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Data Engineer

Award-winning search intelligence platform powered by patented AI technology, helping brands optimize paid search market intelligence since 2012.
Data
Mid-Level Software Engineer
Remote
3+ years of experience
AI · Enterprise SaaS

Description For Data Engineer

Adthena, an award-winning search intelligence platform, is seeking a Data Engineer to join their technology team. This role offers an exciting opportunity to work with cutting-edge AI technology and big data systems, processing hundreds of millions of data points daily. The position combines the stability of an established company with the dynamic environment of a scaling tech organization.

As a Data Engineer, you'll be integral to shaping the future architecture of complex data systems, working with distributed technologies and implementing best practices. You'll collaborate with Web and Data Science teams, using modern tools including Gen AI assistants to accelerate development and improve quality. The role involves working with various technologies including Spark, Scala, Java, and cloud platforms.

The company culture is strongly focused on engineering excellence, knowledge sharing, and continuous learning. With a 93% approval rating for company culture and an impressive track record of industry awards, Adthena offers a supportive and growth-oriented environment. The position provides comprehensive benefits including stock options, flexible work arrangements, and strong family-friendly policies.

This is an ideal opportunity for someone passionate about data engineering who wants to make a significant impact in the search intelligence space. The role offers the perfect balance of technical challenge and professional growth, backed by a company that values both innovation and work-life balance. Working at Adthena means joining a team that's redefining search intelligence while maintaining a strong focus on employee satisfaction and professional development.

Last updated 7 hours ago

Responsibilities For Data Engineer

  • Build and maintain services/features/libraries that serve as definitive examples for new engineers
  • Design and write effective, complex Spark jobs (data processes, aggregations, pipeline)
  • Design and write complex asynchronous, highly parallel, low-latency APIs and processes
  • Work with Agile team to maintain, improve, and monitor data collection processes
  • Design and implement databases for relational and non-relational storage technologies
  • Support Data Science team to help deliver machine learning models into production environments

Requirements For Data Engineer

Scala
Java
Python
PostgreSQL
Cassandra
Kafka
RabbitMQ
  • Bachelor's degree in Computer Science or equivalent practical experience
  • Commercial experience developing Spark Jobs using Scala
  • Commercial experience using Java and Scala (Python nice to have)
  • Experience in data processing using traditional and distributed systems (Hadoop, Spark, AWS - S3)
  • Experience designing data models and data warehouses
  • Strong understanding of data structures and algorithms
  • Experience in SQL, NoSQL database management systems (PostgreSQL and Cassandra)
  • Commercial experience using messaging technologies (RabbitMQ, Kafka)
  • Experience using orchestration software (Chef, Puppet, Ansible, Salt)
  • Good knowledge of working with cloud technologies (AWS, GCP)

Benefits For Data Engineer

Equity
Medical Insurance
Parental Leave
  • Stock Options
  • Unlimited vacation policy
  • Remote-first work environment
  • Flexible work arrangements
  • Career development via Sherpa plans
  • Monthly Hackdays & Training Days
  • 6 months paid maternity leave
  • 2 months paternity leave
  • $200 home office stipend
  • $70 welcome gift credit
  • Birthday day off
  • Regular social events
  • Volunteer days

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