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Remote Databricks Data Engineer Jobs in New York

Capital Rx

Senior Data Engineer

Manhattan, NY · On-site +1

$140K - $160K/yr

Familiarity with Spark/Databricks and cloud data warehouses (Snowflake preferred) * CI/CD for data ... Remote, US Salary Range $140,000--$160,000 USD All employees are responsible for adherence to the ...

Shaped

Data Engineer

Brooklyn, NY · Remote

$130K - $200K/yr

We're a remote team but have a small office in Brooklyn, New York. We are looking for a data engineer to design, build and optimize Shaped's real-time and batch streaming infrastructure. You will be ...

TMS

Control-M Developer - Data Engienering

Edison, NJ · Remote

$50.50 - $69/hr

Remote Experience: 10+ years Duration: 6+ Months Employment Type: Contract Job Summary We are ... Integrate Control-M with cloud-native services (S3, ADLS, Lambda, Databricks, etc.) * Use shell ...

NinjaOne

Data Software Engineer

New York, NY · On-site +1

Location - We are flexible on remote working from home, if you are located in the USA and reside in ... Build dashboards and reports in Tableau and Databricks to expose key data points and trends to ...

C the Signs

AI Data Engineer

New York, NY · On-site +1

$125K - $150K/yr

Position Summary The Data Engineer will play a crucial role in developing and fine-tuning data ... Flexible working arrangements (remote or hybrid options available). * The opportunity to work on ...

C the Signs

AI Data Engineer

New York, NY · Remote

$117K - $140K/yr

Position Summary The Data Engineer will play a crucial role in developing and fine-tuning data ... Flexible working arrangements (remote or hybrid options available). * The opportunity to work on ...

Chord Commerce

Data Engineer

New York, NY · On-site +1

$140K - $180K/yr

Our company is proudly remote-first, distributed across North America. The Opportunity * Describe the role and team the candidate will be joining As a Data Engineer, you will: * Build and maintain ...

Lakeview Loan Servicing

Data Engineer

Manhattan, NY · Remote

$140K - $240K/yr

This is a fully remote position that offers a competitive salary range of $140,000 to $240,000 USD ... Databricks, or equivalent technologies * Experience with streaming and real-time data platforms ...

FOCUSKPI INC

Be Seen First

Data Engineer

New York, NY · Remote

$45 - $55/hr

FocusKPI is looking for a Data Engineer to join our client's growing team and spearhead analyses ... Work Location: 100% remote and ideally able to work New York EST hours Duration: 5 months/ 40 hrs ...

FOCUSKPI INC

Be Seen First

Data Engineer

New York, NY · Remote

$45 - $55/hr

FocusKPI is looking for a Data Engineer to join our client's growing team and spearhead analyses ... Work Location: 100% remote and ideally able to work New York EST hours Duration: 5 months/ 40 hrs ...

Mondo

Data Engineer II

Manhattan, NY · Remote

$126K - $151K/yr

Remote (EST hours preferred) Start Date Is: ASAP Duration: Permanent Compensation Range: $140-150K 10% bonus We're seeking an experienced Data Engineer to join our engineering team. We are looking ...

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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

Data Engineer

Precision Technologies Corp

Jersey City, NJ • Remote

$117K - $140K/yr

Full-time

Posted 19 days ago

Job description

Role: Data Engineer

Location: Remote, however travel might be required as per business requirements

Where you’re headed

Laying the groundwork for data analysis and experimentation, you’ll guide clients through the digital landscape with a sharp eye on what’s important for them. You’ll clean, transform, and aggregate data; compile and install database systems; write complex queries; scale to multiple machines; and put disaster-recovery systems in place.

Where you’ve been

You have an advanced degree in computer science (or the equivalent) and a passion for big-data technologies.

Job Description:

  • Hands-on experience in building data solutions for advanced analytics
  • Deep knowledge of Big-Data technologies, such as Hadoop and Spark
  • Solid programming skills in Python, Java, SQL Querying, and Scala
  • Familiarity with advanced-analytics tools, such as Anaconda or Spark for machine learning
  • Excellent collaboration and communication skills-with teams and clients alike
  • Intellectual curiosity and a willingness to work outside your comfort zone