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Data Engineer

3 months ago

Kennedy Space Center, United States INSPYR Solutions Full time
Title: Data Engineer
Location: Orlando, FL
Duration: 18 months
Compensation: $80-90/hr
Work Requirements: US Citizen, GC Holders or Authorized to Work in the U.S.

Job Description:

We are seeking a skilled and experienced Data Engineer to join our team. As a Data Engineer, you will be responsible for designing, developing, and maintaining our data pipelines and infrastructure. You will work closely with our data scientists and analysts to ensure that data is collected, processed, and analyzed efficiently and accurately. The ideal candidate will have a strong background in Python, SQL, GitHub, and Airflow, as well as experience working with large-scale data systems.

Responsibilities:
  • Design, develop, and maintain scalable data pipelines and infrastructure.
  • Collaborate with data scientists and analysts to understand data requirements and implement solutions.
  • Develop and optimize SQL queries for data extraction, transformation, and loading (ETL) processes.
  • Implement data quality checks and monitoring to ensure data accuracy and consistency.
  • Work with stakeholders to gather requirements and prioritize tasks.
  • Troubleshoot and resolve issues related to data processing and pipeline performance.
  • Utilize version control systems, such as Git and GitHub, for managing codebase and collaborating with team members.
  • Implement best practices for data engineering, including data governance, security, and compliance.
  • Stay current with industry trends and emerging technologies in data engineering and analytics.
  • Document data pipelines, processes, and workflows for knowledge sharing and future reference.
Requirements:
  • Bachelor's degree in Computer Science, Engineering, or related field.
  • Proven experience as a Data Engineer or similar role.
  • Strong programming skills in Python, with experience in data processing libraries such as Pandas, NumPy, and PySpark.
  • Proficiency in SQL and database management systems (e.g., PostgreSQL, MySQL, SQL Server).
  • Experience with workflow orchestration tools, such as Apache Airflow.
  • Familiarity with version control systems, particularly Git and GitHub.
  • Experience working with large-scale data platforms and distributed computing frameworks (e.g., Hadoop, Spark).
  • Solid understanding of data modeling, schema design, and data warehousing concepts.
  • Excellent problem-solving and analytical skills.
  • Strong communication and collaboration abilities.
Preferred Qualifications:
  • Master's degree in Computer Science, Engineering, or related field.
  • Certification in relevant technologies (e.g., AWS Certified Big Data - Specialty).
  • Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes).
  • Knowledge of streaming data processing technologies (e.g., Kafka, Apache Flink).
  • Experience with cloud platforms (e.g., AWS, Azure, Google Cloud Platform).
Our benefits package includes:
  • Comprehensive medical benefits
  • Competitive pay, 401(k)
  • Retirement plan
  • ...and much more


About INSPYR Solutions

Technology is our focus and quality is our commitment. As a national expert in delivering flexible technology and talent solutions, we strategically align industry and technical expertise with our clients' business objectives and cultural needs. Our solutions are tailored to each client and include a wide variety of professional services, project, and talent solutions. By always striving for excellence and focusing on the human aspect of our business, we work seamlessly with our talent and clients to match the right solutions to the right opportunities. Learn more about us at inspyrsolutions.com.

INSPYR Solutions provides Equal Employment Opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, or genetics. In addition to federal law requirements, INSPYR Solutions complies with applicable state and local laws governing nondiscrimination in employment in every location in which the company has facilities.

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