Data Engineer - Snowflake, Databrick, DBT, ETL- W2 position - Independent consultant
Syncreon Consulting · Seattle, Washington, United States
Truck Transportation · 10,001+ employees
About the role
The role involves building and maintaining data pipelines in Databricks, DBT, and Snowflake to provide curated datasets for AI/ML. Responsibilities include ingesting data from various SaaS systems and ensuring performance optimization and governance compliance.
What they look for
Requirements
Candidates must have hands-on experience with Databricks, DBT, and Snowflake, along with strong SQL and Python skills. Experience with enterprise SaaS systems like Salesforce, Workday, and Coupa is required.
Full description
Company Description
We provide Recruitment and Staffing services to many industries and domain through our innovative and customized solutions and passionate commitment to research. Ability to understand the hiring strategies, availability of talent and compensation benchmarking makes us proud hiring partner for various industries. We work as trusted business partners and always strive to deliver the most value and highest return on investment for our clients. We are highly trained business professionals with strong understanding of clients need. We work closely with the leading staffing trade associations, training, and research organizations to ensure we are knowledgeable of the latest industry trends and technologies.
Job Description
Requirements
1. ‎Hands-on experience with Databricks (PySpark/SQL, Unity Catalog), DBT (models, tests, docs), and Snowflake (SQL, performance tuning).
2. Strong background in ETL/ELT pipeline development.
3. Experience with enterprise SaaS systems (Salesforce, D365, Coupa, Workday, Concur).
4. Solid SQL and Python skills; knowledge of data quality frameworks.
Responsibilities
1. Ingest and process data from Salesforce (Investments), Dynamics 365 & Coupa (Finance), Workday (HR), Concur (Operations), and external program/partner data (e.g., Health, Education).
2. Build and maintain pipelines in Databricks, DBT, and Snowflake to deliver curated datasets for AI/ML.
3. Design simple, reusable data models to support training and inference.
4. Implement data quality tests, documentation, and lineage in DBT
5. Ensure performance optimization, cost efficiency, and compliance with governance standards.
6. Collaborate with Knowledge Management (AI/Data Science) team to provide feature ready datasets.
Regards,
Mohammed ilyas,
PH - 229-264-4024 or Text - 229-469-1455 or you can share the updated resume at Mohammed@vtekis. com
Additional Information
All your information will be kept confidential according to EEO guidelines.
