Remote Senior Data Engineer

Varwise; Remote; PLN 120,000 - 150,000; Full time

Job summary

A leading Adtech company is seeking a Remote Senior Data Engineer to work on scalable data processing systems and maintain a data lake. The ideal candidate has 8+ years in software engineering focused on data engineering, proficiency in Scala and Python, and hands-on cloud experience. You will scale complex data applications, lead technical discussions, and work with tools like Spark and AWS to manage large data sets. Join a team that values technical excellence and innovative data solutions.

Qualifications

• 8+ years of professional software engineering experience with a focus on data engineering.
• 4+ years developing production-grade Scala systems, familiarity with Python.
• Hands-on experience with major cloud platforms like AWS, GCP, or Azure.

Responsibilities

• Maintain reliable and scalable distributed data processing systems.
• Become a core maintainer of the data lake.
• Scale and troubleshoot existing applications and services.

Skills

Spark

AWS

Scala

Python

TensorFlow

SQL

NoSQL

Databricks

Airflow

Kubernetes

Education

Bachelor’s degree in Computer Science or related discipline

Tools

Databricks

AWS

GCP

Azure

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 brands with programmatically selected households. The work includes scaling our Big Data asset that combines billions of transaction data points—including intent, conversions, and first‑party data—into an identity graph that must scale to a future cookie‑less world.

We value technical excellence and you will have both resources and time to deliver world‑class code.

This is a 100% remote position. You will be working with team members in NYC.

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.
• Ensure 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 other 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.

Tools & Technologies

• Spark, AWS, Linux, NoSQL, SQL, Kafka, Scala, Neo4j, Databricks, PySpark, LLM, GCP, Kinesis, Airflow, Jenkins, Python, TensorFlow, Parquet, Delta Lake