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Temporary Databricks Data Engineer Jobs in Peekskill, NY

GCP Cloud Analytics Engineer

Stamford, CT ยท On-site

$59.50 - $79.50/hr

As a Data Engineer II, GCP Cloud Analytics, you will help clients design, build, and scale Google ... Preferred: * Experience with Snowflake and Databricks * Experience with Google Cloud Platform ...

Integrate AI solutions with modern data platforms, including Snowflake and Databricks. * Work with ... Collaborate with Data Engineering, ML Engineering, and Cloud teams on scalable AI architectures.

Integrate AI solutions with modern data platforms, including Snowflake and Databricks. * Work with ... Collaborate with Data Engineering, ML Engineering, and Cloud teams on scalable AI architectures.

Integrate AI solutions with modern data platforms, including Snowflake and Databricks. * Work with ... Collaborate with Data Engineering, ML Engineering, and Cloud teams on scalable AI architectures.

Integrate AI solutions with modern data platforms, including Snowflake and Databricks. * Work with ... Collaborate with Data Engineering, ML Engineering, and Cloud teams on scalable AI architectures.

Integrate AI solutions with modern data platforms, including Snowflake and Databricks. * Work with ... Collaborate with Data Engineering, ML Engineering, and Cloud teams on scalable AI architectures.

Integrate AI solutions with modern data platforms, including Snowflake and Databricks. * Work with ... Collaborate with Data Engineering, ML Engineering, and Cloud teams on scalable AI architectures.

Integrate AI solutions with modern data platforms, including Snowflake and Databricks. * Work with ... Collaborate with Data Engineering, ML Engineering, and Cloud teams on scalable AI architectures.

Integrate AI solutions with modern data platforms, including Snowflake and Databricks. * Work with ... Collaborate with Data Engineering, ML Engineering, and Cloud teams on scalable AI architectures.

Integrate AI solutions with modern data platforms, including Snowflake and Databricks. * Work with ... Collaborate with Data Engineering, ML Engineering, and Cloud teams on scalable AI architectures.

Integrate AI solutions with modern data platforms, including Snowflake and Databricks. * Work with ... Collaborate with Data Engineering, ML Engineering, and Cloud teams on scalable AI architectures.

Integrate AI solutions with modern data platforms, including Snowflake and Databricks. * Work with ... Collaborate with Data Engineering, ML Engineering, and Cloud teams on scalable AI architectures.

Integrate AI solutions with modern data platforms, including Snowflake and Databricks. * Work with ... Collaborate with Data Engineering, ML Engineering, and Cloud teams on scalable AI architectures.

Integrate AI solutions with modern data platforms, including Snowflake and Databricks. * Work with ... Collaborate with Data Engineering, ML Engineering, and Cloud teams on scalable AI architectures.

Integrate AI solutions with modern data platforms, including Snowflake and Databricks. * Work with ... Collaborate with Data Engineering, ML Engineering, and Cloud teams on scalable AI architectures.

Integrate AI solutions with modern data platforms, including Snowflake and Databricks. * Work with ... Collaborate with Data Engineering, ML Engineering, and Cloud teams on scalable AI architectures.

Integrate AI solutions with modern data platforms, including Snowflake and Databricks. * Work with ... Collaborate with Data Engineering, ML Engineering, and Cloud teams on scalable AI architectures.

Integrate AI solutions with modern data platforms, including Snowflake and Databricks. * Work with ... Collaborate with Data Engineering, ML Engineering, and Cloud teams on scalable AI architectures.

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 Sep 10, 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:

2027 Technology, Data, AI & Ventures Summer Internship Program - Data Engineer Intern

Dobbs Ferry, NY โ€ข On-site

MERCY COLLEGE
Colleges, Universities, and Professional Schoolsย โ€ขย 201 - 500 employees

$30 - $35/hr

Other

Posted 8 days ago


Key responsibilities

  • Build scalable data architectures, pipelines, and automate data processes.

  • Contribute to AWS automation, data warehousing, and workflow optimization.

  • Support platform integration efforts by developing and maintaining standardized data pipelines and frameworks.


