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hackajob

Python Developer in Data Engineering

hackajob
United States · Full-time · Entry
hackajob is collaborating with mThree to connect them with exceptional tech professionals for this role.

Want to work in technology in the financial industry?

We are looking for someone to be a part of a dynamic team for one of our clients as a Python Developer in Data Engineering. Our client is growing Data Engineering capabilities within our Reliability & Production Engineering (RPE) organization as part of the transformation of their Technology.

About Mthree

Since 2010, mthree has been helping clients solve their business and technological challenges. We are a technology and business consultancy with a global workforce delivering significant business and IT projects in some of the largest financial services organizations worldwide.

  • Core Services
  • Consulting and Advisory
  • Managed Services
  • Alumni Graduate Program
  • Alumni Pro Program

We have a global presence and are experts in delivering exceptional quality to our client base, providing consulting services across Risk, Regulation & Compliance; Vendor Products; Application Support; Application Development; Cyber & Information Security; Data Science and DevOps areas.

Our Expert program offers experienced professionals access to top roles in tech, finance, aviation and insurance. Join us to work on groundbreaking technology projects, from international trading platforms to critical applications for leading airlines. We recruit professionals who are eager to fast-track their careers in technology or operations within prestigious global organizations.

We Would Like To Talk To You If You

  • Are interested in distributed systems and working with highly scalable and reliable services.
  • Like to work in a fast-moving environment and you aren't afraid to change things to make them better.
  • Enjoy new technological challenges and solving hard problems.
  • Are keen to learn from exposure to a fluid environment while helping clients with their challenges.
  • Believe a team working well together is smarter than the single smartest person on that team.
  • Aspire to grow as a person and as a teammate.
  • Have grit, drive, and a deep sense of ownership.

As an intermediate-level Python developer in data engineering, you'll design, build, and maintain data pipelines to extract, transform, and load data, ensuring data quality and scalability while collaborating with cross-functional, cross-regional teams.

Your responsibilities will include, but not be limited to Software & Data pipeline Development:

  • Designing, developing, and implementing software applications, scalable data pipelines using Python and related technologies.
  • Optimize data workflows to handle large datasets efficiently.
  • Writing clean, efficient, and maintainable code that meets industry standards.
  • Developing and managing databases and applications.
  • Implement data extraction, transformation, and loading (ETL) processes.
  • Writing and documenting effective APIs.
  • Testing software at scale to ensure responsiveness and efficiency.
  • Ensure data accuracy, consistency, and completeness.
  • Identify and resolve data issues or anomalies.

Collaboration And Communication

  • Collaborating with team members, stakeholders, and other developers to define project requirements and develop technical solutions.
  • Participating in code reviews to ensure code quality and best practices.

Problem Solving And Debugging

  • Troubleshooting, debugging, and upgrading software.
  • Identifying and resolving performance issues and bugs.

Documentation

  • Contributing to the documentation of code and projects.

Skills And Qualifications

  • Proficiency in Python, with a strong understanding of object-oriented programming principles.
  • Data Structures and Algorithms: Familiarity with common data structures and algorithms and corresponding usage in practical solutions.
  • Data : Experience with data libraries(e.g., Django, Flask, NumPy, Pandas).
  • Familiarity with(e.g., PostgreSQL, MySQL) and/or NoSQL databases (e.g., MongoDB).
  • Familiarity with data storage technologies (e.g., data lakes, distributed file systems).
  • Knowledge of ETL tools (e.g., Apache Airflow, Apache Kafka).
  • Experience with orchestration tools & cloud computing platforms (e.g., Ansible, Terraform/Kubernetes, AWS, Azure, GCP).
  • Familiarity with modern CI/CD frameworks and tools (e.g., Git, Jenkins, Github)
  • Hands on experience with Linux
  • Demonstrated ability to troubleshoot problems and debug to identify root cause.
  • Demonstrate ability to think outside of the box.
  • Experience: 2-4 years of experience in software development with a focus on Python & data

Key Skills

Ranked by relevance

python apache etl data structures postgresql jenkins ansible storage django devops nosql mysql flask cloud numpy cicd git aws
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United States

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Posted
Jun 08, 2025
Type
Full-time
Level
Entry
Location
New York
Company
hackajob

Industries

Software Development

Categories

Engineering Information Technology

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