AWS Databricks Developer Junior

Posted Yesterday
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College Park, MD, USA
Hybrid
Junior
Security
The Role
Build and maintain AWS-based batch and incremental data pipelines using Databricks, PySpark, Spark SQL, and Delta Lake. Develop Bronze, Silver, and Gold data layers; ingest data from databases, APIs, and files; enforce data quality; optimize Spark jobs; publish curated datasets to Redshift; and orchestrate production workflows with Databricks Workflows, Airflow, and AWS monitoring services.
Summary Generated by Built In

Position Overview

We are seeking a Junior AWS Databricks Data Engineer to build and maintain scalable data pipelines on AWS. This role will turn data from databases, APIs, and files into reliable datasets for analytics and business reporting.

 

Responsibilities:

  • Develop batch and incremental ETL/ELT pipelines using Databricks, PySpark, Spark SQL, and Delta Lake.

  • Build and maintain Bronze, Silver, and Gold data layers using Medallion Architecture.

  • Ingest and transform structured and semi-structured data from sources such as Oracle, SQL Server, REST APIs, and Amazon S3.

  • Implement data quality checks, including schema validation, deduplication, reconciliation, and business rule enforcement.

  • Optimize Spark jobs and Delta tables to improve processing time and control cloud resource use.

  • Publish curated datasets to Amazon Redshift and support reporting in Power BI, Tableau, or Amazon QuickSight.

  • Orchestrate, monitor, and troubleshoot production pipelines using Databricks Workflows, Apache Airflow, and AWS monitoring services.

  • Collaborate with analysts, architects, QA, and DevOps teams on requirements, releases, and production support.

Qualifications

Required Qualifications:

  • 5+ years of overall technology experience.

  • 3+ years of AWS engineering experience.

  • Strong Python and SQL skills, with hands-on experience in PySpark, Databricks, and Delta Lake.

  • Experience building data pipelines on AWS, particularly with Amazon S3, AWS Glue, and Amazon Redshift.

  • Knowledge of incremental loading, dimensional data modeling, data quality practices, and Spark performance tuning.

  • Experience with Git, CI/CD workflows, and Agile delivery.

 

Preferred Qualifications:

  • Experience with Databricks Auto Loader, Unity Catalog, and AWS Glue Data Catalog.

  • Experience supporting manufacturing, supply chain, quality, or operational analytics.

  • Databricks Certified Data Engineer Associate and AWS Certified Data Engineer Associate certification.

About UsSAIC® is a premier mission integrator focused on advancing the power of technology and innovation to serve and protect our world. Our robust portfolio of offerings across the defense, space, intelligence, and civilian markets includes secure high-end solutions in mission IT, enterprise IT, engineering services, and professional services. We integrate emerging technology, rapidly and securely, into mission critical operations that modernize and enable critical national imperatives.

We are approximately 23,000 strong; driven by mission, united by purpose, and inspired by opportunities. SAIC is an Equal Opportunity Employer. Headquartered in Reston, Virginia, SAIC has annual revenues of approximately $7.3 billion. For more information, visit saic.com. For ongoing news, please visit our newsroom.

Skills Required

  • 5+ years of overall technology experience
  • 3+ years of AWS engineering experience
  • Strong Python and SQL skills
  • Hands-on experience with PySpark, Databricks, and Delta Lake
  • Experience building AWS data pipelines using Amazon S3, AWS Glue, and Amazon Redshift
  • Knowledge of incremental loading, dimensional data modeling, data quality practices, and Spark performance tuning
  • Experience with Git, CI/CD workflows, and Agile delivery
  • Experience with Databricks Auto Loader, Unity Catalog, and AWS Glue Data Catalog
  • Experience supporting manufacturing, supply chain, quality, or operational analytics
  • Databricks Certified Data Engineer Associate certification
  • AWS Certified Data Engineer Associate certification
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The Company
HQ: Stamford, CT
34,000 Employees

What We Do

Spectrum San Diego is a high tech security innovator, specializing in ultra-low-dose X-ray screening systems.

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