Data Engineer Security Clearance

Position: Data Engineer with Security Clearance
Job Details 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 #cjpost

Job Requirements:

* Integrate new data and big data management technologies and software engineering tools
* Utilize the new big data tools
* Ensure the data architecture can be extendable for big data solutions
* Implement data tools to support analytics and data scientist team
* Breathe data systems architecture engineering
* Design the data architecture and data integration layers
* Ensure that data center networks
* Develop business critical data solutions
* Manage the migration of data from legacy systems to new data solutions
* Troubleshoot data processing and regular data loads
* Integrate new data technologies/tools across the enterprise
* Evangelize data best practices and implement analytics solutions
* Discover data across many different systems, data sources, and data types
* Collect and store big data
* Executing data center infrastructure engineering projects About AECOM
* Executing data center infrastructure engineering projects
* Implement data extraction tools with integration of a variety of data sources and data formats
* Solve big data problems with smart algorithmic solutions
* Assist with data-related technical issues
* Build and integrate data from various resources and manage big data