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Data & AI/MLData Engineer

Data Engineer - Job Referral Request

Purpose: Requesting referral for data engineering position
Target: Data Engineer or Data Platform Lead

Email Subject

Data Engineer interested in [Company Name] opportunity

Alternative subjects:

  • • Experienced Data Engineer - [Company Name] referral request
  • • Data Pipeline & ETL specialist seeking role at [Company Name]
  • • Data Engineer - [Job Title] opportunity inquiry

Email Body

Hi [Name],

I hope you're doing well! I'm [Your Name], a Data Engineer with [X years] of experience building scalable data pipelines and infrastructure.

I recently came across the [Job Title] opening at [Company Name] (Job ID: [Job ID if available]), and I'm excited about [specific aspect - e.g., "your data-driven decision-making culture" or "the scale of data you process daily"].

My technical skills include:
• Data pipeline development (Apache Spark, Airflow, Kafka)
• Data warehousing (Snowflake, Redshift, BigQuery)
• ETL/ELT processes and data modeling
• Programming (Python, SQL, Scala)
• [Other relevant skills - e.g., dbt, AWS Glue, data quality frameworks]

Resume: [Resume Link]

Notable projects:
• [Project - e.g., "Built real-time data pipeline processing 100GB+ daily"]
• [Project - e.g., "Optimized ETL reducing processing time by 70%"]

GitHub: [GitHub Profile]

If my data engineering experience aligns with what your team needs, I would greatly appreciate a referral. I'd also love to learn more about the data challenges at [Company Name].

Thank you for your time!

Best regards,
[Your Name]
[LinkedIn Profile]
[GitHub Profile]

Tips for Success

  • Quantify data volumes and processing scale
  • Mention specific data tools and technologies they use
  • Emphasize data quality and reliability
  • Show understanding of their data ecosystem
  • Reference any data engineering blogs or talks they've published

Do's

  • ✓Focus on scalability and performance metrics
  • ✓Mention data governance and quality practices
  • ✓Include specific technologies from job description
  • ✓Show SQL and programming proficiency
  • ✓Demonstrate understanding of data architecture

Don'ts

  • ✗Don't confuse data engineering with data science
  • ✗Don't claim expertise in every tool
  • ✗Don't ignore data quality and testing
  • ✗Don't forget to mention cloud platforms
  • ✗Don't be vague about pipeline complexity

Placeholders Reference

[Name] - Person's first name
[Your Name] - Your full name
[X years] - Your years of experience
[Company Name] - Target company
[Job Title] - Specific role you're applying for
[Job ID if available] - Job posting ID
[Resume Link] - Google Drive/Dropbox link to resume
[Project] - Specific data engineering project with metrics
[LinkedIn Profile] - Your LinkedIn URL
[GitHub Profile] - Your GitHub URL
[Specific aspect] - Something specific about their data infrastructure

Follow-up Email

Subject: Following up - Data Engineer role at [Company Name]

When to send: 6-8 days after initial email

Hi [Name],

I wanted to follow up on my message about the [Job Title] position at [Company Name].

I'm still very interested in contributing to your data infrastructure and would appreciate any feedback or guidance.

Thank you!

Best regards,
[Your Name]

Success Stories

Ananya D.

Received referral and joined as Data Engineer at Uber

Response within 3 days

Expected Response Rate:

19-29%

Best Time to Send:

Tuesday-Thursday, 10 AM - 12 PM