Data Engineer Job Description Template

About [Company Name]

[Company Name] enables data-driven decision-making by building robust infrastructure that powers analytics and machine learning. We support enterprises and fast-growth companies in extracting value from large-scale datasets.

The Opportunity

We are hiring a Senior Data Engineer to design, build, and optimize data pipelines and warehouses. You will ensure data quality, reliability, and accessibility across the organization. This role requires strong engineering expertise and the ability to scale data systems to meet growing business needs.

What You'll Do

Design and implement ETL/ELT pipelines using Airflow or dbt
Build and maintain data warehouses (Snowflake, BigQuery, Redshift)
Work with structured and unstructured data at scale
Implement data validation and monitoring systems
Develop APIs and data services for cross-team consumption
Optimize SQL queries and data storage for performance
Collaborate with data scientists and analysts to support ML/BI use cases
Ensure compliance with GDPR, CCPA, and data governance policies
Automate repetitive workflows and improve reliability
Lead architecture discussions and mentor junior data engineers

What You'll Bring

5+ years of professional experience as a Data Engineer
Strong expertise in SQL and Python
Hands-on experience with cloud data platforms (AWS/GCP/Azure)
Familiarity with Spark, Kafka, or Flink for real-time processing
Deep understanding of data modeling and schema design
Proven ability to work with petabyte-scale data
Strong problem-solving and analytical skills
Ability to work collaboratively with cross-functional teams
Excellent written and verbal communication skills
Track record of delivering high-quality, reliable data systems

Nice to Have

Experience with machine learning pipelines
Knowledge of graph databases (Neo4j)
Experience with real-time analytics systems
Contributions to data engineering open-source projects
Advanced degree in Computer Science, Data Engineering, or related field

What We Offer

Competitive salary range: $120,000 - $145,000
Comprehensive health insurance package
401(k) with matching contributions
Paid vacation, sick days, and parental leave
Remote-first culture with flexible hours
Annual education budget for training and certifications
Stock option grants
Wellness and mental health programs

About This Data Engineer Job Description Template

This comprehensive data engineer job description template has been crafted to help you attract top talent in today's competitive market. Based on analysis of successful job postings from leading companies, this template includes all essential elements needed to communicate your opportunity effectively.

What Makes This Template Effective

Clear Structure: Organized sections make it easy for candidates to scan and understand the role

SEO Optimized: Includes relevant keywords to improve visibility on job boards and search engines

Inclusive Language: Written to appeal to diverse candidates and avoid unconscious bias

Comprehensive Coverage: Covers responsibilities, requirements, and benefits thoroughly

Customizable Format: Easy to modify for your specific needs and company culture

How to Use This Template

Copy the template using the button above

Replace all placeholder text (marked with brackets) with your information

Adjust requirements and responsibilities based on your specific needs

Add any unique perks or benefits your company offers

Review for accuracy and compliance with local regulations

Post to your careers page and job boards

Best Practices for Data Engineer Hiring

When hiring for a data engineer position, focus on both technical skills and cultural fit. The best candidates will not only have the required experience but also align with your company's values and long-term vision. Use this template as a starting point, but don't forget to inject your company's personality and unique value proposition.