Data Engineer - Phoenix, AZ, St. Louis, MO, Nashville, TN, Kansas City, KS, Denver, CO.
Why This Role Stands Out
This Data Engineer role offers significant career growth by allowing you to design and build cutting-edge cloud-native data platforms for enterprise analytics and AI initiatives. You'll thrive here if you are passionate about modern Lakehouse architecture and want to develop your skills with technologies like Databricks and Snowflake in a hybrid work environment. Apply today to contribute to impactful projects and advance your expertise in a dynamic tech landscape.
Quick Overview
Job Description
Job Title: Data Engineer
Location: Phoenix, AZ, St. Louis, MO, Nashville, TN, Kansas City, KS, Denver, CO.
Contract: 12+ Months
Looking for W2 candidates. No C2C
Job Summary:
We are seeking a Senior Data Engineer with expertise in modern Lakehouse architecture, Databricks, Delta Lake, Snowflake, and Apache Iceberg. The ideal candidate will design and build scalable cloud-native data platforms supporting enterprise analytics, AI/ML, and Generative AI initiatives.
Key Responsibilities:
· Design enterprise Lakehouse architecture.
· Build scalable ETL/ELT pipelines using Databricks.
· Develop PySpark applications for large-scale data processing.
· Build data models using dbt.
· Implement Delta Lake and Apache Iceberg.
· Optimize Snowflake performance.
· Build batch and streaming pipelines.
· Develop reusable data engineering frameworks.
· Implement data governance and quality.
· Support AI/ML data pipelines.
Required Skills:
· Python
· SQL
· Databricks
· PySpark
· Snowflake
· Delta Lake
· Apache Iceberg
· dbt
· Apache Airflow
· Git
· Docker
· Azure / AWS / Google Cloud Platform
Preferred Skills:
· Unity Catalog
· Kafka
· Data Mesh
· Data Lakehouse
· Great Expectations
Mandatory Skills:
· Databricks
· PySpark
· Snowflake
· Delta Lake
· Apache Iceberg
· dbt
· SQL
· Python
· Airflow
· ETL/ELT
Best Regards:
Tanuja P
Phone:
Email:
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