Data Engineer

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 Big Query, Snowflake)

• Experience with Python, SQL, Spark, and Py Spark

• 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 Elastic Search and Ni Fi

• 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

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