Software Engineer- Data Engineering (Staff/ Sr Staff)

7 months ago

Remote, Worldwide +2 moreSenior / Staff+

H1B Sponsor

Responsibilities

Design and implement long-term data architecture using modern technologies.
Build and maintain scalable ETL/ELT pipelines in Python, SQL, and dbt.
Develop and operate data pipelines using orchestration frameworks like Temporal and Dagster.
Design data models and schemas for cloud warehouses and relational databases.
Optimize workflows for performance and cost efficiency.
Drive large, cross-functional data initiatives from planning to execution.
Partner with AI and engineering teams to ensure high-quality datasets.
Collaborate with product managers and engineers to gather requirements.
Mentor other engineers in best practices for data ingestion and architecture.
Support the software testing cycle and resolve issues during QA.

Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field.
7+ years of progressive experience in data or software engineering.
Advanced programming skills in Python and SQL.
Experience building globally distributed data systems and real-time pipelines.
Hands-on with orchestration/stream processing tools like Temporal, Dagster, or Airflow.
Strong knowledge of relational and NoSQL databases.
Familiarity with data warehousing and cloud computing, preferably Databricks and AWS.
Experience mentoring engineers and providing architectural direction.
Strong analytical skills with the ability to work with unstructured datasets.
Commitment to data quality, testing, and observability.

Competitive base salary and comprehensive medical, dental, vision, and 401k package.
Opportunity to own a significant piece of the company via a meaningful equity grant.
Unlimited vacation and flexible work schedule.
Accelerated professional growth and development opportunities through mentorship.

Apache AirflowApache CassandraApache Kafka Apache Spark AWSDatabricksdbtElasticsearchMongoDBMySQLPostgreSQL Python SQL