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Data engineer in risk and compliance
Job in
Oklahoma City, Oklahoma County, Oklahoma, 73116, USA
Listed on 2026-10-10
Listing for:
HireHi
Full Time
position Listed on 2026-10-10
Job specializations:
-
IT/Tech
Data Engineering
Job Description & How to Apply Below
Solvd Inc. is an AI-native consulting and technology services firm delivering enterprise transformation across cloud, data, software engineering, and artificial intelligence. Following the acquisition of Tooploox, the company provides end-to-end delivery from strategic advisory and solution design to custom AI development and enterprise-scale implementation.
Задачи:- 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 structured and unstructured data sources
- Work extensively with AWS data services, including EMR, Redshift, S3, Glue, Lambda, and Kinesis
- Build high-throughput, low-latency systems for real-time or near-real-time decision-making
- 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
- Streamline reporting, analytics, and data preparation processes
- Replace manual workflows with automated, repeatable systems
- Support performance tuning, monitoring, and platform optimization
- Bachelor’s degree in Computer Science, Engineering, Mathematics, or a similar field
- 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 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
- Nice to have:
Experience with AWS data services such as Redshift, S3, Glue, EMR, Kinesis, Firehose, and Lambda - experience with non-relational data stores
- experience collaborating with cross-functional risk, compliance, or analytics teams
- strong understanding of data governance, quality, and security best practices
Global team with collaboration opportunities across continents and cultures;
Inclusive environment focused on continuous learning, innovation, and ethical AI standards.
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