Senior Data Engineer

About Company Droisys is an innovation technology company focused on helping companies accelerate their digital initiatives from strategy and planning through execution. We leverage deep technical expertise, Agile methodologies, and data-driven intelligence to modernize systems of engagement and simplify human/tech interaction. Amazing things happen when we work in environments where everyone feels a true sense of belonging and when candidates have the requisite skills and opportunities to succeed. At Droisys, we invest in our talent and support career growth, and we are always on the lookout for amazing talent who can contribute to our growth by delivering top results for our clients. Join us to challenge yourself and accomplish work that matters Data Engineer Level III/IV Denver, CO Day1 Onsite Rate- $70/hr on c2c 13- 15 Years of Experience Main Skils: Step Functions , AWS, Python , Airflows Responsibilities How You’ll Make an Impact • • Design and implement new software functionality that is testable, performant, and meets business and technical requirements without oversight • • Participate in the design and integration of dependent systems including APIs, clients, data stores, and CI/CD pipelines • • Analyze and evaluate market products to identify strengths and weaknesses, informing Spectrum’s technology roadmap • • Lead triage for critical production issues, manage hotfixes, resolve system integration challenges, and drive RCA activities for escaped defects • • Collaborate with MLOps, data science and data insights teams to build AI/ML workflows. • • Enforce approved code patterns and best practices across application domains, visualizing and closing technical debt • • Mentor Software Developers I-V, participate in candidate interviews, and provide technical consulting across internal groups • • Manage multiple interconnected projects or features, deliver technical documentation, cut release branches, and provide deployment artifacts to operations • • Continuously improve application performance, scalability, resilience, and availability while identifying opportunities for optimization Qualifications Required Qualifications Education • • Master’s degree in Information Technology, Computer Science, or related field or equivalent combination of education and experience • 6+ years database Experience • • management systems experience • • 6+ years coding, testing and designing software experience • • 6+ years software development methodology experience • Skills • • Ability to read, write, speak and understand English • • Expert-level experience designing, developing, and maintaining scalable data pipelines and ETL/ELT workflows. Proficient on data orchestration tooling like Airflow or AWS Step Functions. • • Strong programming skills in Python and Scala with experience optimizing complex queries and data transformations for performance and cost efficiency • • Strong understanding of database systems and data processing frameworks (e.g., SQL, NoSQL, Spark, PySpark, Databricks). • • Familiarity with cloud platforms such as AWS and related services (e.g., AWS Lambda, S3, EC2, EventBridge, Athena). • • Experience working within the Hadoop ecosystem (HDFS, Hive, YARN, or related technologies). • • Deep understanding of data modeling, distributed systems, and performance optimization for Big Data. • • Implement best practices for code quality, testing, and documentation to ensure the reliability, maintainability, and scalability of our pipelines • • Experience with data quality frameworks, data governance practices, and implementing monitoring and alerting solutions for data pipelines • • The ability to deliver work at a steady, predictable pace to achieve commitments, deliver complete solutions but release them in small batches, and identify and negotiate important tradeoffs. • • Strong problem solver who ensures systems are built with longevity and creates innovative ways to resolve issues. • • Experienced in production operations of developed software, software development methodologies, and applying appropriate software design patterns to the situation • • Ability to work with little instruction on day-to-day work, general instructions on new assignments, use time and resources effectively, prioritizing work, establishing and meeting timelines without oversight, and delivering multiple tasks at the same time • • Ability to clearly document, present and explain work to technical and business partners Droisys is an equal opportunity employer. We do not discriminate based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law. Droisys believes in diversity, inclusion, and belonging, and we are committed to fostering a diverse work environment