Software Engineer III - Data
Bengaluru, Karnataka, India
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6sense
Reinvent the way your company creates, manages, & converts pipeline to revenue. Our ABM software reveals revenue insights that leads to high-quality pipeline, eliminating guesswork & empowering your revenue team with the data and visibility it...Our Mission:
6sense is on a mission to revolutionize how B2B organizations create revenue by predicting customers most likely to buy and recommending the best course of action to engage anonymous buying teams. 6sense Revenue AI is the only sales and marketing platform to unlock the ability to create, manage and convert high-quality pipeline to revenue.
Our People:
People are the heart and soul of 6sense. We serve with passion and purpose. We live by our Being 6sense values of Accountability, Growth Mindset, Integrity, Fun and One Team. Every 6sensor plays a part in defining the future of our industry-leading technology. 6sense is a place where difference-makers roll up their sleeves, take risks, act with integrity, and measure success by the value we create for our customers.
We want 6sense to be the best chapter of your career.
About the Team
The Core Data team is a globally distributed group (India & US) focused on building and maintaining 6sense’s most critical data assets. This includes:
- ID Graph + Firmographics + MCD (IDnF)
- Data Acquisition from public sources
- Technographics and Psychographics
- B2B Intent Network (3Pi)
- Signals (Job Postings, News Feeds)
- People & Privacy data (MPD)
Role Overview
As a Data Engineer IC3 in the Core Data team, you’ll be responsible for designing and building scalable data pipelines, integrating new data sources, and continuously improving the quality and reliability of our data assets. You will collaborate closely with data scientists, ML engineers, product managers, and other engineering teams to ensure robust, compliant, and high-impact data delivery.
This is an individual contributor role suited for someone with 3–6 years of hands-on experience who is ready to own end-to-end data engineering responsibilities for core components in a production-grade platform.
Responsibilities
- Design and maintain scalable data pipelines using distributed data processing frameworks (e.g., Spark, Airflow).
- Ingest, clean, transform, and validate large volumes of structured and unstructured data from public and third-party sources.
- Partner with internal stakeholders to deliver critical datasets.
- Contribute to maintaining the Master People Database (MPD) and ensure its integrity, deduplication, and enrichment.
- Optimize query performance and storage using tools like Snowflake or BigQuery.
- Collaborate in defining and implementing privacy-compliant data handling in accordance with GDPR/CCPA... requirements.
- Identify and fix data quality issues; write and maintain unit/integration tests for pipeline components.
- Own small to medium-sized projects end-to-end with guidance from senior engineers.
Minimum Qualifications
- 3–6 years of experience as a Data Engineer, Big Data Engineer, or similar role.
- Proficiency in Java, Python, Spark, and SQL.
- Experience with at least one distributed data processing framework (e.g., Apache Spark, Apache Flink).
- Experience working with cloud platforms like AWS, GCP, or Azure (preferably AWS).
- Familiarity with orchestration tools like Apache Airflow or similar.
- Understanding of data modeling, schema design, and data governance principles.
- Experience with data versioning, monitoring, and logging tools.
- Strong communication and collaboration skills in cross-functional teams.
Preferred Qualifications
- Experience with data ingestion from web scraping or public APIs (e.g., job boards, websites, news sources).
- Exposure to modern data stack tools like dbt, Delta Lake, Hive, Hadoop.
- Prior experience with identity resolution or entity matching pipelines.
- Understanding of privacy compliance frameworks such as GDPR and CCPA.
- Experience working in product-focused teams and delivering data for customer-facing features.
Why Join Us?
- Be part of a mission-critical team building data assets that power every layer of our product.
- Work in a modern data stack environment with real-world scale and complexity.
- Collaborate with a globally distributed team of data experts.
- Own high-impact projects from ideation to production.
Our Benefits:
Full-time employees can take advantage of health coverage, paid parental leave, generous paid time-off and holidays, quarterly self-care days off, and stock options. We’ll make sure you have the equipment and support you need to work and connect with your teams, at home or in one of our offices.
We have a growth mindset culture that is represented in all that we do, from onboarding through to numerous learning and development initiatives including access to our LinkedIn Learning platform. Employee well-being is also top of mind for us. We host quarterly wellness education sessions to encourage self care and personal growth. From wellness days to ERG-hosted events, we celebrate and energize all 6sense employees and their backgrounds.
Equal Opportunity Employer:
6sense is an Equal Employment Opportunity and Affirmative Action Employers. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. If you require reasonable accommodation in completing this application, interviewing, completing any pre-employment testing, or otherwise participating in the employee selection process, please direct your inquiries to jobs@6sense.com.
We are aware of recruiting impersonation attempts that are not affiliated with 6sense in any way. All email communications from 6sense will originate from the @6sense.com domain. We will not initially contact you via text message and will never request payments. If you are uncertain whether you have been contacted by an official 6sense employee, reach out to jobs@6sense.com
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow APIs AWS Azure Big Data BigQuery Data governance Data pipelines Data quality dbt Engineering Flink GCP Hadoop Java Machine Learning Pipelines Privacy Python Snowflake Spark SQL Testing Unstructured data
Perks/benefits: Career development Equity / stock options Flex vacation Health care Parental leave Team events Wellness
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