Senior Database Engineer

Constellation Brands

Senior Database Engineer building high-quality data pipelines driving analytic solutions for Constellation Brands. Collaborating with Agile teams to advance data-driven decision-making capabilities in the organization.

Posted 5/13/2026full-timeRochester • Illinois, New York, Texas • 🇺🇸 United StatesSenior💰 $113,500 - $177,600 per yearWebsite

Tech Stack

Tools & technologies

AirflowAWSEC2ETLJavaPythonScala

About the role

Key responsibilities & impact

work closely with a multidisciplinary Agile team to build high-quality data pipelines driving analytic solutions
generate insights from the organization's connected data, enabling the organization to advance the data-driven decision-making capabilities of the organization's enterprise
design, develop, optimize, and maintain data architecture and pipelines that adhere to data engineering principles and business goals
solve complex data problems to deliver insights that helps the organization's business to achieve their goals
create data products for analytics and data scientist team members to improve their productivity
advise, consult, mentor and coach other data and analytic professionals on data standards and practices
foster a culture of sharing, re-use, design for scale, stability, and operational efficiency of data and analytical solutions
lead the evaluation, implementation and deployment of emerging tools and processes for analytic data engineering in order to improve the organization's productivity as a team
develop and deliver communication and education plans on data engineering capabilities, standards, and processes
partner with Product Analysts, Product Owners, and Solutions Architects to develop technical architectures for strategic enterprise projects and initiatives.

Requirements

What you’ll need

Bachelor’s degree required; Computer Science, MIS, or Engineering preferred
5 years of experience working in data engineering or architecture role, 7+ preferred
Hands-on Snowflake experience, particularly in designing and optimizing data models and pipelines with a focus on performance and cost optimization.
Proficiency in at least one programming language commonly used within Data Engineering, such as Python, Scala, or Java.
Experience in AWS, hands-on work building and operating data pipelines using services such as S3, IAM, EC2/ECS, Lambda, or Glue
Experience with dbt (models, tests, documentation) is preferred
Expertise with an orchestration platform such as Airflow
Proficiency in Software Development & CI/CD
Conceptual knowledge of data and analytics, such as dimensional modeling, ETL, reporting tools, data governance, data warehousing, structured and unstructured data.
Exposure to machine learning, data science, computer vision, artificial intelligence, statistics, and/or applied mathematics

Benefits

Comp & perks

paid time off
medical/dental/vision insurance
401(k)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data engineeringdata architectureSnowflakePythonScalaJavaAWSdbtAirflowCI/CD

Soft Skills

mentoringcoachingcommunicationcollaborationproblem-solvingleadershipconsultingorganizational skillsculture fosteringeducation planning

Certifications

Bachelor’s degreeComputer ScienceMISEngineering