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Closed on September 18, 2026.

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Emergent Software

Data Engineer

Emergent Software
Cedar Rapids, IA $100k - $120k/yr Full time Posted 1mo ago
Analytics Apache Airflow Business Intelligence Data Data Analysis Data Analytics Data Architecture Data Build Tool Data Engineer Data Engineering Data Integration Data Management Data Modeling Data Operations Data Pipeline Data Pipelines Data Platform Data Processing Data Warehouse Database Databases Dataops Digital Marketing Engineer ETL Informatica Information Technology (IT) Microsoft SQL Server MongoDB Nosql Databases Programming Programming Language Programming Languages Reporting and Analytics SQL
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Job Description

Hybrid in Cedar Rapids, IA and an opportunity to build the data infrastructure that powers reporting, analytics, and business decision-making. Emergent Software seeks a Data Engineer to design, develop, and maintain scalable ETL/ELT pipelines, improve data quality, and deliver reliable datasets for both operational and strategic insights. Salary range: USD 100,000 to 120,000 per year.

Responsibilities

  • Design, develop, and maintain ETL/ELT pipelines for enterprise reporting and analytics.
  • Integrate data from ERP, manufacturing, and business systems into centralized data platforms.
  • Build and manage scalable data workflows across extraction, transformation, and loading.
  • Develop and maintain data models, testing frameworks, and technical documentation.
  • Monitor pipeline performance and troubleshoot issues related to data quality, schema, and workflow.
  • Collaborate with business stakeholders to understand data requirements and deliver scalable solutions.
  • Automate manual processes to improve data delivery efficiency.
  • Ensure data accuracy, consistency, security, and reliability across systems.
  • Stay current with emerging data engineering technologies and best practices.

Requirements

  • Strong experience building and supporting production data pipelines.
  • Proficiency in SQL and Python.
  • Experience working with structured, semi-structured, and unstructured data.
  • Strong analytical, troubleshooting, and problem-solving skills.
  • Excellent communication and organizational skills.
  • Ability to manage multiple priorities in a fast-paced environment.

Technologies

SQL, Python, Prefect, Apache Airflow, dbt, MongoDB, Redis, Microsoft SQL Server, Docker

Nice to Haves

  • Experience with manufacturing, ERP, or operational data environments.
  • Experience using workflow orchestration tools such as Prefect or Apache Airflow.
  • Experience with CDC or incremental data processing strategies.
  • Familiarity with dbt, MongoDB, Redis, Microsoft SQL Server, and Docker.
  • Knowledge of modern data architecture and cloud analytics platforms.

Vetting Process

  • Application (5 minutes)
  • Online Assessment (40 minutes)
  • Initial Video Interview (30-45 minutes)
  • Client Phone Interview (30 minutes)
  • Client On-site interview (60 minutes)
  • Job Offer!

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