1 day ago
Base Salary
$71k - $150k/yr
Responsibilities
- Build and optimize reliable, high-performance enterprise data pipelines.
- Implement data ingestion, transformation, enrichment, validation, monitoring, reconciliation, and observability logic.
- Troubleshoot pipelines, tune performance, resolve defects, and improve scalability and resiliency.
- Translate business requirements and domain rules into consistent data transformation logic.
- Develop curated datasets, reusable data products, ontology-aligned datasets, object relationships, and semantic models.
- Collaborate with architects, business analysts, product owners, domain stakeholders, security teams, infrastructure teams, and operations teams.
- Implement data quality checks, governance practices, documentation, lineage awareness, and enterprise integration standards.
- Write maintainable, documented code and participate in peer review, unit testing, integration testing, debugging, and deployment.
- Participate in agile ceremonies, provide status updates, identify blockers, and contribute to continuous improvement.
Requirements
- Bachelor’s degree and a minimum of two years of prior relevant experience.
- Alternatively, a graduate degree with zero to two years of prior related experience.
- Alternatively, a minimum of six years of prior related experience in lieu of a degree.
- Experience with data-intensive software solutions using Python, TypeScript, JavaScript, or similar programming languages is preferred.
- Experience with data pipelines, ETL/ELT workflows, system integrations, relational or non-relational databases, and structured or semi-structured data is preferred.
- Familiarity with Palantir Foundry, including Pipelines, Code Repositories, Ontology, Workshop, Operational Applications, or ontology-based development is preferred.
- Preferred qualifications include knowledge of software engineering practices, data quality, secure software development, data governance, enterprise data management, and regulated industries.
- Exposure to AI/ML-enabled workflows, analytics applications, or operational data products is preferred.
Benefits
- Health and disability insurance, 401(k) match, flexible spending accounts, employee assistance program, education assistance, parental leave, paid time off, and company-paid holidays.
- The role offers a 9/80 schedule with every other Friday off.
- Work locations include Melbourne, Florida; Arlington and Herndon, Virginia; Salt Lake City, Utah; Greenville and Plano, Texas; Rochester, New York; and remote opportunities.
- Benefits and program availability may vary based on hire date, schedule type, and collective bargaining agreements.
Tech Stack
Categories
Data Engineering
About L3Harris
L3Harris Technologies designs and manufactures communications, sensors, avionics, and space systems for defense, intelligence, and commercial aerospace customers, primarily selling to the U.S. and allied governments. The public company (NYSE: LHX) is headquartered in Melbourne, Florida, and was formed in 2019 by the merger of L3 Technologies and Harris Corporation. Offerings range from tactical radios and electronic warfare to ISR payloads and mission software, plus integration and sustainment services.