1155 IT & Software Developer jobs in the US

MANTECH jobs

ETL data engineer with SQL expertise

$100,000 - 140,000
MANTECH
Park Meadow Drive 14280, Chantilly
$100,000 - 140,000
Company Size icon
Company Size
1k-5k
Company Type icon
Company Type
Services
Exp Level icon
Exp Level
Regular
Job Type icon
Job Type
Full-Time
Language icon
Language
English
Visa sponsorship icon
Visa sponsorship
No

Requirements

Must:
- High School Diploma with over 7 years of relevant experience in Information Technology - Proven software development background, including substantial Java development, data analysis/parsing, and SQL/database proficiency - Familiarity with the complete data lifecycle, from ingestion to presentation, in a Big Data setting - Knowledge of Java-related technologies such as JDK, J2EE, EJB, JDBC, and/or Spring, along with experience in RESTful APIs - Experience in developing and executing ETL processes in a Linux environment - (Preferred) Exposure to technologies such as Hadoop, Hbase, and MapReduce - (Preferred) Familiarity with Elasticsearch - (Preferred) Experience with NiFi, Kafka, and Zookeeper - Active/current TS/SCI clearance with Polygraph

Responsibilities

- Craft and deploy large-scale data ingestion systems within a Big Data framework - Refine all phases of the data lifecycle, from initial planning and ingestion to final visualization and beyond - Create and implement solutions for data extraction, cleansing, transformation, loading, and distribution - Develop tailored solutions/code to maximize the utilization of both new and existing data sources - Collaborate with Sponsor development teams to enhance application performance - Systematically organize and maintain documentation to ensure accessibility and usability for others - Partner with colleagues, external service providers, vendors, and users to identify and create more efficient processes

Description


We are MANTECH, seeking a dynamic and customer-focused ETL Data Engineer to join our team in Chantilly, VA. In this position, youll be integral to supporting mission-critical data operations by designing, building, and optimizing vast data ingest and processing solutions in a Big Data environment. We emphasize creating reliable and efficient data pipelines that meet analytic and operational demands throughout the entire data lifecycle. Our workplace fosters collaboration and innovation, offering comprehensive benefits to our dedicated team.
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