Senior Data Engineer - Remote (EST)

Are you looking to accelerate your career without having to hide your authentic self - a place where you can be you? A career that’s making a bigger impact on the world?  At OneDigital, we are on a mission to help people do their best work and live their best lives.  From the services we offer to the way we show up for each other each day, we are fueling dreams, achieving big goals, and embracing each other’s truest selves.

We understand that pursuing a new job is a big deal.  Maybe you’re afraid you won’t fit in.  Well, here’s the good news.  For us, the days of “fit in to get in” are over and being different is not a barrier to getting ahead. Greatness comes in all shapes, sizes, colors, and experience levels. If you are looking for a people-first culture that is wired for growth, driven to serve, and totally committed to having your back, give us a shot. Your best life awaits.

Must be eligible to work in the United States without the need for work visa or residency sponsorship.

Our Newest Opportunity: 

Summary: 

We are seeking a Senior Data Engineer to architect and build cloud-native data platforms centered around Snowflake, dbt, and modern orchestration frameworks. The role involves 60–70% data engineering and architecture and 30–40% backend, infrastructure, and systems design, including some frontend engineering to support full-stack delivery of data-driven features where appropriate. 

Essential Duties and Responsibilities: 

• Architect and develop scalable data pipelines and models using Snowflake and dbt. 

• Design and operate orchestration using Airflow, Dagster, Prefect, or similar. 

• Define modeling standards, storage patterns, and performance strategies. 

• Collaborate on backend APIs, services, integration layers, and limited frontend interfaces supporting data-driven features. 

• Contribute to CI/CD, environment management, and automated pipeline delivery. 

• Implement quality checks, lineage, SLAs, and observability. 

• Mentor engineers and drive architectural best practices. 

• Participate in system design and multi-team architectural planning. 

Qualifications, Skills and Requirements: 

• 5+ years of experience in data engineering, data architecture, or platform engineering. 

• Strong experience with dbt (modeling, testing, deployment, environment strategies). 

• Hands-on experience with orchestration frameworks (Airflow, Dagster, Prefect, or similar). 

• Deep expertise with data warehousing platforms; e.g. Snowflake, Redshift, etc including performance tuning and RBAC. 

• Strong software engineering fundamentals in Python or Golang; advanced SQL. 

• Deep understanding of distributed systems, event-driven design, microservices, and data platform architecture. 

• Experience with metadata management, lineage tools, and observability technologies (Datadog, Prometheus, OpenTelemetry). 

• Strong communication skills for leading architectural discussions across technical and non-technical teams. 

Bonus Points: 

• Salesforce integratio