Senior Data Engineer Position Available In Essex, Massachusetts

Job Listing ID:

4289983

Job Title:

Senior Data Engineer Application Deadline:

Open Until Filled

Job Location:

Salem

Date Posted:

06/12/2025

Hours Worked Per Week:

Not Provided Shift:

Not Provided Duration of Job:

Either Full or Part Time, more than 6 months You may contact this employer directly.
(Obtain the contact information to print or add to your jobs.)

Job Summary:

This remote position is open to any qualified applicant in the United States. Please note, this role is not able to offer visa transfer or sponsorship now or in the future Practice – AIA –

Artificial Intelligence and Analytics About AI & Analytics:

Artificial intelligence (AI) and the data it collects and analyzes will soon sit at the core of all intelligent, human-centric businesses. By decoding customer needs, preferences, and behaviors, our clients can understand exactly what services, products, and experiences their consumers need. Within AI & Analytics, we work to design the future-a future in which trial-and-error business decisions have been replaced by informed choices and data-supported strategies! By applying AI and data science, we help leading companies to prototype, refine, validate, and scale their AI and analytics products and delivery models! Cognizant’s AIA practice takes insights that are buried in data and provide businesses with a clear way to transform how they source, interpret, and consume their information. Our clients need flexible data structures and a streamlined data architecture that quickly turns data resources into informative, meaningful intelligence. Job Summary We are seeking an experienced Senior Data Engineer with a strong background in cloud-native data engineering , Python , and PySpark to join our growing data team. The ideal candidate will have the ability to handle complex data pipeline challenges and thrive in a fast-paced, collaborative environment. Experience with Palantir Foundry is a significant plus, but the core interview focus will be on real-world coding expertise using Python and PySpark .

Key Responsibilities:

Design, build, and optimize scalable data pipelines using PySpark and Python in AWS based environments . Solve complex data ingestion, transformation, and integration problems efficiently. Collaborate with cross-functional teams to develop end-to-end data workflows and solutions. Leverage Palantir Foundry for data modeling, ontology development, pipeline orchestration, and operational analytics (if experienced). Develop and maintain reusable code libraries and data engineering best practices. Participate in code reviews, performance tuning, and architectural discussions.

Technical Requirements:

8+ years of total software/data engineering experience. Strong command of Python programming for data processing, API integrations, and automation. Hands-on expertise with PySpark and SparkSQL for handling large-scale distributed data. Deep understanding of cloud-based data architecture . Familiarity with data lakehouse or modern data stack paradigms. Proficient in writing clean, production-ready code with unit tests and documentation. Experience with CI/CD workflows and version control (e.g., Git).

Bonus Skills:

Palantir Foundry development experience (Ontology, Code Repositories, Pipelines, Transformations). Familiarity with Foundry APIs and operational use cases. Experience in real time stream processing will be a big plus.

Salary and Other Compensation:

Application will be accepted until July 10, 2025. The annual salary for this position is between $100,000- $150,000 USD depe…

Job Classification:

Software Developers Access our statewide or regional occupation report for more information about wages,
employment outlooks, skills, training programs, related occupations, and more. Compensation

Salary:

Not Provided Job Requirements

Experience Required:

 See Job Summary

Education Required:

None

Minimum Age:

N/A Gender:

N/A