Data Engineer

Solvd, Inc.; Georgia; Hybrid; 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 a rapidly growing AI-native consulting and technology services firm delivering enterprise transformation across cloud, data, software engineering, and artificial intelligence. We work with industry-leading organizations to design, build, and operationalize technology solutions that drive measurable business outcomes.

Following the acquisition of Tooploox, a premier AI and product development company, Solvd now offers true end-to-end delivery—from strategic advisory and solution design to custom AI development and enterprise-scale implementation. Our capability centers combine deep technical expertise, proven delivery methodologies, and sector-specific knowledge to address complex business challenges quickly and effectively.

Solvd is looking for a highly skilled Data Engineer to help design and build modern data platforms that support large-scale risk and compliance initiatives for enterprise clients. In this role, you will architect and implement scalable data systems, real-time pipelines, and analytics capabilities that transform complex datasets into actionable insights.

You will partner with cross-functional teams—including data scientists, software engineers, and product stakeholders—to enable reliable, high-quality data solutions. This role requires strong technical depth in big data technologies, AWS services, and distributed systems, along with the ability to understand business needs and contribute to strategic decision-making.

What you will do

Data Architecture and Platform Development

• 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 structured and unstructured data sources

Cloud Data Engineering

• Work extensively with AWS services including EMR, Redshift, S3, Glue, Lambda, Kinesis, and related data tools
• Build high-throughput, low-latency systems that support real-time or near-real-time decision making

Collaboration and Delivery

• Partner with data scientists, analysts, and engineering teams to deliver reliable and well-documented datasets
• Translate business requirements into technical specifications and scalable data solutions
• Mentor team members and contribute to best practices and reusable frameworks within Solvd

Automation and Continuous Improvement

• Streamline reporting, analytics, and data preparation processes
• Replace manual workflows with automated, repeatable systems
• Support ongoing performance tuning, monitoring, and platform optimization

Basic qualifications

• Bachelor’s degree in Computer Science, Engineering, Mathematics, or similar
• 3 or more years of hands-on experience in data engineering or related fields
• Strong proficiency in SQL and data modeling for analytics and warehousing
• Experience building ETL or ELT pipelines at scale
• Experience with big data technologies such as Hadoop, Hive, Spark, HBase, or EMR
• Knowledge of distributed systems and data storage principles
• Basic scripting skills in Python or Scala
• Familiarity with machine learning concepts

Preferred qualifications

• Experience with AWS data services such as Redshift, S3, Glue, EMR, Kinesis, Firehose, and Lambda
• Experience working with non-relational data stores such as document, key-value, column-family, or graph databases
• Experience collaborating with cross-functional risk, compliance, or analytics teams
• Strong understanding of data governance, quality, and security best practices

When you join Solvd, you\'ll

• Shape real-world AI-driven projects across key industries, working with clients from startup innovation to enterprise transformation.
• Be part of a global team with equal opportunities for collaboration across continents and cultures.
• Thrive in an inclusive environment that prioritizes continuous learning, innovation, and ethical AI standards.

Ready to make an impact?

If you're excited to build things that matter, champion responsible AI, and grow with some of the industry’s sharpest minds. Apply today and let’s innovate together.

Solvd is an equal opportunity employer.