Cloud Software Engineer III (Data & Analytics Engineering)

Position Overview

The Cloud Software Engineer will support mission-focused data analytics initiatives by developing scalable solutions to extract meaning and value from structured and unstructured data. This role involves leveraging statistical methods and machine learning techniques to identify patterns, behaviors, and insights across diverse datasets. The engineer will collaborate with customer teams and cross-functional stakeholders to design data-driven solutions, develop ingestion and characterization strategies, and present insights through visualization tools.

Key Responsibilities

• Design and implement cloud-based data processing and analytics solutions
• Develop strategies to extract insights from structured and unstructured data
• Apply statistical and/or machine learning methods to identify patterns and trends
• Build and maintain data ingestion, transformation, and enrichment pipelines
• Develop methodologies for automated data characterization and metadata analysis
• Utilize query and visualization tools (e.g., DataXplorer, GMAE) to present insights
• Analyze and define requirements for new and existing data types
• Collaborate with mission stakeholders to align technical solutions with operational needs

Minimum Qualifications

• Active TS/SCI with Polygraph clearance
• Bachelor’s degree in Computer Science or related discipline
  • Substitution: Four (4) additional years of Software Engineering experience on similar projects may be substituted for a bachelor’s degree
• Eight (8) years of Software Engineering experience
  • Alternative: Twelve (12) years of experience without a degree

Required Technical Skills

• Experience with scripting languages such as Python and Scala
• Experience with big data processing frameworks (e.g., Apache Pig, MapReduce, Apache Spark)
• Strong knowledge of structured data formats (XML, CSV, JSON)
• Experience with data enrichment and data conversion methods
• Familiarity with data ontologies and schema design
• Experience working with databases and large-scale data systems
• Cloud Developer Certification (required; will be verified during interview process)

Desired Qualifications

• Experience with Java and Python for analytics development
• Familiarity with Apache NiFi for data flow automation
• Experience with data visualization and query tools (e.g., DataXplorer, GMAE)
• Understanding of machine learning workflows and analytical modeling
• Experience working in cloud-based environments supporting data platforms

Benefits and Compensation:

Health and Insurance Coverage:

• Comprehensive medical, dental, and vision insurance for full-time employees and eligible dependents.
• Employer-paid premiums for select high-quality medical plans, with additional plan options available to meet varying needs.
• Employer-paid dental and vision coverage.
• Employer-paid basic life insurance, accidental death and dismemberment (AD&D), short-term disability, and long-term disability coverage.
• Optional supplemental insurance coverage available for employees and eligible dependents.

Retirement Benefits:

• Employer contributions to a 401(k) retirement plan equal to 10% of salary each pay period.
• No employee contribution required to receive employer contributions.
• Immediate vesting of employer contributions upon hire.

Incentives and Bonuses:

• Employee referral bonus program, including initial and retention incentives.
• Annual performance-based bonus eligibility.

Leave and Work-Life Balance:

• Four (4) weeks of paid annual leave.
• Eleven (11) paid federal holidays, with flexible scheduling options where permitted.
• Telework opportunities based on role and contract requirements.
• Additional administrative leave for inclement weather or operational disruptions where telework is not feasible.
• Bereavement leave for immediate family members.
• Parental leave for birth or adoption, with potential eligibility for short-term disability benefits.

Professional Development:

• Annual education reimbursement (up to $5,250) for accredited degree programs relevant to job responsibilities.
• Additional funding for professional development, including training, certifications, and industry conferences.

Equipment and Allowances:

• Reimbursement (up to $1,000 every two years) for home office and technical equipment.
• Annual allowance for professional apparel and related items.

Wellness and Employee Support:

• Monthly wellness stipend to support fitness memberships, programs, equipment, or recreational activities.
• Access to programs and resources supporting physical, mental, and financial well-being.

Recognition and Culture:

• Formal employee recognition program with opportunities for awards and incentives.
• Participation in employee engagement initiatives, team events, and organizational activities designed to promote collaboration and workplace satisfaction.

Additional Information:

• Candidates may be required to complete technical assessments as part of the selection process.

Equal Opportunity Employer

We are an Equal Opportunity Employer and consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, or disability.