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Leidos

Builds technology for defense and civil agencies

Data Integration Engineer

Data EngineeringConfirmed live in the last 24 hours
Full-timeNo salary listedIn-person

About the Job

Requirements

  • Experience in data integration, ETL/ELT development, data engineering, or a related technical discipline.
  • Experience working with SQL and relational databases, data warehouses, and/or data lake environments.
  • Experience using integration and data platform technologies such as Azure Data Factory, Databricks, Microsoft Fabric, Azure Synapse, AWS Glue, Informatica, Snowflake, SSIS, Talend, Redshift, BigQuery, or similar platforms.
  • Capability in developing integrations across APIs, web services, cloud platforms, databases, and common data formats including JSON, XML, CSV, Parquet, and Avro.
  • Knowledge of data transformation, mapping, validation, reconciliation, metadata, lineage, governance, and data quality practices.
  • Experience with cloud environments such as Microsoft Azure, AWS, or Google Cloud.
  • Experience using programming or scripting languages such as Python, SQL, PySpark, Java, or similar technologies.
  • Understanding of source control, CI/CD pipelines, DevOps practices, and secure data management principles including access controls, encryption, and privacy requirements.
  • Well-developed analytical, troubleshooting, and problem-solving skills, with the ability to investigate issues, identify root causes, and implement effective solutions.
  • Ability to communicate clearly with a range of stakeholders and translate business requirements into practical technical outcomes.
  • The successful applicant must hold an NV-1 Security Clearance.

Responsibilities

  • Design, build, and optimise ETL/ELT pipelines that integrate data across enterprise applications, databases, cloud platforms, data warehouses, and analytics environments.
  • Develop reusable integration frameworks, transformation logic, validation processes, and monitoring capabilities that improve data quality, reliability, and operational efficiency.
  • Support the delivery of new business initiatives, system implementations, data migrations, and platform upgrades by providing secure and scalable integration solutions.
  • Collaborate with technical and business stakeholders to translate requirements into practical outcomes, while contributing to testing, automation, CI/CD practices, and continuous improvement of the data platform.

Desired Qualifications

  • Experience with Apache Spark, dbt, Kafka, or other modern data transformation and event-streaming technologies.
  • Knowledge of real-time and event-driven integration patterns.
  • Familiarity with Infrastructure as Code, cloud automation, and platform engineering practices.
  • Exposure to analytics and visualisation platforms such as Power BI or Tableau.
  • Experience working within Agile, DevOps, or ITIL delivery environments.
  • A degree, diploma, or equivalent practical experience in Computer Science, Information Technology, Data Engineering, Software Engineering, or a related discipline.
  • Relevant certifications in cloud technologies, data engineering, database platforms, or integration technologies.

About the Company

Leidos

Builds technology for defense and civil agencies

Leidos develops technology and runs services for defense, intelligence and civilian agencies, as well as healthcare and commercial customers. It combines software and engineering work with systems integration, building secure networks and equipment used in demanding operations. Its portfolio includes medical services, energy infrastructure design and technology that supports military missions, linking specialist businesses under one parent. Customers pay through contracts for delivered systems and services, with payment tied to labor, costs or agreed project milestones. Leidos traces its roots to a company founded in 1969 and is headquartered in Reston, Virginia.

Company size
10,001+
Company stage
IPO
Headquarters
Reston, VA
Founded
1969

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