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Remote Databricks Jobs in Edison, NJ (NOW HIRING)

Archgroup

Manager, Data Engineer (Remote)

Jersey City, NJ · Remote

$100K - $174K/yr

We unify internal and external data on modern cloud platforms-including Snowflake and Databricks within the Azure ecosystem-to produce reliable, analytics-ready data assets that support both ...

Archgroup

Manager, Data Engineer (Remote)

New York, NY · Remote

$100K - $174K/yr

We unify internal and external data on modern cloud platforms-including Snowflake and Databricks within the Azure ecosystem-to produce reliable, analytics-ready data assets that support both ...

Archgroup

Manager, Data Engineer (Remote)

New York, NY · Remote

$100K - $174K/yr

We unify internal and external data on modern cloud platforms-including Snowflake and Databricks within the Azure ecosystem-to produce reliable, analytics-ready data assets that support both ...

Archgroup

Manager, Data Engineer (Remote)

Jersey City, NJ · Remote

$100K - $174K/yr

We unify internal and external data on modern cloud platforms-including Snowflake and Databricks within the Azure ecosystem-to produce reliable, analytics-ready data assets that support both ...

NinjaOne

Senior Data Engineer

New York, NY · On-site +1

$116K - $157K/yr

Location -- We are flexible on remote working from home, if you are located in the USA and reside ... Design and build ETL/ELT pipelines with Databricks, dbt, and AWS that extract, transform, and load ...

Covera Health

Senior Provider Network Analyst

New York, NY · Remote

$96K - $127K/yr

... using Databricks, Python and SQL. * Conduct access and network adequacy analysis to evaluate ... We are a remote-first company with employees located across the U.S., and this role is fully remote ...

CIBC US

Data Security Consultant

New York, NY · On-site +1

$130K - $150K/yr

... Databricks and Microsoft Azure. * Cross-functional collaboration - Partner with technology teams ... remote (if non-local) or hybrid work arrangement where you'll spend 2 days per week on-site in ...

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All JobsDatabricks JobsRemote Databricks JobsRemote Databricks Jobs in Edison, NJ

Remote Databricks information

What is a remote Databricks engineer?

Remote Databricks jobs are positions that involve working with the Databricks data analytics platform from a location outside of a traditional office, typically from home or another remote setting. These roles often focus on developing data pipelines, analyzing big data, building machine learning models, or managing cloud infrastructure using Databricks. Employees use collaboration tools and cloud-based environments to connect with their teams and access the Databricks platform securely. Remote Databricks jobs may be available for data engineers, data scientists, machine learning engineers, and DevOps professionals. The flexibility of remote work allows professionals to collaborate with global teams while leveraging Databricks’ powerful data processing and analytics capabilities.

How does a remote Databricks engineer typically collaborate with cross-functional teams?

As a remote Databricks engineer, you will frequently work with data scientists, analysts, and other engineers through virtual collaboration tools such as Slack, Jira, and Zoom. Regular stand-up meetings, code reviews, and shared documentation platforms help maintain alignment across distributed teams. You'll often contribute to shared Databricks notebooks and participate in sprint planning to ensure data pipelines and analytics workflows meet business requirements. Effective communication and proactive documentation are key to successful remote collaboration in this role.

What are the key skills and qualifications needed to thrive as a remote Databricks engineer?

To thrive as a Remote Databricks Engineer, you need a strong background in data engineering, cloud computing (especially Azure or AWS), and proficiency in languages like Python or Scala, often supported by a degree in computer science or a related field. Familiarity with Databricks platform tools, Spark, SQL, and relevant certifications such as Databricks Certified Data Engineer Associate are typically required. Strong problem-solving, communication, and self-motivation skills help you excel in remote and collaborative data-driven environments. These skills are essential for efficiently designing scalable data solutions and collaborating virtually to drive business value.

What are the most commonly searched types of Databricks jobs in Edison, NJ?

The most popular types of Databricks jobs in Edison, NJ are:

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For Remote Databricks jobs in Edison, NJ, the most frequently searched job titles are:

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Remote Databricks jobs near you
Infographic showing various Remote Databricks job openings in Edison, NJ as of August 2026, with employment types broken down into 43% Full Time, and 57% Contract. Highlights an 100% Remote job distribution.

Lead Sales Engineer (Remote)

Soda Data

Brooklyn, NY • Remote

$160K - $180K/yr

Full-time

Medical, Retirement, PTO

Re-posted 7 days ago

Job description

Data quality is the bottleneck of the AI era. Every Fortune 500 is trying to solve it. We're the team they call.

Soda is the data quality layer for Disney, Ralph Lauren, CBRE, HelloFresh, 2K Games, and Nubank. The category is growing rapidly because AI doesn't work on bad data.

We're hiring a remote Lead Sales Engineer to own the technical side of our biggest enterprise deals and to bring up the SEs behind you. Direct line to the CRO, Director of Customer Engineering, and product team - no layers.

Who this is this for

Sales Engineers who've already done the job well and want more than another quota to support. You've owned the technical win on enterprise deals, and you're already the person junior SEs come to after a demo went sideways.

If you want a big-company SE org with an enablement team, this isn't it. If you want the hardest deals and the machine that makes everyone else better at them, this is it.

What you'll do

  • Own the technical win on our largest enterprise deals - first technical call through architecture review, security review, PoC, and closed-won
  • Scope PoCs against the customer's stated success criteria, and hold the scope so evaluations actually finish
  • Own technical and security responses on RFPs, including SOC 2 and infosec questions from regulated buyers
  • Ramp new US SEs - their onboarding, their first demos, and the call on when they're ready to go solo
  • Coach demos and run technical deal reviews. Tell people what didn't land and why
  • Build the reusable stuff - demo environments, PoC templates, competitive positioning

Hiring process

  1. Phone screen interview - 15 minute call with a founder
  2. Recorded demo - We'll give you access to the product. You'll record a short demo of Soda to a hypothetical customer.
  3. Deep dive interview - one deal you won, one you lost, and scoping a PoC from a short scenario
  4. Culture fit with the team

What you might not love

  • Priorities move. Expansion phase, a lot of work, not a lot of process.
  • No enablement team. If the PoC template doesn't exist, you write it.

Requirements

Must have

  • 6+ years as a Sales Engineer, Solutions Engineer, or Solutions Architect at a B2B SaaS company, on enterprise deals - $100K+ ACV, multiple stakeholders, three-month-plus cycles
  • You've developed other SEs - onboarding, demo coaching, or mentoring. Tell us who you brought up and what you actually did
  • Fluent in Python and SQL - you can read, write, and debug both in front of a customer
  • Strong customer communication - clear, calm, and honest under pressure. You can explain something technically complex to a Data Engineer and to a CDO in the same conversation
  • You give feedback that lands - specific, about the work and not the person. You'd rather have the awkward conversation this week than the same one in three months
  • Builder mentality, humble, high-horsepower - you write docs without being asked, you'd rather automate a task than repeat it, and you'd rather learn what you're missing than bluff it
  • Based in the US

Nice to have

  • Experience selling data quality, governance, or observability tools
  • Experience selling into regulated industries - financial services, pharma, energy, insurance
  • Data stack fluency - Snowflake, Databricks, BigQuery, dbt, Airflow, Kafka
  • Interest in growing into a management track

Benefits

  • Base salary: $160,000-$180,000
  • Equity - everyone full-time at Soda is a shareholder
  • Location: Remote (US-based)
  • Benefits: PTO, 401k, medical insurance

Apply