Data Engineer

TL;DR

Data Engineer: Develop and deploy pipelines and platforms that organize disparate structured and unstructured data from IoT, ML, and AI sources with an accent on scalable data stores, ETL/ELT workflows, and big data processing. Focus on creating software for data retrieval, parsing, processing, and supporting analytical exploration in mission-critical projects like national intelligence and fraud detection.

Location: San Antonio, TX, USA (Remote with possible in-person occasions at Booz Allen or customer facilities)

Salary: $61,900 - $141,000 (annualized USD)

Company

Consulting firm delivering advanced technology solutions for mission-driven projects in defense, intelligence, and research.

What you will do

• Build and deploy data pipelines and platforms to organize and make disparate data meaningful for clients.
• Develop scalable ETL/ELT workflows for reporting, analytics, and business analysis.
• Create software for retrieving, parsing, and processing structured and unstructured data.
• Develop scripts and programs to convert data into usable formats and support scaling, monitoring, and operating data platforms.
• Collaborate with multi-disciplinary teams of analysts, engineers, developers, and data consumers in agile environments.
• Assess, design, develop, and maintain scalable platforms for analytical exploration and data examination.

Requirements

• 2+ years of experience with programming languages including C++, Java, or Python
• Experience developing and maintaining scalable data stores for big data business analysis
• Experience creating software for retrieving, parsing, and processing structured/unstructured data
• Experience with scalable ETL/ELT workflows for reporting and analytics
• Experience working in collaborative, cross-functional teams
• Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements
• Bachelor’s degree

Nice to have

• Experience with SQL or Scala in application development
• Experience with public clouds: AWS, Azure, or Google Cloud
• Experience with distributed tools: Spark, Databricks, Hadoop, Hive, AWS EMR, Kafka
• Experience with real-time data and streaming applications
• Experience with NoSQL: MongoDB or Cassandra
• Experience with data warehousing: AWS Redshift, MySQL, Snowflake
• Experience with UNIX/Linux and Shell scripting
• Experience with Agile practices

Culture & Benefits

• Comprehensive health, life, disability, financial, and retirement benefits
• Paid leave, professional development, tuition assistance, work-life programs, dependent care
• Recognition awards for performance and values demonstration
• People-first culture emphasizing collaboration, with cameras on during virtual meetings
• Full-time employees eligible for full benefits package