Careers
Work with us.
We are looking for motivated individuals who have a desire to grow and improve. People who are always ready to learn, as well as to contribute.
If you share our values, it means you can also share a piece of your professional journey with us.
We are seeking a Staff Data Engineer to serve as both a technical leader and the core contributor by designing and building analytic data feeds for both our business partners and internal stakeholders.
The Data Engineering team at diennea powers the core of our data and analytics products. diennea’s product are based on natural language processing and serve tens of millions of end-users in real time. We need sophisticated metrics to monitor and continuously improve our systems.
What you’ll do
- Lead the team by providing the groundwork for our analytics architecture
- Review code for style and correctness across the entire team
- Write production-grade Redshift SQL queries
- Manage and maintain Airflow ETL jobs
- Test query logic against sample scenarios
- Work across teams to gather requirements and understand reporting needs
- Investigate metric discrepancies and data anomalies
- Debug and optimize queries for other business units
- Review schema changes across various engineering teams
- Maintain high-quality documentation for our metrics and data feeds
- Contribute to our data infrastructure platform and tooling
What you’ll need
- Expertise in at least one flavor of SQL. We use Amazon Redshift and MySQL.
- Proficiency in a high-level programming language, especially in terms of reading and comprehending other developers ‘ code and intentions.
- Deep technical knowledge of data exchange and serialization formats as Protobuf, YAML, JSON, and XML
- Familiarity with workflow management systems such as Apache Airflow or Oozie
What we’d like to see
- B.S.+ in computer science, mathematics, or statistics
- Previous experience in a data engineering, data architect, or data analyst role
- Experience with A/B testing, anomaly detection, or complex event processing
We are seeking a Staff Data Engineer to serve as both a technical leader and the core contributor by designing and building analytic data feeds for both our business partners and internal stakeholders.
The Data Engineering team at diennea powers the core of our data and analytics products. diennea’s product are based on natural language processing and serve tens of millions of end-users in real time. We need sophisticated metrics to monitor and continuously improve our systems.
What you’ll do
- Lead the team by providing the groundwork for our analytics architecture
- Review code for style and correctness across the entire team
- Write production-grade Redshift SQL queries
- Manage and maintain Airflow ETL jobs
- Test query logic against sample scenarios
- Work across teams to gather requirements and understand reporting needs
- Investigate metric discrepancies and data anomalies
- Debug and optimize queries for other business units
- Review schema changes across various engineering teams
- Maintain high-quality documentation for our metrics and data feeds
- Contribute to our data infrastructure platform and tooling
What you’ll need
- Expertise in at least one flavor of SQL. We use Amazon Redshift and MySQL.
- Proficiency in a high-level programming language, especially in terms of reading and comprehending other developers ‘ code and intentions.
- Deep technical knowledge of data exchange and serialization formats as Protobuf, YAML, JSON, and XML
- Familiarity with workflow management systems such as Apache Airflow or Oozie
What we’d like to see
- B.S.+ in computer science, mathematics, or statistics
- Previous experience in a data engineering, data architect, or data analyst role
- Experience with A/B testing, anomaly detection, or complex event processing
We are seeking a Staff Data Engineer to serve as both a technical leader and the core contributor by designing and building analytic data feeds for both our business partners and internal stakeholders.
The Data Engineering team at diennea powers the core of our data and analytics products. diennea’s product are based on natural language processing and serve tens of millions of end-users in real time. We need sophisticated metrics to monitor and continuously improve our systems.
What you’ll do
- Lead the team by providing the groundwork for our analytics architecture
- Review code for style and correctness across the entire team
- Write production-grade Redshift SQL queries
- Manage and maintain Airflow ETL jobs
- Test query logic against sample scenarios
- Work across teams to gather requirements and understand reporting needs
- Investigate metric discrepancies and data anomalies
- Debug and optimize queries for other business units
- Review schema changes across various engineering teams
- Maintain high-quality documentation for our metrics and data feeds
- Contribute to our data infrastructure platform and tooling
What you’ll need
- Expertise in at least one flavor of SQL. We use Amazon Redshift and MySQL.
- Proficiency in a high-level programming language, especially in terms of reading and comprehending other developers ‘ code and intentions.
