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Temporary Databricks Data Engineer Jobs in Peekskill, NY

... designed by data engineers to develop, enhance, and maintain models, focusing on analytical ... Databricks, or similar platforms). Education Requirement • Master's degree in Data Science ...

... designed by data engineers to develop, enhance, and maintain models, focusing on analytical ... Databricks, or similar platforms). Education Requirement • Master's degree in Data Science ...

... in data/database security engineering and governance Deep expertise in database security ... Databricks (required) Subject matter expertise in Object Storage (eg: S3, Azure Blob, etc) and ...

AI Engineer

Stamford, CT · On-site

$50K - $112K/yr

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials - Building ...

... data/database security engineering and governance • Deep expertise in database security ... Databricks (required) • Subject matter expertise in Object Storage (eg: S3, Azure Blob, etc) and ...

As Director of Data Analytics, you will be the first dedicated analytics engineering hire and are ... Hands-on experience with a cloud data warehouse/lakehouse (e.g., Snowflake, Databricks) and a ...

As Director of Data Analytics, you will be the first dedicated analytics engineering hire and are ... Hands-on experience with a cloud data warehouse/lakehouse (e.g., Snowflake, Databricks) and a ...

... and prompt engineering and optimization • Collaborate closely with product managers, audit ... like Databricks or Microsoft Fabric and search technologies like Azure AI Search • Solid ...

... and prompt engineering and optimization • Collaborate closely with product managers, audit ... like Databricks or Microsoft Fabric and search technologies like Azure AI Search • Solid ...

Showing results 41-60

Temporary Databricks Data Engineer information

See Peekskill, NY salary details

$46.5K

$135.5K

$185.5K

How much do temporary databricks data engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for temporary databricks data engineer in Peekskill, NY is $135,549.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,600.00 and $143,700.00 per year, depending on experience, location, and employer.

What is the difference between Temporary Databricks Data Engineer vs Temporary Spark Data Engineer?

AspectTemporary Databricks Data EngineerTemporary Spark Data Engineer
Required SkillsDatabricks platform, Spark, SQL, Python, cloud servicesApache Spark, Scala, Python, SQL, cloud environments
CertificationsDatabricks Certified Data Engineer, cloud certificationsApache Spark certifications, cloud certifications
Work EnvironmentCloud-based Databricks platform, collaborative environmentOn-premises or cloud Spark clusters, flexible environments
Industry UsageData engineering projects leveraging Databricks platformBig data processing using Spark in various environments

While both roles involve Spark and cloud skills, a Temporary Databricks Data Engineer specializes in the Databricks platform, offering integrated tools and collaborative features. A Temporary Spark Data Engineer focuses on Spark core technology, often working in diverse environments. The choice depends on the specific platform and tools used by the employer.

What cities near Peekskill, NY are hiring for Temporary Databricks Data Engineer jobs?

Cities near Peekskill, NY with the most Temporary Databricks Data Engineer job openings:

Application Support Lead / Technical Lead - Long-term Contract - Hybrid

Benchmark IT- Technology Talent

Montvale, NJ • On-site

Other

Re-posted 24 days ago


Job description

Applications Support Technical Lead Data Analytics / Azure / Databricks

Our client, a prestigious global firm, we seeking an experienced Applications Support Technical Lead for a long-term contract opportunity supporting global, Azure-based data analytics platforms. This is a hybrid role requiring 3 days per week onsite.

This is a hands-on technical leadership position focused on complex incident resolution, data platform troubleshooting, large dataset support, and root-cause analysis across modern Azure data environments.

The right candidate will serve as an escalation lead for challenging production issues involving large datasets, data pipelines, performance bottlenecks, configuration problems, and data-processing failures. You will work closely with support analysts, engineering teams, and product stakeholders to diagnose issues, guide resolution, and help create durable fixes.
This is a hybrid role with 3 days per week onsite.

Key Responsibilities
  • Lead technical support and escalation for complex data analytics application issues

  • Troubleshoot large-scale data processing problems involving volume, performance, data quality, configuration, and transformation logic

  • Investigate issues across Azure data services, Databricks, PySpark, SQL Server/DWH, ADLS, Delta, and Parquet

  • Diagnose ETL, reporting, dataset upload, and data movement issues across cloud-based platforms

  • Use advanced T-SQL skills to analyze, tune, and resolve production data issues

  • Create reusable troubleshooting assets, including runbooks, query packs, diagnostics, and support documentation

  • Coach analysts and partner with engineering/product teams to drive root-cause closure

Required Experience
  • 8+ years of experience in application support, technical lead, data platform support, or production troubleshooting roles

  • Strong hands-on experience with Azure data engineering and Python

  • Working knowledge of Databricks and PySpark

  • Strong T-SQL / data warehouse background, including stored procedures, functions, execution plans, indexing, CTEs, temp tables, and performance tuning

  • Experience troubleshooting large datasets, data pipelines, ETL workflows, and reporting issues

  • Strong understanding of relational database concepts and modern data platform support

  • Excellent communication skills with the ability to explain complex technical issues clearly

Nice to Have
  • Azure Data Factory experience

  • ADLS file format expertise: Parquet/Delta vs. CSV/Excel

  • Power BI, Alteryx, or advanced Excel

  • MSBI / SSIS background

  • ERP data experience with SAP or Oracle

  • Basic accounting or financial dataset knowledge

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