Sr. Data Engineer

$115,000 - $135,000/Yr

INSPYR Solutions - Milwaukee, WI

Full-time - Mid Level

Milwaukee, WI

Administrative and Support Services

About the position

The Senior Data Engineer will focus on quality engineering best practices to meet and exceed internal and external client expectations. This role involves analyzing, designing, developing, testing, and documenting solutions that support data integration, performance tuning, and data modeling to drive organizational growth objectives. The Senior Data Engineer will define standards for data architecture, platform architecture, and data quality and governance, ensuring alignment with the overall organization and meeting critical service levels in access, delivery, and security.

Responsibilities

• Co-architect next-generation cloud data analytics platform.
• Increase operating efficiency and adapt to new requirements.
• Monitor and maintain the health of solutions generated.
• Support and enhance data-ops practices.
• Provide task breakdowns, identify dependencies, and provide effort estimates.
• Model data warehouse entities in Erwin.
• Build data transformation pipelines with Data Build Tools (DBT).
• Evaluate the latest technology trends and develop proof-of-concept prototypes that align with company opportunities.
• Develop positive relationships with clients, stakeholders, and internal teams.
• Understand business goals, drivers, context, and processes to suggest technology solutions that improve the organization.
• Work collaboratively on creative solutions with engineers, product managers, and analysts in an agile-like environment.
• Perform, design, and code reviews.
• Perform other position-related duties as assigned.

Requirements

• Bachelor's degree in computer engineering, computer science, data science, or related field.
• Two years or more experience designing and implementing data warehouses in Snowflake.
• Eight years or more experience working with data modeling, architecture, and engineering.
• Experience with all core software development activities, including requirements gathering, design, construction, and testing.
• Experience performing data transformation using DBT.
• Experience working with DQ products such as Monte Carlo, BigEye, or Great Expectations.
• Experience with Azure DevOps (Repos, Pipelines, Boards, Wiki, Test Plans).
• Experience with formal software development methodologies including Software Development Life Cycle (SDLC), Agile or SCRUM.
• Experience building high-performance and highly reliable data pipelines.
• Knowledge of data warehouse design patterns (star schema, data vault).
• Experience building dashboards with business integration tools.
• Knowledge of DataOps with cloud-based compute, storage, integration, and security patterns.
• Knowledge and understanding of RESTful APIs.
• Knowledge of current data engineering trends, best practices, and standards.
• Knowledge of SQL and Python.
• Ability to work in a collaborative environment.
• Ability to facilitate evaluation of technologies and achieve consensus on technical standards and solutions among a diverse group of information technology professionals.
• Ability to work in an organization driven by continuous improvement or with equivalent focus on process improvement.
• Ability to manage multiple competing priorities and attain the best possible outcomes for the organization.
• Excellent verbal and written communication and effective listening skills.

Nice-to-haves

• Experience in delivering an end-to-end data analytics platform using modern data stack components.
• Experience with AI/ML.
• SnowPro Advanced Certification.
• DBT Analytical Engineer Certification.

Benefits

• Competitive Salary
• Comprehensive Benefits Package
• 401k
• PTO
• Health & Wellness Days
• Paid Volunteer Time Off
• Continuing Education/Training
• Hybrid Work Schedule
• Other perks