6 days ago
Remote, United StatesMid Level / Senior
H1B sponsor
Base Salary
$131k - $237k/yr
Responsibilities
- Design logical and physical data models and develop data structures for analytical workloads.
- Build, deploy, maintain, schedule, monitor, and troubleshoot ETL/ELT processes and automated data pipelines.
- Integrate data from databases, applications, APIs, files, logs, and other heterogeneous sources.
- Develop and optimize data warehouses, data marts, data lakes, lakehouses, analytical repositories, SQL queries, stored procedures, and views.
- Clean, normalize, deduplicate, validate, transform, and troubleshoot data while implementing data-quality controls.
- Develop curated datasets and data models for BI, reporting, visualization, analytics, dashboards, and enterprise metrics.
- Document data sources, transformations, interfaces, dependencies, lineage, business rules, data definitions, pipelines, and metadata.
- Apply data governance, security, privacy, access control, encryption, auditing, logging, retention, and protection requirements for sensitive information.
- Maintain data-engineering code under version control and participate in peer reviews, testing, configuration management, change control, CI/CD, and automated deployment.
- Troubleshoot production data-processing failures and perform root-cause analysis while collaborating with application, database, analytics, business, and cybersecurity teams.
Requirements
- U.S. citizenship and ability to receive a Public Trust clearance level are required.
- Verifiable accredited education and a bachelor's degree in Computer Science, Data Science, Information Systems, Software Engineering, Computer Engineering, Mathematics, Statistics, or a related technical discipline are required.
- 3–5+ years of professional experience in data engineering, database development, software engineering, BI engineering, or a related technical discipline are required.
- Experience designing and developing ETL/ELT processes and data pipelines is required.
- Strong experience with relational databases and SQL is required.
- Experience integrating data from multiple heterogeneous sources, developing analytical data models or warehouses, and troubleshooting data-quality and data-integration issues is required.
- Strong proficiency in several areas including advanced SQL, Oracle, SQL Server, PostgreSQL or comparable RDBMS technologies, Python or another programming language, data modeling, dimensional modeling, REST APIs, data validation, Git, automated testing, CI/CD, and structured or semi-structured data processing is expected.
- Preferred experience includes Azure, AWS, Snowflake, Databricks, Spark, Airflow, dbt, Kafka, Power BI, Tableau, or similar platforms.
- Strong analytical, problem-solving, communication, documentation, configuration-management, data-governance, security, and lifecycle-management skills are expected.
Benefits
- Pay range is $131,300.00–$237,350.00 annually.
- U.S. position with an anticipated posting duration of at least three days after the October 2, 2026 original posting date, subject to business needs.
- Candidates must keep their camera on during the interview; the interviewer may take an identification photograph if an offer is extended.
Tech Stack
Apache AirflowApache KafkaApache SparkAWSAzureDatabricksdbtGitMicrosoft SQL ServerPostgreSQLPythonSnowflakeSQL
Categories
Data Engineering
About Leidos
Leidos builds and operates technology and engineering solutions for defense, intelligence, civil, and health agencies, including systems integration, cyber, enterprise IT, sensors, and healthcare IT. It primarily sells through government contracts and long-term programs, plus managed services and mission software. Founded in 1969 and headquartered in Reston, Virginia, Leidos is a Fortune 500 public company on the NYSE; customers include U.S. defense and intelligence agencies and civil bodies such as the FAA.