Data Engineer: Real-Time Cloud Pipelines for Risk & Compliance

Solvd, Inc.; Georgia; On-site; USD 110,000 - 160,000; Full time

Job summary

Solvd, Inc. is seeking a Data Engineer to design and build modern data platforms for risk and compliance workloads at enterprise scale. You will architect scalable data systems and real-time pipelines, translating business needs into robust data solutions.

Collaborate with data scientists, engineers, and product stakeholders; mentor teammates; contribute to best practices and reusable frameworks, leveraging AWS services and big data tech.

Qualifications

• Bachelor's degree in Computer Science, Engineering, Mathematics or similar.
• 3+ years of hands-on data engineering experience.
• Strong SQL and data modeling for analytics and warehousing.
• Experience building ETL/ELT pipelines at scale.
• Experience with Hadoop, Hive, Spark, HBase or EMR.
• Knowledge of distributed systems and data storage principles.
• Basic scripting in Python or Scala.
• Familiarity with ML concepts.

Responsibilities

• Design, build, and optimize scalable data infrastructure for risk and compliance workloads.
• Develop batch and streaming pipelines using modern big data technologies.
• Implement robust ETL and ELT workflows across diverse data sources.
• Collaborate with data scientists, analysts, and engineers to deliver reliable datasets.

Skills

SQL

Data modeling

Python/Scala scripting

Big data concepts

Cloud data engineering

Education

Bachelor's degree in Computer Science, Engineering, Mathematics

Tools

Hadoop

Spark

Hive

EMR

Redshift

S3

Glue

Kinesis

HBase

Job description

Solvd, Inc. is seeking a Data Engineer to design and build modern data platforms for risk and compliance workloads at enterprise scale. You will architect scalable data systems and real-time pipelines, translating business needs into robust data solutions.

Collaborate with data scientists, engineers, and product stakeholders; mentor teammates; contribute to best practices and reusable frameworks, leveraging AWS services and big data tech.