InfoSec Engineer - Data Engineer
Salary undisclosed
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RESPONSIBILITIES:
Kforce has a client in Reston, VA that is seeking an InfoSec Engineer - Data Engineer.
Data Architecture & Engineering:
* Design, implement, and maintain scalable data pipelines and data lakes using AWS services such as Glue, Lambda, Step Functions, S3, Redshift, and DynamoDB
* Develop real-time and batch data processing solutions using Apache Spark, Kinesis, and Kafka
* Optimize data storage, retrieval, and compute efficiency across AWS resources
ETL & Data Integration:
* Build and manage ETL/ELT pipelines using AWS Glue, Step Functions, or other orchestration tools
* Integrate data from various sources (APIs, databases, third-party platforms) into centralized storage (e.g., S3, Redshift, or Snowflake)
* Implement data transformation and quality checks to ensure accuracy, consistency, and compliance
Data Governance & Security:
* Enforce data security and compliance standards using AWS IAM, KMS, and Lake Formation
* Implement data cataloging, lineage tracking, and metadata management with AWS Glue Data Catalog
* Monitor, tune, and optimize query performance on Redshift, Athena, and other databases
* Collaboration with stakeholders
REQUIREMENTS:
* AWS Data Engineer or related certification is a plus
* 5+ years of experience in data engineering, with at least 5+ years of hands-on AWS experience
* Expertise in AWS services such as Glue, Redshift, Athena, S3, Lambda, Step Functions, EMR, and Kinesis
* Strong proficiency in SQL, Python, and Spark for data processing and transformations
* Experience with data modeling, warehousing (Redshift, Snowflake), and distributed computing frameworks
* Familiarity with IaC (Terraform, CloudFormation)
* Experience with CI/CD pipelines for data workflows (e.g., GitHub Actions, CodePipeline, or Airflow)
* Knowledge of data governance, security best practices, and compliance frameworks
* Strong analytical and problem-solving skills with the ability to optimize complex queries and large-scale data processing
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
By clicking ?Apply Today? you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.
Kforce has a client in Reston, VA that is seeking an InfoSec Engineer - Data Engineer.
Data Architecture & Engineering:
* Design, implement, and maintain scalable data pipelines and data lakes using AWS services such as Glue, Lambda, Step Functions, S3, Redshift, and DynamoDB
* Develop real-time and batch data processing solutions using Apache Spark, Kinesis, and Kafka
* Optimize data storage, retrieval, and compute efficiency across AWS resources
ETL & Data Integration:
* Build and manage ETL/ELT pipelines using AWS Glue, Step Functions, or other orchestration tools
* Integrate data from various sources (APIs, databases, third-party platforms) into centralized storage (e.g., S3, Redshift, or Snowflake)
* Implement data transformation and quality checks to ensure accuracy, consistency, and compliance
Data Governance & Security:
* Enforce data security and compliance standards using AWS IAM, KMS, and Lake Formation
* Implement data cataloging, lineage tracking, and metadata management with AWS Glue Data Catalog
* Monitor, tune, and optimize query performance on Redshift, Athena, and other databases
* Collaboration with stakeholders
REQUIREMENTS:
* AWS Data Engineer or related certification is a plus
* 5+ years of experience in data engineering, with at least 5+ years of hands-on AWS experience
* Expertise in AWS services such as Glue, Redshift, Athena, S3, Lambda, Step Functions, EMR, and Kinesis
* Strong proficiency in SQL, Python, and Spark for data processing and transformations
* Experience with data modeling, warehousing (Redshift, Snowflake), and distributed computing frameworks
* Familiarity with IaC (Terraform, CloudFormation)
* Experience with CI/CD pipelines for data workflows (e.g., GitHub Actions, CodePipeline, or Airflow)
* Knowledge of data governance, security best practices, and compliance frameworks
* Strong analytical and problem-solving skills with the ability to optimize complex queries and large-scale data processing
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
By clicking ?Apply Today? you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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