[Remote] Sales Engineer at Astronomer

New York, New York, United States

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

DataOps, Enterprise Software, Cloud ComputingIndustries

Skills

Key technologies and capabilities for this role

Sales EngineeringSolutions EngineeringConsultingData WorkflowsApache AirflowWorkflow OrchestrationData EngineeringTechnical Content CreationProblem-SolvingClient FeedbackProduct Development

Questions & Answers

Common questions about this position

Is this Sales Engineer position remote?

Yes, this is a fully remote position.

What experience is required for the Sales Engineer role?

Candidates need 2+ years in Sales Engineering, Solutions Engineering, Consulting or similar role within the data space, ideally with experience in modern data tools like Snowflake, Databricks, Fivetran, or Tableau, plus familiarity with core data engineering concepts such as orchestration, ELT, Git, and RBAC.

What communication skills are needed for this role?

Strong verbal and written communication skills are required to simplify complex technical concepts for diverse audiences.

What are the bonus qualifications for the Sales Engineer position?

Bonus points for hands-on Python scripting skills, experience with Apache Airflow or other open-source data tools, background in designing data workflows in production, customer-facing experience in technical or consultative roles, and experience with Command Line Interfaces (CLI).

What salary or compensation does this role offer?

This information is not specified in the job description.

Astronomer

Data orchestration platform for pipeline management

About Astronomer

Astronomer.io provides a data orchestration platform that utilizes Apache Airflow to simplify the deployment of data pipelines. Its main product, Astro, helps businesses manage and monitor their data flows, allowing them to focus on delivering essential data pipelines. The platform supports data unification across various clouds and offers over 1500 integrations, making it suitable for data and machine learning teams in industries like finance and e-commerce. Astronomer.io distinguishes itself from competitors by offering enterprise-grade security, zero-downtime upgrades for Airflow, and tools for monitoring pipeline health, which enhance compute efficiency and reduce delays in task scheduling. The company's goal is to empower organizations to optimize their data strategies and achieve a significant return on investment by ensuring their applications operate with maximum reliability.

Cincinnati, OhioHeadquarters

2018Year Founded

$272.1MTotal Funding

SERIES_CCompany Stage

Data & Analytics, Enterprise Software, CybersecurityIndustries

201-500Employees

Benefits

Remote Work Options

Company Equity

Risks

Increased competition from platforms like Prefect and Dagster poses a market challenge.

Over-reliance on Apache Airflow could be risky if community focus shifts.

Rapid AI advancements may outpace Astronomer's feature integration, risking client dissatisfaction.

Differentiation

Astronomer offers Astro, a modern data orchestration platform powered by Apache Airflow.

Astro enables data teams to build, run, and observe data pipelines-as-code efficiently.

Astronomer provides enterprise-grade security and over 1500 integrations for data unification.

Upsides

Astronomer's revenue grew over 200% in H1 2023, indicating strong market demand.

Collaboration with Microsoft Azure enhances Astronomer's cloud-native data orchestration capabilities.

Integration with Anyscale boosts Astronomer's offering for scalable machine learning workflows.

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