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Jobs or company...

Data Engineer

  • Full Time, onsite
  • Input Technology Solutions
  • On Site, United States of America
Salary undisclosed

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Dice
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Job Description

Job Description

Input Technology Solutions is seeking a Data Engineer to support a program in Honolulu, HI. As a Data Engineer, you will play a crucial role in designing, developing, and maintaining our Advana data infrastructure, pipelines and systems. Proficiency in ETL, Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks is crucial for ensuring efficient data ingest, processing and analysis. You will develop and manage ETL processes and data pipelines across various government platforms, working with a wide range of data types.

What you will do:

  • Design, develop, and implement end-to-end data pipelines, utilizing ETL processes and technologies such as Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks.
  • Create and optimize data pipelines from scratch, ensuring scalability, reliability, and high-performance processing.
  • Perform data cleansing, data integration, and data quality assurance activities to maintain the accuracy and integrity of large datasets.
  • Leverage big data technologies to efficiently process and analyze large datasets, particularly those encountered in a federal agency.
  • Troubleshoot data-related problems and provide innovative solutions to address complex data challenges.
  • Implement and enforce data governance policies and procedures, ensuring compliance with regulatory requirements and industry best practices.
  • Work closely with cross-functional teams to understand data requirements and design optimal data models and architectures.
  • Collaborate with data scientists, analysts, and stakeholders to provide timely and accurate data insights and support decision-making processes.
  • Maintain documentation for software applications, workflows, and processes.
  • Stay updated with emerging trends and advancements in data engineering and recommend suitable tools and technologies for continuous improvement.
What you need to have:
  • Bachelor's Degree and 0 to 2 years of experience; 6 to 8 years with no degree
  • Clearance:TS/SCI clearance
  • 1+ years of Python experience including developing, running, packaging, and testing Python scripts
  • Experience with distributed version control systems (VCS)
  • Experience with the entire ETL/ELT pipeline, including data ingestion, data normalization, data preparation, and database design
  • Experience with conducting exploratory data analysis to communicate qualitative and quantitative findings to analysts
  • Experience processing and fusing structured and unstructured data
  • Experience with data engineering projects supporting data science and AI/ML workloads
  • Experience creating solutions within a collaborative, cross-functional team environment in team sprint cycles
  • Bachelor's degree
What we'd like you to have:
  • Experience with using Palantir products for data manipulation, correlation, and visualization
  • Experience with AWS or other cloud computing services
  • Experience with Kafka and NiFi development
  • Experience with containerization tools, including Docker and Kubernetes
  • TS/SCI with Counterintelligence Polygraph
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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