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iQuasar LLC

Senior Data Engineer

iQuasar LLC

Senior Data Engineer developing scalable data frameworks to support enterprise decision-making. Expertise required in Databricks, SQL, and ETL pipelines in a hybrid work environment.

Posted 6/24/2026contractWashington, D.C. • District of Columbia, Washington • 🇺🇸 United StatesSeniorWebsite

Tech Stack

Tools & technologies
AirflowApacheAWSAzureCloudETLGoogle Cloud PlatformKafkaSparkSQL

About the role

Key responsibilities & impact
  • Plan, design, build, test, deploy, and maintain highly scalable web-based services utilizing modern technologies.
  • Build, test, and orchestrate data pipelines in Databricks.
  • Design and optimize data structures, schemas, and ETL processes.
  • Translate business use cases into SQL queries, reports, and dashboards.
  • Manage database objects in development environments without impacting production.
  • Automate workflows using Databricks Workflows or the Jobs API.
  • Integrate code into GitHub/GitLab and support CI/CD practices.
  • Diagnose data gaps/quality issues and design test cases for validation.
  • Collaborate with developers and analysts to synchronize code and ensure reliability.

Requirements

What you’ll need
  • Active Secret clearance (mandatory requirement).
  • Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field.
  • 7+ years of professional experience in data engineering.
  • Expert-level proficiency in Databricks, Apache Spark, and SQL.
  • Experience with Kafka, Airflow, or AWS Glue for ETL.
  • Proficiency in CI/CD pipelines and GitHub/GitLab version control.
  • Knowledge of cloud platforms (AWS, Azure, GCP).
  • Excellent problem-solving, debugging, and collaboration skills.

Benefits

Comp & perks
  • Flexible work from home options

ATS Keywords

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Hard Skills & Tools
DatabricksApache SparkSQLETLCI/CDGitHubGitLabdata pipelinesdata structuresschemas
Soft Skills
problem-solvingdebuggingcollaboration
Certifications
Active Secret clearance