✦ Luna Orbit — Data & Analytics

Sr. Data Engineer

at Adobe

📍 7 Locations Remote 💰 $139K – $257K USD / year Posted March 05, 2026
Salary $139K – $257K USD / year
Type Full-Time
Experience mid
Exp. Years 5+ years
Education Bachelor's in Computer Science or related field
Category Data & Analytics

This role involves designing and implementing scalable data pipelines and integrations for enterprise clients using AWS cloud services and open-source tools.

  • Collaborate with architects and engineering teams to capture requirements
  • Develop and improve data integrations
  • Build data pipelines for customer data sources
  • Ensure data quality and scalability
  • Support customer solutions

The technical environment includes AWS cloud platform, Python, PySpark, Apache Airflow, MongoDB, MySQL, Docker, and Kubernetes for building and maintaining data workflows.

The ideal candidate is a mid-level data engineer with 5+ years of experience in building scalable data integrations using AWS cloud services. They possess strong programming skills in Python and PySpark, and have hands-on experience with data pipeline tools like Apache Airflow.

AWSPythonPySparkApache AirflowMongoDBMySQLExperience in building data integrations5+ years experienceBS/MS degree in Computer Science or equivalent
DockerKubernetesWeb AnalyticsCustomer Data Platform (CDP)Data Management Platform (DMP)Adobe Experience Cloud
AWSAmazon Web ServicesApache AirflowMongoDBMySQLDockerKubernetes
AWSAmazon Web ServicesPythonPySparkApache AirflowMongoDBMySQLDockerKubernetesData PipelinesData IntegrationData Engineering
AWSAmazon Web ServicesPythonPySparkApache AirflowMongoDBMySQLDockerKubernetesData IntegrationData PipelinesData EngineeringData as a ServiceAWS Certified Data Engineer - AssociateAWS Certified Cloud Practitioner
CommunicationTeamworkProblem-solvingSelf-motivationCollaborationInnovative thinking

Required

AWS Certified Data Engineer - AssociateAWS Certified Cloud Practitioner
Industry SaaS, Digital Experience, Cloud Computing
Job Function Design and develop scalable data integration solutions using cloud and open-source tools
AWSAmazon Web ServicesPythonPySparkApache AirflowMongoDBMySQLDockerKubernetesData PipelinesData IntegrationData EngineeringAWS Certified Data Engineer - AssociateAWS Certified Cloud PractitionerData as a Service

Lack of AWS experience, Less than 5 years of relevant experience, No experience with data pipelines or integrations, No AWS certifications

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