Remote Data Engineer | AWS Pipelines & Data Modeling

ICA.ai; Arlington (VA); Remote; USD 120,000 - 170,000; Full time

Benefits offered by this job

Remote work from anywhere in the U.S.

401(k) plan with company match

Paid Time Off and professional dev

Job summary

ICA, Inc. is seeking a Data Engineer to design, build, and maintain reliable data pipelines and platforms for analytical and AI initiatives. You will work with data scientists, analysts, and engineers to transform structured and unstructured data into dependable datasets in an AWS environment.

The role emphasizes Python, SQL, data modeling, and workflow orchestration, and includes a remote-friendly, nationwide hiring scope with strong collaboration requirements and documentation practices.

Qualifications

• 4+ years of professional data engineering experience including ETL/ELT development, data modeling and data architecture.
• Bachelor’s degree or higher in CS, engineering, math or related field.
• Strong SQL skills including complex joins, window functions, query optimization and troubleshooting.

Responsibilities

• Data Pipeline Development and Orchestration
• Data Modeling and Architecture
• Data Integration
• Data Infrastructure and Reliability
• Collaboration and Documentation

Skills

SQL

Python

Data modeling

Data architecture

Dagster

Apache Airflow

AWS Step Functions

PostgreSQL

OpenSearch

Apache Iceberg

DuckDB

Parquet

BananaDB

Git

CI/CD / IaC

Education

Bachelor’s degree or higher in computer science, engineering, mathematics, or related field

Tools

Dagster

Apache Airflow

AWS Step Functions

PostgreSQL

OpenSearch

Apache Iceberg

DuckDB

Parquet

Job description

ICA, Inc. is seeking a Data Engineer to design, build, and maintain reliable data pipelines and platforms for analytical and AI initiatives. You will work with data scientists, analysts, and engineers to transform structured and unstructured data into dependable datasets in an AWS environment.

The role emphasizes Python, SQL, data modeling, and workflow orchestration, and includes a remote-friendly, nationwide hiring scope with strong collaboration requirements and documentation practices.