Data Engineer (AWS/ETL)

Cadre
United States
2 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source

Tech stack

Amazon Web Services Amazon S3 Analysis of Variance (ANOVA) Audit Trail Continuous Integration Data as a Services Information Engineering Data Governance Extract Transform Load (ETL) Data Transformation Data Security Data Structures
+39 more
Data Warehousing DevOps Apache Hadoop Interoperability Python (Programming Language) Metadata Performance Tuning Cloud Services Salesforce.Com SQL Databases Data Streaming Systems Integration Data Logging Cloud Platform System Data Ingestion System Availability Delivery Pipeline Apache Spark Infrastructure as Code (IaC) Git Cloudformation Data Lakes Information Technology Deployment Automation Data Analytics AWS Data Analytics Real Time Data Apache Kafka Operational Systems Data Management Tools for Reporting Api Design Cloudwatch Terraform Data Pipelines Devsecops Serverless Computing Jenkins Amazon Redshift

Job description

CADRE is seeking a highly skilled Data Engineer specializing in AWS ETL to support an IT modernization program. This role is responsible for designing and operating scalable, secure data pipelines in AWS that enable real-time insights, system interoperability, and improved decision-making across LGY systems., * Data Pipeline Engineering (ETL/ELT): Design and implement end-to-end ETL pipelines using AWS services such as Glue, Lambda, Step Functions, and EMR.

  • Develop both batch and real-time data ingestion pipelines to support reporting, analytics, and operational systems.
  • Optimize pipelines for performance, reliability, and cost efficiency.
  • AWS Data Platform Development: Build and manage data lakes (Amazon S3) and data warehouses (Amazon Redshift).
  • Utilize query and analytics tools such as Amazon Athena.
  • Define data structures, transformation logic, and partitioning strategies.
  • System Integration & Data Flow: Enable integration across VA systems, Salesforce platforms, and external financial systems.
  • Develop API-driven and event-based ingestion pipelines.
  • Ensure interoperability across enterprise data ecosystems.
  • DevSecOps & Automation: Integrate pipelines into CI/CD workflows using tools such as AWS CodePipeline, Git, and Jenkins.
  • Implement Infrastructure as Code (IaC) using CloudFormation or Terraform.
  • Automate deployment, testing, and monitoring processes.
  • Security & Compliance: Ensure all data pipelines align with federal security standards (NIST 800-53, FedRAMP, VA policies).
  • Implement encryption, access controls, and audit logging.
  • Support Authority to Operate (ATO) processes and continuous compliance monitoring.
  • Monitoring & Optimization: Develop monitoring and alerting systems using Amazon CloudWatch and logging frameworks.
  • Troubleshoot pipeline failures and ensure high availability.
  • Optimize system performance and resource utilization., Keeping people satisfied is no small undertaking. At CADRE, our commitment to supporting employees extends further than conventional benefits. While we offer competitive industry-standard packages, our focus goes beyond transactional care.

This is why we developed the CADRE Cares Program which encompasses a range of benefits and initiatives aimed at enhancing the overall well-being and job satisfaction of employees.

We want to support our employees at the times they need it the most. We envision unwavering commitment to our employees that sets a new standard for compassionate and impactful business practices.

  • CADRE Convoy Program: A dedicated support system designed to cater to your individual needs and enhance your overall well-being, no matter where you are.
  • CADRE Connect Program: A series of intentional touchpoints, events, and initiatives that promote open communication and encourage continuous growth and development among team members.
  • CADRE Compensation Program:
  • 401k Safe Harbor Plans with matching & immediate vesting
  • Medical, Dental, & Vision Plans
  • Paid Time Off: Holidays, Vacation, Wellness, & Personal Leave Plans
  • Continuing Education & Training Budget
  • Office & Technology Budget
  • Cell Phone Budget
  • Wellness & Healthy Living Budget
  • Awards & Bonuses
  • Profit Sharing Plans

Requirements

Do you have experience in Serverless cloud services?, Do you have a Bachelor’s degree?, * 5+ years of experience in data engineering, ETL development, or cloud data platforms.

  • Strong hands-on experience with AWS data services (Glue, S3, Redshift, Lambda, Athena).
  • Proficiency in Python, SQL, and data transformation techniques.
  • Experience with data pipeline orchestration and workflow automation.
  • Familiarity with DevOps/CI/CD practices in cloud environments.
  • Experience working in federal or regulated environments is highly desirable.
  • Bachelor’s degree in Computer Science, Data Engineering, or related field (or equivalent experience).

Preferred Qualifications (Nice to Have)

  • AWS certifications such as AWS Certified Data Analytics - Specialty or AWS Certified Solutions Architect.
  • Experience supporting VA or federal civilian agencies.
  • Familiarity with big data tools (Apache Spark, Hadoop).
  • Experience with streaming platforms (Amazon Kinesis, Kafka).
  • Knowledge of data governance, metadata, and lineage tools.

Benefits & conditions

Pulled from the full job description

  • Health insurance
  • 401(k) matching
  • Paid time off
  • Vision insurance
  • Dental insurance
  • Profit sharing
  • Paid holidays

About the company

We’re more than a government contracting company. We’re a cadre, a specialized team finely honed in providing innovative solutions that meet the complex and evolving needs of government agencies. We strategically mobilize, manage, and maintain specialized cadres using our RO(M³) model.

CADRE GOVERNMENT SOLUTIONS is an Equal Opportunity and Affirmative Action Employer. We welcome and encourage diversity in our workforce.

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