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.

7+ years of Data Engineering experience.
Support strategic planning by working with Executives and Senior Managers, Principle 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 languages (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

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

Senior Data Engineer, Python, Snowflake, DBT

Key skills