Data Engineer: Build AI-Ready Legacy Pipelines

Groundswell

Virginia (MN)

On-site

USD 90,000 - 175,000

Full time

2 days ago
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Benefits offered by this job

Comprehensive benefits
401K match
Tuition reimbursement
Flexible work schedule
On-site gym

Job summary

Groundswell seeks a seasoned Data Engineer to build secure data capabilities for a mission-focused platform. You will design, implement, and operate ETL/ELT pipelines, ensuring data quality, provenance, and access controls across cloud environments.

You will collaborate with software, cloud, data science, and security teams to deliver reliable data products for decision-ready applications and AI-enabled capabilities in controlled environments.

Qualifications

  • Bachelor's degree in a technical field.
  • 5+ years of data engineering experience with pipelines.
  • Proficiency in Python/Java/R for data engineering.
  • Experience with SOAP APIs for data interaction.
  • Experience with data-quality, monitoring, and alerting.
  • Knowledge of data security, governance, and access controls.

Responsibilities

  • Design, develop, and operate batch and streaming ETL/ELT pipelines.
  • Onboard legacy data sources by reviewing schemas and interfaces.
  • Build automated data-quality checks with monitoring and alerts.
  • Automate deployments and pipeline operations using SOAP APIs and workflows.
  • Troubleshoot failures across distributed data systems and communicate root causes.
  • Collaborate with cross-functional teams to translate mission needs into data products.

Skills

Python
Java
R
Data governance
Data modeling
Documentation

Education

Bachelor's degree in Computer Science/Engineering/Math/Statistics

Tools

SOAP APIs
REST APIs
AWS
Databricks
Jupyter Notebook

Job description

Groundswell seeks a seasoned Data Engineer to build secure data capabilities for a mission-focused platform. You will design, implement, and operate ETL/ELT pipelines, ensuring data quality, provenance, and access controls across cloud environments.

You will collaborate with software, cloud, data science, and security teams to deliver reliable data products for decision-ready applications and AI-enabled capabilities in controlled environments.

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