Senior Software Engineer, Data and Analytics

Seattle, WA

Outreach.io

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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 
Today, data is everywhere, but only those who truly know how to use it effectively will succeed. Outreach believes there are large swaths of value still locked in sales operations data and we are putting an effort behind building out the best team to help Outreach and our customers succeed through the use of data.  As our customer base grows, the desire for more insights, better coaching, and improvements in efficiencies outpace the supply. The Analytics team is focused on Analytics, Coaching Insights and Workflow optimization. This is a critical role that has a unique chance to build outcome-driven reports and analytics to guide our customers, improve their productivity and have a bigger impact on their revenue growth.

About the Team
This is a growing team within Outreach. This role would set the bar for engineering and operational excellence, team culture, business impact and hiring standards. Our customer base is yearning for more insights and this team will have a large impact on revenue, operational costs, and coaching efficiencies.  This team will span multiple functions including machine learning, frontend, backend engineering and data engineering. The Analytics team will work closely with Data Science to leverage models for optimization, as well as develop their own models, the Data Platform team to shape data efficiently, the Product Management and User Interface Designers to surface data in an effective way.

Your Daily Adventures will Include

  • Owner of the core company data pipeline, responsible for scaling up data processing flow to meet the data growth at Outreach
  • Implement systems tracking and monitoring data integrity, data quality and consistency
  • Develop framework & tools to support self-service data pipeline management (ETL) using wide big data related technology to improve data processing performance

Basic Qualifications

  • Extensive experience with Hadoop Ecosystem (MapReduce, Yarn, HDFS, Hive, Spark, Presto, Pig, HBase, Parquet)
  • Proficient in at least one of the SQL languages (MySQL, PostgreSQL, SqlServer, Oracle)
  • Good understanding of  SQL Engine and able to conduct advanced performance tuning
  • Strong skills in scripting language (Python, Ruby, Perl, Bash)Experience with workflow management tools (Airflow preferred)
  • Comfortable working directly with data analytics to bridge business requirements with data engineering
Why You’ll Love It Here
• Generous medical, dental, and vision coverage for full-time employees and their dependents • Flexible time off • 401k to help you save for the future• Diversity and inclusion programs that promote employee resource groups like OWN+ (Outreach Women's Network), Adelante (Latinx community), OBX (Outreach Black Connection), Mosaic (AAPI community), Pride (LGBTQIA+), Gender+, Disability Community, and Veterans/Military • A parental leave program that includes not just extended time off but options for a paid night nurse, and a gradual return to work• Infertility/ assisted reproductive services benefit• Employee referral bonuses to encourage the addition of great new people to the team• Plus, unlimited snacks and beverages in our kitchen• We’re an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status
Our success is reliant on building teams that include people from different backgrounds and experiences who can elevate assumptions and ideas with fresh perspectives. We're dedicated to hiring the whole human, not just a resume. To that end, we look for a diverse pool of applicants-including those from historically marginalized groups. We would like to invite you to apply even if you don't think you meet all of the requirements listed below. We don't want a few lines in a job description to get between us and the opportunity to meet you.
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Airflow Big Data Data Analytics Data quality Engineering ETL Hadoop HBase HDFS Machine Learning MySQL Oracle Parquet Perl PostgreSQL Python Ruby Snowflake Spark SQL

Perks/benefits: Career development Flex hours Flex vacation Health care Medical leave Parental leave Snacks / Drinks Unlimited paid time off

Region: North America
Country: United States

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