10 Data Engineer Jobs of the day – July 30, 2025

Here’s a curated list of 10 active Data Engineer roles as of July 30, 2025, available across remote, hybrid, and onsite models. These positions require expertise in technologies such as Azure Data Factory, SQL, Python, and often include domain experience in manufacturing. Many roles also emphasize skills in Databricks, Snowflake, Power BI, Microsoft Fabric, GCP, SDVI, and telecom systems like Avaya, Cisco, and Webex—supporting initiatives in data pipeline design, modernization, governance, migration, and infrastructure operations.

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10 Data Engineer Jobs of the day in USA

1. Data Engineer Microsoft Fabric & Azure Databricks

Seeking a Data Engineer (Microsoft Fabric & Azure Databricks) in Metro Atlanta, GA (Hybrid) to build scalable data pipelines, modernize legacy systems, and support analytics using Fabric, Databricks, SQL, and Power BI.

2. Data Engineer/ Lead

 

Seeking an expert in Big Data (Spark, Hive, PySpark, MapReduce) to design scalable pipelines, optimize ETL/data transformations, and ensure performance in high-volume data environments.

  • Vendor: eTek IT Services, Inc.
  • Location: Arizona City, AZ
  • Salary: Depends on Experience
  • Recruiter email: [email protected]
  • Link : Apply Now

3. Azure Data Engineer

 

Seeking a Technology Lead with strong skills in Azure Data Factory, SQL, Python, and the manufacturing domain to design data pipelines, ingestion and transformation frameworks, with exposure to Databricks, Snowflake, and Power BI reporting.

4. Google Cloud Platform Data Engineer

 

Looking for a Senior Google Cloud Platform Data Engineer with strong expertise in BigQuery and deep hands-on experience in GCP; only GCP-focused profiles considered—no Azure or AWS.

5. Sr. Google Cloud Platform Engineer with Terraform

Seeking a Senior Google Cloud Platform Engineer with strong expertise in GCP and Terraform for infrastructure automation and data engineering, with a focus on BigQuery and cloud-native solutions (no Azure/AWS profiles).

6. Data Engineer with Databricks Lead

 

Immediate C2C opening for a Lead Data Engineer with strong Azure, Databricks, Data Quality, Python, and Financial domain experience — hybrid role, onsite 1 day/week.

7. Python Data Engineer with SDVI

Seeking a Python Data Engineer with expertise in SDVI Rally, AWS, REST APIs, and media workflow automation for a 12-month remote role focused on scalable backend development and cloud-native integrations.

8. Voice Data Communication Engineer

 

Hiring a Telecom Support Engineer skilled in Avaya, Cisco, VoIP, SIP, Webex, Zendesk, and mobile device support to manage telecom systems, troubleshoot issues, maintain inventory, and assist with upgrades and documentation in a call center environment

9. Data Network Engineer

 

Hiring a Data Engineer skilled in Microsoft Fabric, Azure Databricks, SQL, Python, and Power BI to build scalable data pipelines, implement medallion architecture, support data migrations, and enforce governance—hybrid role with on-site attendance Tuesday to Thursday.

10. Data Solutions Engineer

 

Seeking a Sr. Data Solutions Engineer to lead cloud data architecture, data migration, cleansing, governance, and integration efforts for DMV modernization, with strong expertise in ETL/ELT, DB2, SQL Server, data security, and cross-functional collaboration.

  • Vendor: Refulgent Technologies Inc.
  • Location: Raleigh, NC
  • Salary: Depends on Experience
  • Recruiter email: [email protected]
  • Link : Apply Now

The Data Engineer roles listed above are currently active in today’s contract market. Each opportunity demands strong skills in infrastructure engineering, automation scripting, and modern deployment technologies. We recommend reviewing each job description thoroughly before applying.

If you experience any issues accessing the job links or submitting an application, feel free to leave a comment below — we’re here to assist.

Disclaimer: All job listings shared are sourced from publicly available information. Please verify each role’s details and the legitimacy of recruiters or vendors before sharing any personal information. Always practice caution and due diligence when working with third-party consultants.

Posted by Sravanthi

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