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Full Time Dataops Engineer Jobs in Bergenfield, NJ

Astronomer

Sales Engineer

New York, NY · On-site

$200K - $250K/yr

Astronomer is on a mission to make DataOps a first-class discipline in every modern data ... qualifications. #LI-Fulltime #LI-Hybrid At Astronomer, we value diversity. We are an equal ...

Pearson

Senior Software Engineer

Hoboken, NJ · On-site

$120K - $140K/yr

Writing maintainable, testable code using modern engineering practices. * DevOps / DataOps: CI/CD ... The full-time salary range for this position is between $120,000 - $140,000 This position is ...

Astronomer

Software Engineer - Applications

New York, NY · On-site

$144K - $160K/yr

... DataOps platform powered by Apache Airflow ® . Astro accelerates building reliable data products ... qualifications. #LI-Fulltime #LI-Hybrid At Astronomer, we value diversity. We are an equal ...

Astronomer

Staff Product Manager - NYC

New York, NY · On-site

$240K - $270K/yr

... DataOps platform powered by Apache Airflow ® . Astro accelerates building reliable data products ... You will closely collaborate with engineering, sales, and customer teams to deliver innovative ...

All JobsDataops Engineer JobsFull Time Dataops Engineer JobsFull Time Dataops Engineer Jobs in Bergenfield, NJ

Full Time Dataops Engineer information

What is the difference between Full Time Dataops Engineer vs Data Analyst?

AspectFull Time Dataops EngineerData Analyst
Required credentialsBachelor's in CS, Data Engineering, or related; certifications like AWS, AzureBachelor's in Statistics, Math, or related; certifications like Microsoft Excel, Tableau
Work environmentTechnical teams, cloud platforms, data pipelinesBusiness units, reporting tools, data visualization
Employer usageTech companies, data-driven organizationsMarketing, finance, consulting firms
Search intentBuilding and maintaining data infrastructureInterpreting data for insights

Full Time Dataops Engineers focus on developing, maintaining, and optimizing data pipelines and infrastructure, often working with cloud platforms and automation tools. Data Analysts primarily interpret data, create reports, and provide insights to support business decisions. While both roles work with data, Dataops Engineers are more technical and infrastructure-oriented, whereas Data Analysts focus on analysis and visualization.

What are the most commonly searched types of Dataops Engineer jobs in Bergenfield, NJ?

The most popular types of Dataops Engineer jobs in Bergenfield, NJ are:

Full Time Dataops Engineer jobs near you

Sales Engineer

Astronomer

New York, NY • On-site

$200K - $250K/yr

Full-time

Re-posted 25 days ago

Job description

Astronomer empowers data teams to bring mission-critical software, analytics, and AI to life and is the company behind Astro, the industry-leading unified DataOps platform powered by Apache Airflow®. Astro accelerates building reliable data products that unlock insights, unleash AI value, and powers data-driven applications. Trusted by more than 800 of the world's leading enterprises, Astronomer lets businesses do more with their data. To learn more, visit www.astronomer.io.
About this role:
Astronomer is on a mission to make DataOps a first-class discipline in every modern data organization. As the driving force behind Apache Airflow, we're powering mission-critical pipelines at scale for companies like Condé Nast, Rappi, Sonos, and more. We're expanding our Sales Engineering team to help data teams orchestrate, observe, and optimize their data pipelines with confidence.
The work location for this role is based in our New York office and follows a hybrid work model. The position requires regional travel of approximately 25%, aligned with business needs.
What You Get to Do:
  • Lead the technical sales motion in partnership with Account Executives - discovery, demos, proof-of-concepts, and architecture discussions
  • Understand customer pain and translate it into high-impact technical solutions tied to business value
  • Build and deliver tailored demos and POCs using Python, Airflow, and related tools
  • Guide customers through modern DataOps strategies - from orchestration to observability and automation
  • Influence product feedback loops, collaborate cross-functionally, and contribute to go-to-market strategy

What you bring to the role:
You're technically sharp, customer-oriented, and energized by solving real problems with data teams. We're not looking for a perfect checklist match - but here's what a strong candidate might bring:
  • Python fluency, CLI comfort, and experience building with tools like Docker
  • Familiarity with cloud-native data architectures (AWS, GCP, or Azure)
  • Understanding of data engineering workflows: orchestration, ELT/ETL, DAGs, CI/CD
  • Exposure to platforms like Airflow, Snowflake, Databricks, BigQuery, dbt, or similar
  • 3-10 years total experience, including 2+ years in a customer-facing technical role (Sales Engineering, Solutions Architect, etc.)
  • Strong communication skills across technical and business stakeholders
  • Startup-friendly mindset: proactive, adaptable, fast-moving

Bonus points if you have:
  • Experience with observability, Kubernetes, or helping teams scale modern data stacks.

Why Astronomer?
  • We're defining the DataOps layer of the modern data stack - not just orchestration
  • Airflow is the standard - we're making it enterprise-ready, secure, and scalable
  • Backed by top-tier investors and trusted by data-forward organizations
  • You'll work with a team that values clarity, ownership, and high standards - without ego

The estimated total compensation for this role ranges from $200,000 - $250,000, along with an equity component. This range is merely an estimate, and the width of the range reflects willingness to consider candidates with broad prior seniority. Actual compensation may deviate from this range based on skills, experience, and qualifications.
#LI-Fulltime
#LI-Hybrid
At Astronomer, we value diversity. We are an equal opportunity employer: we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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