Senior Data Engineer

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May 15

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DataRobot

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Artificial Intelligence • Enterprise • SaaS

DataRobot is a company that provides an AI platform and applications designed to integrate into core business processes. The company offers Enterprise AI Suite, AI Apps, and AI Platform services, which include Generative AI, Predictive AI, AI Governance, and AI Observability. DataRobot aims to help businesses develop, deliver, and govern AI solutions at scale, supporting industries such as energy, financial services, healthcare, manufacturing, and the public sector. With a focus on maximizing business impact and minimizing risk, DataRobot provides solutions that expedite deployment and secure numerous predictions each day.

501 - 1000 employees

Founded 2012

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

📋 Description

• Partner with internal customers and business analysts to understand business needs and build strong relationships with key stakeholders. • 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 our data analysts and data scientists to build data models and metrics to support their analytics needs. • 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

🎯 Requirements

• BA/BS preferred in a technical or engineering field • 5-7 years of experience in a data engineering or data analyst role. • 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 • AWS cloud certification is a plus

🏖️ Benefits

• Medical, Dental & Vision Insurance • Flexible Time Off Program • Paid Holidays • Paid Parental Leave • Global Employee Assistance Program (EAP) and more!