Google Cloud Platform, specifically BigQuery, is a nice to have.
• Experience with data visualization tools (e.g., Tableau, Power BI) is a nice to have.
• Experience with Celigo or other iPaaS vendor is a nice to have.

Benefits:

• You will receive competitive compensation packages, stock options offered to every employee, and a Bonusly program to reward and recognize team wins and performance.
• Employees can take up to 40 hours of paid time per year to volunteer and give back to the community.
• The company offers a Flexi-Friday benefit, hybrid or remote work options for most roles, and time-zone friendly work hours with async collaboration.
• Team offsites are planned annually, and there are six employee resource groups, regular virtual and in-office team building events, and monthly company All Hands & leadership Q&As.
• You will have a PTO allowance to recharge, comprehensive healthcare options, and paid parental leave (16 weeks for birthing parents; 12 weeks for non-birthing parents).
• Retirement contributions and investment options are available for applicable locations, along with travel benefits (hotel stay benefit & IATA membership) and mental health, wellness & financial health resources.
• A learning & development stipend, mentorship program, career development programs, and leadership training are provided for growth.
• You will receive a home office tech setup (laptop, monitor, keyboard, mouse), a monthly internet and phone allowance, and access to modern tools for communication and collaboration (Slack, Google Suite).