AWS Data Engineer

VSO Inc.; United States; On-site; USD 120,000 - 180,000; Full time

Benefits offered by this job

Health benefits

Flexible work arrangements

Learning & development opportunities

Job summary

VSO Inc. is seeking an AWS Data Engineer to join our team in the DC Metro Area. You will design and maintain ETL/ELT pipelines using PySpark, Python, SQL, and AWS services like Glue, Redshift, and EMR to deliver secure, reliable data solutions, with a focus on data lakes and warehouses.

You must have 5+ years of data engineering experience (3+ with AWS), be eligible for U.S. citizenship, and hold an active TS/SCI clearance.

Qualifications

• Bachelor's degree in Computer Science, Information Systems, Engineering, or related field (or equivalent experience).
• 5+ years of experience in data engineering or ETL development.
• 3+ years of hands-on experience with AWS data services (Glue, S3, Lambda, Redshift, Athena, EMR).

Responsibilities

• Design, develop, and maintain ETL/ELT pipelines that ingest, transform, and load data from multiple sources.
• Build and optimize data solutions using AWS services such as Glue, S3, Lambda, Redshift, EMR, Athena, and Step Functions.
• Develop data processing jobs in Python, PySpark, and SQL with a focus on performance, reliability, and maintainability.
• Model data for data lakes and data warehouses, including schema design, partitioning, and cataloging.
• Implement data quality checks, monitoring, logging, and alerting for production pipelines.
• Apply security and compliance best practices (IAM, encryption, least privilege) appropriate for a federal environment.
• Collaborate with stakeholders to gather requirements, troubleshoot issues, and document solutions.

Skills

Python

SQL

PySpark

AWS data services

ETL pipelines

Data warehousing

Dimensional modeling

Git

Agile delivery

Communication

Education

Bachelor's degree in Computer Science or related field

Tools

Terraform

CloudFormation

Airflow / MWAA

Step Functions

Databricks

Snowflake

Informatica

Kinesis

Kafka

Job description

Virtual Service Operations is searching for an AWS Data Engineer to join our team. You’ll work with Python, PySpark, SQL, and AWS services like Glue, Redshift, and EMR to deliver secure, reliable, and well-modeled data solutions. Candidates should bring 5+ years of data engineering experience (3+ with AWS).

Key Responsibilities

• Design, develop, and maintain ETL/ELT pipelines that ingest, transform, and load structured and semi-structured data from multiple sources.
• Build and optimize data solutions using AWS services such as Glue, S3, Lambda, Redshift, EMR, Athena, and Step Functions.
• Develop data processing jobs in Python, PySpark, and SQL, with a focus on performance, reliability, and maintainability.
• Model data for data lakes and data warehouses, including schema design, partitioning, and cataloging.
• Implement data quality checks, monitoring, logging, and alerting for production pipelines.
• Apply security and compliance best practices (IAM, encryption, least privilege) appropriate for a federal environment.
  Support CI/CD and infrastructure-as-code practices for data workloads.
• Collaborate with stakeholders to gather requirements, troubleshoot issues, and document solutions.

Required Qualifications

• Strong proficiency in Python and SQL; experience with PySpark/Spark.
• Experience building and supporting production ETL pipelines with large datasets.
• Solid understanding of data warehousing concepts, dimensional modeling, and data lake architecture.
• Experience with version control (Git) and Agile delivery.
• Strong communication skills and ability to work with technical and non-technical stakeholders.

Preferred Qualifications

• AWS certifications (Data Engineer – Associate, Solutions Architect, or similar).
• Experience with Terraform or CloudFormation.
• Experience with orchestration tools such as Airflow (MWAA) or Step Functions.
• Familiarity with Databricks, Snowflake, or Informatica.
• Experience with streaming tools (Kinesis, Kafka).
• Prior federal government experience, ideally with financial regulatory data (e.g., SEC, FINRA, Treasury, Federal Reserve).
• Experience working in FedRAMP or other compliance-driven environments.

Requirements

• Bachelor's degree in Computer Science, Information Systems, Engineering, or related field (or equivalent experience).
• 5+ years of experience in data engineering or ETL development.
• 3+ years of hands-on experience with AWS data services (Glue, S3, Lambda, Redshift, Athena, EMR).8+ years of professional experience
• This is an onsite role in the DC Metro Area
• Active TS/SCI Clearance
• Please note that this specific position requires U.S. citizenship status

What is Important to Us

• You are an excellent communicator in writing and speaking.
• You have the ability to work independently but also value teamwork.
• Your problem-solving skills are excellent.
• You are looking for a job where performance appraisals occur regularly, and you look forward to advancing your career.
• You seek a community of virtue-centered co-workers and clients.

What we offer you

As part of the VSO company, you will be part of a virtue-centered team who value their work and teammates. This is a no-jerk zone. We provide ongoing learning and development opportunities to foster continuous growth. We offer competitive salaries, health benefits, and flexible work arrangements.

More About VSO

VSO is a hybrid cloud and managed services consulting firm. Much of VSO's success can be attributed to our deep partnerships with IT services industry leaders such as AWS, IBM, Microsoft and others. VSO leverages numerous other partner relationships so as to provide our customers with optimal support. Additionally, we take pride in taking care of our employees. We offer a wide variety of benefits for eligible employees related to health, retirement, professional development, and more! For more information, please visit our website at https://vso-inc.com/careers