Data Engineer
Hybrid
Full Time
#Engineering
#Data Management
#Machine Learning
#Data Ingestion
#AWS
#GCP
#ETL
#Data Storage
#Python
#Scala
#Java
#Airflow
#S3
We are looking for a Senior Data Engineer to join our team on a full time basis. As the global data management software market continues to grow toward a projected $137.6 billion by 2026, we are dedicated to making a meaningful impact in this space. You will serve as a foundational member of our Machine Learning and Data Platform team, helping us build the infrastructure that powers our future. This role is based in the United States and offers a hybrid work environment.
Responsibilities
- Design and implement scalable ETL pipelines to support our growing data needs.
- Manage the end-to-end lifecycle of production-grade data solutions using AWS or GCP.
- Oversee the architecture of data storage, security protocols, and internal data sharing practices.
Requirements
We are looking for candidates who possess a blend of technical expertise and a proactive, problem-solving mindset. You should have at least 4 years of professional experience within SaaS or Enterprise environments.
- Proficiency in programming languages including Python, Scala, and Java.
- Hands-on experience with data ingestion, connectors, and batch transformation routines.
- Strong familiarity with AWS services such as S3, Kinesis, EMR, Lambda, Athena, Glue, IAM, and RDS.
- Experience using orchestration tools like Airflow, Temporal, or Luigi.
- The ability to communicate complex data concepts clearly to both technical teams and senior business stakeholders.
- Bonus points if you have experience with Spark, Hive, Kubernetes, Terraform, or Databricks.
What we offer
We believe in fostering a flexible work culture, which is why we provide a hybrid work arrangement for all our team members. We are an equal opportunity employer and we are committed to building a diverse and inclusive workplace for everyone.