- Deep technical knowledge of data exchange and serialization formats as Protobuf, YAML, JSON, and XML
- Familiarity with workflow management systems such as Apache Airflow or Oozie
What we’d like to see
- B.S.+ in computer science, mathematics, or statistics
- Previous experience in a data engineering, data architect, or data analyst role
- Experience with A/B testing, anomaly detection, or complex event processing
Invia la tua candidaturaWe are seeking a Staff Data Engineer to serve as both a technical leader and the core contributor by designing and building analytic data feeds for both our business partners and internal stakeholders. The Data Engineering team at diennea powers the core of our data and analytics products. diennea’s product are based on natural language processing and serve tens of millions of end-users in real time. We need sophisticated metrics to monitor and continuously improve our systems.
What you’ll do
- Lead the team by providing the groundwork for our analytics architecture
- Review code for style and correctness across the entire team
- Write production-grade Redshift SQL queries
- Manage and maintain Airflow ETL jobs
- Test query logic against sample scenarios
- Work across teams to gather requirements and understand reporting needs
- Investigate metric discrepancies and data anomalies
- Debug and optimize queries for other business units
- Review schema changes across various engineering teams
- Maintain high-quality documentation for our metrics and data feeds
- Contribute to our data infrastructure platform and tooling
What you’ll need
- Expertise in at least one flavor of SQL. We use Amazon Redshift and MySQL.
- Proficiency in a high-level programming language, especially in terms of reading and comprehending other developers ‘ code and intentions.
- Deep technical knowledge of data exchange and serialization formats as Protobuf, YAML, JSON, and XML
- Familiarity with workflow management systems such as Apache Airflow or Oozie
What we’d like to see
- B.S.+ in computer science, mathematics, or statistics
- Previous experience in a data engineering, data architect, or data analyst role
- Experience with A/B testing, anomaly detection, or complex event processing
Invia la tua candidaturaWe are seeking a Staff Data Engineer to serve as both a technical leader and the core contributor by designing and building analytic data feeds for both our business partners and internal stakeholders.
The Data Engineering team at diennea powers the core of our data and analytics products. diennea’s product are based on natural language processing and serve tens of millions of end-users in real time. We need sophisticated metrics to monitor and continuously improve our systems.
What you’ll do
- Lead the team by providing the groundwork for our analytics architecture
- Review code for style and correctness across the entire team
- Write production-grade Redshift SQL queries
- Manage and maintain Airflow ETL jobs
- Test query logic against sample scenarios
- Work across teams to gather requirements and understand reporting needs
- Investigate metric discrepancies and data anomalies
- Debug and optimize queries for other business units
- Review schema changes across various engineering teams
- Maintain high-quality documentation for our metrics and data feeds
- Contribute to our data infrastructure platform and tooling
What you’ll need
- Expertise in at least one flavor of SQL. We use Amazon Redshift and MySQL.
- Proficiency in a high-level programming language, especially in terms of reading and comprehending other developers ‘ code and intentions.
- Deep technical knowledge of data exchange and serialization formats as Protobuf, YAML, JSON, and XML
- Familiarity with workflow management systems such as Apache Airflow or Oozie
What we’d like to see
- B.S.+ in computer science, mathematics, or statistics
- Previous experience in a data engineering, data architect, or data analyst role
- Experience with A/B testing, anomaly detection, or complex event processing
Invia la tua candidaturaWe are seeking a Staff Data Engineer to serve as both a technical leader and the core contributor by designing and building analytic data feeds for both our business partners and internal stakeholders.
The Data Engineering team at diennea powers the core of our data and analytics products. diennea’s product are based on natural language processing and serve tens of millions of end-users in real time. We need sophisticated metrics to monitor and continuously improve our systems.
What you’ll do
- Lead the team by providing the groundwork for our analytics architecture
- Review code for style and correctness across the entire team
- Write production-grade Redshift SQL queries
- Manage and maintain Airflow ETL jobs
- Test query logic against sample scenarios
- Work across teams to gather requirements and understand reporting needs
- Investigate metric discrepancies and data anomalies
- Debug and optimize queries for other business units
- Review schema changes across various engineering teams
- Maintain high-quality documentation for our metrics and data feeds
- Contribute to our data infrastructure platform and tooling
What you’ll need
- Expertise in at least one flavor of SQL. We use Amazon Redshift and MySQL.
- Proficiency in a high-level programming language, especially in terms of reading and comprehending other developers ‘ code and intentions.
- Deep technical knowledge of data exchange and serialization formats as Protobuf, YAML, JSON, and XML
- Familiarity with workflow management systems such as Apache Airflow or Oozie
What we’d like to see
- B.S.+ in computer science, mathematics, or statistics
- Previous experience in a data engineering, data architect, or data analyst role
- Experience with A/B testing, anomaly detection, or complex event processing
Work with us
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