$112.40K - $134.90K/yr
Other
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Job description
Typical task breakdown: daily standup, collaborate with peers, work independently to complete sprint commitments, participate in agile ceremonies. Candidates local to Peoria would be onsite hybrid. 100% remote candidates ok - please note preference at top of resume Interaction with team: Daily stand up meetings with team – working mainly with Helios Platform adoption team Work environment: Mostly remote, deadline driven projects
Candidate RequirementsEducation & Experience Required: Bachelor's in computer science required plus 5+. Masters degree with 4+ years acceptable as well. Preferred: AWS cloud certifications Technical Skills (Required) *exp with Object oriented programming - Python (2+ years) *AWS (3+ years overall exp) lambda and/or glue, EMR, S3 *SQL (3+ years) * 2+ years exp in test driven development, unit test, integration testing, regression testing (Desired) *Event driven framework exp *Kinesis or Kafka exp *familiar with working in Agile methodology Soft Skills (Required) strong written and verbal communication, experience working as a member of agile engineering team, ability to commit to and deliver work within allocated sprint window.
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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.