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Remote Databricks Data Engineer Jobs in New York

Databricks Data Engineer (Remote)

New York, NY ยท On-site +1

$120K - $160K/yr

Disseminating DevOps and DataOps best practices within the team. * Collaborate with teams to ... Experience or knowledge working with Databricks; * Knowledge of algorithms and data structures;

Databricks Data Engineer (Remote)

New York, NY ยท On-site +1

$120K - $160K/yr

Disseminating DevOps and DataOps best practices within the team. * Collaborate with teams to ... Experience or knowledge working with Databricks; * Knowledge of algorithms and data structures;

Data Engineer - Remote

Manhattan, NY ยท On-site +1

$126K - $151K/yr

Remote Seeking a highly skilled and motivated Data Engineer to join a dynamic team. As a key ... SQL * Databricks, Collibra, and/or Alteryx. * Familiarity with cloud-based data platforms ...

Data Engineer (Contract) (Remote)

Manhattan, NY ยท Remote

$126K - $151K/yr

Embracing a remote and flexible work philosophy, we offer our team the freedom to collaborate and ... Azure: Databricks, Data Factory, Azure SQL Database, Blob Storage, Event Hubs * GCP: BigQuery ...

Data Engineer - Remote

Manhattan, NY ยท On-site +1

$126K - $151K/yr

Data Engineer Location: Remote Project Duration: 6-12 months Responsibilities: * Analysis, design ... Strong data warehousing experience with Azure, Databricks, and Snowflake. * Demonstrated strength ...

Principal Data Engineer

New York, NY ยท On-site +1

$220K - $240K/yr

Experience using Databricks for analytics workloads, including building and optimizing data models ... remote work outside these locations. * Applicants must be authorized to work for any employer in ...

We unify internal and external data on modern cloud platforms-including Snowflake and Databricks ... You will also guide engineers and reinforce strong delivery practices, while advancing the team ...

We unify internal and external data on modern cloud platforms-including Snowflake and Databricks ... You will also guide engineers and reinforce strong delivery practices, while advancing the team ...

Manager, Data Engineer (Remote)

New York, NY ยท Remote

$100K - $174K/yr

We unify internal and external data on modern cloud platforms-including Snowflake and Databricks ... You will also guide engineers and reinforce strong delivery practices, while advancing the team ...

Data Engineer II

New York, NY ยท On-site +1

$145K - $165K/yr

Databricks CLI) * Proven ability to work independently and cross-functionally with product ... remote work outside these locations. * Applicants must be authorized to work for any employer in ...

We unify internal and external data on modern cloud platforms-including Snowflake and Databricks ... You will also guide engineers and reinforce strong delivery practices, while advancing the team ...

We unify internal and external data on modern cloud platforms-including Snowflake and Databricks ... You will also guide engineers and reinforce strong delivery practices, while advancing the team ...

Manager, Data Engineer (Remote)

New York, NY ยท Remote

$100K - $174K/yr

We unify internal and external data on modern cloud platforms-including Snowflake and Databricks ... You will also guide engineers and reinforce strong delivery practices, while advancing the team ...

Data Engineer

Parsippany, NJ ยท Remote

$105K - $151K/yr

Drive innovation within the group in areas including development efficiencies within Databricks ... Position is Parsippany, NJ preferred; remote considered The US base salary range for this full-time ...

Data Engineer

Parsippany, NJ ยท Remote

$105K - $151K/yr

Drive innovation within the group in areas including development efficiencies within Databricks ... Position is Parsippany, NJ preferred; remote considered The US base salary range for this full-time ...

Data Engineer Contractor - Talent Reserve

New York, NY ยท On-site +1

$125K - $150K/yr

Roles can vary by Hybrid, Remote, Onsite Key Responsibilities: * Data Pipeline Architecture: Design ... Leverage Databricks for large-scale, distributed data processing while ensuring data quality ...

