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Data Engineer

  • Data Engineer job type Posted on: Oct 11, 2026
  • Data Engineer experience level Galent
  • Data Engineer employment type Washington, District of Columbia
  • Data Engineer employment type Onsite
  • Data Engineer salary Full-time

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Job Title :

Data Engineer

Job Type :

Full-Time

Job Location :

Washington District of Columbia United States

Remote :

No

Jobcon Logo Job Description :

Job Title: Data EngineerLocation: Washington, DC (Onsite Job)Employment Type: ContractMust-Haves2+ years of hands-on Data Engineering experienceExperience delivering multiple production-grade cloud data platform implementationsAdvanced Python, SQL, and Spark/PySpark with some exposure to Databricks.Strong knowledge of ETL/ELT, data modeling, CDC, streaming, governance, and performance optimizationExperience with Git, CI/CD, automated testing, and deployment strategiesExperience contributing to solution design and architectural decisionsExperience leading technical implementation activities and/or mentoring engineersAt least one Associate-level or higher AWS, Azure, or GCP certificationPreferred QualificationsExperience with Delta Lake and Lakehouse architectures.Experience with Snowflake, Amazon Redshift, Azure Synapse Analytics, or Google BigQuery.Exposure to Docker and Kubernetes.Familiarity with Terraform and Infrastructure as Code (IaC) practices.We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, citizenship status, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable law.

Jobcon Logo Position Details

Posted:

Oct 11, 2026

Reference Number:

10440_4471212020

Employment:

Full-time

City:

Washington

Job Origin:

APPCAST_CPC

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Job Title: Data EngineerLocation: Washington, DC (Onsite Job)Employment Type: ContractMust-Haves2+ years of hands-on Data Engineering experienceExperience delivering multiple production-grade cloud data platform implementationsAdvanced Python, SQL, and Spark/PySpark with some exposure to Databricks.Strong knowledge of ETL/ELT, data modeling, CDC, streaming, governance, and performance optimizationExperience with Git, CI/CD, automated testing, and deployment strategiesExperience contributing to solution design and architectural decisionsExperience leading technical implementation activities and/or mentoring engineersAt least one Associate-level or higher AWS, Azure, or GCP certificationPreferred QualificationsExperience with Delta Lake and Lakehouse architectures.Experience with Snowflake, Amazon Redshift, Azure Synapse Analytics, or Google BigQuery.Exposure to Docker and Kubernetes.Familiarity with Terraform and Infrastructure as Code (IaC) practices.We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, citizenship status, age, disability, genetic information, protected veteran status, or any other characteristic protected by applicable law.

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