DataRobot

Compensation

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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. DataRobot’s enterprise AI platform democratizes 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 company’s 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 team’s 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 teammates and stakeholders Nice to Have: AWS cloud certification is a plus BA/BS preferred in a technical or engineering field The talent and dedication of our employees are at the core of DataRobot’s journey to be an iconic company. We strive to attract and retain the best talent by providing competitive pay and benefits with our employees’ well-being at the core. Here’s what your benefits package may include depending on your location and 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 to jobs when they meet 60%. At DataRobot we encourage ALL candidates, especially women, people of color, LGBTQ+ identifying people, differently abled, and other people from marginalized groups to apply to our jobs, even if you do not check every box. We’d love to have a conversation with you and see if you might be a great fit. DataRobot is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. DataRobot is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. Please see the United States Department of Labor’s EEO poster and EEO poster supplement for additional information. All applicant data submitted is handled in accordance with our Applicant Privacy Policy. DataRobot delivers AI that maximizes impact and minimizes business risk. Our AI applications and platform 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. For more information, visit our website and connect with us on LinkedIn. DataRobot has become aware of scams involving false offers of DataRobot employment. The scams and false offers use imposter websites, email addresses, text messages, and other fraudulent means. None of these offers are legitimate, and DataRobot’s recruiting process never involves conducting interviews via instant messages, nor requires candidates to purchase products or services, or to process payments on our behalf. Please note that DataRobot does not ask for money in its recruitment process. DataRobot is committed to providing a safe and secure environment for all job applicants. We encourage all job seekers to be vigilant and protect themselves against recruitment scams by verifying the legitimacy of any job offer before providing personal information or paying any fees. Communication from our company will be sent from a verified email address using the @datarobot.com email domain. If you receive any suspicious emails or messages claiming to be from DataRobot, please do not respond. Thank you for your interest in DataRobot, and we look forward to receiving your application through our official channels. Don't see the dream job you are looking for? Drop off your contact information and resume and we will reach out to you if we find the perfect fit!