Senior Data Engineer
Senior Data Engineer
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Salary Not Disclosed
1 Vacancy
Job Description
About the Role
What Youll Do
- Design build and maintain cloud-native data infrastructure using Terraform for IaC.
- Develop and optimize data pipelines leveraging AWS services (Lambda Fargate Step Functions S3 Kinesis DynamoDB Aurora etc.) and Snowflake.
- Implement ELT workflows within dbt in partnership with our Analytics Engineering function
- Build and maintain LLM frameworks ensuring high-quality and cost effective outputs.
- Automate infrastructure and pipeline deployments with CI/CD best practices.
- Monitor debug and improve system performance with strong observability and logging practices.
- Partner with cross-functional teams (analytics data science product engineering) to deliver high-quality data solutions.
- Mentor teammates and contribute to engineering standards raising the technical bar across the team.
What Were Looking For
- 5 years of professional experience in data engineering or software engineering with emphasis on scalable data systems.
- Deep experience with AWS cloud services (especially Lambda Fargate Step Functions S3 DynamoDB Aurora).
- Hands-on expertise in Terraform and/or AWS CDK for managing infrastructure as code.
- Strong knowledge of SQL and experience with Snowflake or another cloud data warehouse.
- Proficiency with dbt and modern ELT patterns.
- Solid coding skills in Python (or another general-purpose language).
- Experience building pipelines to support AI/ML workflows (feature engineering training data pipelines model monitoring).
- Understanding of CI/CD workflows Git-based development and containerization (Docker).
- Knowledge of data quality governance and observability best practices.
Nice to Have
- Experience in both startup and enterprise environments with ability to adapt to fast-changing priorities while maintaining quality.
- Familiarity with orchestration frameworks (Airflow Dagster Prefect).
- Knowledge of streaming/event-driven architectures (Kinesis Kafka).
- Prior experience mentoring or leading engineers.
Why Join Us
- Work with a modern cloud-native stack (AWS serverless Snowflake dbt Terraform/CDK).
- Enable AI use cases by building the pipelines and infrastructure that power them.
- High visibility and impact your work will directly power decision-making and revenue
- A culture that values autonomy collaboration and continuous learning.
- Competitive compensation equity and benefits.
- Opportunities for career growth and leadership as we scale our data function.
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Salary and Benefits
At ClickUp we believe in transparency and fairness in compensation. The range displayed reflects the minimum and maximum target salaries for the position across all US locations. Please note that the actual compensation for this position may vary and is dependent on factors such as geographic location interview performance years of experience education level and specific skills. We encourage candidates to discuss compensation expectations during the interview process to ensure alignment with their qualifications and our companys compensation philosophy.
This position is eligible for the following benefits and perks:
- Equity
- 401k
- Health Dental and Vision insurance
- Spending accounts
- Life & Disability
- Paid parental leave
- Flexible paid time off
- Enhanced employee assistance program
- Employee wellness stipend
- Professional development stipend
Unsure if you meet all the qualifications of this job description but are deeply excited about the role We hire based on ambition grit and a passion for improving the way people work. If you think ClickUp is the company for you we encourage you to apply!
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Required Experience:
Senior IC
Employment Type
Full Time
