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Data Engineer

NextStep Recruiting

NextStep Recruiting has partnered with a financial services organization to identify a Data Engineer (Risk Analytics) in the Dallas, TX area. This role is a contract position and will support the buildout of a scalable risk data infrastructure and reporting environment.

This position is ideal for a hands-on data engineer with a strong technical foundation who enjoys building systems from the ground up and working closely with business stakeholders. The right candidate is analytical, detail-oriented, and capable of translating complex financial data into actionable insights.

Required:
  • Strong experience designing data architecture, data models, and scalable database solutions
  • Hands-on experience building ETL/ELT pipelines for both real-time and batch data processing
  • Proficiency in Python and SQL within modern data engineering environments
  • Experience with cloud-based data platforms and tools such as Microsoft Fabric, AWS, or similar
  • Ability to work directly with business stakeholders to translate requirements into technical solutions
Preferred:
  • Experience supporting risk analytics or financial data environments
  • Familiarity with trading workflows or risk concepts, such as market, credit, or operational risk
  • Experience building automated reporting or dashboard solutions using BI tools
  • Background in financial services or fintech environments
  • Strong problem-solving skills with the ability to simplify complex data challenges

This is a strong opportunity to play a key role in building a modern data foundation that supports risk visibility and business decision-making. If you enjoy building, optimizing, and driving impact through data, this could be worth a conversation.

NextStep Recruiting provides equal employment opportunities (EEO) to all employees and applicants regardless of race, color, or applicable state and local laws governing nondiscrimination in employment in every location where the company has facilities.
Vacancy posted 3 days ago
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