
Sr. Data Engineer - Smartsheet
View Company Profile- Job Title
- Sr. Data Engineer
- Job Location
- Bangalore, INDIA
- Job Listing URL
- https://job-boards.greenhouse.io/smartsheet/jobs/6716924
- Job Description
For over 20 years, Smartsheet has helped people and teams achieve–well, anything. From seamless work management to smart, scalable solutions, we’ve always worked with flow. We’re building tools that empower teams to automate the manual, uncover insights, and scale smarter. But more than that, we’re creating space– space to think big, take action, and unlock the kind of work that truly matters. Because when challenge meets purpose, and passion turns into progress, that’s magic at work, and it’s what we show up for everyday.
We are seeking a highly skilled and experienced Senior Data Engineer to join our Data Engineering team at Smartsheet. The ideal candidate will have a strong understanding of data pipeline architecture, data warehousing, and business intelligence. They will be responsible for designing, building, and maintaining data pipelines that support Smartsheet's business operations and analytics.
You Will:
- Design, develop, and maintain robust and scalable data pipelines that ingest, transform, and load data from various sources into Smartsheet's data warehouse.
- Collaborate with business stakeholders to understand data requirements and translate them into technical solutions.
- Implement data quality checks and monitoring to ensure data accuracy and integrity.
- Optimize data pipelines for performance and efficiency.
- Troubleshoot and resolve data pipeline issues.
- Stay up-to-date with emerging technologies and trends in data engineering.
- Perform other duties as assigned.
You Have:
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- 7+ years of experience in data engineering or a similar role.
- Strong proficiency in SQL and at least one programming language (e.g., Python, Java).
- Experience with data pipeline tools and frameworks
- Experience with cloud-based data warehousing solutions (Snowflake).
- Experience with AWS Kinesis, SNS, SQS
- Excellent problem-solving and analytical skills.
- Strong communication and interpersonal skills.
- Legally eligible to work in India on an ongoing basis.
- Fluency in English is required.
Key Skills:
- Data pipeline architecture
- Data warehousing
- ETL (Extract, Transform, Load)
- Data modeling
- SQL
- Python or Java or Go
- Cloud computing
- Business intelligence
Get to Know Us:
At Smartsheet, your ideas are heard, your potential is supported, and your contributions have real impact. You’ll have the freedom to explore, push boundaries, and grow beyond your role. We welcome diverse perspectives and nontraditional paths—because we know that impact comes from individuals who care deeply and challenge thoughtfully. When you’re doing work that stretches you, excites you, and connects you to something bigger, that’s magic at work. Let’s build what’s next, together.
Equal Opportunity Employer:
Smartsheet is an Equal Opportunity (EEO) employer committed to fostering an inclusive environment with the best employees. It is our policy to provide equal employment opportunities to all qualified applicants in accordance with applicable laws in the US, UK, Australia, Germany, Costa Rica, Japan, Bulgaria, and India. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, protected veteran or disabled status, or genetic information.
If there are preparations we can make to help ensure you have a comfortable and positive interview experience, please let us know.
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Smartsheet Company Size
Between 3,330 - 3,330 employees
Smartsheet Founded Year
2005
Smartsheet Total Amount Raised
$3,352,212,736
Smartsheet Funding Rounds
View funding detailsPost Ipo Debt
$3,200,000,000 USD
Post Ipo Equity
$30,995,632 USD
IPO
$0
Series F
$52,100,000 USD
Series E
$34,999,995 USD
Series D
$26,000,000 USD
Series C
$2,500,000 USD
Series B
$1,250,000 USD
Series A
$4,367,000 USD