BA/BS in Computer Science or related field. Design, develop, and maintain scalable data processing solutions across on-premises and cloud environments using……
Hands on experience with schema design and data modeling, with an unmistakable passion for elegant and intuitive dataset design. Come be a part of what’s next.…
You will drive key technical projects and play a pivotal role in elevating our engineering capabilities. Minimum Qualifications - Bachelor's degree or above,……
Drive Engineering Excellence: Write clean, maintainable, well-tested code and lead by example through rigorous code reviews, architectural and data-modeling……
Ownership of all aspects of data - data quality, data governance, schema design, data quality and security. Develop scalable data architecture and standardized……
Communicate technical solutions and progress effectively to both technical and non-technical stakeholders. Bachelor’s degree in Computer Science, Engineering,……
You’ll work with modern data and automation tools to design and implement high-performance, scalable integrations between our platform and customer systems.…
These roles include, but are not limited to analysis, design, coding, engineering, testing, debugging, standards, methods, tools analysis, documentation,……
Must obtain the status of Authorized Medical Physicist through the state of Wisconsin and be listed on the radioactive materials license list the company holds……
BS in Engineering, Computer Science, Systems Engineering, or a related field, or equivalent experience, with 12+ years of experience in systems engineering,……
Bachelor’s Degree in a STEM (Science, Technology, Engineering or Mathematics) discipline and 12 years of related engineering experience; OR a Master’s degree in……
Responsible in partnership with the Product Owner and Manager to develop a strategic roadmap for the platform making incremental but steady progress towards……
BS in Engineering, Computer Science, Systems Engineering, or related field or equivalent experience with 12+ years in software development, system engineering……
30d+
Disney Entertainment and ESPN Product & Technology
Reason logically and creatively, identifying problems, drawing valid conclusions from the data available, and develop effective solutions while applying……
Responsible in partnership with the Product Owner and Manager to develop a strategic roadmap for the platform making incremental but steady progress towards……
Bachelor’s Degree in a STEM (Science, Technology, Engineering or Mathematics) discipline and 12 years of related engineering experience; OR a Master’s degree in……
Bachelor’s Degree in a STEM (Science, Technology, Engineering or Mathematics) discipline and 12 years of related engineering experience; OR a Master’s degree in……
Responsible in partnership with the Product Owner and Manager to develop a strategic roadmap for the platform making incremental but steady progress towards……
Comfortable operating in an AI-first engineering organization where planning, design, implementation, testing, and documentation are frequently augmented by……
The Technical Lead leads complex technical problem solving and owns the most challenging development tasks, integrations, and technical decisions.…
Professional Engineering design of the mechanical engineering discipline, including HVAC, Plumbing and Fire Suppression. In office, not remote or virtual.…
Master's or doctoral degree in computer science, electrical engineering, mathematics, or a similar field. You’ll participate in the detailed technical design,……
Master’s degree in data science, computer science, statistics, engineering, or a related technical field. Bachelor’s degree in data science, computer science,……
BS in Engineering, Computer Science, Systems Engineering, or related field or equivalent experience with 12+ years in software development, system engineering……
Experience developing and scaling manufacturing test systems from prototype, pilot, or low-volume production environments into high-volume manufacturing.…
Use AI to find out how well the skills on your resume fit this job description.
What You’ll Achieve:
Design, develop, and maintain scalable data processing solutions across on-premises and cloud environments using Python and Apache Spark.
Optimize and fine-tune Spark jobs for performance, including resource utilization, shuffling, partitioning, and caching, to ensure maximum efficiency in large-scale big data environments.
Design and implement scalable, fault-tolerant data pipelines with end-to-end monitoring, alerting, and logging.
Leverage AWS cloud services (2+ years preferred) to build and manage data pipelines and distributed processing workloads.
Develop and optimize SQL queries across relational and data warehouse systems (RDBMS/Data Warehouse).
Apply design patterns and best practices for efficient data modeling, partitioning, and distributed system performance.
Use Git (or equivalent) for source control and maintain strong unit and integration testing practices.
Collaborate with Product Owners, partners, and multi-functional teams to translate business requirements into technical solutions.
Demonstrate strong analytical skills with the ability to extract actionable insights from large datasets and support data-driven decision-making.
Mentor junior engineers, conduct code reviews, and contribute to establishing engineering best practices and standards.
Who You Are:
5+ years of software development experience in a scalable, distributed, or multi-node environment.
Proficient in programming with Scala, Python, or Java; comfortable building data-driven solutions at scale.
Significant experience with Apache Spark and exposure to Hadoop, Hive, and related big data technologies.
Demonstrated experience with cloud platforms (AWS, preferred) and an interest in cloud migration projects.
Eager to deepen your expertise with the Databricks platform.
Exposure to modern data tools and frameworks such as Kubernetes, Docker, and Airflow.
Strong problem-solving skills with the ability to own problems end-to-end and deliver results.
Consultative mentality — comfortable taking initiative, building relationships, communicating broadly, and tackling challenges head-on.
Collaborative teammate with an eagerness to learn from peers and mentors while contributing to a culture of growth.
Motivated to grow your career within a dynamic, innovative company.
What you’ll bring:
BA/BS in Computer Science or related field.
At least 5 years of experience as a big data software developer.
Experience in Machine Learning, including model development, feature engineering, or integrating ML workflows into data pipelines.
Experience with Databricks, including Notebooks, Delta Lake, Jobs, Pipelines, and Unity Catalog, preferred.
Proficiency with the ELK stack (Elasticsearch, Logstash, Kibana) for real-time search, log analysis, and visualization, preferred.
AWS, Databricks, or Spark certification a plus.
Click here to view how Epsilon transforms marketing with 1 View, 1 Vision, 1 Voice.