Senior Data Engineer - Remote (EST)
Location: Remote
Time Type: Full time
Job Description
Does your current company inspire you to build, grow, and innovate? Is your passion for making lasting and meaningful change being realized?
The tremendous growth in our business and increasing demand for our services means we are expanding our team in exciting ways. We have the heart of a startup and the backing of an industry leader. This means a unique career opportunity for low-ego professionals looking for a people-first, culture rich work family with which to change the world.
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 integration experience.
Experience in regulated industries.
Experience managing infrastructure with Azure, esp. AKS
The typical base pay range for this role nationwide is $150,000 to $170,000 per year.
Your base pay is dependent upon your skills, education, qualifications, professional experience, and location. In addition to base pay, some roles are eligible for variable compensation, commission, and/or annual bonus based on your individual performance and/or the company’s performance. We also offer eligible employees health, wellbeing, retirement, and other financial benefits, paid time off, overtime pay for non-exempt employees, and robust learning and development programs. You will receive reimbursement of job-related expenses per the company policy and may receive employee perks and discounts.
To learn more, visit: www.onedigital.com/careers
Thank you for your interest in joining the team!
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