Senior Data Engineer, Python, Snowflake, DBT

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Outreach

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2014

🤖 Artificial Intelligence

🏢 Enterprise

Artificial Intelligence • Sales • Enterprise

Outreach is a company that provides an AI-powered sales execution platform designed to streamline workflows and enhance the effectiveness of sales representatives. The platform utilizes artificial intelligence to forecast revenue accurately, manage deals, and optimize the entire sales process. Outreach helps sales teams prioritize tasks, identify prospects, and maintain engagement throughout the customer lifecycle, ultimately aiming to boost win rates and reduce churn. With over 6,000 global customers, Outreach focuses on transforming seller workflows to consistently exceed revenue targets.

📋 Description

• Data is at the core of Outreach's strategy. • It drives our product and our customers to the highest levels of success. • We use it to derive customer health scores and revenue dashboards, monitor operational metrics of our AWS infrastructure, increase product engagement and user productivity through natural language understanding, and power predictive insights and causal inference via experimentation. • As our customer base continues to grow, we are looking towards new ways of leveraging our data to deeper understand our customers’ needs and deliver new products and features to help continuously improve their customer engagement workflows. • The Business Systems Data Engineering team is on a mission to bring relevant data to every person at Outreach while advancing the use of data and promoting an insight-centric culture. • We are a centralized resource providing a suite of services to Outreach business functions across Finance, Analytics, and Support systems, with data as the critical component to a seamless experience.

🎯 Requirements

• 7+ years of Data Engineering experience. • Support strategic planning by working with Executives and Senior Managers, Principal Engineers, and cross-team Data Engineers. • Good understanding of RDBMS and NoSQL data stores and when to use each. • Experience with OLAP and OLTP type datastores including schema design and query optimization. • Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains. • Experience with distributed bus systems (Kafka, RabbitMQ). • Strong skills in at least one programming language (Python highly preferred). • Experience with Spark Ecosystem (Delta Lake, Databricks, etc.). • Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts. • Strong foundation in data modeling, schema design, and data quality best practices, with functional experience working on cloud platforms like Snowflake or Databricks. • Expertise in building multi-step ETL jobs through tooling like dbt; proficiency with workflow management platforms like Airflow and version control management tools through GitHub. • Strong communication and collaboration skills, with a focus on clarity, empathy, and shared ownership. • You embody our core values: we are hungry craftspeople, we have grit, we are honest, we take ownership, we have each other’s back no matter what, we’re one with our customers, and we find strength in diversity and inclusion.

🏖️ Benefits

• Highly competitive salary • 25 days annual vacation time + sick time and casual leave • Group medical policy coverage available to employees and up to 5 eligible family members • OPD benefit covered up to INR 10,000 • Life insurance and personal accident insurance at 3x annual CTC • 26 weeks of maternity leave pay, and 15 days of paternity leave pay • Opportunity to be part of company success via the RSU program • 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 • Employee referral bonuses to encourage the addition of great new people to the team • Fun company and team outings because we play just as hard as we work