Senior Data Infrastructure Engineer
New
H
Horizon3Cybersecurity
US, RemoteFull-TimeSenior
Salary$202,190 - $237,870 annually
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Job Details
- Experience
- 7+ years
- Required Skills
- PythonSQLApache AirflowTableauSparkData modelingDatabricks
Requirements
- 7+ years of professional experience in data engineering, infrastructure engineering, or backend software engineering.
- Strong software engineering craft: clean, correct, maintainable code with solid data-structure and problem-solving fundamentals.
- Deep understanding of distributed systems and data architecture: pipeline and platform design, batch vs. streaming, CDC, event contracts, multi-tenant and multi-region trade-offs, reprocessing, and observability.
- Fluent SQL and strong data-modeling skills.
- Experience owning production data infrastructure end to end.
- Experience with AWS data stack, including Glue and Spark.
- Experience with cloud data warehouse or lakehouse platforms such as Amazon Redshift or Databricks.
- Experience with Tableau or a comparable BI platform.
- Experience with Python.
- Experience with workflow orchestration tooling such as Apache Airflow or Dagster.
- Bachelor’s degree in Computer Science or a related field, or equivalent practical experience.
Responsibilities
- Design, build, and maintain business-critical data pipelines, including data ingestion and AWS Glue/Spark jobs.
- Build and operate core data infrastructure: the data warehouse, orchestration, and BI/reporting platform.
- Evaluate and shape warehouse strategy, including lakehouse platforms such as Databricks.
- Define and evolve event-driven contracts between producer and consumer teams.
- Design and evolve warehouse schemas and data models.
- Build observability into pipelines and platform components.
- Drive work across producer and consumer teams and own outcomes end to end.
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