Mission-Driven Data Engineer — Scalable Pipelines & Cloud

Jobtailor; Charlottesville (VA); On-site; USD 120,000 - 180,000; Full time

Job summary

Jobtailor seeks a data engineer to build and operate scalable data platforms on mission-driven projects. You will develop data pipelines, organize structured and unstructured data, and guide cross-functional teams to deliver robust analytics capabilities.

The role requires hands-on experience with Python, SQL, ETL workflows, and cloud data services, plus a DoD clearance or ability to obtain one. You will work in a collaborative environment across analysts, engineers, and data users.

Qualifications

• 3+ years of experience supporting operations and maintenance for secure DoD information management systems
• 3+ years of experience creating software for retrieving, parsing, and processing structured and unstructured data
• 3+ years of experience with Python, SQL, Scala, or Java
• 3+ years of experience building scalable ETL/ELT workflows for reporting and analytics
• Experience using version control tools such as GitLab, GitHub, or Bitbucket
• Ability to obtain DoD 8570 or 8140 IAT Level II Certification within 30 days of hire date
• Experience with Terraform, Kubernetes, or Docker
• Experience with UNIX/Linux systems and scripting (Bash, Ansible, YAML)
• Experience with a public cloud (AWS/Azure/GCP)
• Experience with distributed data tools (Spark, Databricks, Hadoop, Hive, Redshift)
• Experience with NoSQL (MongoDB, Cassandra)
• Experience with data warehousing (Redshift/MySQL/Snowflake)
• Experience with Agile development
• Experience with Atlassian tools
• Bachelor's degree in Data or IT related field

Responsibilities

• Build advanced technology solutions and implement data engineering activities on mission-driven projects
• Deploy and develop pipelines and platforms that organize disparate data
• Guide a multi-disciplinary team of analysts, data engineers, developers, and data consumers
• Perform analytical exploration and data examination
• Manage assessment, design, building, and maintenance of scalable platforms for clients
• Develop scripts to convert various data types into usable formats
• Support project teams in scaling, monitoring, and operating data platforms

Skills

Python

SQL

Scala

Java

ETL / ELT

GitLab/GitHub/Bitbucket

Data exploration

Collaboration

Education

Bachelor's degree in Data or IT

Tools

Terraform

Kubernetes

Docker

UNIX/Linux scripting

AWS Redshift

Databricks/Hadoop/Hive (Big Data tools)

Jira & Confluence (Atlassian)

Job description

Jobtailor seeks a data engineer to build and operate scalable data platforms on mission-driven projects. You will develop data pipelines, organize structured and unstructured data, and guide cross-functional teams to deliver robust analytics capabilities.

The role requires hands-on experience with Python, SQL, ETL workflows, and cloud data services, plus a DoD clearance or ability to obtain one. You will work in a collaborative environment across analysts, engineers, and data users.