Python Developer - (Systems Modernization)

Ouzinkie Native Corporation; Northern (KY); Hybrid; USD 145,000 - 150,000; Full time

Job summary

Ouzinkie Native Corporation is seeking a Senior Data Engineer to lead the modernization of core data processing systems. You will translate complex legacy SAS logic into robust, high‑performance Python solutions and build scalable pipelines that handle large datasets in a cloud‑native environment.

You will collaborate with DSD IT Specialists in an integrated team, implement automated testing and data validation, optimize performance with Dask and multiprocessing, and ensure data products are

Qualifications

• Ability to read and interpret SAS code.
• Experience with Parquet, SQL, JSON, and larger-than-memory datasets.
• Experience with PySpark, multiprocessing, Dask, and code profiling tools.
• Experience in Linux environments and cloud-native resources (e.g., AWS).
• Strong SQL skills, specifically with PostgreSQL integration.
• Version control (Git), unit testing, and technical documentation.
• Experience using Python to read and reformat large data files.
• Experience improving code performance, including profiling and refactoring code to identify bottlenecks and overhead, preferably in production environments.
• Experience writing high-quality code that is well-documented and easy to read, use, maintain, and extend.
• Ability to perform basic Linux commands as an end user.
• Experience in data validation in a statistical processing environment.
• Must pass the Census Bureau Security Investigation / background investigation.
• Must obtain and maintain any necessary security access and/or background checks.

Responsibilities

• Analyze existing SAS-based systems and re-implement logic in Python, ensuring functional parity while improving maintainability, scalability, and performance.
• Design and develop end-to-end data pipelines to ingest, clean, validate, and transform diverse data formats—including SAS datasets, Parquet, JSON, and SQL—using larger-than-memory processing techniques.
• Profile, optimize, and refactor code to eliminate bottlenecks and improve performance. Implement parallel computing strategies using libraries such as Dask and multiprocessing to efficiently process production-scale workloads.
• Develop Python solutions that interface with PostgreSQL for high-volume data storage, retrieval, and processing.
• Implement automated testing, data validation, and quality assurance processes to ensure the integrity, accuracy, and reliability of critical data assets throughout the data lifecycle.
• Maintain high standards for code quality by producing well-documented, readable, maintainable, and extensible code. Participate in peer reviews and knowledge sharing to promote engineering best practices.
• Collaborate with DSD IT Specialists and other stakeholders to implement efficient, scalable Python solutions that meet functional and technical requirements.
• Partner with DSD stakeholders to validate business and technical requirements, troubleshoot implementation issues, and support the successful modernization of legacy systems.
• Attend branch meetings and communicate technical concepts, project updates, and recommendations clearly and effectively.
• Maintain regular communication with the team as required.
• Maintain regular and punctual attendance.
• Perform other duties as assigned.

Skills

Analytical thinking

Problem solving

Communication

Team collaboration

Education

Bachelor’s degree in computer science or related field

Tools

Python

PostgreSQL

SAS

Parquet

JSON

SQL

PySpark

Dask

multiprocessing

Git

AWS

Linux

Job description

SUMMARY

Lead the modernization of core data processing systems. Responsible for translating complex legacy SAS logic into robust, high-performance Python solutions. Build and maintain scalable data pipelines that handle large-scale datasets, ensuring that our data products are accurate, well-documented, and optimized for a cloud-native environment. Work with DSD IT Specialists in an integrated team environment.

ESSENTIAL DUTIES & RESPONSIBILITIES

• Analyze existing SAS-based systems and re-implement logic in Python, ensuring functional parity while improving maintainability, scalability, and performance.


• Design and develop end-to-end data pipelines to ingest, clean, validate, and transform diverse data formats—including SAS datasets, Parquet, JSON, and SQL—using larger-than-memory processing techniques.


• Profile, optimize, and refactor code to eliminate bottlenecks and improve performance. Implement parallel computing strategies using libraries such as Dask and multiprocessing to efficiently process production-scale workloads.


