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Flexible Databricks Data Engineer Jobs in New York

Databricks Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

Databricks Data Engineer We are seeking an experienced Databricks Data Engineer to design, develop, and optimize scalable data solutions using the Databricks platform. The ideal candidate will build ...

DataBricks Data Engineer

New York, NY

$125K - $150K/yr

Databricks Data Engineer We are seeking a skilled and experienced Databricks Data Engineer to join our team. As a Databricks Data Engineer, you will be responsible for designing, developing, and ...

Databricks Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

Data Engineer, Databricks Location: New York NY (4 days onsite), w2 only, local candidates only Duration: 6 Months Must have Data Modelling, Data Lake, Building Dashboard, and Databricks, Sales Comp ...

DataBricks Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

As a Databricks Data Engineer, you will be responsible for designing, developing, and implementing ... and Flexible spending account (FSA), Life Insurance, Pet Insurance, Short term and Long term ...

This role is ideal for a hands-on engineer with deep expertise in Databricks, modern data engineering practices, and Sales Incentive Compensation (SIC) processes. Candidates with a proven track ...

DataBricks Data Engineer

Manhattan, NY · On-site

$140 - $180/hr

This role is ideal for a hands‑on engineer with deep expertise in Databricks, modern data engineering practices, and Sales Incentive Compensation (SIC) processes. Candidates with a proven track ...

Databricks Data Engineer Location: New York, New York Duration: Contract Job ID: 178866 Job Overview: We are seeking a skilled and experienced Applications Developer to join our team in New York, New ...

Databricks/Data Architect

Manhattan, NY · On-site

$70.25 - $90.50/hr

Databricks/Data Architect (Enterprise Data Platform) Experience: 14+ Years Location - NJ, Hybrid ... Design secure, scalable Lakehouse architecture using Delta Lake Data Engineering & Processing

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Flexible Databricks Data Engineer information

What is the difference between Flexible Databricks Data Engineer vs Cloud Data Engineer?

AspectFlexible Databricks Data EngineerCloud Data Engineer
CredentialsProficiency in Databricks, Spark, SQL, Python, cloud platforms (AWS, Azure, GCP)Cloud platform certifications (AWS, Azure, GCP), SQL, Python, data pipeline skills
Work EnvironmentData engineering within Databricks environment, collaborative teams, cloud infrastructureDesigning and managing data solutions on cloud platforms, often across multiple services
Industry UsageTech, finance, healthcare, retail using Databricks for big data processingBroad industry use, focusing on cloud infrastructure and data pipelines

Flexible Databricks Data Engineers specialize in building data pipelines within the Databricks platform, leveraging Spark and cloud services. Cloud Data Engineers focus on designing and maintaining data solutions across various cloud environments. Both roles require cloud and SQL skills, but the Databricks Data Engineer emphasizes Databricks-specific tools and Spark expertise.

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:

Databricks Data Engineer

AGUH INC

Manhattan, NY • On-site

$126K - $151K/yr

Other

This job post has expired today. Applications are no longer accepted.


Job description

Databricks Data Engineer

We are seeking an experienced Databricks Data Engineer to design, develop, and optimize scalable data solutions using the Databricks platform. The ideal candidate will build and maintain enterprise data pipelines, support analytics and reporting solutions, and work closely with business teams to deliver reliable data-driven solutions.

Responsibilities:
  • Develop and maintain Databricks-based data pipelines using Delta Lake, Delta Live Tables, and Workflows.
  • Design and optimize ETL/ELT processes, data models, and data transformation workflows.
  • Support Sales Incentive Compensation (SIC) processes, including commission calculations, quota management, and reporting.
  • Collaborate with Finance, Sales Operations, and business teams to translate requirements into technical solutions.
  • Troubleshoot data issues, improve pipeline performance, and ensure data quality.
  • Integrate Databricks with cloud platforms such as Azure, AWS, or Google Cloud Platform and data services like Kafka or Azure Data Factory.
  • Document data architectures, workflows, and technical processes.
Required Skills:
  • 7+ years of experience in Data Engineering with 3+ years of Databricks experience.
  • Strong experience with Databricks, Delta Lake, Unity Catalog, and Databricks Workflows.
  • Proficiency in Python and/or Scala with advanced SQL skills.
  • Experience with ETL/ELT, data modeling, and pipeline orchestration.
  • Knowledge of Sales Incentive Compensation systems is a plus.
  • Strong analytical, problem-solving, and communication skills.
  • Databricks certification is preferred.