Data Analytics Engineer
$88k - $117kImperial PFS
Job Description
Job Description
Midwest Railcar - Data Analytics Engineer
About the Role
The Data Analytics Engineer builds and maintains the foundational data infrastructure that transforms raw business data into reliable, analysis-ready insights for decision-making. This position is critical to establishing scalable data models, pipelines, and governance practices that will support our growing analytical needs.
The prime reason for this role's existence is to bridge the gap between raw data ingestion and analytics needs, ensuring that our analysts and stakeholders have access to high-quality, well-documented, and performant data models. This position directly contributes to the company's overall mission by enabling data-driven decision making across all departments, improving operational efficiency, and supporting strategic initiatives through reliable analytics infrastructure.
Key contributions to the company include:
Building standardized data models that reduce time-to-insight for business users
Implementing data quality and governance frameworks that ensure information is accurate and compliant.
Creating reliable, well-documented data pipelines that enable consistent reporting and analytics across all business functions
What You'll Do
Data Modeling and Pipeline Development
Design, build, and manage data models and ELT/ETL pipelines to transform raw data into structured formats within Snowflake using dbt
Create conform and analytics layers that standardize data for business consumption
Develop dimensional models and data marts tailored to business requirements
Data Quality and Governance
Implement best practices for data quality, integrity, and performance monitoring
Contribute to data governance frameworks, including maintaining data lineage and definitions
Establish data quality checks and validation processes within dbt workflows
Performance Optimization
Optimize data storage and retrieval processes within Snowflake to ensure scalable, reliable, and cost-effective data solutions
Fine-tune SQL queries and data transformations for optimal performance
Monitor and improve pipeline efficiency and resource utilization
Technical Documentation
Create and maintain clear, comprehensive documentation for data models, processes, and key metrics
Document data lineage and maintain metadata for analytical datasets
Establish documentation standards and best practices for the team
Software Engineering Practices
Leverage version control and CI/CD pipelines for streamlined, reliable development processes
Ensure code quality through testing, peer reviews, and automated deployment
Collaboration and Stakeholder Management
Work closely with analysts and business subject matter experts to understand requirements
Translate business needs into effective technical data solutions
Participate in regular stakeholder meetings to refine and expand data capabilities
Other Tasks and Responsibilities as Required
Required Qualifications
Bachelor’s degree in Information Systems or a related field
2-4 years of experience in analytics engineering, data engineering, or similar role
Advanced SQL proficiency in ANSI-SQL for querying, data transformation, and building data infrastructure
Snowflake expertise with hands-on experience in its architecture and best practices for data management and processing
Strong data modeling skills with deep understanding of data modeling principles and experience designing efficient structures for analytics
dbt proficiency for managing data transformations and building data models within Snowflake
Passion for detail and quality - skilled at spotting data and process gaps and committed to driving continuous improvement
Strong communication skills and comfort collaborating with non-technical stakeholders
Intellectual curiosity and drive to understand business problems through data
- Communication skills – specifically 1 on 1 communication skills with staff regarding changes or fixes that could affect them.
- Listening skills – being able to interpret the issues that the user is facing is key when providing them with a solution.
- Understand and prioritize corporate goals
Preferred Qualifications
SnowPro certification or equivalent advanced Snowflake expertise
Experience with modern cloud data architecture (data lakes, data lakehouses, cloud data platforms)
Experience with ELT/ETL tools (Fivetran experience a plus)
Knowledge of data visualization tools (Tableau, Looker, Power BI)
Previous experience in insurance, finance, or regulated industries
Python programming experience for data parsing, transformation, and scripting within data pipelines
Midwest Railcar is a leading provider of railcar leasing and transportation solutions, committed to delivering reliability, performance, and integrity across the rail industry. With decades of experience and a strong customer-first philosophy, the company partners with businesses nationwide to supply high-quality equipment and responsive service tailored to evolving logistics needs. Driven by a culture of excellence and accountability, Midwest Railcar emphasizes innovation, operational efficiency, and long-term relationships. Interns joining our team gain hands-on exposure to a dynamic industry, working alongside experienced professionals who are dedicated to keeping essential supply chains moving safely and efficiently.
FOR OUR ASSOCIATES:
- At the office : Based on your location, we offer parking and commuter benefits programs to help make your commute a little easier.
- Staying healthy: Our wellness program, Wellworks, combined with our Employee Assistance Program (for when you need confidential support), help you keep an eye on short and long-term goals and any bumps that pop up along the way. We are also proud to offer subsidies to support your health and fitness goals by providing gym membership subsidies.
- Preparing for your future: We offer a 401(k) with a company match
- Company culture: Our Associates are the foundation of our company and we want you to enjoy working here! With company lunches, corporate outings, or even the occasional ice cream truck, you never know what will pop up to make your day.
- Peace of mind: Our insurance benefits include medical, prescription, dental, voluntary vision, voluntary life/dependent life, group term life, and AD&D.
- Time to recharge: We offer paid time off, along with paid holidays, in accordance with company policy and applicable laws.
The salary range for this position is $88,000 to $117,000. If an offer is made, the pay rate determinations will take into account relevant market data and the applicant’s prior experience, education and other qualifications directly related to the position to ensure internal equity.
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