Data Engineer

If you’re looking for a full-service agency that’s shaking up the marketing landscape and creating momentum– you’re in the right place. At Hiebing, we’re a passionate, full-service crew fueled by curiosity, dedicated to doing great work and good deeds. Collaboration is second nature for our teams in both Madison and Austin. They work together to craft meaningful stories for brands we love and pro bono causes we believe in across the country. We believe in the power of our “We Before Me” credo, where the team always has your back and your voice is amplified by others building on your great ideas with a “Yes And”. Think you’d thrive here? Come join the vibe! We are seeking a skilled and motivated Data Engineer to join our data science team. The ideal candidate will possess a strong background in data engineering with the ability to build scalable data pipelines using software, develop machine learning models, and implement data-driven solutions to complex business problems.Required Skills & Job Responsibilities:Data Pipeline Development:

Design, develop, and maintain scalable and efficient data pipelines for collecting, processing, and storing large volumes of structured and unstructured data.

Ensure data quality and integrity by implementing robust data validation and cleansing processes.

Data Infrastructure Management:

Work closely with the marketing science and IT teams to build and maintain the data infrastructure, including databases, data warehouses, and cloud-based solutions.

Implement data governance and security best practices to ensure data compliance and privacy.

Performance Optimization:

Optimize the performance of data processing and machine learning workflows to ensure efficiency and scalability.

Troubleshoot and resolve issues related to data pipelines, model deployment, and infrastructure.

Research and Innovation:

Stay up-to-date with the latest advancements in data science, artificial intelligence, and data engineering technologies.

Propose and explore new methodologies and tools to enhance the capabilities of the data science team.

Collaboration and Communication:

Collaborate with cross-functional teams, including data scientists, software engineers, and business analysts, to understand business requirements and deliver data-driven solutions.

Communicate complex technical concepts and results to non-technical stakeholders in a clear and concise manner.

The most qualified candidates will also have the following skills:Machine Learning Model Development:

Develop, train, and deploy machine learning models to address various business challenges such as predictive analytics, classification, clustering, and recommendation systems.

Continuously monitor and improve model performance through regular evaluation and tuning.

Software Development:

Develop and maintain high-quality, production-ready code for data science applications and tools.

Implement and follow software development best practices, including version control, testing, and documentation.

Qualifications:

Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.

Proven experience as a Data Science Engineer, Data Engineer, or a similar role.

Experience with data ELT software.

Proficiency in SQL and experience with database technologies, preferably Snowflake

Experience with big data technologies and cloud platforms (e.g., AWS, Google Cloud, Azure).

Sufficient programming skills in Python.

Familiarity with data visualization tools (e.g., Tableau, Power BI).

Solid understanding of machine learning algorithms, data structures, and software development principles.

Knowledge of continuous integration and continuous deployment (CI/CD) practices.

Understanding of data privacy regulations and best practices.

Strong problem-solving skills and ability to work independently as well as part of a team.

Excellent communication and interpersonal skills.

Ability to work independently as well as part of a team.

Ability to work on-site Monday, Tuesday & Wednesday weekly in an open-office environment

Ability to work in the United States without requiring sponsorship now or in the future

Preferred Qualifications:

Snowflake SnowPro Advanced Data Engineer certification

Microsoft Azure Security Engineer Associate certification

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