Data Engineer (SKY-005-01)

Sabree Software Services, Inc.

$110K — $130K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • High School Diploma with 5+ years of software development experience in Python
  • Proficient in data engineering practices
  • Skilled in building and maintaining data pipelines and ETL processes
  • Familiar with Git/GitHub or equivalent version control systems
  • Knowledgeable in handling data formats like JSON, XML, and CSV
  • Experience with Bash, Linux, and command-line tools in development or production environments

Responsibilities

  • Design and build resilient data pipelines using Python
  • Develop and support complex data solutions for transformation and validation
  • Integrate diverse data sources including REST APIs and flat files
  • Ensure data availability, reliability, and security for stakeholders
  • Test and validate data movement and transformation code
  • Provide ongoing platform and production support and issue resolution
  • Collaborate with teams to enhance user understanding of data analytics

Benefits

  • Opportunity to work in a dynamic and customer-oriented team
  • Contribute to impactful data-driven decisions
  • Work with advanced technologies in the field of data engineering
  • Engage with cross-functional teams for holistic data solutions
  • Career growth with skills enhancement in analytics and cybersecurity
Full Job Description
Job Description

Seeking a motivated, career and customer-oriented Data Engineer to join our team in Herndon VA. The Data Engineer will leverage their expertise with Python to support the customer's data pipelines and related applications, from collection to ingestion, and ensure the integrity and security of data systems. You will play a critical role in delivering relevant and actionable cyber data to the right customers in a format that is normalized and actionable by cyber analysts and data scientists.

Responsibilities include but are not limited to:

  • Design, build, optimize, and maintain resilient data pipelines using Python, with a focus on data collection, ingestion, ETL, and analytics
  • Develop and support complex data solutions, including data transformation, validation, and quality controls
  • Integrate data from a variety of internal and external sources, including REST APIs, flat files, and structured/semi-structured formats
  • Ensure data is available, accessible, reliable, and securely handled to meet stakeholder and operational needs
  • Test, troubleshoot, and validate data movement, parsing, and transformation code across development and production environments
  • Provide platform and production support, including debugging, root cause analysis, issue resolution, and ongoing maintenance
  • Collaborate with cross-functional teams to deliver data products and help end users understand and effectively use analytics environments


Required Skills

  • High School Diploma and 5+ years' experience with software development in Python
  • Experience with data engineering
  • Experience building and maintaining data pipelines, ETL processes, and ingestion workflows
  • Experience with Git/GitHub or similar version control systems
  • Experience with common data formats such as JSON, XML, CSV, and other structured or semi-structured data
  • Experience working with Bash, Linux, and command-line tools in a development or production environment"

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