Senior Data Engineer

Reposted 5 Days Ago
Hiring Remotely in India
Remote
50K-70K
Senior level
Artificial Intelligence • Information Technology • Machine Learning • Software
The Role
The Senior Data Engineer will develop, deploy, and maintain data products in a cloud environment, ensuring data quality and supporting analytics for internal stakeholders.
Summary Generated by Built In

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. 

Title: Senior Data Engineer (India)

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. 

You will be responsible for the following: 

  • 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

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.

Top Skills

Airflow
AWS
Aws Firehose
CloudFormation
Dbt
Fivetran
Postgres
Python
Redshift
Snowflake
Spark
SQL
Stitch
Terraform
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The Company
Boston, MA
1,610 Employees
Year Founded: 2012

What We Do

DataRobot is the AI Cloud leader, delivering a unified platform for all users, all data types, and all environments to accelerate delivery of AI to production. Trusted by global customers across industries and verticals, including a third of the Fortune 50, delivering over a trillion predictions for leading companies globally.

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