Data Engineer Lead, RBQM

Atlas

$120K — $145K *
US-AnywhereRemote in Pennsylvania, US
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5-8 years of professional software development or data engineering experience.
  • Strong understanding of AWS architecture and cloud-native environments.
  • Hands-on experience with AWS services like S3, ECS, Lambda.
  • Experience configuring or integrating SaaS applications in an enterprise setting.
  • Thorough knowledge of databases, APIs, SSO, and data-transfer processes.
  • Skilled in application provisioning and onboarding practices.
  • Experience with unit, integration, and end-to-end testing methodologies.

Responsibilities

  • Support design and integration of applications in AWS.
  • Collaborate with vendors to onboard SaaS applications.
  • Configure databases, APIs, SSO, and data-transfer processes within AWS.
  • Manage application provisioning and deprovisioning.
  • Implement API-based integrations between applications.
  • Work hands-on with various AWS services like S3 and Lambda.
  • Coordinate development activities with Data Engineers and testers.

Benefits

  • Work with cutting-edge cloud technologies and applications.
  • Opportunity for technical leadership and cross-functional collaboration.
  • Exposure to a range of cloud security practices.
  • Involvement in integrating with third-party SaaS applications.
  • Chance to influence application design and performance.
Full Job Description
Position Overview

We are looking for an experienced Data Engineer Lead to support cloud-based applications and data integrations within an AWS environment. This individual will work closely with internal engineering teams, vendors, and testing teams to configure and integrate SaaS applications, establish secure data flows, and support application onboarding.

The ideal candidate will have approximately 5-8 years of software/data engineering experience with strong hands-on AWS knowledge, API integrations, databases, and cloud security concepts. This role also requires the ability to coordinate technical activities across engineers, vendors, and testers.

Key Responsibilities
  • Support the design, configuration, and integration of applications within an AWS cloud environment.
  • Work with third-party vendors to configure and onboard SaaS applications.
  • Configure and support databases, APIs, SSO, data products, and data-transfer processes within AWS.
  • Support application provisioning and deprovisioning processes.
  • Implement and support API-based integrations between applications and enterprise platforms.
  • Work hands-on with AWS services including S3, ECS, Lambda, ElastiCache, KMS, IAM, and Secrets Manager.
  • Coordinate with Data Engineers and testing teams throughout development and implementation.
  • Partner with testers to explain application functionality, expected behaviors, and appropriate test coverage.
  • Support unit, integration, and end-to-end testing practices within the engineering lifecycle.
  • Troubleshoot application, integration, and data-flow issues.
  • Apply cloud security and software engineering best practices.
  • Provide technical guidance and coordination to Data Engineers and testers.
  • Collaborate effectively with technical teams, vendors, and business stakeholders.

Required Qualifications
  • 5-8 years of professional software development, data engineering, or related technical experience.
  • Strong understanding of AWS architecture and cloud-native application environments.
  • Hands-on experience with AWS services such as S3, ECS, Lambda, ElastiCache, KMS, IAM, and Secrets Manager.
  • Experience configuring or integrating SaaS applications within an enterprise environment.
  • Strong understanding of databases, APIs, SSO, data transfers, and application integrations.
  • Experience with application provisioning/deprovisioning and onboarding.
  • Understanding of API-based integration patterns.
  • Experience with unit, integration, and end-to-end testing.
  • Understanding of TDD/BDD practices and testing frameworks.
  • Good understanding of cloud and application security best practices.
  • Strong troubleshooting and problem-solving skills.
  • Strong communication skills with the ability to work across engineering, vendor, and testing teams.
  • Ability to provide technical leadership and coordinate the work of Data Engineers and testers.

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