Data Engineer — Scalable Pipelines, Databricks & Snowflake

MFour Mobile Research, Inc.

Kansas City (MO)

On-site

USD 113,000 - 138,000

Full time

9 days ago
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Benefits offered by this job

Health benefits
Unlimited PTO
WeWork KC office access

Job summary

MFour Mobile Research, Inc. is seeking a Data Engineer to design, implement, and manage scalable data pipelines supporting analytics, product, and engineering teams. You’ll work with Databricks and Snowflake to ensure robust data platforms and reliable processing of large data sets.

Ideal candidates have 3+ years in data engineering, strong SQL/Python skills, and experience with cloud data ecosystems. This role is based in Kansas City with a focus on scalable, secure data solutions.

Qualifications

  • Bachelor’s degree in Computer Science, Engineering, or related field.
  • 3+ years of professional data engineering experience.
  • Proficiency with Databricks, Snowflake, PostgreSQL, and MySQL.

Responsibilities

  • Design, build, and maintain scalable data pipelines for large data volumes (structured & unstructured).
  • Optimize data architecture for real-time & batch processing.
  • Integrate PostgreSQL, MySQL, Databricks, Snowflake into data ecosystem.
  • Develop and manage ETL/ELT using Airflow or dbt.
  • Monitor, troubleshoot, and ensure pipeline reliability.
  • Document workflows and promote best practices across teams.

Skills

Databricks
Snowflake
PostgreSQL
MySQL
Python
Scala
SQL
Airflow
dbt
AWS / Azure / GCP

Education

Bachelor’s degree in CS/Engineering

Tools

Databricks
Snowflake

Job description

MFour Mobile Research, Inc. is seeking a Data Engineer to design, implement, and manage scalable data pipelines supporting analytics, product, and engineering teams. You’ll work with Databricks and Snowflake to ensure robust data platforms and reliable processing of large data sets.

Ideal candidates have 3+ years in data engineering, strong SQL/Python skills, and experience with cloud data ecosystems. This role is based in Kansas City with a focus on scalable, secure data solutions.

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