AI & Data - Data Engineer

Artech
Seattle, WA, United States
3 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Compensation
$128,960.0 - $135,200.0
Working hours
Regular working hours

Tech stack

Unity 3d Artificial Intelligence Software as a Service Databases Data Governance Extract Transform Load (ETL) Python (Programming Language) Knowledge Management Performance Tuning Salesforce.Com SQL Databases Data Processing
+7 more
Scripting Snowflake Pyspark Data Pipelines Workday Cisco Databricks

Job description

  • Ingest and process data from various enterprise and external sources.
  • Build and maintain data pipelines in Databricks, DBT, and Snowflake.
  • Implement data quality tests, documentation, and lineage in DBT.
  • Collaborate with Knowledge Management teams to provide feature-ready datasets.

Requirements

Artificial Intelligence (AI), Artificial Intelligence (AI), Performance Tuning/Optimization, SQL (Structured Query Language), Cisco Unity, Database Extract Transform and Load (ETL), Software as a Service (SaaS), Salesforce.com, Python Programming/Scripting Language, Data Quality, * Hands-on experience with Databricks (PySpark/SQL, Unity Catalog), DBT (models, tests, docs), and Snowflake (SQL, performance tuning).

  • Strong background in ETL/ELT pipeline development.
  • Experience with enterprise SaaS systems (Salesforce, D365, Coupa, Workday, Concur).
  • Solid SQL and Python skills; knowledge of data quality frameworks.
  • Prior work experience at client or in client’s Industry.
  • Applicants must be able to work directly for Artech on W2., * Experience in designing reusable data models for AI/ML.
  • Familiarity with data governance standards and cost efficiency strategies.
  • Strong collaboration skills with AI/Data Science teams.

Benefits & conditions

  • Opportunities for professional development and career advancement.
  • Inclusive and collaborative work environment.
  • Comprehensive benefits package.

About the company

Join our dynamic team at a leading technology services company, where you will play a crucial role in designing and maintaining data infrastructure to support AI and data-driven initiatives.

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