Hybrid Data Engineer: Scalable Pipelines for AI & Analytics

SMXTech Pty Ltd.; Hanover (MD); On-site; USD 103,000 - 172,000; Full time

Benefits offered by this job

Health insurance

Paid leave

Retirement

Job summary

SMX in the United States is seeking a Data Engineer to design, build, and maintain scalable data architectures powering AI, analytics, and reporting. Collaborate with Analysts, AI Engineers, and Software Engineers to transform raw data into accessible pipelines.

Responsibilities include creating ELT/ETL pipelines across cloud and on‑prem, implementing data quality and security, and optimizing data delivery for AI/ML models. You will work with cross‑functional teams to meet data requirements.

Qualifications

• Bachelor's degree in Computer Science, IT, or Data Engineering.
• 4+ years in data engineering or backend software roles.
• Security clearance required (Secret or higher).
• Strong Python, SQL, and Java skills.
• Experience with Snowflake & AWS Redshift.
• Familiarity with Spark, Databricks, Kafka.
• Experience with Azure Data Factory or AWS Glue.
• Experience with Apache Airflow & multi-cloud data patterns.
• Hands-on with AWS/GCP/Azure cloud environments.
• Experience integrating structured and unstructured data sources.

Responsibilities

• Design, construct, install, test, and maintain scalable data systems and ELT/ETL pipelines.
• Build data pipelines from diverse sources using cloud and on-prem tech.
• Implement data quality, lineage, security, and metadata management.
• Prepare data for AI/ML models, analytics, and semantic search.
• Automate ingestion and transformation; monitor pipelines for cost/performance.
• Collaborate with Analysts, AI Engineers, and Software Engineers to meet data needs.

Skills

Python

SQL

Java

Spark

Databricks

Kafka

Airflow

Multi-cloud

Data modeling

Performance tuning

Education

Bachelor's degree in Computer Science / IT / Data Engineering

Tools

Azure Data Factory

AWS Glue

Apache Airflow

Snowflake

AWS Redshift

Databricks

Kafka

Job description

SMX in the United States is seeking a Data Engineer to design, build, and maintain scalable data architectures powering AI, analytics, and reporting. Collaborate with Analysts, AI Engineers, and Software Engineers to transform raw data into accessible pipelines.

Responsibilities include creating ELT/ETL pipelines across cloud and on‑prem, implementing data quality and security, and optimizing data delivery for AI/ML models. You will work with cross‑functional teams to meet data requirements.