TL;DR

Software Engineer, Data (Data Analytics Engineering): Building and optimizing critical analytics infrastructure to derive insights and empower teams across the organization with an accent on data quality, resiliency, and performance. Focus on designing, building, and maintaining large-scale distributed ETL pipelines and self-serve data exploration tools.

Location: Hybrid role requiring in-office collaboration three days per week in Palo Alto, CA, Dallas, TX, or Los Angeles, CA

Salary: $170,000–$185,000 a year

Company

%hirify_global% revolutionized how people meet, growing rapidly to serve approximately 50 million users per month across 190 countries and 45+ languages.

What you will do

Improve trust in our data by championing for data quality across the organization
Influence and help build the next generation Analytics Platform at %hirify_global%
Improve the resiliency and performance of our existing platform
Empower colleagues by building and supporting self-serve tools for data exploration and analysis
Collaborate and build strong partnerships with Product, AI/ML, Data Science, Marketing, Finance
Mentor junior members of the team

Requirements

Significant industry experience in data engineering and software development with strong knowledge of data warehousing and data modeling
Expertise in large-scale distributed data processing platforms (e.g., Databricks or Apache Spark)
Advanced proficiency in SQL for complex querying, data manipulation, and performance optimization
Strong coding skills in Python (preferably 3.x) for data analysis and backend services
Experience designing, building, and maintaining ETL pipelines using orchestration tools like Apache Airflow or Dagster

Nice to have

Experience with Mode, Tableau or other Data Visualization Tools
Experience with Scala
Experience with Kafka/MSK

Culture & Benefits

Unlimited PTO and 10 annual Wellness Days
100% 401(k) employer match up to 10% and Employee Stock Purchase Plan (ESPP)
100% paid parental leave and family forming benefits
Annual $3,000 stipend for professional development and mentorship programs
Comprehensive health, vision, and dental coverage
Access to mental health support, pet insurance, and fitness/commuter subsidies