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Job Description

Base-2 Solutions seeks a Software Engineer Level 1 to support the DAC (GEO + BAT Teams) effort in Annapolis Junction, MD. The position focuses on building and enhancing complex software systems, including data-intensive analytics and real-time capabilities.

Key Responsibilities

  • Analyze user requirements to establish software design and performance requirements.
  • Design and code new software, or modify existing software, to deliver new features.
  • Debug existing software and correct defects.
  • Integrate existing software into new or modified systems and operating environments.
  • Create straightforward data queries for existing or proposed databases and data repositories.
  • Recommend improvements to documentation and software development process standards.
  • Develop or implement algorithms to meet or exceed system performance and functional standards.
  • Assist with developing and executing test procedures for software components.
  • Write or review software and system documentation.
  • Develop software solutions by analyzing system performance standards, collaborating with users and system engineers, evaluating system flow and data usage, and investigating problem areas.
  • Serve as team lead at a level aligned with the software development process used on the specific project.
  • Modify existing software to resolve errors, adapt to new hardware, and improve performance.
  • Design, develop, and modify software systems using scientific analysis and mathematical models to predict and measure outcomes and impacts.
  • Design and implement complex interfaces and queries for database systems or data repositories.

Required Qualifications

  • Active TS/SCI with Full Scope Polygraph.
  • 7 years of experience as a Software Engineer on programs and contracts of similar scope, type, and complexity.
  • Bachelor’s degree in Computer Science or a related discipline from an accredited college or university.
  • Strong Java experience.
  • Experience with MapReduce.
  • Cloud experience.
  • Experience with distributed scalable Big Data Store (NoSQL) technologies such as HBase, CloudBase/Accumulo, Big Table, or similar.
  • Experience with the Map Reduce programming model and technologies such as Hadoop, Hive, Pig, or similar.
  • Experience with the Hadoop Distributed File System (HDFS).
  • Experience with serialization technologies such as JSON and/or BSON.

Technologies

  • Java
  • MapReduce
  • Cloud
  • HBase
  • CloudBase/Accumulo
  • Big Table
  • Hadoop
  • Hive
  • Pig
  • HDFS
  • JSON
  • BSON
  • NoSQL

Education and Experience Equivalency

  • High School Diploma/GED with 11 years of experience.
  • Associate’s Degree with 11 years of experience.
  • Bachelor’s Degree with 7 years of experience.
  • Master’s Degree with 7 years of experience.
  • PhD with 7 years of experience.

Benefits

  • Competitive fixed salary or hourly pay (based on experience, skills, location, and internal equity).
  • Employee referral bonuses up to $10,000 per hired referral.
  • Additional bonus opportunities for exceptional performance and contributions to business development and company growth (role-dependent).
  • 100% company-paid medical premiums for employees and eligible dependents.
  • Choose from multiple plan options with CareFirst, Kaiser, and UnitedHealthcare, including PPO, POS, HMO, and HSA-compatible plans.
  • 100% company-paid dental premiums for employees and eligible dependents.
  • 100% company-paid vision premiums for employees and eligible dependents.
  • 100% company-paid premiums for short-term disability.
  • 100% company-paid premiums for long-term disability.
  • 100% company-paid premiums for accidental death & dismemberment (AD&D).
  • 100% company-paid premiums for life insurance up to $200,000.
  • 401(k) with immediate vesting: 4% company match plus a 4% non-elective company contribution (8% total).
  • 401(k) pre-tax and Roth options.
  • Up to 20 days of flexible paid time off (PTO).
  • 11 paid floating holidays.
  • Flexible work schedules, including flex time and compressed work periods (contract and project-dependent).

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