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Senior Staff Software Engineer, Data Platform

extra holidays - extra parental leave - fully flexible

Remote:

Full Remote

Contract:

Full time

Experience:

Senior (5-10 years)

Work from:

Washington (USA), United States

Offer summary

Qualifications:

Bachelor's or Master's degree in Computer Science., At least 8 years of experience in software engineering., Strong programming skills in Python, Ruby, or Go., Experience with cloud-based data platforms like AWS or GCP..

Key responsabilities:

Design and implement the data platform.
Build sophisticated data pipelines for analytics.

Outreach Large https://www.outreach.io/

1001 - 5000 Employees

See more Outreach offers

Job description

Outreach is the first and only AI Sales Execution Platform built for intelligent revenue workflows. Built on the world’s largest foundation of customer interactions and go-to-market team data, Outreach’s leading revenue AI technology helps go-to-market professionals and their companies win by intelligently accelerating decision-making and elevating sellers to do their best work. Our powerful platform gives revenue teams the tools they need to design, measure, and improve a revenue strategy for every stage of the customer journey, improving efficiency and effectiveness across the entire revenue cycle. Over 6,000 customers, including Zoom, McKesson, Snowflake, SAP, and Okta use Outreach to power workflows, put customers at the center of their business, improve revenue results, and win in the market.

The Role

Data is at the core of Outreach's strategy. It drives our customers and ourselves to the highest levels of success. We use it for everything from customer health scores and revenue dashboards to operational metrics of our AWS infrastructure, to helping increase product engagement, to predictive analytics and causal inference via experimentation. As our customer base continues to grow, we are looking towards new ways of leveraging our data to save our customers time and improve their sales efficiency.

About the Team

The mission of the Data Platform team is to accelerate the success of our internal and external customers through trustworthy data analysis and experimentation. We eliminate data silos and democratize data through effective data ingestion, curation, governance, and serving. As a Senior Staff Software Engineer, you will play a critical role in building and maintaining ourdata platform. You will be responsible for defining our strategy, delivering data-driven functionality, and shipping end-user features. You will work alongside a talented team of software engineers, data scientists, and product managers to transform the way our customers do business.

Your Daily Adventures Will Include

Design and implement our cutting-edge data platform, harnessing state-of-the-art technologies and innovative best practices to deliver unparalleled performance, scalability, and reliability, effectively propelling our data capabilities to new heights

Build sophisticated data pipelines that power our data analytics, GenAI, machine learning, and business intelligence applications, enabling our customers to make data-driven decisions

Implement robust data security and privacy measures, ensuring that our sensitive data is protected from unauthorized access and breaches

Implement systems tracking and monitoring data integrity, data quality, and consistency

Collaborate closely with other engineering teams to seamlessly integrate our data platform components into our software applications, creating a seamless user experience

Develop framework & tools to support self-service data pipeline management

Mentor and train junior data engineers, sharing your knowledge and expertise to help grow the team

Basic Qualifications

Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field

At least 8 years of experience in software engineering and data engineering, with a focus on designing and building data platforms

Strong experience with data processing frameworks, such as Spark or Hadoop

Strong programming skills in Python, Ruby, or Go

Strong experience with cloud-based data platforms, such as AWS or GCP

Experience with data modeling, data warehousing, and ETL processes

Experience with modern Lakehouse table formats; such as Delta Lake, Apache Iceberg, Apache Hudi

Good understanding of SQL languages(s) and ability to conduct advanced performance tuning

Experience with infrastructure management, such as Kubernetes and Terraform