Data Engineer / Python & SQL Developer

Data Engineer / Python & SQL Developer

Graham Technologies

Washington, DC • Remote

$117K - $140K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago


Job description

Graham Technologies is seeking a highly qualified Data Engineer / Python & SQL Developer to support the design, development, and deployment of enterprise data engineering and ETL solutions in a mission-focused environment. The successful candidate will possess advanced expertise in Python, SQL, and AWS cloud services, with experience building scalable data pipelines, designing databases, and supporting secure cloud-based data integrations. This role requires strong technical documentation skills and the ability to operate effectively within Agile delivery teams supporting Federal and DoD initiatives.

Location: Remote (Preference for Dayton, OH or Washington DC Metro Area)

Key Responsibilities:
  • Design, develop, and maintain data pipelines and ETL workflows using Python and SQL.
  • Build and support cloud-based data integration solutions utilizing AWS Lambda, AWS Glue, Amazon S3, and related AWS services.
  • Design database schemas and implement data modeling, normalization, optimization, and integrity controls.
  • Analyze business and technical requirements and translate them into scalable data solutions.
  • Develop and maintain technical documentation, interface specifications, data flow diagrams, and operational procedures.
  • Participate in Agile ceremonies including sprint planning, backlog refinement, and retrospectives.
  • Troubleshoot and resolve data quality, integration, and performance issues.
  • Conduct ETL testing, code reviews, and quality assurance activities.
  • Collaborate with architects, analysts, developers, and program leadership to support successful project delivery.
Required Qualifications:Experience
  • 5+ years of professional experience in Data Engineering, ETL Development, or Data Integration.
  • Advanced experience developing solutions using Python and SQL.
  • Hands-on experience with AWS Lambda, AWS Glue, Amazon S3, and related cloud services.
  • Experience designing and optimizing relational databases and data models.
  • Experience working in Agile environments utilizing Jira.
Education
  • Bachelor's degree in Computer Science, Information Systems, Engineering, or related field.
Skills
  • Python Development
  • Advanced SQL Development
  • ETL Design and Development
  • AWS Cloud Services
  • Data Modeling & Database Design
  • Technical Documentation
  • Problem Solving & Troubleshooting
Preferred Qualifications:Experience
  • Prior Department of Defense (DoD) or U.S. Air Force program experience.
  • Experience supporting secure government environments.
Certifications
  • AWS Certified Developer
  • AWS Certified Data Engineer
  • AWS Solutions Architect Associate
Knowledge
  • Secure data handling and compliance requirements.
  • Enterprise data integration architectures.
  • Mission-critical data environments.

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.