Job description

Recruitment began on August 14, 2026

and the job listing Expires on November 15, 2026

New York, New York, United States
Hybrid

Job Description

Requisition ID: 94549

Location: New York, New York, United States

Job Requisition ID: 94549

Program Overview

Within the Tech, Data, AI, Ventures (TDAV) organization, our work is guided by a shared vision: deploying the power of technology, data, AI and ventures to accelerate sustainable competitive advantage for New York Life's businesses. We build solutions that power how we serve policy owners, agents, advisors and employees. Grounded in New York Life's culture of longโ€‘term commitment, integrity and putting people at the center of what we do, our work reflects a purposeโ€‘driven approach to innovation.

We engineer complex systems that translate into measurable business outcomes. Across technology, data, AI, cyber, product, digital experience, architecture and infrastructure, TDAV combines the scale and investment of an industry leader with the opportunity to work with leadingโ€‘edge technologies and help shape how a worldโ€‘class financial services company competes in the AI era - all backed by the stability and purpose of a mutual company built to last.

Shape your future with a dynamic internship experience at New York Life. Your internship journey is designed to challenge you through handsโ€‘on work experience that will equip you with valuable skills you can use anywhere. You will build your network through collaboration and connection with talented interns and experienced employees through teamโ€‘building activities, a collaborative intern capstone, and fun social events. By the end of your internship, you'll be equipped with new skills and a network that will propel you forward in your career journey.

What Youโ€™ll Do

Focus on building scalable data architectures, pipelines, automating data processes, enhancing data quality frameworks, and supporting cloud infrastructure initiatives. Contribute to AWS automation, data warehousing, workflow optimization, and the operationalization of data tools to create efficient systems for processing and transforming structured and unstructured data from multiple sources. Improve data management and governance by leveraging technologies such as advanced analytics, AI, and machine learning to strengthen data curation, enhance data quality, and increase efficiency across the organizationโ€™s data ecosystem. Support platform integration efforts through developing and maintaining standardized pipelines and frameworks that connect data systems and business applications.

Required Skills
  • Undergraduate or Graduate student pursuing a degree in Computer Science, Management Information Systems, Software Engineering, or a related technical field
  • Proficiency in Python, SQL, and understanding of data warehousing principles
  • Experience with AWS, dbt, Databricks, Redshift, GCP, Glue, PostgreSQL, and Informatica Data Management Cloud preferred
Eligibility Criteria
  • Currently pursuing a bachelor's or master's degree with an expected graduation date of December 2027 or May 2028
  • Available to work full-time for the entire duration of the 11-week Summer Internship Program (May 25 - August 6 2027)
  • Able to work in a hybrid environment, with three days per week on-site in New York City
  • Passionate about technology, data, AI, and innovation, with a collaborative mindset and a desire to learn and make an impact

To be eligible for this program, you must be authorized to work in the U.S. We do not offer any type of employmentโ€‘based immigration sponsorship for this program. Likewise, this program is not available to those authorized to work under optional practical training (OPT) or curricular practical training (CPT).

As part of the Technology, Data & Analytics Ventures (TDAV) Internship Program, this posting represents one of seven specialized internship opportunities: AI Engineer (MLOps), Software Engineer, Data Engineer, Platform Engineer, Security Engineer, Data Scientist, and Analyst. We encourage candidates to explore all available TDAV internship postings and apply for the role(s) that best align with their skills, interests, and career aspirations.

Pay Transparency

Salary Range: $30-35/hour + $3,000 bonus

Discretionary bonus eligible: No

Actual base salary will be determined based on several factors but not limited to individual's experience, skills, qualifications, and job location. Additionally, employees are eligible for an annual discretionary bonus. In addition to base salary, employees may also be eligible to participate in an incentive program.

We provide a full package of benefits for employees - and have unique offerings for a modern workforce, including leave programs, adoption assistance, and student loan repayment programs. Based on feedback from our employees, we continue to refine and add benefits to our offering, so that you can flourish both inside and outside of work.

Our Commitment to Inclusion

At New York Life, fostering an inclusive workplace is fundamental to who we are and how we serve our communities. We have a longstanding commitment to creating an environment where individuals can contribute their best and succeed together. This foundation is rooted in our core values of humanity and integrity, ensuring that every employee feels valued and supported. By embracing a broad range of perspectives and experiences, we achieve greater success and fulfill our promise of providing financial security and peace of mind to families across all communities.

Recognized as one of Fortune's World's Most Admired Companies, New York Life is committed to improving local communities through a culture of employee giving and volunteerism, supported by the Foundation. We're proud that due to our mutuality, we operate in the best interests of our policy owners.

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