$130 - $190/hr
Other
Posted 5 days ago
Job description
We are looking for a Senior Software Data Engineer – Python-- to design, build, and optimize
cloud-based, serverless data pipelines and infrastructures. You will leverage your expertise in
Python, SQL, AWS, and Infrastructure as Code to deliver scalable and secure data solutions.
This role is ideal for someone with strong collaboration skills, a passion for innovation, and
proven experience working with large-scale, enterprise-level projects.
- Design and implement serverless data pipelines using AWS services
- Build and maintain data lakes, ETL/ELT workflows, and data catalogs
- Develop and maintain automated CI/CD pipelines and Infrastructure as Code (AWS
- CDK/CloudFormation)
- Ensure compliance with data governance, security, and quality standards
- Collaborate with data science teams to deliver accessible and reliable data solutions
- Mentor junior engineers, promote knowledge sharing, and champion best practices
s
- High client satisfaction and quality feedback
- Scalable, secure, and high-performing data solutions delivered on time
- Reduction in deployment errors and faster delivery cycles through automation
- Active contribution to team knowledge-sharing and continuous learning
- 5+ years of development experience in Python
- Strong expertise in AWS cloud services (Lambda, S3, Glue, Athena)
- Experience with Infrastructure as Code (AWS CDK/CloudFormation)
- Solid foundation in ETL/ELT processes, data modeling, and pipeline design
- Excellent written and verbal English communication skills
- Experience with AWS Lake Formation, AWS Datazone, EventBridge, Step Functions
- CI/CD pipeline implementation and API integration experience
- Strong problem-solving and analytical abilities
- Effective communicator across technical and non-technical teams
- Proactive, accountable, and adaptable in dynamic environments
- Curiosity and passion for continuous learning and innovation
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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.
