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Data & AI/ML · Data Engineer

Data Engineer - Job Referral Request

Requesting referral for data engineering position

Data Engineer or Data Platform Lead19-29% expected response rateBest sent Tuesday-Thursday, 10 AM - 12 PM

Subject

Data Engineer interested in [Company Name] opportunity

Alternate subject lines

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 and don'ts

Do

  • 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't

  • 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

[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

6-8 days after initial email

Following up - Data Engineer role at [Company Name]

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]

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