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Cleared Data Engineer

About Accenture

Accenture helps enterprises and governments reinvent strategy, technology, operations and customer growth through global consulting, managed services, AI/data, cloud and ecosystem partnerships.

Public · 5000+ people

Job description

The full responsibilities and requirements are on the employer’s site.

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Internal deployment & tooling · Evidence for this classification:

At Accenture Federal Services, nothing matters more than helping the US federal government make the nation stronger and safer and life better for people. Our 13,000+ people are united in a shared purpose to pursue the limitless potential of technology and ingenuity for clients across defense, national security, public safety, civilian, and military health organizations. Join Accenture Federal Services, a technology company within global Accenture. Recognized as a Glassdoor Top 100 Best Place to Work, we offer 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
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At Accenture Federal Services, nothing matters more than helping the US federal government make the nation stronger and safer and life better for people. Our 13,000+ people are united in a shared purpose to pursue the limitless potential of technology and ingenuity for clients across defense, national security, public safety, civilian, and military health organizations. Join Accenture Federal Services, a technology company within global Accenture. Recognized as a Glassdoor Top 100 Best Place to Work, we offer 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 v [... source excerpt omitted ...] 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 #LI-DataAI As required by local law, Accentur [... source excerpt omitted ...] culture in which all our people are respected, feel a sense of belonging, and have equal opportunity. As a business imperative, every person at Accenture Federal Services has the responsibility to create and sustain a culture where everyone feels welcomed and included. This is grounded in our core values and our experience that hiring and developing great people who reflect different perspectives, experiences, and backgrounds is key to driving innovation and delivering the results that our clients and the country count on. Equal Employment Opportunity Statement We believe that no one should be discriminated against because of their differences. All employment decisions shall be mad

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