Staff Data Engineer

Position summary:

As a Staff Data Engineer, you'll be instrumental in championing data quality and best practices within Sojern's Business Systems Engineering Team. You'll 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. By collaborating with various teams and leveraging your cross-channel expertise, you'll contribute to process improvements and streamlined workflows. If you're passionate about data quality and thrive in a fast-paced, innovative environment, Sojern is the perfect place for you.

What you will do:

• Data Analysis: Conduct in-depth data analysis to uncover valuable insights and trends, supporting strategic decision-making.
• Data Modeling: Develop and maintain complex data models to effectively represent and analyze diverse datasets.
• Data Quality: Ensure data integrity and accuracy through rigorous quality checks and validation processes.
• Problem Solving: Identify and resolve data-related challenges, collaborating with cross-functional teams to implement effective solutions.
• Automation: Develop and implement data automation processes to streamline workflows and improve efficiency.
• Innovation: Stay up-to-date with the latest data technologies and trends, exploring opportunities to leverage them for competitive advantage.
• Technical Leadership: Be the tech lead for a small team of engineers doing this work.

What you bring to the table: 

Essentials

• Strong proficiency in SQL, Python, and other relevant data analysis/engineering tools.
• A self-directed work ethic.  You will be expected to drive your own ideas without micromanagement
• A positive attitude each day.  As a team, we support each other through trainings and ad hoc help
• Excellent oral and written communication skills
• Ability to work in a fast-paced environment, balance multiple priorities, and work with remote offices
• Excellent problem-solving, analytical, and communication skills.
• Ability to work independently and as part of a team.
• Experience working with data science teams
• 5+ years of experience in data engineering or a similar role.

Nice To Have 

• Experience with Google Cloud Platform, specifically BigQuery - Nice to have
• Experience with data visualization tools (e.g., Tableau, Power BI) - Nice to have
• Experience with Celigo or other iPaaS vendor - Nice to have.

What we have for you:

We take a whole-person approach to create a Sojernista Experience that allows our people to thrive, not just as employees, but as humans. As an employee of Sojern, you would benefit from this in the following ways:

• Rewards & Recognition: Competitive compensation packages, stock options offered to every employee, Bonusly program to reward and recognize team wins and performance, plus employees can take up to 40 hours of paid time per year to volunteer and give back to the community 
• Flexibility: Flexi-Friday benefit, hybrid or remote work options for most roles, time-zone friendly work hours with async collaboration
• Connection: Team offsites planned annually, six employee resources groups, regular virtual and in office team building events, monthly company All Hands & leadership Q&As
• Wellbeing: PTO allowance to recharge, comprehensive healthcare options, paid parental leave (16 weeks for birthing parents; 12 weeks for non-birthing parents), retirement contributions and investment options (for applicable locations), travel benefits (hotel stay benefit & IATA membership), plus mental health, wellness & financial health resources
• Growth: Learning & development stipend, mentorship program, career development programs, leadership training
• Productivity: Home office tech set up (laptop, monitor, keyboard, mouse), monthly internet and phone allowance, modern tools to communicate and collaborate (Slack, Google Suite)

Our Sojernista First workplace philosophy is designed to take a flexible approach, recognizing that the needs of our employees may differ depending on their role, team, or location. What does not differ is our focus on building genuine connections, increasing global collaboration, and providing programs, tools a