Senior Data Engineer
Core
Design, develop, and optimize modern data platforms, pipelines, and cloud-based analytics solutions for mission-critical workloads.
Role type
Senior IC data engineer (cloud & data platform) (via careerplan.io/jobs/43119-1-senior-data-engineer-at-guidehouse)
Builds
Scalable data ecosystems, ETL/ELT processes, and cloud-native data platforms
Domain
Cloud data engineering & analytics
Required skills
Python, SQL, Spark/PySpark, data pipeline design, ETL/ELT, cloud architecture, CI/CD, data modeling, database management
Preferred skills
Containerization (Docker, Kubernetes), Infrastructure-as-Code (Terraform, CloudFormation), observability tools, data lakehouse architectures, ML data pipelines
Technologies
AWS, Azure, Databricks, Snowflake, Git, GitHub, Jenkins, Azure DevOps, S3, Redshift, Lambda, ECS, Glue, SQS, Azure Data Factory, Synapse Analytics, Cosmos DB, Event Hub, CloudWatch, Splunk, Kibana, Datadog, Elasticsearch
Responsibilities
Design and maintain scalable data pipelines and ETL/ELT processes; Build and optimize data architectures across cloud and hybrid environments; Implement CI/CD pipelines and DevOps best practices; Lead data integration, migration, and modernization initiatives; Mentor junior data engineers; Contribute to technical architecture discussions and technology evaluations
Seniority
Senior, hands-on IC
