Goods & Services
Life Sciences, Financial Services
SeniorDataEngineer&Cloud(AWS)
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Data Engineer & Cloud (AWS) at Goods & Services. Skills: Data Engineering, AWS Data Stack, Data Pipelines, Data Warehousing. Design scalable data pipelines. Develop scalable data pipelines”
Industry & Context.
What They're Looking For.
Must Have
5+ years of experience in data engineering, 5+ years of experience in data platform, 5+ years of experience in cloud data engineering, Hands-on expertise with AWS Glue, Hands-on expertise with Redshift, Hands-on expertise with Athena, Hands-on expertise with S3, Hands-on expertise with Glue Data Catalog, Hands-on expertise with Lake Formation, Hands-on expertise with IAM, Production experience with Apache Airflow, Experience building data warehouse solutions, Experience building business-facing analytics models, Experience using dbt, Experience using Spark, Experience using SQL, Python skills for building ETL/ELT pipelines, Python skills for automation tooling
Nice to Have
Familiarity with CI/CD tooling, Familiarity with Jenkins, Familiarity with GitHub Actions, Familiarity with CodeBuild, Basic familiarity with Lambda, Basic familiarity with EventBridge, Basic familiarity with SQS, Experience building REST APIs, Experience with FastAPI, Experience with Flask, AWS Certifications
What You'll Do.
Design scalable data pipelines
Develop scalable data pipelines
Maintain scalable data pipelines
Design ETL/ELT processes
Develop ETL/ELT processes
Maintain ETL/ELT processes
Manage data platforms
Optimize data platforms
Implement workflows with Apache Airflow
Orchestrate workflows with Apache Airflow
Build data warehouse solutions
Build business-facing analytical models
Optimize data warehouse solutions
Optimize business-facing analytical models
Collaborate with cross-functional teams
Deliver secure data solutions
Deliver scalable data solutions
Deliver highly available data solutions
Support CI/CD pipelines
Support deployment automation
Architect lakehouse storage layers
Maintain lakehouse storage layers
Manage AWS Glue Data Catalog
Manage Lake Formation permissions
How You'll Work.
Team & Collaboration
Cross-functional teams; Analytics engineers; Data scientists; Application developers
Full Job Description
About Goods & Services Goods & Services is a product design and engineering company. We solve mission-critical challenges for some of the world’s largest enterprises, with deep expertise in highly regulated industries—including life sciences and financial services. Our design-led approach allows us to apply cutting-edge capabilities in AI, Data and Hardware Engineering to companies of any size. Headquartered in the United States, we operate regional development centers in Mexico and the United Kingdom. This global footprint—anchored by our nearshore model—enables us to deliver at scale with the speed, efficiency, and cultural alignment our clients expect. About the job Goods & Services is looking for a Senior Data Platform Specialist / Cloud Data Engineer to design, build, and maintain scalable data pipelines and AWS data platform services. This role is focused on our AWS data stack, including AWS Glue, Redshift, Apache Airflow, and Apache Iceberg on S3, rather than general-purpose DevOps or cloud infrastructure ownership. This is a hands-on role where you will work closely with analytics engineers, data scientists, and application developers to deliver reliable, cost-efficient data solutions, business-facing data models, and strong FinOps discipline. What you’ll do: Design, develop, and maintain scalable data pipelines and ETL/ELT processes across AWS cloud environments. Manage and optimize data platforms using services such as AWS Glue, Redshift, Athena, S3, Glue Data Catalog, Lake Formation, and IAM. Implement and orchestrate workflows with Apache Airflow for large-scale data processing and analytics. Build and optimize data warehouse solutions and business-facing analytical models using dbt, Spark, and SQL. Collaborate with cross-functional teams to deliver secure, scalable, and highly available data solutions. Support CI/CD pipelines and deployment automation for data platform workflows, especially with CodeBuild, Jenkins, and GitHub Actions. Architect and main
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