Attentive® is the world’s #1 conversational marketing platform, reinventing business to consumer communication. Our SMS-first software platform helps everyone from entrepreneurs to enterprises strengthen relationships with their consumers in a new way. Through two-way, real-time, personalized communications, we drive billions in e-commerce revenue and over 8,000 leading brands like CB2, Pura Vida, GUESS and Urban Outfitters rely on Attentive to deliver powerful commerce experiences.

Attentive’s growth has been recognized by Deloitte’s Fast 500, Linkedin’s Top Startups and Forbes Cloud 100 all thanks to the hard work from our global employees!

• Provide a streaming platform as a service to make communication simple to use and highly scalable utilizing distributed systems and data flows.
• Utilize core stream processing engine, self-service tooling to support hundreds of data streams, highly configurable and tunable dataflows.
• Design and build a self-service event platform using state-of-the-art technology.
• Lead the burgeoning Event Platform engineering team, which provides a streaming platform as a service to make that communication simple to use and highly scalable.
• Establish best practices and standards for managing high volume multi-region streams.
• Build automation for ingestion of a myriad of data sources.
• Work closely with engineering teams, enabling them to build new features using our self-service event platform.
• Use strong communication skills (written and verbal) to negotiate and work with Product Management to meet the user's needs while maintaining quality.
• Take proactive steps to protect against regressions through a variety of testing techniques.
• Contribute to the team's high-end projects through the use of Java and Python microservices, DynamoDB, Kinesis, Pulsar, Flink, Airflow, MySQL, Postgres, and Redis.
• Iteratively deliver customer value through rapid prototyping and data-driven decision making.
• Improve the quality of the project, both via code contributions as well as long-term advocacy for largerscale changes.  Identify ways to automate and measure stream reliability, efficiency, and quality.

MINIMUM REQUIREMENTS:

• Bachelor’s degree or U.S. equivalent in Computer Engineering, Computer Science, Mechanical Engineering, or related field plus 4 years of professional experience performing data engineering including designing, developing, and maintaining high through-put and low-latency ETL pipelines at scale and automating ingestion at scale from multiple data sources.

Must also have experience with the following special skills:

• 4 years of professional experience using programming languages (including Java and Python)
• 4 years of professional experience working with open-source, distributed processing systems (including Spark, Flink, or Beam)
• 4 years of professional experience utilizing Big Data tools (including Kafka, Pulsar, Amazon EMR, Druid, Trino, or Presto)
• 4 years of professional experience working with distributed systems, data flows, data modeling, data access, data storage formats (Protobuf, Avro, Parquet, or Iceberg) and techniques
• 4 years of professional experience implementing event-based applications and pipelines in the public cloud.

- The standard base salary range for this position is $173,200 - $259,800 annually.

Default to Action - Move swiftly and with purpose

Be One Unstoppable Team - Rally as each other’s champions

Champion the Customer - Our success is defined by our customers' success

Act Like an Owner - Take responsibility for Attentive’s success

Learn more about AWAKE, Attentive’s collective of employee resource groups.

If you do not meet all the requirements listed here, we still encourage you to apply! No job description is perfect, and we may also have another opportunity that closely matches your skills and experience.

At Attentive, we know that our Company's strength lies in the diversity of our employees. Attentive is an Equal Opportunity Employer and we welcome applicants from all backgrounds. Our policy is to provide equal employment opportunities for all employees, applicants and covered individuals regardless of protected characteristics. We prioritize and maintain a fair, inclusive and equitable workplace free from discrimination, harassment, and retaliation.