Senior Dataflow Software Engineer (Software Engineer Level 3 – SWE3)

Wyetech is seeking an experienced Senior Dataflow Software Engineer (SWE3) to design, develop, and optimize scalable data processing solutions supporting mission-critical analytical operations. This position focuses on dataflow architecture, data transport mechanisms, Apache Spark-based distributed processing, and the development of efficient data ingress and egress pathways.

The ideal candidate will possess strong Python and Java development experience, expertise in Apache Airflow and Apache Spark, and a solid understanding of data engineering, workflow orchestration, and large-scale data processing. The Software Engineer will collaborate with data engineers, system engineers, and mission stakeholders to deliver reliable, high-performance data solutions.

Required Skills/Experience:

• Experience using Linux command-line interfaces (CLI), system utilities, and troubleshooting tools.

• Experience developing Bash scripts to automate manual processes and improve operational efficiency.

• Recent hands-on software development experience using Python and Java.

• Experience with Apache Airflow, including Directed Acyclic Graph (DAG) design, scheduling, operators, and sensors to orchestrate and monitor complex workflows.

• Experience developing and optimizing distributed big data processing solutions using Apache Spark.

• Familiarity with SQL database technologies such as MySQL, MariaDB, and PostgreSQL for querying, joining, and aggregating large datasets.

• Experience using Jupyter Notebook for analytical development, experimentation, and data exploration.

• Experience with data wrangling, transformation, and preprocessing using pandas, NumPy, or comparable technologies.

• Experience working with structured, semi-structured, and unstructured data, including Parquet, JSON, CSV, and XML formats.

• Familiarity with data quality practices, validation techniques, and anomaly detection.

• Proficiency with Git for source code management, version control, and collaborative software development.

Desirable Skills:

• Familiarity with High-Performance Computing (HPC) job scheduling technologies, including Slurm.

• Experience using Atlassian collaboration and development tools, including Jira and Confluence.

The Software Engineer designs, develops, tests, deploys, documents, maintains, and enhances complex software systems based on documented requirements. These systems may include processing-intensive analytics, large-scale data repositories, real-time applications, data transport services, and distributed computing solutions.

The engineer applies software engineering methodologies, configuration management practices, and system integration principles while supporting software quality, performance optimization, and technical leadership.

Responsibilities and Capabilities:

• Design, develop, and optimize dataflow architectures and data transport mechanisms supporting large-scale analytical workloads.

• Implement and maintain efficient data ingress and egress pipelines to ensure reliable, scalable data processing.

• Develop, schedule, and monitor complex workflows using Apache Airflow, including DAGs, operators, and sensors.

• Build and optimize distributed data processing applications using Apache Spark.

• Develop and maintain Python and Java applications supporting data engineering and analytical operations.

• Create Bash scripts and automation tools to streamline data processing and operational workflows.

• Integrate relational databases and diverse data formats into distributed analytical pipelines.

• Perform data preprocessing, transformation, validation, and quality assurance to support accurate analytical results.

• Analyze system requirements and develop software solutions that meet performance, scalability, and resource constraints.

• Troubleshoot software defects, optimize application performance, and support system integration and deployment.

• Collaborate with software engineers, data engineers, and technical stakeholders to improve data processing efficiency and reliability.

• Develop and execute software testing procedures, maintain technical documentation, and implement process improvements.

• Provide technical leadership, oversee development activities, and ensure quality control of software deliverables.

Qualifications:

Candidates must meet one (1) of the following education and experience combinations:

• Master's degree in Computer Science or a related discipline from an accredited college or university, plus five (5) years of Software Engineering experience.

• Bachelor's degree in Computer Science or a related discipline from an accredited college or university, plus seven (7) years of Software Engineering experience.

• Nine (9) years of Software Engineering experience supporting programs and contracts of similar scope, type, and complexity.

Relevant experience must include software design, development, integration, testing, deployment, and maintenance within comparable technical environments.

Security Clearance and Additional Requirements:

• Security Clearance: Clearance and polygraph requirements must be confirmed for this specific opening.

At Wyetech, you’ll be at the center of an award-winning corporate culture, breaking technological barriers and solving real-world problems for our federal government customers. We are committed to hiring the best of the best, and in return, we offer a world-class, truly unique employee experience that is rare within our industry.

Wyetech believes in generously supporting employees as they prepare for retirement. The company automatically contributes 20% of each employee's gross compensation to a Simplified Employee Pension (SEP) IRA, with no requirement for employee matching. All contributions are fully vested from day one, ensuring immediate ownership of retirement funds.

Additional benefits include:

Wyetech provides a generous PTO plan of up to 200 hours annually, aligned with applicable state leave regulations. Employees have the flexibility to adjust their PTO allocation at the start of each calendar year, ensuring it meets their evolving needs.

Full-time employees have the option to participate in a variety of voluntary benefit plans including:

• A Choice of Medical Plan Options, some with Health Savings Account (HSA)

• Vision and Dental

• Life and AD&D Benefits

• Short and Long-Term Disability

• Hospital Indemnity, Accident, and Critical Illness Insurances

• Optional Identity Theft and Legal Protection Services

• Employee Referral Bonus Eligibility up to $10,000

• Mobility Among Wyetech-supported Contracts

• Various contract and work locations throughout Maryland, Virginia, Colorado, Texas, Utah, Alaska, Hawaii and OCONUS

• Various team-building events throughout the year, such as monthly lunches, summer company picnic, and an annual holiday party.

• Employees receive two complimentary branded clothing orders annually.

Hourly Pay Range: $98.47–$133.35

Hourly pay rates listed for this position serve as a general guideline and are not a guarantee of compensation. Compensation will vary dependent upon factors including but not limited to: Government contract rates; education; relevant prior work experience, knowledge, skills, and competencies; certifications; and geographic location. Hourly pay rates reflect the pre-benefit gross wage amounts.

Wyetech, LLC is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Affirmative Action Statement:

Wyetech, LLC is committed to the principles of affirmative action in all hiring and employment for minorities, women, individuals with disabilities, and protected veterans.

Accommodations:

Wyetech, LLC is committed to providing an inclusive and accessible hiring process. If you need any accommodations during the application or interview process, please contact Brittney Wood. at 844-WYETECH x727 or staffing@wyetech.com. We are happy to provide reasonable accommodations to ensure equal access to all candidates.

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