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Cleared Data EngineerClearanceJobsUnited States
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Cleared Data Engineer

ClearanceJobs
  • US
    United States
  • US
    United States

About

divh2Pipeline Architect/h2pAt Accenture Federal Services, nothing matters more than helping the US federal government make the nation stronger and safer and life better for people. Join Accenture Federal Services, 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!/ppThe work:/pulliDesign, build, and maintain scalable end-to-end data pipelines using Databricks, Spark, and related technologies./liliDevelop efficient data processing and transformation workflows to support analytics and reporting needs./liliIntegrate diverse data sources including APIs, databases, and cloud storage into unified datasets./liliWork closely with cross-functional teams (data science, analytics, business units) to design and implement data solutions that align with business goals./liliImplement robust validation, monitoring, and observability processes to ensure data accuracy, completeness, and reliability./liliContribute to data governance, security, and automation initiatives within the data ecosystem./liliLeverage AWS services (e.g., S3, Glue, Lambda, Redshift) to build and deploy data solutions in a cloud-native environment./li/ulpHeres what you need:/pulliExperience with cloud-based ETL services (e.g. AWS Glue, Google Cloud Dataflow, Azure Data Factory)/liliExperience with cloud data warehousing technologies (e.g. Amazon Redshift, Google BigQuery, Snowflake)/liliExperience with Python, SQL, Spark, and PySpark/liliExperience with data platforms like Databricks, Palantir, and Snowflake/liliFamiliarity with data orchestration and data quality processes/li/ulpBonus points if you have:/pulliExperience working with federal clients/liliExperience with Docker/Kubernetes Hadoop/Spark, NiFi, ELK stack/liliExperience with Agile / Scrum/liliExperience with COTS and open-source data engineering tools such as ElasticSearch and NiFi/liliData engineering certification such as Palantir Foundry Data Engineer, Azure Data Engineer Associate, Google Professional Data Engineer, IBM Certified Data Engineer, or similar/li/ulpSecurity Clearance: Active Top Secret or TS/SCI or TS/SCI with polygraph clearance/ppThe pay range for this position in California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Washington, Vermont, the District of Columbia, and the city of Cleveland is: $93,400 - $176,200 USD/p/div
  • United States

Languages

  • English
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