Senior Data Engineer: AWS Data Pipelines & Observability

Reach; United States; Remote; USD 120,000 - 150,000; Full time

Benefits offered by this job

25 days holiday

Pension matching

Healthcare cash plan

Bonus scheme

Wellbeing support

Job summary

Reach is seeking a skilled data engineer to build and maintain Python data ingestion pipelines using AWS services such as Athena, Glue, Lambda, and Redshift. You will provision infrastructure with IaC, embed observability, and champion data quality and testing standards.

We offer 25 days of holiday plus bank holidays, with loyalty days and the option to buy more, plus pension matching up to 6%, a healthcare cash plan, a bonus scheme, and wellbeing support.

Qualifications

• Experience building and maintaining data ingestion pipelines.
• Strong understanding of cloud data services and ETL concepts.
• Familiarity with testing standards and data quality practices.

Responsibilities

• Build and maintain Python data ingestion pipelines using AWS services (Athena, Glue, Lambda, Redshift).
• Propel observability, data quality, and testing standards across the data team.

Skills

Python

Data pipelines

Observability

Testing

IaC

Tools

Athena

Glue

Lambda

Redshift

Job description

Reach is seeking a skilled data engineer to build and maintain Python data ingestion pipelines using AWS services such as Athena, Glue, Lambda, and Redshift. You will provision infrastructure with IaC, embed observability, and champion data quality and testing standards.

We offer 25 days of holiday plus bank holidays, with loyalty days and the option to buy more, plus pension matching up to 6%, a healthcare cash plan, a bonus scheme, and wellbeing support.