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Senior Data Pipeline Engineer

Senior Data Pipeline Engineer

Quality Business EngineeringHuntsville, AL, United States
4 days ago
Job type
  • Full-time
Job description

Job Type

Full-time

Description

As a Senior Data Pipeline Engineer, you will play a crucial role in designing, building, and maintaining robust data pipelines for our customers. Your expertise will drive efficient collection, storage, processing, and transformation of large-scale data sets in support of the U.S. Army's energy and water use metering program. The total solution is considered a system-of-systems with developed applications integrating with the Army enterprise cloud and data environment. You will work closely with cross-functional teams to ensure seamless integration and optimal performance.

Responsibilities :

Pipeline Development :

  • Design, develop, and optimize end-to-end data pipelines for efficient data extraction, transformation, and loading (ETL) processes.
  • Collaborate with cross-functional teams to understand data requirements and translate them into scalable pipeline solutions.
  • Implement best practices for data integration, ensuring high performance, reliability, and scalability.

Data Transformation and Quality :

  • Transform raw data into usable formats, ensuring data quality, consistency, and accuracy.
  • Handle data validation, cleansing, and error handling to maintain data integrity.
  • Monitor and proactively maintain data pipelines to ensure high service availability.
  • Performance Optimization :

  • Continuously improve pipeline performance by identifying bottlenecks and implementing optimizations.
  • Work with cloud-based technologies (e.g., AWS, GCP, Azure) to enhance scalability and efficiency.
  • Collaboration and Leadership :

  • Partner with Data Scientists, Analysts, and other stakeholders to understand their data needs.
  • Lead discussions on system enhancements, process improvements, and data governance.
  • Mentor junior engineers and contribute to the growth of the data engineering team.
  • #qf

    #qg

    Requirements

    REQUIRED QUALIFICATIONS :

  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • 5+ years of experience in data engineering, with a focus on building and maintaining data pipelines.
  • 1-2 years experience with building NiFI data flows or similar for Kafka and Hadoop-based NoSQL databases.
  • Proficiency in ETL tools, SQL, and scripting languages (Python, Scala, etc.).
  • Experience with Data Catalog and Accumulo indexes for information retrieval and discovery.
  • Experience with API-led design.
  • Experience with ELK stack a plus.
  • Experience with cloud-based data platforms (e.g., AWS S3, Redshift, Google BigQuery).
  • Strong problem-solving skills and attention to detail.
  • Excellent communication and collaboration abilities.
  • Security+ Certification
  • Active US Government Clearance at Secret level or higher
  • Effective written and verbal communications skills for collaboration with both customers and fellow team members.
  • Ability to sit for extended periods of time.
  • Ability to regularly lift at least 25 pounds.
  • Ability to commute to the designated onsite work location as required.
  • QBE is an equal opportunity / affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender, gender-identity and / or expression, age, disability, Veteran status, genetic information, pregnancy (including childbirth, lactation, or other related medical conditions), marital-status, neurodivergence, ethnicity, ancestry, caste, military / uniformed service-member status, or any other characteristic protected by applicable federal, state, local, or international law.

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    Senior Data Engineer • Huntsville, AL, United States