Remote Senior Data Engineer - Data Platform & DaaS

Transflo; United States; Remote; USD 140,000 - 190,000; Full time

Job summary

Transflo seeks a Senior Data Engineer to architect and own an enterprise data platform—from raw ingestion to analytics-ready products. You will drive the bronze–silver–gold medallion architecture that serves internal analytics, reporting, and Data as a Service capabilities.

You will work across diverse sources (APIs, relational and NoSQL databases, files, streaming) to model, normalize, and govern high-performance analytical assets while ensuring reliability, security, and scalability for a

Qualifications

• 5+ years of professional data engineering experience building data warehouses and pipelines.
• Experience with medallion architecture (bronze/silver/gold) for analytics-ready data products.

Responsibilities

• Architect, build, and evolve a scalable enterprise data warehouse on AWS Redshift.
• Design and implement bronze, silver, and gold data layer architecture (medallion).
• Develop dimensional models and SCDs to support BI and APIs.
• Apply data modeling best practices: schema design, indexing, and distribution keys.
• Build robust batch and streaming pipelines from REST APIs, DBs, and files.
• Enable real-time data delivery using Kinesis, MSK, or EventBridge.
• Orchestrate ETL/ELT with tools like dbt, Airflow, or Spark-based solutions.
• Ensure data quality, monitoring, and automated recovery across pipelines.
• Establish data governance: catalogs, lineage, metadata, access controls.

Skills

Data modeling

SQL proficiency

Python

ETL/ELT pipelines

Streaming data

AWS / Redshift

Data governance

DaaS / data products

Tools

dbt

Apache Airflow

Terraform

Kinesis

MSK

EventBridge

Job description

Transflo seeks a Senior Data Engineer to architect and own an enterprise data platform—from raw ingestion to analytics-ready products. You will drive the bronze–silver–gold medallion architecture that serves internal analytics, reporting, and Data as a Service capabilities.

You will work across diverse sources (APIs, relational and NoSQL databases, files, streaming) to model, normalize, and govern high-performance analytical assets while ensuring reliability, security, and scalability for a