Data Engineer / Python & SQL Developer

Graham Technologies

Washington, DC • On-site

$129K - $155K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago

New


Job description

Graham Technologies is seeking a highly qualified Data Engineer / Python & SQL Developer to support the design, development, and deployment of data engineering and ETL solutions in a mission-focused environment. This role requires advanced expertise in Python and SQL, with demonstrated experience developing scalable data pipelines, cloud-based integrations, and backend data processing solutions using AWS services. The ideal candidate will also bring strong database design capabilities, technical documentation skills, and experience working within Agile delivery environments.
Location: Remote (Preference for Dayton, OH or Washington, DC Metro Area)
Key Responsibilities:
  • Design, develop, enhance, and maintain data pipelines, ETL workflows, and backend data processing solutions using Python and SQL
  • Implement and support cloud-based data engineering solutions leveraging AWS Lambda, AWS Glue, Amazon S3, and related AWS services
  • Design and maintain database schemas, tables, data models, and stored procedures
  • Apply database design best practices, including normalization, performance optimization, data integrity, and scalable architecture
  • Analyze business and technical requirements and translate them into secure, scalable, and maintainable data solutions
  • Develop and maintain technical documentation, including solution documentation, interface specifications, data flow diagrams, and operational procedures
  • Participate in Agile ceremonies and delivery activities, including backlog management, sprint planning, status tracking, and issue resolution using Jira
  • Troubleshoot and resolve data quality, integration, ETL, and performance issues across the solution environment
  • Test ETL pipelines and data workflows to validate functionality, reliability, and data quality
  • Perform peer code reviews for other Data Engineers and provide technical guidance as appropriate
  • Collaborate with developers, architects, analysts, program leadership, and other cross-functional stakeholders to support successful delivery outcomes
  • Required Skills:

Experience:
  • Proven advanced or expert-level experience developing solutions using Python and SQL
  • Hands-on experience designing, developing, and maintaining ETL pipelines and data workflows
  • Experience with AWS Lambda, AWS Glue, Amazon S3, and related cloud data integration technologies
  • Experience with database design, schema development, data modeling, table design, and stored procedure scripting
  • Experience troubleshooting data quality, integration, and performance issues
  • Experience testing ETL pipelines and conducting code reviews
  • Consultant/Senior Consultant or USDC/PDM/Specialist equivalent experience

Skills:
  • Strong understanding of database design and data architecture best practices
  • Strong Python development and SQL scripting capabilities
  • Ability to design scalable, maintainable, and secure data engineering solutions
  • Ability to produce clear and structured technical documentation for development and operational use
  • Strong analytical, troubleshooting, problem-solving, and communication skills
  • Ability to work independently and collaboratively in a fast-paced, deadline-driven environment
Desired Skills:
Experience:
  • Prior experience supporting Department of Defense (DoD) or U.S. Air Force programs
  • Experience working in complex enterprise data environments with multiple upstream and downstream integrations
  • Experience supporting mission-oriented technology programs
  • Experience working within secure or controlled government environments

Credentials / Clearance:
  • Ability to meet applicable government security and access requirements
Compensation:
At Graham Technologies, we believe in treating everyone with fairness and respect. Our compensation package is designed to ensure fair pay for work, reflecting our commitment to integrity.
Many IT companies offer similar services, but what truly sets us apart is our people! We care deeply about our employees and consistently show our appreciation-not just for the final outcomes, but also for the effort and dedication shown every step of the way. Additionally, our generous benefits package supports our team members in living fulfilling and prosperous lives.
Here are just a few highlights of what we offer:
  • Four Weeks of Accrued PTO in the First Year
  • Eleven Paid Federal Holidays
  • Comprehensive Health, Dental, Vision, and Life Insurance
  • 401(k) Plan with Annual Employer Contributions
  • Flexible Schedules
  • Reimbursements for Continued Education and Training
  • Why Graham Technologies?

Our core values define who we are:
  • Value our Customers
  • Care about our Employees
  • Passionate about Innovation
  • Believe in a Strong Work Ethic
  • Rely on Teamwork
  • Integrity Matters

Founded in 2007, GTech is a consulting services firm passionate about delivering tailored solutions that meet our clients' needs and maximize the value of their investments. We achieve this by providing top-notch professionals across the IT industry. Our team embodies integrity, commitment, and reliability, which are at the heart of everything we do.
We are also dedicated to fostering a culture of support for our employees-the lifeblood of our business. At Graham Technologies, we've built a family-oriented environment where team members are encouraged to maintain a healthy work-life balance, pursue their passions, and grow professionally through flexible schedules, continued education, and a strong sense of community.



Frequently asked questions

Q: What skills or qualities help someone succeed as a Data Software Engineer?

A: To succeed as a Data Software Engineer, key technical skills include proficiency in programming languages such as Python, Java, or C++, as well as expertise in data structures, algorithms, and software development methodologies like Agile. Additionally, strong soft skills like effective communication, problem-solving, and collaboration are crucial, as Data Software Engineers often work with cross-functional teams and stakeholders to design, develop, and deploy data-driven solutions. By combining technical expertise with strong soft skills, Data Software Engineers can effectively drive business outcomes, innovate, and adapt to the rapidly evolving landscape of data technology.

Q: What is the career path for a Data Software Engineer?

A: A Data Software Engineer's typical career progression involves starting as a Junior Software Engineer, where they focus on developing and maintaining data-driven software applications, and gradually advancing to roles such as Senior Software Engineer, Technical Lead, or Data Architect, where they oversee large-scale data systems and lead cross-functional teams. Key opportunities for skill development include learning programming languages like Python, SQL, and Java, as well as data science tools like Hadoop, Spark, and machine learning frameworks like TensorFlow and PyTorch. Long-term, Data Software Engineers may pursue leadership roles, such as Director of Engineering or Chief Technology Officer, or transition into related fields like data science, product management, or entrepreneurship.



Graham Technologies job posting for a Data Engineer / Python & SQL Developer in Washington, DC, with a map of Washington location.