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About
Responsibilities
Design, build, and maintain scalable data pipelines, ETL/ELT workflows, and integrations across cloud and on-prem systems.
Prepare and optimize data for AI/ML models, semantic search, analytics, and mission applications.
Implement data quality checks, validation, lineage tracking, and metadata management.
Collaborate with AI engineers and analysts to ensure datasets meet requirements.
Automate ingestion and transformation processes using industry-standard tools and patterns.
Support API strategy, data modeling, and domain-driven data structures.
Troubleshoot pipeline issues and optimize for performance and cost.
Required Skills & Experience
3+ years of hands‑on data engineering experience.
10+ years of technical professional experience.
Strong proficiency in building data pipelines using tools such as Python, Spark, Databricks, Azure Data Factory, AWS Glue, or similar.
Experience integrating structured and unstructured data sources.
Knowledge of SQL, schema design, data modeling, and cloud‑based storage patterns.
Desired Skills & Experience
Experience supporting AI/ML pipelines, vectorization, or embedding generation.
Experience with data governance, access controls, or sensitive data protection.
Exposure to DevOps/CI‑CD patterns for data workflows.
Some key components of our robust benefits include health insurance, paid leave, and retirement.
The proposed salary for this position is $135,100 - $227,000 USD.
Selected applicant may be subject to a background investigation and/or education verification.
SMX is an Equal Opportunity employer including disabilities and veterans.
SMX does not sponsor a new applicant for employment authorization or immigration related support for this position.
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Languages
- English
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