Data Engineer II

StorageMart | MMS; Columbia Township (MO); Sur place; USD 100 000 - 120 000; Plein temps

Résumé du poste

StorageMart | MMS is seeking a Data Engineer to own end-to-end data delivery, focusing on Snowflake pipelines and transformations. You’ll mentor under the Director of Cloud & Data Engineering and work with Marketing, BI, Finance, and Operations teams to deliver robust data solutions.

You will migrate existing ETL to Snowflake-native pipelines, implement data quality checks, and help design a scalable data mart. Strong SQL, Python, and cloud platform experience are essential.

Qualifications

• Three or more years of hands-on Data Engineer or similar experience.
• Strong SQL skills with window functions and large datasets.
• Cloud data warehouse experience; Snowflake preferred; others considered.
• Experience with semi-structured data (JSON) and data modeling concepts.
• Experience with AWS or Azure and data governance basics.

Responsabilités

• Build, test, and maintain Snowflake pipelines and transformations.
• Migrate SnapLogic ETL to Snowflake-native pipelines and decommission legacy jobs.
• Design and build Snowflake data mart with dimensional modeling.
• Integrate data from source systems into Snowflake and optimize load patterns.
• Write performant SQL, tune warehouses, and ensure data quality checks.
• Support BI/Analytics teams with clean, well-modeled datasets and answers.
• Follow CI/CD practices for data pipelines and maintain runbooks.

Connaissances

SQL proficiency

Analytical thinking

Problem-solving

Strong communication

Team collaboration

Formation

Bachelor's degree in CS/IS/SE or equivalent

Outils

Snowflake

Python

Git

Power BI

Tableau

Description du poste

Join Our Team as a Data Engineer!

Do you enjoy being hands and want to help shape the data that our Marketing, BI, Finance, and Operations teams run on? This role works directly with our Director of Cloud & Data Engineering, who will set architectural direction and provide mentorship, while you own meaningful pieces of delivery end to end. We need someone who is proficient in Snowflake pipelines and transformations and is extremely analytical with strong problem-solving skills. If this sounds like you, we’d love to hear from you!

Compensation:

$100,000-$120,000per year commensurate with experience

What You’ll Do:

• Build, test, and maintain data ingestion and transformation pipelines in Snowflake using native tooling (Snowpipe, Streams and Tasks, Dynamic Tables, Snowpark, external stages, and SQL-based transformation frameworks).
• Migrate existing SnapLogic ETL jobs to Snowflake-native pipelines, validating parity, reconciling results against legacy outputs, and decommissioning legacy jobs cleanly.
• Contribute to the design and buildout of our new Snowflake data mart, including dimensional modeling, fact and dimension table development, incremental load patterns, and documentation.
• Develop and maintain integrations that land data from source systems — operational databases, SaaS platforms, APIs, and flat/semi-structured files — into Snowflake.
• Write performant SQL and tune queries, warehouses, clustering, and load patterns for both cost and speed.
• Implement data quality checks, testing, monitoring, and alerting so that pipeline failures and data anomalies are caught before downstream consumers see them.
• Support data consumers on the BI, Marketing, and Analytics teams by delivering clean, well-documented, well-modeled datasets, and by troubleshooting data questions as they arise.
• Follow and help improve our engineering practices: version control, code review, CI/CD for data pipelines, and environment promotion.
• Help uphold data security, privacy, governance, and access-control standards in partnership with the broader IT team.
• Maintain clear technical documentation, including data lineage, source-to-target mappings, and runbooks.
• Work through a prioritized backlog in collaboration with your manager and stakeholders, communicating status and blockers proactively.

Who We’re Looking For:

• Bachelor's degree in computer science, information systems, software engineering, or a related field — or equivalent practical experience.
• Three or more years of hands-on experience as a Data Engineer, Analytics Engineer, ETL/BI Developer, or similar role.
• Strong SQL skills, including window functions, CTEs, query tuning, and working with large datasets.
• Practical experience with a cloud data warehouse. Snowflake experience is strongly preferred; comparable experience with BigQuery, Redshift, Databricks, or Synapse will be considered.
• Working knowledge of data warehousing and dimensional modeling concepts (star and snowflake schemas, slowly changing dimensions, grain, surrogate keys).
• Proficiency in Python for data work, plus comfort at the command line.
• Experience working with semi-structured data such as JSON, including parsing and flattening it into relational structures.
• Experience with cloud platforms such as AWS or Azure (storage, IAM/access management, secrets, and basic compute).
• Experience with version control (Git) and collaborative development workflows.
• Understanding of what BI and reporting tools such as Power BI or Tableau need from an upstream data model.
• Strong analytical and problem-solving skills, with the ability to work both independently and as part of a team in a fast-moving environment.
• Clear written and verbal communication, including the ability to explain technical concepts to non-technical stakeholders.

Preferred Qualifications:

• Direct experience building Snowflake pipelines and transformations, or migrating from a legacy ETL tool (SnapLogic, Talend, Informatica, Matillion, SSIS, or similar) into a cloud-native pattern.
• Snowflake certification (SnowPro Core or Advanced) or a cloud platform certification (AWS, Azure).
• Familiarity with data governance and cataloging practices.
• Exposure to analytics and AI/ML platforms and tooling (e.g., Dataiku, Copilot, or LLM-based tooling in a data context).
• Local candidates or willingness to relocate preferred.

Why You’ll Love Working Here:

• Innovative Environment: Be part of a forward-thinking team that values creativity and technical excellence.
• Growth Opportunities: Develop your skills and career with mentorship from senior leaders and exposure to new technologies.

• Collaborative Culture: Work in a supportive and collaborative environment where your contributions make a real difference.

Work Environment:

This position is located at our home office in Columbia, MO.

Work Hours:

• We operateprimarily on a standard business-hoursschedule with some flexibility, and we maintaina culture where work-life balance is taken seriously.Must be willing to provide after-hours support when needed.

#SMH1