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Software Engineer 3 (Data Transformation & Analytics) with Security Clearance

Cornerstone Defense

Annapolis · On-site Full-time Senior $190k – $210k/yr 1mo ago

About the role

Title

Software Engineer 3 (Data Transformation & Analytics)

Location

Annapolis Junction, MD

Compensation Range

$190 - $210K

Clearance

Active TS/SCI w/ Polygraph needed to apply

Company Overview

Cornerstone Defense is the Employer of Choice within the Intelligence, Defense, and Space communities of the U.S. Government. Realizing early on that our most prized assets are our employees, we continually focus our attention on improving the overall work/life experience they have supporting the mission. Our Team is pushed every day to use their industry leading knowledge to provide end-to-end solutions to combat our nation's toughest and most secure problems. If you are looking for a place to not only be professionally challenged, but encouraged and supported by a company that cares, don't look any further than Cornerstone Defense.

Benefits Overview

  • Medical, Dental and Vision Plans
  • Generous PTO Policy
  • 401(k)
  • HSA and FSA options
  • Life and Disability Insurance
  • Tuition Reimbursement and Training
  • Perks at Work Discount Program
  • Referral Program
  • Leads Generation Program
  • CollegeAmerica 529
  • Fitness Reimbursement Program
  • Travel Assistance
  • Norton Lifelock Benefit Solutions
  • Life Planning Financial & Legal Services

Summary

The Software Engineer shall possess extensive expertise in dataflow design, data transport mechanisms, and Apache Spark based distributed processing. In this role, the Software Engineer will be responsible for designing, implementing, and optimizing data ingress and egress pathways to ensure efficient, scalable, and reliable processing of the organization's analytics workloads.

Qualifications

  • Master's degree in computer science or related discipline from an accredited college or university, plus five (5) years of experience as a SWE, in programs and contracts of similar scope, type, and complexity.
  • OR Bachelor's degree in computer science or related discipline from an accredited college or university, plus seven (7) years of experience as a SWE, in programs and contracts of similar scope, type, and complexity.
  • OR Nine (9) years of experience as a SWE, in programs and contracts of similar scope, type, and complexity.

Required Skills

  • Experience using the Linux CLI and Linux tools
  • Experience developing Bash scripts to automate manual processes
  • Recent software development experience using Python and Java
  • Experience with Distributed Big Data processing engines including Apache Spark
  • Experience using Jupyter Notebook
  • Experience with data wrangling and preprocessing using tools such as pandas, NumPy
  • Experience working with structured, semi-structured, and unstructured data such as Parquet, JSON, CSV, XML
  • Familiarity with data quality concepts, data validation, and anomaly detection
  • Experience with Git Source Control System

Desired Skills

  • Experience using Apache Airflow (DAG design, scheduling, operators, sensors) to orchestrate, schedule, and monitor complex workflows
  • Experience with SQL technologies such as MySQL, MariaDB, and PostgreSQL for querying, joining, and aggregating large datasets
  • Familiar with HPC Job Scheduling tools including Slurm
  • Experience using the Atlassian Tool Suite (JIRA, Confluence)

Requirements

  • Master's degree in computer science or related discipline from an accredited college or university, plus five (5) years of experience as a SWE, in programs and contracts of similar scope, type, and complexity.
  • Bachelor's degree in computer science or related discipline from an accredited college or university, plus seven (7) years of experience as a SWE, in programs and contracts of similar scope, type, and complexity.
  • Nine (9) years of experience as a SWE, in programs and contracts of similar scope, type, and complexity.

Responsibilities

  • Designing, implementing, and optimizing data ingress and egress pathways to ensure efficient, scalable, and reliable processing of the organization's analytics workloads.

Benefits

MedicalDentalVision PlansPTO401(k)HSAFSALife InsuranceDisability InsuranceTuition ReimbursementTrainingPerks at Work Discount ProgramReferral ProgramLeads Generation ProgramCollegeAmerica 529Fitness Reimbursement ProgramTravel AssistanceNorton Lifelock Benefit SolutionsLife Planning Financial & Legal Services

Skills

Apache SparkBashGitJavaJupyter NotebookLinuxNumPyPandasPythonXML

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