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Independent Contractor Databricks Jobs in New York

... Databricks and Snowflake. You'll work independently on some workstreams and alongside a small team of subject-matter experts and contracted technical writers and others. The expectation: you can run ...

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Independent Contractor Databricks information

What skills and qualifications are needed to thrive as an independent contractor Databricks?

To thrive as an Independent Contractor Databricks, you need a solid background in data engineering, big data analytics, and proficiency with Apache Spark, typically supported by a degree in computer science or a related field. Familiarity with Databricks platform, cloud services (such as AWS or Azure), and relevant certifications like Databricks Certified Data Engineer are highly beneficial. Strong problem-solving, communication, and self-management skills help you deliver solutions independently and collaborate effectively with clients. These skills are essential for delivering robust data solutions, meeting client expectations, and staying competitive in a rapidly evolving data landscape.

What is the difference between Independent Contractor Databricks vs Data Engineer?

AspectIndependent Contractor DatabricksData Engineer
CredentialsOften requires Databricks certifications, SQL, Python, cloud platform knowledgeRequires similar certifications, SQL, Python, cloud skills, sometimes specific to cloud providers
Work EnvironmentFreelance, project-based, remote or on-siteFull-time, corporate or tech company, hybrid or on-site
Employer & IndustryClients across industries, consulting firms, startupsTech companies, finance, healthcare, large enterprises

While both roles require data processing skills and cloud platform knowledge, Independent Contractor Databricks typically involves project-based freelance work with a focus on Databricks platform expertise. Data Engineers often work full-time within organizations, handling broader data pipeline responsibilities. The key difference lies in employment status and work setup.

What is an independent contractor Databricks?

Independent Contractor Databricks are professionals who work on a contract basis, rather than as full-time employees, to provide expertise using Databricks' unified analytics platform. They are typically hired by organizations to help with data engineering, machine learning, and big data analytics projects, leveraging Databricks' capabilities on Apache Spark. These contractors often bring specialized knowledge in cloud platforms, data pipelines, and advanced analytics, working independently or as part of project teams. Their flexible engagement allows companies to scale their data initiatives without committing to permanent hires.

What are common challenges faced by independent contractor Databricks professionals when onboarding with new clients?

Independent Contractor Databricks professionals often encounter challenges such as adapting to diverse data environments and integrating Databricks with existing infrastructure. Each client may have unique data governance policies, security requirements, and legacy systems, requiring contractors to quickly learn and align with these standards. Additionally, contractors must efficiently communicate with both technical and non-technical stakeholders to understand project goals and deliver value within tight timelines. Building rapport with in-house teams and demonstrating expertise early on can help overcome these onboarding hurdles.

What are the most commonly searched types of Databricks jobs in New York?

The most popular types of Databricks jobs in New York are:

What are popular job titles related to Independent Contractor Databricks jobs in New York?

For Independent Contractor Databricks jobs in New York, the most frequently searched job titles are:

What cities in New York are hiring for Independent Contractor Databricks jobs?

Cities in New York with the most Independent Contractor Databricks job openings:

Infographic showing various Independent Contractor Databricks job openings in New York as of August 2026, with employment types broken down into 100% Contract. Highlights an 100% In-person job distribution.

Senior Technical Content Writer

DoiT

New York, NY • Remote

Part-time

Posted yesterday

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Job description

Location

Our Senior Technical Content Writer – Data Platforms will join our global Marketing team. This remote role is ideally based in the United States, with overlap with US business hours (ET–PT) to support collaboration with internal stakeholders and occasional external experts. Candidates outside these time zones are welcome, as long as they can accommodate United States working hours.

Who We Are
DoiT is a global technology company that works with cloud-driven organizations to leverage the cloud to drive business growth and innovation. We combine data, technology, and human expertise to ensure our customers operate in a well-architected and scalable state - from planning to production.

Delivering DoiT Cloud Intelligence, the only solution that integrates advanced technology with human intelligence, we help our customers solve complex multicloud problems and drive efficiency.

With decades of multicloud experience, we have specializations in Kubernetes, GenAI, CloudOps, and more. An award-winning strategic partner of AWS, Google Cloud, and Microsoft Azure, we work alongside more than 4,000 customers worldwide.

The Opportunity

We're building a technical content program to serve data engineers, analytics engineers, and other practitioners who work inside data platforms (Databricks, Snowflake) environments. The content targets people who already know and use the platforms. It has to earn their attention by being technically grounded, specific, and useful in practice.

