Data Engineer- Local

VANTAGE AI CORPORATION
Vienna, VA, United States
3 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
3 years minimum
Compensation
$95,000.0 - $110,000.0
Working hours
Regular working hours
Job source

Tech stack

Artificial Intelligence Airflow Amazon Web Services Amazon Elastic Compute Cloud Amazon S3 Data Analysis Big Data Data Governance Extract Transform Load (ETL) Data Mart Data Security Data Warehousing
+21 more
DevOps Apache Hadoop Python (Programming Language) Meta-Data Management SQL Databases Data Streaming Unstructured Data Data Logging Data Processing Apache Spark Git Cloudformation Data Lakes Pyspark Data Analytics Non-relational Database Functional Programming Cloudwatch Terraform Software Version Control Data Pipelines

Job description

  • Design, develop, and maintain robust ETL/ELT data pipelines using Python and AWS services
  • Build and optimize data lakes, data warehouses, and data marts on AWS
  • Ingest, transform, and process structured and unstructured data from multiple sources
  • Ensure data quality, integrity, security, and compliance with federal standards
  • Collaborate with data scientists, analysts, and application teams to support analytics and reporting
  • Optimize performance, cost, and scalability of data workflows in AWS
  • Implement data governance, metadata management, and logging/monitoring practices
  • Support documentation, data models, and technical design artifacts
  • Troubleshoot production issues and support ongoing enhancements

Requirements

Do you have experience in Version control?, Do you have a Bachelor’s degree?, * 5+ years of hands-on experience as a Data Engineer or similar role

  • Strong proficiency in Python for data processing and automation
  • Extensive experience with AWS, including services such as:
  • S3, EC2, Lambda
  • Glue, Athena, Redshift
  • EMR, CloudWatch (preferred)
  • Solid understanding of SQL and relational/non-relational databases
  • Experience building batch and/or streaming data pipelines
  • Familiarity with CI/CD pipelines, version control (Git), and DevOps practices
  • Experience working in federal or regulated environments, * US Census Clearance (active or previously held)
  • Experience with big data technologies (Spark, PySpark, Hadoop)
  • Knowledge of data security, encryption, and access controls in AWS
  • Exposure to data orchestration tools (Airflow, Step Functions, etc.)
  • Experience supporting analytics, BI, or AI/ML workloads

Nice to Have

  • AWS Certification (Data Analytics, Solutions Architect, or Developer)
  • Experience with Terraform or CloudFormation
  • Familiarity with federal data standards and compliance frameworks, * Bachelor’s (Required), * Python: 3 years (Required)
  • R: 3 years (Required)
  • SQL: 3 years (Required)
  • ETL: 3 years (Required)
  • AWS: 3 years (Required)
  • Redshift: 3 years (Required)

Work Location: Hybrid remote in Vienna, VA 22182

Benefits & conditions

1416 Rosewood Hill Drive, Vienna, VA 22182 Hybrid work $95,000 - $110,000 a year - Full-time, Contract, Pulled from the full job description

  • 401(k)
  • Health insurance
  • Paid time off
  • Dental insurance
  • Relocation assistance, Job Types: Full-time, Contract

Pay: $95,000.00 - $110,000.00 per year, * 401(k)

  • Dental insurance
  • Health insurance
  • Paid time off
  • Relocation assistance

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