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

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

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

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

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

Leverage version control and CI/CD pipelines for streamlined, reliable development processes

Ensure code quality through testing, peer reviews, and automated deployment

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

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

Snow Procertification or equivalent advanced Snowflake expertise

Experience with modern cloud data architecture (data lakes, data lake houses, 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…