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About
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
Nice-to-have skills
- AWS Lambda
- PySpark
- Python
- SQL
- Spark
- Databricks
Work experience
- Data Engineer
Languages
- English
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