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Data Integration Engineer

Paradigm Technology is seeking an M&A Data Integration Engineer for our financial services client in Birmingham, AL. This is a long-term contract, possible contract to hire opportunity.


Our clients’ primary goal is to serve their clients, one another, and their communities. They have an intense client focus that is at the center of everything they do. Our client is a growing organization expanding through mergers and acquisitions and are looking for an M&A Data Integration Engineer who is excited to build, scale, and own modern data solutions. Design and build Python and Spark based data pipelines in Azure Databricks, playing a key role in how acquired data is migrated, validated, and operationalized across the business. As the company scales, this role will have increasing ownership, technical influence, and career growth.

Key Responsibilities

  • Build and maintain Python and PySpark data pipelines in Azure Databricks to support M&A data migrations and integrations.
  • Develop automated ETL/ELT workflows for financial and operational systems.
  • Implement data validation, reconciliation, and data quality checks to ensure accuracy and audit readiness.
  • Support onboarding of acquired entities through system mapping, transformation logic, and migration execution.
  • Work with APIs, cloud storage, databases, and flat files to integrate diverse data sources.
  • Collaborate with IT, Finance, Operations, and Compliance to translate business needs into scalable data solutions.
  • Document data pipelines, Databricks notebooks, and integration standards as the platform matures.
  • Track work and dependencies using project management tools (e.g., Monday.com).

Required

  • 1–4 years of Python development experience, preferably in a data engineering or backend role.
  • Hands-on experience with Azure Databricks and PySpark.
  • Strong SQL skills and experience working with relational or analytical databases.
  • Experience building data pipelines, migrations, or system integrations.
  • Curiosity, coachability, and a strong desire to grow technical depth and ownership.


Preferred

  • Experience supporting M&A integrations or working with financial / transactional data.
  • Familiarity with Azure data services (ADLS, Azure SQL, Synapse).
  • Experience with Data Lake and modern data architecture concepts.
  • Exposure to CI/CD, automation, or data platform tooling.
  • Familiarity with portfolio management systems (Orion, Tamarac, Black Diamond).

Key Competencies

  • Strong problem-solving and software engineering fundamentals.
  • Automation-first mindset with attention to data quality and reliability.
  • Ability to learn quickly and take on increasing responsibility.
  • Strong communication and collaboration skills.
  • Comfort working in a fast-paced, evolving environment.


Why Join Paradigm

At Paradigm, integrity drives innovation. You'll collaborate with curious, dedicated teammates, solving complex problems and unlocking immense data value for leading organizations. If you seek a place where your voice is heard, growth is supported, and your work creates lasting business value, you belong at Paradigm.

Learn more at https://pt-corp.com/

Policy Disclosure:

Paradigm maintains a strict drug-free workplace policy. All offers of employment are contingent upon successfully passing a standard 5-panel drug screen. Please note that a positive test result for any prohibited substance, including marijuana, will result in disqualification from employment, regardless of state laws permitting its use. This policy applies consistently across all positions and locations.


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