Data Engineer - Snowflake, Databrick, DBT, ETL- W2 position - Independent consultant

Posted Yesterday
Seattle, WA, USA
In-Office
Mid level
Logistics • Transportation
The Role
Build and maintain ETL/ELT pipelines using Databricks, DBT, and Snowflake to ingest data from Salesforce, Dynamics 365, Coupa, Workday, and Concur. Create reusable data models and deliver curated datasets for AI/ML, implement DBT tests, documentation, lineage, and ensure performance, cost efficiency, and governance compliance while collaborating with data science teams.
Summary Generated by Built In
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.

Skills Required

  • Hands-on experience with Databricks including PySpark, SQL, and Unity Catalog, DBT (models, tests, docs), and Snowflake (SQL, performance tuning).
  • Strong background in ETL/ELT pipeline development.
  • Experience integrating and ingesting from enterprise SaaS systems: Salesforce, Dynamics 365 (D365), Coupa, Workday, Concur.
  • Solid SQL and Python skills and knowledge of data quality frameworks.
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The Company
HQ: Auburn Hills, MI
4,509 Employees
Year Founded: 2007

What We Do

Syncreon delivers tailored, scalable and progressive solutions to customers in more than 100 global locations. The company has managed supply chain synergies for global automotive and technology premier brands for more than 60 years. We partner with customers to provide specialized logistics, operational excellence and value-added solutions in: warehouse management services, fulfilment, inbound to manufacturing, export packing, aftermarket services, reverse and repair, and transport management. syncreon specializes in helping customers create unique and inventive 3PL and 4PL operations that adapt as the industry and marketplace evolve. Our solutions are based on the lifecycle phases of planning, sourcing, making, delivering and returning products. As a global company, syncreon strategically locates its facilities in close proximity to our customers, in order to increase efficiencies and optimize supply chains through performance improvement.

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