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Data Engineer - Phoenix, AZ, St. Louis, MO, Nashville, TN, Kansas City, KS, Denver, CO.

TechniPros, LLCPhoenix, AZ🇺🇸United States

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

SeniorityMid Senior
Work modeHybrid
LocationPhoenix, AZ, United States
SQLApache SparkETLScrumDatabricksPhoenixAzureAgileCI/CDAzure Data FactoryDelta Lake

Job description

Job Title: Data Engineer
Location: Phoenix, AZ, St. Louis, MO, Nashville, TN, Kansas City, KS, Denver, CO.
Contact: 12+ Months
Looking for W2 candidates. No C2C

Job Summary:

We are looking for a skilled Data Engineer to join our team in Houston, TX. The ideal candidate will have strong experience in PySpark, Microsoft Azure, Azure Data Factory (ADF), SQL, and Data Warehousing. This role focuses on designing scalable data pipelines, building enterprise ETL/ELT solutions, and delivering high-quality data integration across cloud-based platforms.

Key Responsibilities:

· Design, develop, and optimize scalable data pipelines.

· Build, maintain, and enhance ETL/ELT workflows using Azure Data Factory (ADF).

· Process, transform, and optimize large datasets using PySpark.

· Develop efficient data integration solutions across multiple enterprise systems.

· Create scalable and reliable cloud-based data engineering solutions on Microsoft Azure.

· Optimize SQL queries, data warehouse performance, and data processing workflows.

· Ensure data quality, reliability, consistency, and governance.

· Troubleshoot production issues and optimize pipeline performance.

· Collaborate with cross-functional teams including business analysts, data scientists, and application developers.

· Support continuous improvements in data architecture and engineering best practices.

Required Skills:

· Strong experience in PySpark.

· Hands-on experience with Microsoft Azure.

· Expertise in Azure Data Factory (ADF).

· Strong knowledge of ETL/ELT development.

· Experience designing scalable data pipelines.

· Strong SQL programming and database optimization skills.

· Experience with Data Warehousing concepts and implementation.

· Experience in data integration and performance tuning.

· Knowledge of cloud-based data engineering best practice.

Preferred Skills:

· Experience with Azure Databricks.

· Knowledge of Delta Lake, Spark SQL, and Azure Synapse Analytics.

· Familiarity with CI/CD pipelines and DevOps practices.

· Experience working in Agile/Scrum environments.

Best Regards:

Tanuja P
Phone:
Email:

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