Data Software Engineer

ADTM Adenza Technology de Mexico S de RL de CVPhiladelphia, PA
Hybrid

About The Position

As a Senior Software Developer (Data Engineering), you will play a critical role in building and maintaining the data solutions that power regulatory reporting across U.S. equity and options markets. You will thrive in this position if you are analytical, solutions-oriented, and collaborative — someone who takes ownership of complex technical problems and delivers reliable, scalable outcomes in a fast-paced environment.

Requirements

  • Bachelor's degree in Computer Science, Software Engineering, Information Systems, or a related field, or equivalent practical experience.
  • 2+ years of software development experience with strong programming skills in Scala or/and Java.
  • Experience developing backend services, data-intensive applications, or ETL/data processing solutions.
  • Experience working in SQL and Linux/Unix environments, including scripting and troubleshooting.
  • Strong analytical and problem-solving skills, with the ability to navigate ambiguous requirements and collaborate effectively with technical stakeholders.
  • Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future.

Nice To Haves

  • Experience with large-scale data processing technologies and cloud platforms, particularly AWS.
  • Experience with Apache Spark, Amazon EMR, Hadoop, or other big data technologies.
  • Familiarity with AI-assisted development tools that enhance engineering productivity.
  • Background in financial markets, regulatory reporting, or trading systems environments.

Responsibilities

  • Design, develop, and maintain Java and Scala-based backend applications that support large-scale regulatory reporting workflows.
  • Analyze technical and business requirements and translate them into reliable, scalable software solutions.
  • Build, enhance, and support data processing and ETL workflows that ingest, transform, and deliver large volumes of trading and market data.
  • Troubleshoot production issues, identify root causes, and implement durable, long-term fixes across distributed data platforms.
  • Partner with cross-functional teams to deliver high-quality solutions using cloud and big data technologies.

Benefits

  • 401(k) program with 6% employer match
  • Employee Stock Purchase Program with 15% discount
  • Student loan repayment program up to $10k
  • Company paid life and disability plans
  • Generous paid time off
  • Comprehensive medical, dental and vision coverage
  • Health spending account with employer contribution
  • Paid flex days to support mental wellbeing
  • Gym membership discounts
  • Paid parental leave
  • Fertility benefits
  • Paid bereavement leave
  • Company gift matching program
  • Employee resource groups
  • Paid volunteer days
  • Education Assistance Program
  • Robust job skills training and Professional development opportunities
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