Data Engineer

Wrike; New York (NY); Hybrid; USD 90,000 - 130,000; Full time

Benefits offered by this job

Hybrid work model

Collaborative culture

Creative thinking and ownership

Job summary

A cutting-edge technology firm based in New York is seeking a Data Engineer to join their team. The role requires someone to architect and build data pipelines, manage data quality and governance, and develop solutions to protect sensitive information. The ideal candidate will have strong SQL and Python skills, along with experience in data warehousing. This position offers a hybrid work model with 2–3 in-office days weekly, promoting a collaborative and innovative workplace culture.

Qualifications

• Good level of written and verbal English.
• Work experience building & maintaining data pipelines.
• Strong communication and analytical skills.
• Solid understanding of SQL.
• Experience with Python, for Data transformation pipelines.
• Hands‑on experience with Data Warehousing platforms.
• Familiarity with data pipeline orchestration tools.

Responsibilities

• Architect and build advanced streaming and batch data pipelines.
• Create and oversee robust data warehouse components.
• Design frameworks for data validation and monitoring.
• Manage data catalogs and data lineage.
• Develop solutions for protecting PII and sensitive information.

Skills

SQL

Python

Data pipeline orchestration tools

Data governance

Data warehousing platforms

Communication skills

Analytical skills

Tools

BigQuery

Redshift

Snowflake

Airflow

Kubernetes

Job description

Wrike is the most powerful work management platform. Built for teams and organizations looking to collaborate, create, and exceed every day, Wrike brings everyone and all work into a single place to remove complexity, increase productivity, and free people up to focus on their most purposeful work.

Our vision: A world where everyone is free to focus on their most purposeful work, together.

Ready to become a Wriker? We're looking for an enthusiastic Data Engineer to organize reliable and scalable infrastructure, and help in designing and maintaining clean data sources for analysis of business purposes. In this role, you will be responsible for conceptualizing, architecting, and constructing data pipelines and services, while helping to enhance our data platform as a key driver of business decision‑making across Wrike. Based on your experience and interests you may work on organizing data warehousing, integrating SaaS applications, developing tools, or implementing practical AI solutions. We encourage candidates with a wide range of interests and are happy to support you in expanding your expertise into new areas.

Job Scope and Accountabilities

• Pipelines / ETL – architecting and building advanced streaming and batch data pipelines
• DWH – creating, developing, and overseeing robust data warehouse components
• Data Quality – designing and implementing frameworks for validation, monitoring, and alerting
• Data Governance – managing data catalogs and data lineage for development and operations
• Data Protection – researching, developing, and deploying solutions and techniques to enhance the protection of PII and sensitive information

Experience Requirements

• Good level of written and verbal English
• Work experience building & maintaining data pipelines on data‑heavy environments (Data Engineering, Backend with emphasis on data processing, Data Science with emphasis on infrastructure)
• Strong communication and analytical skills
• Solid understanding of SQL
• Experience with Python (Data transformation pipelines, API & database integrations)
• Hands‑on experience with Data Warehousing platforms (BigQuery, Redshift, Snowflake, Vertica or similar)
• Familiarity with data pipeline orchestration tools (Airflow, Dagster, Prefect, or similar)
• Understanding of CI/CD and containerization

You Will Stand Out With

• Good understanding of Database architecture & Data modelling experience
• Development, testing, deployment, and assurance of the reliability of data‑intensive applications
• Familiarity with Data Streaming and CDC (Pub/Sub, DataFlow, Kafka, Flink, Spark Streaming or similar)
• Understanding of Kubernetes
• Experience with major B2B vendor integrations (Salesforce/CPQ, NetSuite, Marketo, etc.)
• Experience with Data Quality Tools, Monitoring and Alerting

Perks of Working at Wrike

We offer a hybrid work model with 2–3 in‑office days per week in hubs located in San Diego, Prague, Dublin, Nicosia, and Tallinn, and a culture that values collaboration, creative thinking, ownership and customer focus.

How to Apply

Interested in this position? Please submit your resume and cover letter through the application portal.