Lead AWS Data Engineer

Triunity Software, Inc.; Los Angeles (CA); Presencial; USD 165.000 - 248.000; Jornada completa

Descripción de la vacante

Triunity Software, Inc. is seeking an AWS Data Engineer (Contract) for an onsite role in Beverly Hills, CA. The ideal candidate will lead cloud data warehouse initiatives, own data models, optimize performance, and manage costs in production environments.

The position requires 7+ years of data engineering experience, strong Python, Airflow expertise, and deep knowledge of data ingestion pipelines, streaming/batch transformations, and governance tooling. Travel may be required.

Formación

• 7+ years of data engineering experience with cloud data warehouses/lacelike architectures.
• Proficient in Python and SQL with advanced querying.
• Experience with Airflow for DAG orchestration and monitoring.
• Experience with data ingestion: Fivetran, Airbyte, AWS DMS, Kafka/Kinesis.
• Hands-on with Spark for large-scale transformations.
• Knowledge of data governance, quality and observability tools.

Herramientas

Amazon Redshift

Databricks

Python

Apache Airflow

Fivetran

Airbyte

AWS DMS

Kafka/Kinesis

Spark (PySpark/Spark SQL)

SQL (advanced)

Snowflake/Delta Lake

Descripción del empleo

AWS Data Engineer (Contract) | Beverly Hills, CA (Onsite)

Must-Have Experience

Candidates should demonstrate 7+ years of data engineering experience with depth in:

Cloud data warehouse / lakehouse — Amazon Redshift or Databricks. Real production ownership: modeling, performance tuning, cost management, workload isolation.

Python

Apache Airflow — authoring and operating DAGs at scale; dependency management, retries, SLAs, observability.

Data movement / ingestion tooling — e.g. Fivetran, Airbyte, AWS DMS, Kafka/Kinesis, or custom CDC and API ingestion frameworks.

travel.

Apache Spark — PySpark or Spark SQL for large-scale batch/streaming transformation.

SQL — advanced, including window functions and query optimization.

Data Governance &

Data quality & observability tooling (Great Expectations, Monte Carlo, Elementary)

Nice-to-Have

Infrastructure-as-code (Terraform), Docker, CI/CD (GitHub Actions