• Develop Python solutions that interface with PostgreSQL for high-volume data storage, retrieval, and processing.


• Implement automated testing, data validation, and quality assurance processes to ensure the integrity, accuracy, and reliability of critical data assets throughout the data lifecycle.


• Maintain high standards for code quality by producing well-documented, readable, maintainable, and extensible code. Participate in peer reviews and knowledge sharing to promote engineering best practices.


• Collaborate with DSD IT Specialists and other stakeholders to implement efficient, scalable Python solutions that meet functional and technical requirements.


• Partner with DSD stakeholders to validate business and technical requirements, troubleshoot implementation issues, and support the successful modernization of legacy systems.


• Attend branch meetings and communicate technical concepts, project updates, and recommendations clearly and effectively.


• Maintain regular communication with the team as required.


• Maintain regular and punctual attendance.


• Perform other duties as assigned.

SUPERVISORY RESPONSIBILITIES

None.

MINIMUM QUALIFICATIONS

• Ability to read and interpret SAS code.


• Experience with Parquet, SQL, JSON, and larger-than-memory datasets.


• Experience with libraries like PySpark, multiprocessing, Dask, and code profiling tools.


• Experience in Linux environments and cloud-native resources (e.g., AWS).


• Strong SQL skills, specifically with PostgreSQL integration.


• Version control (Git), unit testing, and technical documentation.


• Experience using Python to read and reformat large data files.


• Experience improving code performance, including profiling and refactoring code to identify bottlenecks and overhead, preferably in production environments.


• Experience writing high-quality code that is well-documented and easy to read, use, maintain, and extend.


• Ability to perform basic Linux commands as an end user.


• Experience in data validation in a statistical processing environment.


• Must pass the Census Bureau Security Investigation / background investigation.


• Must obtain and maintain any necessary security access and/or background checks.

DESIRED QUALIFICATIONS & SKILLS

• Five (5) to seven (7) years of related experience with back-end and front-end development, relational database and developing applications or equivalent combination of experience.


• Bachelor’s degree in computer science or related field is preferred.


• Experience in cloud computing, preferably with Amazon Web Services (AWS), is a plus.


• Statistical Analysis System (SAS) programming experience is a plus.

WORK SCHEDULE

Full-time. May be required to work additional hours as needed to complete assignment or project.

TRAVEL

None.

DRIVING REQUIREMENTS

None.

WORK ENVIRONMENT

Work is expected to be remote; however, the company reserves the right to require onsite work.

PHYSICAL DEMANDS

Position consists of sitting for long periods of time, using hands/ fingers, handling, reaching with hands and arms, speaking or translating. Periods of walking, standing, bending, kneeling, stooping, crouching, and lifting equipment weighing up to 10 pounds. Moderate to extended periods of office work with heavy periods of computer usage. May be assigned occasional to moderate periods of analytical tasks requiring extensive reasoning abilities. It is Katmai’s business philosophy and practice to provide reasonable accommodations, according to applicable state and federal laws, to all qualified individuals with physical or mental disabilities.

Compensation & Benefits:

• Pay: 145,000 - 150,000


• Eligible Benefits: Medical, Dental, Vision, Life & AD&D Insurance, Long-Term & Short-Term Disability Insurance, 401(k) Savings Plan, Employee Assistance Program (EAP), Vacation & Paid Personal Time, 11 Paid Federal Holidays, and Leave of Absence.

Compliance:

We are a VEVRAA Federal Contractor.

We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to age, race, color,religion, sex, sexual orientation, gender identity or national origin, disability status, protected veteran status, marital status, familial status or any other characteristic protected by law.

Preference will be given to Ouzinkie Shareholders, Descendants of Shareholders and Spouses of Shareholders in accordance with Title 43 U.S. Code 1626(g) and Title 42 U.S. Code 2000e - 2(i).