# Sr. Sales Engineer, East Coast

**Company:** [Bigeye](https://hotfix.jobs/companies/bigeye)
**Location:** Remote
**Role:** Sales Engineering
**Salary:** $150k – $177k/yr
**Experience:** 3+ years
**Skills:** Sales Engineering, Snowflake, Databricks, SQL, ETL, ELT, AWS, GCP, Azure, Airflow, dbt, Fivetran, Python
**Posted:** 2026-06-29

> Sales Engineer evangelizing and implementing Bigeye's data observability platform. Guide prospects through demos, POCs, and production while working hands-on with cloud data warehouses, SQL, and modern data tools.

## Job Description

## Responsibilities
- Help prospects and customers advance data-driven culture and drive concrete business outcomes.
- Evangelize the value, ease of use, and speed of Bigeye in a rapidly emerging market.
- Guide prospects from demos to proof of concepts (POCs) to production, helping them build comprehensive data observability practices.
- Design and implement industry-specific demonstrations and POCs that create repeatable outcomes for prospective customers.
- Assess the economic benefits of Bigeye and gain consensus among stakeholders.
- Attend conferences, seminars, and events to maintain market awareness.
- Collect and share product feedback with the Product and Engineering teams.
- Reply to RFIs, RFPs, and RFQs.
- Teach and showcase Bigeye using customer success stories and other assets.

## Requirements
- 3-5+ years of Sales Engineering experience (level determined based on experience).
- Experience working with cloud data warehouses or lakes, such as Snowflake, Databricks, Microsoft Synapse, and Google BigQuery.
- Aptitude to work with data hands-on, including reading and writing SQL, debugging SQL queries, and understanding user interactions with databases.
- Desire to solve a problem once and then automate it.
- Comprehension of database management practices: partitions, indices, schema design, etc.
- Knowledge of both ETL and ELT approaches to data pipelines.

## Nice-to-Haves
- 2+ years of Sales Engineering experience in B2B SaaS data products.
- Comprehension of at least one major cloud infrastructure provider (AWS, GCP, Azure).
- Hands-on experience with one or more modern data tools: Airflow, dbt, Azure Data Factory, Fivetran, etc.
- Beginner to intermediate grasp of Python or equivalent language.

## Compensation
- Salary range $150,000-177,000, plus incentive, depending on location.
- Highly competitive salary and equity opportunity.
- Medical, Dental and Vision.
- Health and Wellness package.
- 401k plan.
- Unlimited PTO.
- Elite technology package.

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