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60 Dice Data Engineer Jobs Hiring Near You

Neos Consulting

Data Architect

Austin, TX · On-site

$63.25 - $81.25/hr

This position will collaborate closely with Data Engineering, DevOps, Data Modeling, Analytics, and ... DICE #LI-IC

Neos Consulting

Data Architect

Austin, TX · On-site +1

$63.25 - $81.25/hr

This position will collaborate closely with Data Engineering, DevOps, Data Modeling, Analytics, and ... DICE #LI-IC

CGI

Senior Data & ML Feature Engineer

Strongsville, OH

$105K - $126K/yr

We are seeking an experienced Data & ML Feature Engineer with strong expertise in Python and big ... Ability to translate business use cases into feature logic #LI-SG2 #DICE Other Information: CGI is ...

CGI

Senior Data & ML Feature Engineer

Strongsville, OH

$97K - $132K/yr

Senior Data & ML Feature Engineer Category: Analytics and Emerging Digital Technologies Main ... Ability to translate business use cases into feature logic #LI-SG2 #DICE Other Information: CGI is ...

CGI Inc.

Senior Data & ML Feature Engineer

Strongsville, OH · On-site

$97K - $132K/yr

Senior Data & ML Feature Engineer Category: Analytics and Emerging Digital Technologies Main ... Ability to translate business use cases into feature logic #LI-SG2 #DICE Other Information: CGI is ...

CGI Inc.

Data Analyst

Dallas, TX · On-site

Data Analyst Category: Software Development/ Engineering Main location: United States, Texas ... S. is $57,100.00 - $154,300.00. #LI-SG2 #DICE CGI's benefits are offered to eligible professionals ...

CGI

Data Analyst

Dallas, TX

Collaborate with business users, data architects, developers, and project teams to gather and ... S. is $57,100.00 - $154,300.00. #LI-SG2 #DICE CGI's benefits are offered to eligible professionals ...

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Senior Azure Data Engineer - Compliance & Surveillance Platforms #3605704

Senior Azure Data Engineer - Compliance & Surveillance Platforms #3605704

Axiom Path

Charlotte, NC • Hybrid

$75 - $82/hr

Full-time

Posted 13 days ago

Job description

Be Part Of A High-Performing Team:

Join a global financial technology environment supporting compliance, surveillance, and fraud-prevention platforms for a major banking organization. This team works in a highly regulated, fast-moving setting where data engineering, platform reliability, and production support directly support risk management, legal, and regulatory obligations. The role partners closely with business stakeholders, technical teams, and external vendors to enhance Azure Databricks and compliance surveillance solutions that help protect the organization and its customers.

What's In Store For You:

Engagement: W2 only (no C2C/1099)

This is a long-term hybrid opportunity based in Charlotte, NC, supporting critical compliance technology initiatives. The role offers exposure to enterprise-scale Azure data engineering, vendor platform integration, production support, system upgrades, and compliance-driven technology delivery.

How You Will Make An Impact

  • Design, build, and enhance scalable data pipelines using Azure Databricks, Azure Data Lake, Python, SQL, and related cloud data technologies.
  • Support compliance and surveillance platforms by developing custom rules, workflows, configurations, and integrations.
  • Partner with business users, vendors, support teams, and technical stakeholders to translate requirements into reliable data engineering solutions.
  • Troubleshoot complex issues across environments, perform root cause analysis, and improve system stability.
  • Develop and execute unit and integration test cases to validate enhancements, releases, and upgrades.
  • Support production systems in a high-transaction environment, including escalation support for critical issues.
  • Participate in system implementations, go-lives, and occasional evening or weekend deployment support.
  • Create technical documentation for requirements, design, implementation, testing, and support processes.

Are you an experienced Azure Data Engineer ready to make an impact in compliance technology?

  • 5+ years of experience implementing enterprise technologies, data platforms, or vendor-based systems.
  • Strong hands-on experience with Azure Databricks and Azure Data Lake.
  • Strong Python development experience for data engineering, automation, and platform customization.
  • Strong SQL experience, including SQL Server, Oracle/PL-SQL, stored procedures, and relational database concepts.
  • Experience building ingestion, transformation, integration, and storage pipelines in complex enterprise environments.
  • Experience with IT development, system design, data analysis, and integration across multiple platforms.
  • Familiarity with compliance, surveillance, fraud detection, or corporate compliance systems is strongly preferred.
  • Actimize experience is preferred.
  • Power BI and Power Apps experience is a plus.
  • Bachelor’s degree in Computer Science or a related field is preferred.
  • Strong analytical, troubleshooting, communication, and documentation skills.
  • Ability to manage multiple priorities independently in a fast-paced, regulated environment.

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