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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.
What are the most commonly searched types of Databricks Data Engineer jobs in New York? The most popular types of Databricks Data Engineer jobs in New York are:
What are popular job titles related to Remote Databricks Data Engineer jobs in New York? For Remote Databricks Data Engineer jobs in New York, the most frequently searched job titles are:
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Databricks Data Engineer (Remote)

Indicium AI

New York, NY โ€ข On-site, Remote

$120K - $160K/yr

Other

Re-posted 22 days ago


Job description

About Indicium AI

Indicium AI is trusted by the world's leading enterprises to deliver AI into production at scale. We are a global AI-native consultancy with proven experience across Financial Services, Energy & Utilities, Healthcare & Life Sciences, Retail & CPG, and Manufacturing. From strategy, to build, to business outcomes, we unlock value from AI with unmatched clarity, speed, and capability.

Powered by 600+ AI experts serving 50+ enterprise clients from 5 global locations, we work side-by-side with top partners - including Anthropic, Databricks, AWS, OpenAI, and Microsoft - to deliver modern AI with speed and measurable impact.

The Opportunity
Responsible for the development, implementation, and maintenance of scalable, reliable, and high-performance data solutions. Will design and build data pipelines, ensuring the integration, security, and reliability of data from diverse sources to meet the needs of internal and external applications, as well as to support advanced analytics and strategic decision-making for the company.

Responsibilities:

  • Perform data ingestion/integration from various sources (relational and NoSQL databases, internal and external service APIs, files, and others) and ensure data quality and consistency.
  • Implement data storage solutions (Data Warehouses, Data Lakes) and optimize the performance of data queries and processing.
  • Managing data loading in distributed storage (whether relational or non-relational)
  • Aggregate data using distributed tools that can handle large volumes of data.
  • Design, develop, and maintain robust and efficient Electronic Logistics (ELT) pipelines using data engineering best practices.
  • Ensure the entire ELT process is functioning correctly through monitoring and metrics such as SLAs.
  • Monitor the execution of ELT applications hosted in the cloud and on-premises.
  • To ensure data security and governance by implementing data access and quality policies.
  • To provision and/or maintain the data infrastructure, ensuring scalability, availability, and security.
  • Automate the provisioning and management of infrastructure using Infrastructure as Code (IaC) tools.
  • Disseminating DevOps and DataOps best practices within the team.
  • Collaborate with teams to deliver data solutions that meet business needs.
  • Research and implement new technologies and tools to improve the efficiency and scalability of data solutions.
  • Having the freedom and critical thinking skills to propose and question solutions related to data engineering.
  • Documenting processes, architectures, and data solutions.

Requirements:

  • At least 4 years of experience in at least one programming language (Python, Java, Ruby, JavaScript, Scala, etc.);
  • Experience with version control systems such as GitHub, GitLab, Bitbucket, etc;
  • Advanced knowledge of SQL;
  • Advanced knowledge in DBT;
  • Experience or knowledge working with Databricks;
  • Knowledge of algorithms and data structures;
  • Have experience with technologies such as Spark, Kafka, Presto, and/or Airflow and feel confident creating aggregated datasets.
  • Experience with data warehouses such as Google BigQuery, Redshift, and/or Snowflake is required.
  • Have experience with Infrastructure as Code (IaC) tools, such as Terraform.
  • Have experience with cloud infrastructure (AWS, GCP, etc.)
  • Have experience with cloud data processing (AWS, GCP, Azure, Snowflake, Databricks)
  • Certification in public cloud platforms (AWS, Azure, Snowflake, Databricks, GPC) at the Associate level or equivalent.

Applicants must be U.S. citizens to be eligible for this role.

Why Indicium AIย 

  • Fast-growing start-up organisation with huge opportunity for career growth
  • Highly competitive salary package along with company bonus
  • A hugely collaborative working environment where every person's viewpoint is considered - a chance to make your mark on the business from day one!
  • Financially backed business meaning security and support for new initiatives and global market expansion
  • Pick your own Gear! Macbooks, PCs, Accessories!
  • Drive your development with a personal learning budget.

The anticipated base salary range for this role is $120,000 - $160,000. In addition to base pay, this position may be eligible for an annual discretionary bonus. An individual's final salary offer will be determined based on a variety of factors, including geographic location, experience, specialized skills, and qualifications. This compensation range is subject to updates or modifications at the company's discretion