Remote Senior Data Engineer

Varwise; Remote; PLN 253,000 - 338,000; Full time

Job summary

A leading Adtech company is seeking a Remote Senior Data Engineer to create and maintain scalable distributed data processing systems. The ideal candidate will have over 8 years of experience in software engineering, focusing on data engineering, and expertise in technologies such as Scala, Spark, and AWS. This role offers a fully remote workspace, an international team environment, and a flat organizational structure, making it an excellent opportunity for those who enjoy tackling complex technical challenges.

Benefits

Free coffee

Free snacks

In‑house trainings

No dress code

Qualifications

• 8+ years of professional software engineering experience.
• 4+ years of experience developing Scala-based systems.
• Proficiency using Spark or Tensorflow.

Responsibilities

• Create and maintain reliable distributed data processing systems.
• Maintain data lake by building searchable data sets.
• Scale and troubleshoot applications to ensure data pipelines run 24/7.

Skills

Data engineering in big data environments

Scala

Python

Spark (PySpark)

Databricks

Education

Bachelor’s degree in Computer Science or related discipline

Tools

AWS

Airflow

Tensorflow

Job description

Remote Senior Data Engineer @ Varwise

We are looking for Data Engineers to work remotely for an Adtech company that leverages machine learning and data science to build an identity graph that can scale to reach millions of users via programmatically selected households. The work includes scaling our Big Data asset that combines billions of transaction data points, including intent, conversions, first‑party data, into an identity graph that must scale in a future cookie‑less world. This is a 100% remote position. You will be working with team members in NYC. If you like solving hard and technically challenging problems, join us to use those skills to create real‑time, concurrent, globally distributed systems applications and services.

Responsibilities

• Work on creating and maintaining reliable and scalable distributed data processing systems.
• Become a core maintainer of the data lake.
• Maintain our data lake by building searchable data sets for broader business uses.
• Scale, troubleshoot and fix existing applications and services.
• Own a complex set of services and applications.
• Focus ensuring that our data pipelines run 24/7.
• Lead technical discussions leading to improvements in tools, processes or projects.
• Work on scaling our identity graph to deliver impactful advertising campaigns.
• Work on data sets exceeding billions of records.
• Work on AWS based infrastructure.
• Scale our MLOps platform by using both traditional ML as well as LLM/Generative AI based applications.

Qualifications

• 8+ years of professional software engineering experience, with a focus on data engineering in big data environments.4+ years of experience in developing and delivering production-grade Scala based systems, familiarity with Python, and at least one high-level programming language (e.g., Java, C++, C#).
• Proficiency in all aspects of SDLC, from concept to running production systems.
• Proficiency using Spark (PySpark) or Tensorflow.
• Proven experience building and optimizing large‑scale data pipelines using Databricks and Spark.
• Experience participating in ETL and ML pipeline projects based on Airflow, Kubeflow, Mleap, Sagemaker or similar.
• Hands‑on experience developing and deploying data solutions in a major cloud platform (AWS, GCP, or Azure).
• Experience working with AI, LLMs, Agents, and/or Generative AI technologies, both in product applications and for development productivity.
• Database experience at large scale, both SQL and NoSQL databases like Postgresql, Cassandra, Neo4j, Neptune, or similar.
• Experience in large scale data management formats and frameworks such as Parquet, ORC, Databricks / Delta Lake, Iceberg or Hudi.
• Bachelor’s degree in Computer Science or related discipline.

Benefits

• Small teams
• International projects
• Team events
• 100% Remote
• International team
• Flat structure
• Free coffee
• Bike parking
• Playroom
• Free snacks
• Free beverages
• Modern office
• No dress code
• In‑house trainings

Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, disability, veteran status, or any other protected characteristic in accordance with applicable law.