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Remote Databricks Data Engineer Jobs in New York

Independencepetgroup

Senior Data Engineer

New York, NY · On-site +1

$116K - $157K/yr

Job Location: Remote | Hybrid - United States; Chicago, New York, or Columbus, OH Main ... Implement modern data solutions using tools like dbt, Databricks, ELT frameworks, and other cloud ...

Texture

Data Engineer

New York, NY · On-site +1

$125K - $150K/yr

... data quality and availability for complex analysis by data scientists, engineers, and other ... Databricks, or Snowflake * You're proficient in ELT processes and tools like dbt * You have ...

OnMed

Senior Data Engineer

White Plains, NY · Remote

$109K - $149K/yr

You bring deep expertise in Databricks and Microsoft Azure and have led the architecture ... Data Engineering & Pipeline Development * Build and optimize high-performance, scalable data ...

Noblesoft Technologies

Data Engineer

Secaucus, NJ · Remote

$117K - $140K/yr

Job Role - Data Engineer Location - Secaucus, NJ(Remote) Job Details: We are seeking a skilled Data Engineer with strong experience in Snowflake, Python, Matillion, AWS Required Qualifications:

Noblesoft Technologies

Data Engineer

Secaucus, NJ · Remote

$117K - $140K/yr

Job Role - Data Engineer Location - Secaucus, NJ(Remote) Job Details: We are seeking a skilled Data Engineer with strong experience in Snowflake, Python, Matillion, AWS Required Qualifications:

Headspace

Staff Data Engineer

New York, NY · On-site +1

$179K - $224K/yr

Existing experience with Databricks is preferred or experience with Redshift and/or Snowflake ... City, NY (remote), and Seattle, WA (remote). Candidates must permanently reside in the US ...

Capital Rx

Data Engineer II

Manhattan, NY · On-site +1

$120K - $140K/yr

Familiarity with Spark/Databricks and cloud data warehouses (Snowflake preferred) * CI/CD for data ... Remote, US Salary Range $120,000--$140,000 USD All employees are responsible for adherence to the ...

Adidev Technologies Inc

Data Engineer

Jersey City, NJ · On-site +1

$125K - $150K/yr

Data Engineer Job Summary: We are seeking a skilled and motivated Data Engineer to join our growing ... Flexible work hours and remote work options. * Opportunity to work with a talented and passionate ...

Canoe Intelligence

Data Engineer

Manhattan, NY · On-site +1

$110K - $140K/yr

New York City (hybrid) or Fully Remote in the United States SALARY : $110,000 - $140,000 (based on NYC, will be adjusted for geo) The Role: We are seeking a Data Engineer to join our Data Engineering ...

Databricks

Strategic AI/BI Account Executive

New York, NY · On-site +1

$155K - $214K/yr

Remote - NYC Databricks is seeking a Genie + AI/BI Sales Specialist to help enterprise customers transform how business users interact with data. This high-impact role sits within the AI Go-To-Market ...

Sol de Janeiro

Director of Data

New York, NY · On-site +1

You will own the full data stack: data engineering and pipelines, the Databricks data lake, business intelligence through DOMO, data analysis capabilities, and data governance. Your primary mission ...

Headspace

Senior Data Engineer

New York, NY · On-site +1

$156K - $195K/yr

Existing experience with Databricks is preferred or experience with Redshift and/or Snowflake ... City, NY (remote), and Seattle, WA (remote). Candidates must permanently reside in the US ...

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Remote Databricks Data Engineer information

What are the key skills and qualifications needed to thrive as a Remote Databricks Data Engineer, and why are they important?

To thrive as a Remote Databricks Data Engineer, you need a solid background in data engineering, strong programming skills in Python or Scala, and experience with big data frameworks, often supported by a degree in computer science or a related field. Proficiency with Databricks, Apache Spark, cloud platforms (such as AWS or Azure), and relevant certifications like Databricks Certified Data Engineer are highly valuable. Strong problem-solving abilities, effective remote communication, and collaboration skills set top performers apart in distributed teams. These skills and qualities ensure efficient data pipeline development, seamless integration, and successful project delivery in remote environments.

What is a Remote Databricks Data Engineer?

A Remote Databricks Data Engineer is a professional who designs, develops, and manages large-scale data processing systems using the Databricks platform, often working from a remote location. They focus on building data pipelines, integrating data sources, and optimizing workflows for analytics and machine learning, leveraging tools like Apache Spark within Databricks. These engineers collaborate with data scientists, analysts, and other stakeholders to ensure data is accessible, reliable, and scalable for business needs. Remote roles offer flexibility in work location while still requiring strong communication and technical skills.

What are some common challenges faced by remote Databricks Data Engineers and how can they be addressed?

Remote Databricks Data Engineers often encounter challenges such as coordinating efficiently with distributed teams, managing access to secure data environments, and ensuring smooth pipeline deployments across different cloud platforms. To overcome these, it's important to leverage communication tools for regular check-ins, follow strict data governance protocols, and utilize collaborative features in Databricks such as shared notebooks and version control. Proactively documenting your work and staying updated with platform updates can also help streamline remote collaboration and problem-solving.
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Remote Databricks Data Engineer jobs near you

Senior Data Engineer - Cloud & AI Platforms - AIRLHV

NavitasPartners

Yonkers, NY • On-site, Remote

$40/hr

Full-time

Posted 13 days ago

Job description

Senior Data Engineer – Cloud & AI Platforms

Location: US / Canada (Remote/Hybrid)
Type: Contract / Full-Time

Overview:

We are hiring a Senior Data Engineer to support large-scale data modernization and AI-driven transformation programs. This role focuses on building robust, scalable cloud data platforms and enabling advanced analytics and AI use cases.

Key Responsibilities:

  • Architect and develop scalable data pipelines and cloud-native data solutions
  • Collaborate with data scientists, analysts, and business stakeholders
  • Ensure high performance, data quality, and governance across platforms

Required Skills:

  • Strong experience in data engineering and cloud-based architectures
  • Hands-on expertise with platforms like Databricks, Snowflake, Azure Synapse, or BigQuery
  • Proficiency in AWS, Azure, or GCP environments

Nice to Have:

  • Experience with ML/AI pipelines (Python, PyTorch, MLOps)
  • Exposure to GenAI frameworks such as LangChain or agent-based systems
  • Familiarity with AI governance and compliance standards

For more details reach at resumes@navitassols.com.