Cloud Data Engineer: Scalable Pipelines & Analytics on AWS

Artifintech; Maryland; On-site; USD 83,000 - 124,000; Full time

Job summary

Artifintech is seeking a Data Engineer in Maryland to design and maintain scalable data pipelines and cloud-based data solutions. You will work with AWS services, orchestrate workflows with Airflow, and drive data quality and governance for complex datasets.

You will partner with data scientists and policy analysts to develop analytical environments, dashboards, and decision-support tools that enable data-driven policy research and outcomes analysis.

Qualifications

• Design, build, and maintain scalable data pipeline architectures.
• Develop cloud-based data solutions using AWS services (S3, EC2, Glue, EMR, RDS, Redshift).
• Build analytics environments supporting statistical analysis and ML.
• Collaborate with data scientists and policy analysts to support reproducible research.
• Ensure data quality and implement data governance controls.

Responsibilities

• Design, build, and maintain scalable data pipeline architectures.
• Develop cloud-based data solutions using AWS services such as S3, EC2, Glue, EMR, RDS, Redshift, Athena, Lambda, and DynamoDB.
• Build data orchestration workflows using Airflow, AWS Step Functions, or similar tools.
• Extract, transform, and process large datasets from multiple sources using SQL and big data tech.
• Develop analytics environments supporting statistical analysis, predictive modeling, ML, and evidence-based research.
• Collaborate with data scientists, research analysts, and policy analysts to support reproducible research and modeling.
• Build analytics tools, dashboards, reports, analytical models, and decision-support products.

Skills

SQL

AWS

Airflow

Big data

Data pipelines

Analytics

Tools

AWS Glue

Redshift

Lambda

S3

EC2

EMR

DynamoDB

Job description

Artifintech is seeking a Data Engineer in Maryland to design and maintain scalable data pipelines and cloud-based data solutions. You will work with AWS services, orchestrate workflows with Airflow, and drive data quality and governance for complex datasets.

You will partner with data scientists and policy analysts to develop analytical environments, dashboards, and decision-support tools that enable data-driven policy research and outcomes analysis.