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Data Engineer

Data Engineer

Dunhill Professional SearchAtlanta, GA, US
8 hours ago
Job type
  • Full-time
Job description

Data Engineer

Remote Opportunity

Top Secret Clearance Required

We are looking for a cleared Data Engineer Join our client, a technology company and part of global Accenture, to do work that matters in a collaborative and caring community, where you feel like you belong and are empowered to grow, learn and thrive through hands-on experience, certifications, industry training and more.

Join us to drive positive, lasting change that moves missions and the government forward!

The work :

  • Pipeline Architect : Design, build, and maintain scalable end-to-end data pipelines using Databricks, Spark, and related technologies.
  • Transformation Titan : Develop efficient data processing and transformation workflows to support analytics and reporting needs.
  • Integration Hero : Integrate diverse data sources including APIs, databases, and cloud storage into unified datasets.
  • Collaboration Champion : Work closely with cross-functional teams (data science, analytics, business units) to design and implement data solutions that align with business goals.
  • Quality Guardian : Implement robust validation, monitoring, and observability processes to ensure data accuracy, completeness, and reliability.
  • Automation Avenger : Contribute to data governance, security, and automation initiatives within the data ecosystem.
  • Cloud Commander : Leverage AWS services (e.g., S3, Glue, Lambda, Redshift) to build and deploy data solutions in a cloud-native environment.

Here’s what you need :

  • Experience with cloud-based ETL services (e.g. AWS Glue, Google Cloud Dataflow, Azure Data Factory)
  • Experience with Cloud data warehousing technologies (e.g. Amazon Redshift, Google BigQuery, Snowflake)
  • Experience with Python, SQL, Spark, and PySpark
  • Experience with data platforms like Databricks, Palantir, and Snowflake
  • Familiarity with data orchestration and data quality processes
  • Bonus points if you have :

  • Experience working with federal clients
  • Experience with Docker / Kubernetes Hadoop / Spark, NiFi, ELK stack
  • Experience with Agile / Scrum
  • Experience with COTS and open-source data engineering tools such as ElasticSearch and NiFi
  • Data engineering certification such as Palantir Foundry Data Engineer, Azure Data Engineer Associate, Google Professional Data Engineer, IBM Certified Data Engineer, or similar
  • Security Clearance :

  • Active Top Secret or TS / SCI or TS / SCI with polygraph clearance
  • #cjpost

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