Data Engineer: Scalable Pipelines for AI & Analytics

SMX; Hanover (MD); On-site; USD 103,000 - 172,000; Full time

Benefits offered by this job

Health insurance

Paid leave

Retirement plan

Job summary

SMX is seeking a Data Engineer to design, build, and maintain scalable data architecture powering AI, analytics, and reporting. You will transform raw data into high-quality pipelines and collaborate with Analysts, AI Engineers, and Software Engineers to enable enterprise-wide data usability.

The role emphasizes ELT/ETL, cloud and on-prem systems, data modeling, and data governance to ensure reliability, performance, and security across the data lifecycle.

Qualifications

• Bachelor's degree or higher in a related field.
• Experience with scalable data architectures is a plus.
• Strong proficiency in Python, SQL, and Java.

Responsibilities

• Design, construct, install, test, and maintain highly scalable data management systems and robust ELT/ETL pipelines across cloud and on-prem systems.
• Build infrastructure for extraction, transformation, and loading of data from diverse sources using cloud technologies.
• Implement monitoring, data quality checks, lineage tracking, and metadata management.

Skills

Python

SQL

Java

Snowflake

AWS Redshift

Spark

Databricks

Kafka

Airflow

Azure Data Factory

AWS Glue

Data modeling

Data warehousing

Education

Bachelor's degree in Computer Science/Information Technology/Data Engineering

Tools

Snowflake

AWS Redshift

Databricks

Apache Airflow

Azure Data Factory

AWS Glue

Kafka

Spark

Job description

SMX is seeking a Data Engineer to design, build, and maintain scalable data architecture powering AI, analytics, and reporting. You will transform raw data into high-quality pipelines and collaborate with Analysts, AI Engineers, and Software Engineers to enable enterprise-wide data usability.

The role emphasizes ELT/ETL, cloud and on-prem systems, data modeling, and data governance to ensure reliability, performance, and security across the data lifecycle.