Sr. Data Engineer (Ai)

TL;DR

Sr. Data Engineer (AI): Building a scalable cloud-based data platform for wildfire prevention, detection, and response across the United States with an accent on rapid ingestion, storage, and analysis of large volumes of operational and sensor data. Focus on solving complex data infrastructure challenges and enabling analytics and applications to operate at scale.

Location: Full-time remote within the United States.

Salary: $107,300 - $185,840 annually in most major metropolitan areas in California, Massachusetts, and New York; $93,200 - $164,450 in California, Massachusetts, and New York (excluding most major metropolitan areas), Colorado, Hawaii, Illinois, Maryland, Minnesota, New Jersey, Vermont, Washington or Washington DC.

Company

hirify.global applies its passion for purposeful innovation to keep people safe and solve the world's most complex challenges.

What you will do

• Design, build, and operate data pipelines that ingest, transform, catalog, and serve data for the EMBERPOINT data platform and its AI/ML, Unified HMI, and command‑and‑control (C2) applications.
• Work closely with the AWS Infrastructure Architect, AI/ML Engineers, Software Factory, MBSE team, and the Advisory Board to ensure data quality, security, and performance across the end‑to‑end mission workflow.
• Integrate databases with streaming ingestion pipelines and data lake services to enable real-time analytics, operational applications, and predictive wildfire intelligence.
• Collaborate with data engineering, platform engineering, and application development teams to ensure the platform delivers high availability, strong performance, and secure data management.

Requirements

• 3+ years of professional data‑engineering experience.
• SQL and Oracle experience.
• ≥1 years designing and operating AWS‑native data lakes for mission‑critical or high‑volume workloads.
• B.S. Computer Science, Data Science, Information Systems, or related field (M.S. preferred).
• AWS knowledge.
• Proven experience in SAFe/Agile environments, working with cross‑functional teams (AI/ML, UX, Systems Engineering).
• Must be a US Citizen for consideration due to government security clearance requirements.

Nice to have

• Deep knowledge of S3, Glue, Lake Formation, Kinesis, MSK, Redshift, Athena, QuickSight, Lambda, Step Functions, IAM, KMS.
• Hands‑on with AWS Glue, Spark, DBT, Airflow (or Managed Workflows for Apache Airflow).
• Proficient in Python (PySpark, Boto3), Scala, SQL, and Shell/Bash.
• Experience integrating MBSE data from Cameo → DOORS NEXT into data‑lake pipelines.
• Knowledge of AI/ML data pipelines (SageMaker Feature Store, model‑artifact versioning).
• Experience with data ingestion, Object Storage and data paths, ingest orchestration, ETL, relational and non-relational database with autonomousDB.

Culture & Benefits

• Flexible work schedules, including a 4x10 hour day, 3 days off per week schedule for this position.
• Medical, Dental, and Vision coverage available for employees who opt-in.
• 401(k) plan with generous matching and company contributions.
• Support for professional development through mentoring, internal & external educational programs, networking, skills enhancement, and career-building programs.
• Generous parental leave policies.
• Paid Time Off, paid holidays, and paid time off for jury duty and military obligations.