Data Engineer (Remote, Continental United States)

ICA.ai•Arlington, VA

1d•Remote

About The Position

The Data Engineer designs, builds, and maintains reliable data pipelines and platforms for ICA, a trusted advisor to federal agencies. Working with data scientists, analysts, and software engineers, this role transforms structured and unstructured data into dependable datasets for analytics, applications, and AI initiatives. The position emphasizes Python, SQL, data modeling, and workflow orchestration in an AWS environment. This is a remote position, and candidates residing in the DMV area are preferred. Remote work is available from anywhere within the continental United States.

Requirements

At least 4 years of professional experience in data engineering, including ETL or ELT development, data modeling, and data architecture.
Bachelor’s degree or higher in computer science, engineering, mathematics, or a related field.
Strong SQL skills, including complex joins, window functions, query optimization, and troubleshooting.
Proficiency in Python for data ingestion, transformation, integration, and automation.
Hands-on experience operating production workflows with Dagster, Apache Airflow, AWS Step Functions, or a comparable orchestration platform.
Experience designing relational and analytical data models, including keys, relationships, normalization, and dimensional modeling.
Experience with relational databases such as PostgreSQL and cloud data infrastructure, preferably AWS.
Experience implementing data quality checks, testing, logging, and monitoring for production pipelines.
Experience with infrastructure as code, CI/CD, or AWS GovCloud and other regulated environments.
Working knowledge of Git and collaborative software development practices.
Ability to troubleshoot independently, communicate technical tradeoffs, and collaborate across disciplines.

Nice To Haves

Experience deploying or operating containerized workloads with Kubernetes, particularly Amazon EKS.
Experience developing REST APIs with FastAPI or a similar Python framework.
Experience with OpenSearch for indexing, search, or analytics.
Familiarity with Apache Iceberg, DuckDB, and columnar data formats such as Parquet.

Responsibilities

Develop and orchestrate data pipelines.
Design data models and architecture.
Integrate data.
Support data infrastructure and reliability.
Collaborate with colleagues and document work.

Benefits

Competitive salary and benefits.
Health insurance with employer-paid premiums for one of three offered medical plans.
Dental insurance.
Vision insurance.
Health Spending Account.
Flexible Spending Account.
Life and disability insurance.
401(k) plan with company match.
Paid time off, including vacation, sick leave, and holidays.
Education and professional development assistance.
Remote work from anywhere within the continental United States.