

Senior Snowflake Data Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Snowflake Data Engineer in Jersey City, NJ, with a contract length of unspecified duration and a pay rate commensurate with experience. Key skills include Snowflake, SQL, Python, AWS, and financial services experience is a plus.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
560
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ποΈ - Date discovered
July 24, 2025
π - Project duration
Unknown
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ποΈ - Location type
On-site
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π - Contract type
Unknown
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π - Security clearance
Unknown
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π - Location detailed
Hoboken, NJ
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π§ - Skills detailed
#BitBucket #S3 (Amazon Simple Storage Service) #AI (Artificial Intelligence) #ML (Machine Learning) #Data Engineering #Lambda (AWS Lambda) #Snowpark #Jenkins #Data Migration #Databases #Migration #Metadata #Python #Cloud #Data Architecture #SnowSQL #AWS (Amazon Web Services) #Snowflake #Data Quality #SQL Queries #Scala #Jira #SQL (Structured Query Language) #"ETL (Extract #Transform #Load)" #Data Warehouse #Data Pipeline
Role description
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Responsibilities
Kforce has a client in need of a Senior Snowflake Data Engineer in Jersey City, NJ. Responsibilities:
β’ Design and optimize data pipelines and ETL/ELT workflows
β’ Develop and maintain scalable Snowflake data warehouses
β’ Write and tune complex SQL queries and stored procedures using SnowSQL, Python, and Snowpark
β’ Lead data migration from legacy systems to Snowflake
β’ Collaborate with data architects and business stakeholders to design data models
β’ Ensure data quality, lineage, and governance through metadata and access controls
β’ Integrate Snowflake with AWS services such as S3, Lambda, and Glue
β’ Apply CI/CD practices using Jenkins, Bitbucket, and JIRA
β’ Mentor junior engineers and support offshore development teams
β’ Stay current with Snowflake certifications and best practices
Requirements
β’ Thorough understanding of application development aspect of Snowflake Database; Familiar with how Snowflake databases
β’ Hands-on Python experience
β’ Thorough understanding of all aspects of data engineering
β’ Good understanding of Machine Learning
β’ Understanding of how AWS and cloud work
β’ CICD experience
β’ Financial services experience is a big plus
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
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