Motion Recruitment Partners LLC
Data Engineer/ GCP/ Snowflake/ Airflow/ DBT/ Hybrid/ Chicago IL
Motion Recruitment Partners LLC, Westchester, Illinois, United States, 60154
A PE-backed leader in supplier intelligence is seeking a Data Engineer to support a major technology modernization initiative. With 170 employees across the U.S., the organization is growing rapidly and making strategic investments in its data infrastructure. The platform drives procurement and supply chain decisions for some of the worlds largest enterprises, leveraging more than 11 million supplier profiles, 350+ million data attributes, and $9 trillion in historical spend. Tech stack includes Snowflake, GCP, Python, SQL, Airflow, DBT, PySpark, Docker, MySQL, and PostgreSQL.
This is an exciting opportunity to play a key role in transforming how enterprise-scale supplier data is processed and delivered. Youll join a forward-thinking engineering team spearheading the migration from legacy systems to Snowflake and architecting scalable, automated data ingestion pipelines on GCP to power the companys accelerating growth. The role is primarily hands-on, with opportunities to influence architectural decisions and mentor junior engineers. This is an ideal opportunity for a mid-level data engineer who wants ownership over impactful projects, direct exposure to modern cloud-native tools, and a clear path to career growth.
Required Skills & Experience 35 years of professional data engineering experience Expertise in Snowflake Proficiency in Python and SQL Experience with Airflow and DBT PySpark knowledge for distributed data processing Docker and containerization experience Familiarity with MySQL or PostgreSQL Cloud experience (GCP preferred; AWS/Azure acceptable) Ability to troubleshoot and resolve issues independently Strong communication skills for cross-functional collaboration
Desired Skills & Experience Experience with SSIS or legacy ETL tools (helpful but not required) Background in distribution, supply chain, or supplier-related industries Mentorship experience with junior engineers Exposure to orchestration strategy design and optimization Agile team experience with Jira
What You Will Be Doing Tech Breakdown 40% Python 25% SQL and relational databases (MySQL, PostgreSQL) 20% Orchestration (Airflow, DBT) 15% Distributed processing (PySpark) Daily Responsibilities 80% Hands-On Development (data pipelines, ingestion, automation) 10% Architectural input and design 10% Mentorship and team collaboration You will receive the following benefits: Medical, Dental, and Vision Insurance PTO/Vacation time Hybrid work model Career growth and promotion potential
Applicants must be currently authorized to work in the US on a full-time basis now and in the future.
#LI-MW9 #J-18808-Ljbffr
This is an exciting opportunity to play a key role in transforming how enterprise-scale supplier data is processed and delivered. Youll join a forward-thinking engineering team spearheading the migration from legacy systems to Snowflake and architecting scalable, automated data ingestion pipelines on GCP to power the companys accelerating growth. The role is primarily hands-on, with opportunities to influence architectural decisions and mentor junior engineers. This is an ideal opportunity for a mid-level data engineer who wants ownership over impactful projects, direct exposure to modern cloud-native tools, and a clear path to career growth.
Required Skills & Experience 35 years of professional data engineering experience Expertise in Snowflake Proficiency in Python and SQL Experience with Airflow and DBT PySpark knowledge for distributed data processing Docker and containerization experience Familiarity with MySQL or PostgreSQL Cloud experience (GCP preferred; AWS/Azure acceptable) Ability to troubleshoot and resolve issues independently Strong communication skills for cross-functional collaboration
Desired Skills & Experience Experience with SSIS or legacy ETL tools (helpful but not required) Background in distribution, supply chain, or supplier-related industries Mentorship experience with junior engineers Exposure to orchestration strategy design and optimization Agile team experience with Jira
What You Will Be Doing Tech Breakdown 40% Python 25% SQL and relational databases (MySQL, PostgreSQL) 20% Orchestration (Airflow, DBT) 15% Distributed processing (PySpark) Daily Responsibilities 80% Hands-On Development (data pipelines, ingestion, automation) 10% Architectural input and design 10% Mentorship and team collaboration You will receive the following benefits: Medical, Dental, and Vision Insurance PTO/Vacation time Hybrid work model Career growth and promotion potential
Applicants must be currently authorized to work in the US on a full-time basis now and in the future.
#LI-MW9 #J-18808-Ljbffr