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Data Engineer

Hybrid in Tysons, VA, US • Posted 21 hours ago • Updated 21 hours ago

Full Time

No Travel Required

On-site

Depends on Experience

Fitment

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Job Details

Skills

DBT
Snowflake
Airflow

Summary

Title: Data Engineer – Cloud Data Pipelines
Location: Remote/ Tysons Corner, VA (Hybrid)
Employment Type: Full-Time

Overview:
We are seeking a Data Engineer experienced in building scalable, cloud-native data pipelines and data products. The ideal candidate has hands-on experience with AWS, Snowflake, Airflow, dbt, and streaming or batch ingestion tools. This engineer will be responsible for developing ingestion pipelines, transformation logic, and curated datasets used across the enterprise.

Responsibilities:

Build and maintain ingestion pipelines from multiple source systems (APIs, databases, streaming platforms).
Develop transformation logic using dbt to support curated data products.
Implement workflow orchestration using Apache Airflow.
Deploy and optimize Snowflake schemas, warehouses, and performance settings.
Collaborate with Data Analysts and Product Developers to translate requirements into scalable pipelines.
Ensure pipelines meet SLAs for latency, quality, and data availability.
Troubleshoot pipeline failures and perform root-cause analysis.
Work with DevSecOps to deploy pipelines via CI/CD in AWS.

Required Qualifications:

5+ years of Data Engineering experience
Strong experience with AWS data services (Lambda, S3, Glue, Step Functions, Kinesis, etc.)
Hands-on experience with Snowflake (warehouses, roles, integrations, performance tuning)
Proficiency with Airflow for scheduling/orchestration
Experience using dbt for transformations
Experience with SQL and Python
Experience integrating with APIs, SQL Server, Salesforce, or similar platforms

Preferred Qualifications:

Experience with Kafka or OpenFlow ingestion
Experience with Precisely or similar data catalog/data integrity tools
Experience in GovCloud environments
Familiarity with UDM or enterprise semantic models

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10522380
Position Id: 8960007
Posted 21 hours ago

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