Senior Data Engineer (f/m/d)
About this role
About the Opportunity
We’re looking for a Senior Data Engineer to help design, build, and scale modern data solutions that power analytics, operational reporting, and business decision-making across the company. You will work closely with our data, analytics, and business teams to develop high-quality data pipelines, models, and integrations that deliver clean, reliable, and actionable data.
You will join a small, cross-geography engineering team operating with a product mindset - delivering iterative value, partnering closely with business and analytics stakeholders, and owning both build and run responsibilities of a mission-critical platform.
What to expect?
Design, build, and maintain scalable data pipelines and transformations across multiple systems and sources.
Develop high-quality data models that support analytics, reporting, and operational use cases.
Partner with analytics, product, and business stakeholders to understand data needs and translate them into technical solutions.
Implement strong data quality, validation, and monitoring processes to ensure reliability and trust in the data.
Optimize data storage, processing, and performance within cloud data warehousing environments.
Contribute to the development and evolution of our modern data platform, including tooling, standards, and best practices.
Support data platform operations—troubleshooting issues, improving reliability, and ensuring SLAs are met.
Collaborate with cross-functional partners on governance, documentation, definitions, and data stewardship.
Implement CI/CD practices and Infrastructure-as-Code (IaC) to automate deployment, testing, and environment management.
Participate in code reviews, design discussions, and operational on-call rotations as needed.
Share your expertise by mentoring team members and driving data engineering best practices.
What you need to be successful?
Requirements
- 5+ years of experience as a Data Engineer or similar technical role
- Strong SQL skills and experience working with cloud data warehouses (e.g., Snowflake, Redshift, BigQuery).
- Experience building and maintaining ETL/ELT pipelines using tools such as dbt, Airflow, or similar frameworks.
- Proficiency in Python or another scripting language.
- Strong understanding of data modeling, data structures, and modern data architecture patterns.
- Experience with CI/CD workflows, version control (Git), and Infrastructure-as-Code tools (Terraform a plus).
- Familiarity with data governance, quality, lineage, and cataloging concepts and tools.
- Demonstrated ability to collaborate with analysts, engineers, and business partners in a cross-functional environment.
- Excellent communication skills and a product-focused mindset.
- A builder who enjoys solving complex data challenges with clean, reliable, scalable solutions.
- A leader who takes charge in the data engineering space and helps drive best practices
- A collaborator who thrives in cross-functional environments and communicates clearly.
- A problem-solver who cares about quality, consistency, and long-term maintainability.
- Someone who wants to make a measurable impact by empowering data-driven decision-making across the company.
- What’s in it for you?
- Join an ambitious tech company reshaping the way people build digital experiences
- Full-time employees receive Stock Options for the opportunity to share in the success of our company
- Fertility and family building benefits, including a lifetime reimbursable wallet to support your growing family.
- We value Work-Life balance and You Time! A generous amount of paid time off, including vacation days, sick days, education days, compassion days for loss, and volunteer days
- Time off to care for and focus on your growing family
- Use your personal annual education budget to improve your skills and grow in your career
- Enjoy a full range of virtual and in-person events, including workshops, guest speakers, and fun team activities, supporting learning and networking exchange beyond the usual work duties
- An annual wellbeing stipend to care for your physical, financial, or emotional health
- A monthly communication phone/internet stipend and phone hardware upgrade reimbursement.
- New hire office equipment stipend for hybrid or distributed employees. Get the gear you need to work at your best.
Nice to have
- Experience with monitoring/observability tools (e.g., Monte Carlo).
- Experience with BI tools such as Tableau
- Background in distributed systems, APIs, or event-based architectures.
- Exposure to data security, compliance, or privacy frameworks.
- Experience utilizing AI for development.