Senior Data Engineer, Product Analytics

DataRobot R&D is a hard-working, fast-moving, fun-loving team of developers who put products before pride. Job Description: DataRobot delivers AI that maximizes impact and minimizes business risk. Our platform and applications integrate into core business processes so teams can develop, deliver, and govern AI at scale. DataRobot empowers practitioners to deliver predictive and generative AI, and enables leaders to secure their AI assets. Organizations worldwide rely on DataRobot for AI that makes sense for their business — today and in the future. About DataRobot DataRobot delivers the industry-leading agentic AI applications and platform that maximize impact and minimize risk for your business. DataRobots enterprise AI platformdemocratizes data science with end-to-end automation for building, deploying, and managing machine learning models. This platform maximizes business value by delivering AI at scale and continuously optimizing performance over time. The companys proven combination of cutting-edge software and world-class AI implementation, training, and support services empowers any organization, regardless of size, industry, or resources, to drive better business outcomes with AI. About the role: As a technical driver and hands-on expert, the Senior Data Engineer will shape our end-to-end data strategy and guide the teams technical execution. This role is responsible for building scalable Data Warehouse and Lakehouse solutions on Snowflake, championing the ELT paradigm, and ensuring robust data governance and cost optimization. We are looking for a seasoned engineer who combines deep technical mastery with a passion for mentoring others to build and influence high-impact, data-driven solutions. Key Responsibilities:

• Architect and deliver scalable, reliable data warehouses, analytics platforms, and integration solutions. Critical role in supporting our internal AI strategy.
• Partner with Product Manager, Analytics to shape our project roadmap and lead its implementation. Collaborate with and mentor cross-functional teams to design and execute sophisticated data software solutions that elevate business performance and align to coding standards and architecture.
• Develop, deploy, and support analytic data products, such as data marts, ETL jobs (extract/transform/load), functions (in Python/SQL/DBT) in a cloud data warehouse environment using Snowflake, Stitch/Fivetran/Airflow, AWS services (e.g., EC2, lambda, kinesis).
• Navigate various data sources and efficiently locate data in a complex data ecosystem.
• Work closely with data analysts, and data scientists to build models and metrics to support their analytics needs. Data modeling enhancements caused by upstream data changes.
• Instrument telemetry capture and data pipelines for various environments to provide product usage visibility.
• Maintain and support deployed ETL pipelines and ensure data quality.
• Develop monitoring and alerting systems to provide visibility into the health of data infrastructure, cloud applications, and data pipelines.
• Partner with the IT enterprise applications and engineering teams on integration efforts between systems that impact data & Analytics
• Work with R&D to answer complex technical questions about product analytics and corresponding data structure.

Knowledge, Skills, and Abilities:

• 5-7 years of experience in a data engineering or data analyst role.
• Experience building and maintaining product analytics pipelines, including the implementation of event tracking (e.g., Snowplow) and the integration of behavioral data into Snowflake from platforms like Amplitude.
• Strong understanding of data warehousing concepts, working experience with relational databases (Snowflake, Redshift, Postgres, etc.), and SQL.
• Experience working with cloud providers like AWS, Azure, GCP, etc.
• Solid programming foundations and proficiency in data-related languages like Python, Scala, and R.
• Experience with DevOps workflows and tools like DBT, GitHub, Airflow, etc.
• Experience with an infrastructure-as-code tool such as Terraform or CloudFormation
• Excellent communication skills. Ability to effectively communicate with both technical and non-technical audiences
• Knowledge of real-time stream technologies like AWS Firehose,Spark,etc.
• Highly collaborative in working with teammatesand stakeholders

Nice to Have:

• AWS cloud certification is a plus
• BA/BS preferred in a technical or engineering field

Compensation Statement The U.S. annual base salary range for this full-time position is between $180,200,210 USD/year.Actual offers may be higher or lower than this range based on various factors,including (but not limited to) the candidates work location,job-related skills,experience,and education. The talentand dedication of our employees are at the core of DataRobots journey to be an iconic company.We strive to attractand retain the best talent by providing competitive payand benefits with our employees well-being at the core.Heres what your benefits package may include depending on your locationand local legal requirements: Medical,Dental & Vision Insurance,Flexible Time Off Program,Paid Holidays,Paid Parental Leave,Global Employee Assistance Program (EAP)and more! DataRobot Operating Principles:

• Wow Our Customers
• Set High Standards
• Be Better Than Yesterday
• Be Rigorous
• Assume Positive Intent
• Have the Tough Conversations
• Be Better Together
• Debate,Decide,Commit
• Deliver Results
• Overcommunicate

Research shows that many women only apply to jobs when they meet 100% of the qualifications while many men apply when they meet only about 60%.At DataRobot we encourage ALL candidates, especially women, people of color, LGBTQ+ identifying people, differently abled people from marginalized groups to apply even if you do not check every box. We'd love to have a conversation with you. DataRobot is proud to be an Equal Employment Opportunity (EEO) employer committed to diversity in hiring without discrimination based on legally protected characteristics. All applicant data submitted is handled in accordance with our Applicant Privacy Policy. Apply now