Snowflake + Python Developer | Senior Data Engineer (Snowflake & Python)

Job Title: Snowflake Python Developer | Senior Data Engineer (Snowflake & Python)

Location: New York City, NY or Raleigh, NC

Work Arrangement: Onsite

Employment Type: Contract

Duration: 10 months (Start Date: 07/13/2026 | End Date: 05/11/2027)

Pay Range: Up to $62.15/hr. on W2 | $74.00/Hr. on C2C

Domain: Financial Services / Capital Markets

Application Deadline: July 06, 2026

SKILLS REQUIRED

Primary (Must-Have):

✔️10 years of proven experience as a Senior Software Developer/Data Engineer, crafting and implementing sophisticated data systems from scratch.

✔️10 years of robust data warehousing experience, specifically with Snowflake or AWS Redshift.

✔️10 years of hands-on experience with SQL database design, advanced query authoring, optimization, and relational database management systems.

✔️7 years of extensive core development experience with Python.

✔️Strong experience building and optimizing production-grade 'big data' data pipelines, architectures, and complex datasets.

Secondary (Good to Have):

✔️5 years of working experience with cloud infrastructure, preferably Microsoft Azure (data models, API design, and API development).

✔️Technical expertise spanning data modeling, data mining, and segmentation techniques.

✔️Proven experience working within Agile development environments.

✔️Strong analytical skills related to parsing, cleaning, and leveraging unstructured datasets.

✔️Excellent collaboration skills to support and work alongside cross-functional teams in a high-velocity environment.

POSITION OVERVIEW

We are seeking an elite, senior-level Snowflake Python Developer for a 10-month onsite contract engagement based out of our New York City, NY or Raleigh, NC office locations. This senior role demands a seasoned data specialist with over a decade of experience building sophisticated, enterprise-scale data systems from scratch. Operating within a fast-paced, cross-functional domain, the successful candidate will own the architecture, implementation, and optimization of critical Big Data pipelines, leveraging a powerful combination of Snowflake, advanced SQL, and Python to drive institutional data transformation strategies.

ROLES & RESPONSIBILITIES

✔️Architect, build, and optimize robust, high-performance 'big data' data pipelines and architectures to process structured and unstructured datasets at scale.

✔️Design and execute advanced SQL database schemas, authoring complex queries and engineering fine-tuned data warehousing configurations within Snowflake.

✔️Develop, test, and maintain sophisticated backend applications and data manipulation frameworks utilizing enterprise-grade Python workflows.

✔️Incorporate cloud technologies (preferably Azure) to design and deploy scalable APIs and underlying cloud data models that meet strict security and performance requirements.

✔️Collaborate closely with cross-functional stakeholders, analysts, and engineering teams within an Agile ecosystem to translate business demands into highly technical data mining and segmentation blueprints.

BENEFITS

Medical | Dental | Vision | 401(k)

EEOC Compliance

We are an equal opportunity employer, and all qualified applicants will receive consideration for employment.

DISCLAIMER

AI Usage Policy: Pacer Group uses AI to assist in screening applications. Final hiring decisions are made by human recruiters based on qualifications and experience.