Software Engineer Skill Level 1

Wyetech•Annapolis Junction, MD

1d•$65 - $78

About The Position

Wyetech is hiring a Software Engineer Skill Level 1 to develop, maintain, integrate, and enhance mission-critical software applications and cloud-based data processing solutions. The role uses Python and PySpark for software development and distributed data processing, with AWS services—particularly Lambda, Glue, and DynamoDB—to support scalable application and data workflows. The engineer works with software engineers, systems engineers, and technical stakeholders to analyze requirements, troubleshoot defects, optimize performance, and integrate solutions into supported systems and operating environments. The position includes software design and implementation, data processing and database integration, cloud development, testing and debugging, system integration, and technical documentation. The engineer may serve as a team lead when appropriate to the development process and assigned responsibilities. Candidates must meet the Software Engineer Skill Level 1 labor-category requirements. The posting lists either a relevant bachelor's degree and seven years of similar-scope software engineering experience, or an experience-substitution option involving eleven years of qualifying experience. It also describes an additional contract-specific cloud and big-data experience requirement whose applicability to this opening should be confirmed. An active TS/SCI clearance with an in-scope Full Scope Polygraph completed within the past seven years is required. U.S. citizenship is required, and employees must maintain applicable clearance and program access requirements. The listed hourly pay range is $64.64–$77.91; actual compensation may vary based on contract rates, education, experience, skills, certifications, and location. The posting mentions various contract and work locations, but does not specify a workplace type for this opening.

Requirements

Demonstrated software development experience using Python and experience developing software using PySpark.
Hands-on PySpark experience with distributed data processing, transformation, and analysis.
Experience developing and supporting applications utilizing AWS, including developing, configuring, deploying, and troubleshooting AWS Lambda functions.
Experience developing and maintaining AWS Glue jobs for data-processing and integration workflows.
Experience working with Amazon DynamoDB, including data access, queries, and application integration.
Experience developing, maintaining, and enhancing software applications based on documented requirements, and modifying software components to add features and functionality.
Experience debugging software defects, troubleshooting application issues, and implementing corrective solutions.
Experience integrating software components into existing or modified systems and operating environments.
Experience developing queries for databases and data repositories.
Experience designing and implementing algorithms to meet functional and performance requirements.
Experience testing software components and documenting test results.
Experience analyzing system performance, data usage, and application workflows to develop software solutions.
Experience preparing and maintaining software and system documentation.
Experience supporting distributed data processing or cloud-based data engineering environments.
Strong analytical, troubleshooting, communication, and problem-solving skills; ability to work independently and collaboratively within a software engineering team.
Meet Software Engineer Skill Level 1 labor-category requirements: either a bachelor's degree in Computer Science or a related discipline from an accredited college or university and seven years of software engineering experience supporting programs and contracts of similar scope, type, and complexity; or the experience-substitution option of eleven years of qualifying experience. The posting states that four additional years of similar-process software engineering experience may substitute for the bachelor's degree requirement.
Active TS/SCI clearance with Full Scope Polygraph completed within the past seven years and in scope.
U.S. citizenship; must maintain applicable security clearance and program access requirements throughout employment.

Nice To Haves

Experience developing serverless applications using AWS Lambda.
Experience building and optimizing ETL pipelines using AWS Glue and PySpark.
Experience with distributed NoSQL databases such as HBase, CloudBase/Accumulo, Google Bigtable, or comparable technologies.
Experience with the MapReduce programming model and technologies such as Hadoop, Hive, or Pig.
Experience working with Hadoop Distributed File System (HDFS).
Experience using JSON and/or BSON for data serialization.
Experience integrating AWS services into scalable data-processing architectures.
Experience designing and optimizing DynamoDB data models and queries.
Experience supporting large-scale data ingestion, transformation, and processing workflows.
Experience developing automated software testing and deployment processes.
Familiarity with cloud infrastructure, application monitoring, and performance optimization.
Experience working with version control systems and software configuration management tools.
Experience supporting Government, Department of Defense, or Intelligence Community mission environments.
The contract describes an additional one year of experience with distributed scalable NoSQL big-data stores, MapReduce technologies such as Hadoop, Hive, or Pig, HDFS, and JSON and/or BSON serialization. This requirement is identified for 25% of SWE1 labor-category staffing, and the posting says applicability to this opening should be confirmed.

Responsibilities

Design, develop, maintain, and enhance software applications using Python and PySpark.
Develop software components for distributed data processing, transformation, and integration; implement application logic and algorithms to meet functional and performance requirements.
Debug software and correct defects; modify existing software to add functionality, improve performance, or adapt to changing requirements.
Analyze system performance, data usage, application workflows, and operational requirements to identify improvements and develop software solutions.
Collaborate with technical teams to integrate software components into supported applications, systems, and operating environments.
Develop, configure, deploy, and maintain AWS Lambda functions and AWS Glue jobs for application and data-processing workflows.
Integrate applications with Amazon DynamoDB and other supported AWS services and data repositories.
Troubleshoot cloud application defects, data-processing failures, database connectivity issues, and integration problems; optimize AWS application performance and resource utilization.
Develop and maintain data extraction, transformation, processing, and integration workflows using Python, PySpark, and AWS Glue.
Develop and optimize database queries and application interfaces; support efficient data storage, retrieval, and processing.
Analyze user requirements and derive software design and performance requirements; confer with users and systems engineers to investigate problems and identify solutions.
Assist in developing and executing test procedures; review and test software against design requirements, validate modifications and integrations, and document test results, defects, and corrective actions.
Write and review software and system documentation, including functionality, configurations, dependencies, integrations, deployment procedures, data structures, interfaces, testing, and system changes.
Participate in requirements analysis, technical planning, software integration, troubleshooting, and operational validation activities.
Communicate development progress, technical findings, and troubleshooting results; recommend improvements to documentation and software development processes.
Serve as a team lead when appropriate to the software development process and assigned responsibilities.
Perform additional Software Engineering responsibilities as required to support mission objectives.

Benefits

Company contribution of 20% of each employee's gross compensation to a Simplified Employee Pension (SEP) IRA, with no employee matching requirement; contributions are fully vested from day one.
PTO plan of up to 200 hours annually, aligned with applicable state leave regulations, with flexibility to adjust PTO allocation at the start of each calendar year.
Voluntary medical plan options, some with a Health Savings Account (HSA).
Vision and dental benefits.
Life and AD&D benefits.
Short- and long-term disability benefits.
Hospital indemnity, accident, and critical illness insurance.
Optional identity theft and legal protection services.
Employee referral bonus eligibility up to $10,000.
Mobility among Wyetech-supported contracts.
Team-building events, including monthly lunches, a summer company picnic, and an annual holiday party.
Two complimentary branded clothing orders annually.