This role owns a meaningful slice of that program. You'll produce ebooks, long-form guides, blog posts, and webinar materials that help practitioners understand and manage compute costs inside Databricks and Snowflake.

You'll work independently on some workstreams and alongside a small team of subject-matter experts and contracted technical writers and others. The expectation: you can run a piece from research to publish-ready draft with minimal hand-holding, and you can also integrate cleanly into a collaborative review process when the content requires practitioner depth you'll need to source.

What This Is Not
This role requires technical depth, not just technical curiosity. If your strongest work is in cloud vendor blog posts that stay at the 101 level, or in marketing copy that uses platform names without engaging with how the platforms actually work, this isn't the right fit.

It also requires independent output. You'll have access to SMEs and technical reviewers, but the first draft starts with you.

Responsibilities

Ebooks and Long-Form Guides

  • Research, outline, draft, and revise comprehensive guides on Databricks and Snowflake cost management topics (compute optimization, job cluster configuration, Unity Catalog economics, photon efficiency, and similar)
  • Structure complex technical material for practitioners who have no patience for surface-level coverage
  • Own the full revision cycle: incorporate feedback from internal SMEs and external technical reviewers

Blog Posts

  • Produce technical blog posts on Databricks and Snowflake cost and query optimization topics at a pace of 2 or more per month
  • Write from observed patterns and specific data rather than marketing assertions
  • Adapt posts from longer-form assets or develop standalone pieces tied to product releases, platform updates, or practitioner pain points

Webinar Scripts and Slide Support

  • Develop research outlines, speaker scripts, and slide frameworks for live and on-demand webinars
  • Collaborate with technical presenters (internal engineers and external practitioners) to shape structure without overwriting their voice
  • Ensure accuracy and depth: webinar content goes in front of the same practitioners the written content targets

Cross-Platform Coverage (Unicorn Scope)

  • Extend coverage to Snowflake and BigQuery as the content program grows
  • Map transferable concepts across platforms without over-generalizing or flattening the technical distinctions that practitioners care about

Qualifications

Required

  • 5 to 8 years of technical content experience, with a portfolio that demonstrates depth in data engineering, cloud infrastructure, or adjacent fields
  • Demonstrated ability to write for Databricks and Snowflake practitioners: data engineers, analytics engineers, platform engineers, or FinOps specialists
  • Hands-on familiarity with Databricks and Snowflake: you understand the platform well enough to write about cluster configuration, job compute, and cost levers without relying solely on documentation
  • Ebook and long-form guide experience: not just word count, but structure, pacing, and making dense material readable without dumbing it down
  • Comfort operating at senior level: you drive workstreams, set your own research agenda, and flag accuracy issues proactively
  • Strong editorial judgment: you know when a draft needs another pass and when it's ready

Strong Preference

  • Direct experience writing about BigQuery, or other cloud data warehouse and lakehouse platforms
  • Familiarity with FinOps concepts applied to data infrastructure (cloud cost allocation, showback/chargeback, spend optimization)
  • Experience writing webinar scripts or technical presentation materials, not just post-event recaps
  • Background as a practitioner who moved into technical writing, rather than a generalist writer who learned the terminology

Are you a Do'er?

Be your truest self. Work on your terms. Make a difference.

We are home to a global team of incredible talent who work remotely and have the flexibility to have a schedule that balances your work and home life. We embrace and support leveling up your skills professionally and personally.

What does being a Do'er mean? We're all about being entrepreneurial, pursuing knowledge, and having fun! Click here to learn more about our core values.

Sounds too good to be true? Check out our Glassdoor Page.

We thought so too, but we're here and happy we hit that 'apply' button.

Full-time employee benefits include:

  • Unlimited Vacation
  • Flexible Working Options
  • Health Insurance
  • Parental Leave
  • Employee Stock Option Plan
  • Home Office Allowance
  • Professional Development Stipend
  • Peer Recognition Program

Many Do'ers, One Team

DoiT unites as Many Do'ers, One Team, where diversity is more than a goal—it's our strength. We actively cultivate an inclusive, equitable workplace, recognizing that each unique perspective enhances our innovation. By celebrating differences, we create an environment where every individual feels valued, contributing to our collective success.

#LI-Remote


Do-It logo

About Do-It

Sourced by ZipRecruiter

Industry

Plastics packaging film and sheet (including laminated) manufacturing

Company size

51 - 200 Employees

Headquarters location

South Haven, MI, US

Year founded

1973

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