Data Engineer

Premier provider of tailored IT solutions and staffing services nationwide, specializing in IT support, cybersecurity, and custom development.
Philadelphia, PA, USA
Data
Senior Software Engineer
Hybrid
5+ years of experience
Enterprise SaaS

Description For Data Engineer

DMV IT Service, headquartered in Washington, DC, is seeking an experienced Data Modeler and ETL Specialist for their Philadelphia office. This hybrid role focuses on leading the design and development of data models and ETL processes for diverse financial data sets. The position requires extensive experience with AWS technologies and robust data handling skills.

As a Data Engineer, you'll be responsible for designing and implementing sophisticated data models that support various financial data sets, working closely with product management and economic research teams. Your role will involve ensuring data models effectively support transactional, analytical, and operational needs while maintaining alignment with business objectives.

The ideal candidate brings 5+ years of AWS experience and 3+ years working with dbt and orchestration tools. Strong programming skills in Python or Java are essential, along with expertise in big data technologies like Hadoop, Spark, and Kafka. Knowledge of data governance tools such as Monte Carlo and Atlan is required.

DMV IT Service offers the opportunity to work with a premier provider of IT solutions, focusing on cybersecurity, custom development, and expert IT support. The company's commitment to aligning top-tier talent with organizations makes this an excellent opportunity for experienced data professionals looking to make a significant impact in a dynamic environment.

The hybrid work arrangement in Philadelphia provides flexibility while maintaining collaborative opportunities with the team. This role offers the chance to work on challenging projects while contributing to the company's mission of enhancing business efficiency and security through technological excellence.

Last updated 2 days ago

Responsibilities For Data Engineer

  • Design and develop conceptual, logical, and physical data models for financial data sets
  • Collaborate with product management and economic research teams to translate data requirements into models
  • Ensure data models support transactional, analytical, and operational needs
  • Design and implement ETL processes to integrate data from multiple sources into data lakes
  • Develop and maintain detailed documentation for data models and ETL processes

Requirements For Data Engineer

Python
Java
Kafka
  • 5+ years of experience with AWS technologies (S3, Redshift, RDS, etc.)
  • 3+ years of experience with dbt and orchestration tools (Airflow, Prefect, or Dagster)
  • Strong programming skills in Python or Java
  • Familiarity with big data technologies (Hadoop, Spark, Kafka, Delta Lake, Iceberg, Arrow, Data Fusion)
  • Familiarity with data governance tools (Monte Carlo and Atlan)
  • Excellent problem-solving and analytical skills
  • Strong communication and interpersonal skills

Interested in this job?

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