CLOUD DATA ENGINEER

Ignite • Full-time • Dayton, OH, US • 13h ago

Job Description

Ignite is an ISO 9001:2015 and CMMI Services Level 3 certified, Service-Disabled Veteran-Owned Small Business (SDVOSB), headquartered in Huntsville, AL. By design, Ignite is a provider of professional services to customers in educational, federal, and commercial industries and in every action seeks to be the preeminent provider within this business space. Ignite upholds our values of competency, collaboration, innovation, reliability, and results through everything we do.

Ignite is currently seeking driven, detail-oriented Cloud Data Engineer to join our team! This position can be filled in Dayton, OH, Huntsville, AL, St. Louis, MO or Remote. Contingent on contract award.

Responsibilities

Responsibilities include, but are not limited to:

Analyze usage metrics, health scores, and customer feedback to identify trends, risks, and opportunities for improvement.
Translate complex data sets (using SQL, Python, Tableau, or Excel) into actionable insights that inform strategy.
Monitor key metrics to proactively identify at-risk customers and assist in developing retention strategies.
Collaborate with product teams to improve features based on user data and refine internal customer success workflows.

Job Requirements

Job Requirements And Qualifications

Bachelor’s degree in Computer Science, Engineering, Data Science, or a related STEM field (Master’s preferred).
5+ years of relevant work experience in data engineering, database administration, or object storage management.
U.S Citizenship with active TS/SCI Clearance
Must possess an IAT Level II certification (e.g., Security+, CCNA Security, CySA+)
Proven experience managing databases and object storage solutions across on-premises, cloud, inter-region, and inter-cloud platforms.
Expertise in cloud platforms such as AWS, Google Cloud, or Microsoft Azure.
Hands-on experience with object storage technologies (e.g., AWS S3, MinIO, Ceph) and data transformation pipelines (e.g., Apache Airflow, Argo Workflows, Python).
Strong proficiency in Python, SQL, and modern data engineering frameworks.
Familiarity with both relational (e.g., Oracle, PostgreSQL) and non-relational databases (e.g., MongoDB, Cassandra).
Experience with data tiering, record/object-level authorization, and secure data handling.
Ability to handle multiple projects and deadlines in a fast-paced environment.

Preferred Qualifications

Experience supporting Intelligence Community (IC) mission programs.
Knowledge of data catalogs, search/indexing, and discovery tools.
Experience with streaming data (e.g., Kafka) and event-driven architectures.
Familiarity with DevSecOps, security scanning, and accreditation processes.
Understanding of analytics, machine learning (ML), or exploitation workflows consuming large datasets.
Prior experience modernizing or migrating legacy data systems.

Security Clearance Requirements

Must have an active TS/SCI Security Clearance or the ability to obtain one.

Education Requirements

Bachelor’s degree in relevant discipline.

Other Requirements

Must be a US citizen and be able to obtain and hold an active Security Clearance

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