Mid Data Engineer

SteerBridge

$120K — $135K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • U.S. citizenship is a requirement.
  • Bachelor's degree in computer science or a related field and at least 3 years of relevant experience.
  • Must have or be able to obtain an active security clearance.
  • Strong programming skills in Python and SQL are essential.
  • Proven experience with AWS Glue and data processing tools.

Responsibilities

  • Build and maintain batch and real-time data ingestion pipelines.
  • Lead the design and implementation of scalable ETL processes in distributed systems.
  • Develop data lake architecture for various data formats.
  • Utilize AWS services for orchestration and scheduling workflows.
  • Transform and prepare data for downstream applications using AWS Glue, Python, and SQL.
  • Ensure compliance with data quality, governance, and lineage standards.
  • Collaborate with software teams and data scientists on reporting and models.
  • Mentor junior engineers and document technical processes.

Benefits

  • Comprehensive health, dental, and vision insurance.
  • Life insurance coverage.
  • 401(k) retirement plan with company matching contributions.
  • Generous paid time off policy.
  • Paid federal holidays.
Full Job Description
Required Skills and Qualifications
  • Required Skills and Qualifications
  • Must be a U.S. Citizen.
  • Bachelor's degree in computer science or related field, with a minimum of three (3) years of relevant work experience.
  • An active security clearance or the ability to obtain one is required.


Responsibilities
  • Build, optimize, and maintain batch and real-time data ingestion pipelines
  • Lead design and implementation of scalable ETL processes across complex, distributed systems
  • Develop and manage data lake architecture for structured and unstructured data
  • Utilize AWS services (EventBridge, S3 Event Notifications) for workflow orchestration and scheduling
  • Use AWS Glue, Python, and SQL to transform and prepare data for downstream consumption
  • Ensure data quality, lineage, governance, and compliance across all systems
  • Work closely with software team and data scientists to support reporting and model development
  • Mentor junior engineers, providing technical guidance and peer reviews
  • Document data pipelines, standards, and data product specifications


Professional Experience/ Qualifications
  • Strong proficiency in Python and SQL
  • Hands-on experience with Pandas, PySpark, and AWS Glue
  • Deep understanding of ETL frameworks, data lake design, and cloud-based architecture
  • Familiarity with real-time and batch data processing tools and methodologies
  • Experience with data governance, security compliance, and maintaining data quality standards.
  • Employees in this role are responsible for safeguarding sensitive information and must adhere to all organizational security and privacy policies, ensuring the protection, proper handling, and confidentiality of data at all times.
  • Location: Must be local to the Vienna, Va area and able to work on-site at our Vienna, VA office (3-5 days/week). Hybrid opportunities at supervisors' discretion.


Benefits

  • Health insurance
  • Dental insurance
  • Vision insurance
  • Life Insurance
  • 401(k) Retirement Plan with matching
  • Paid Time Off
  • Paid Federal Holidays


$120,000 - $135,000 a year

Salary is commensurate with years of experience

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