Description
This position requires an ACTIVE security clearance.
This position can be performed remote from anywhere but may require up to 15% travel.
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. Armys 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:
- Bachelors 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.
Required Experience:
Senior IC
Full-timeDescriptionThis position requires an ACTIVE security clearance.This position can be performed remote from anywhere but may require up to 15% travel.As a Senior Data Pipeline Engineer you will play a crucial role in designing building and maintaining robust data pipelines for our customers. ...
Description
This position requires an ACTIVE security clearance.
This position can be performed remote from anywhere but may require up to 15% travel.
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. Armys 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:
- Bachelors 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.
Required Experience:
Senior IC
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