Data Engineer III

Vernovis

Cincinnati (OH)

On-site

USD 120,000 - 130,000

Full time

14 days+

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Benefits offered by this job

401(k)

Vision insurance

Medical insurance

Job summary

A talent solutions company is seeking a Data Engineer in Cincinnati. The role involves developing data engineering pipelines, data modeling, and utilizing Google Cloud Platform for analytics. Candidates should have a Bachelor’s degree and at least 5 years of IT experience, particularly with SQL and Python. The position offers a salary range of $120k to $130k plus a bonus.

Qualifications

Minimum 5 years of experience in Information Technology.
Experience with SQL, Python, Big Query, Cloud Composer, Cloud Pub/Sub.
Ability to build production data pipelines from data ingestion to consumption.

Responsibilities

Working on data engineering pipelines, data modelling, analytics.
Identify data acquisition strategies, design, and develop programs.
Work with data team to efficiently use the Google Cloud platform.

Skills

SQL

Python

Big Query

Cloud Composer

Cloud Pub/Sub

PySpark

Data Analytics

Terraform

Docker

Kubernetes

Education

Bachelor’s degree in Statistics, Mathematics, Data Science, Engineering or a related quantitative field

Tools

Google Cloud Platform

Gitlab

GitHub

Job description

This range is provided by Vernovis. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

$120,000.00/yr - $130,000.00/yr

Direct message the job poster from Vernovis

Compensation: $120,000 - $130,000 + Bonus

Who we are:

Vernovis is a Total Talent Solutions company that specializes in Technology, Cybersecurity, Finance & Accounting functions. At Vernovis, we help these professionals achieve their career goals, matching them with innovative projects and dynamic direct hire opportunities in Ohio and across the Midwest.

Client Overview:

Vernovis is partnering with a local Fortune 500 company to help identify talented Data Professionals for their growing Data Team. This is a great opportunity to join a well-established local company and help them transform their business.

If interested, please contact Jonathon Juriga at jjuriga@vernovis.com

What You'll Do:

Working on data engineering pipelines, data modelling, analytics and supporting complex issues.
Identify data acquisition strategies, design, and develop programs to acquire data into Data Lake/Data Warehouse
Work with data team to efficiently use the Google Cloud platform to analyze data, build data models and generate reports/visualizations
Script Procedures to stage large amounts of input and output data in Data Lake; participate in software development life cycle (SDLC) tasks like status reporting, design reviews and approvals, detailed functional and technical documentation, migration of artifacts to production.

What Experience You'll Have:

Bachelor’s degree in Statistics, Mathematics, Data Science, Engineering or a related quantitative field
Minimum 5 years of experience in Information Technology, including experience with SQL, Python, Big Query, Cloud Composer, Cloud Pub/Sub
Minimum 5 years of experience in building and operationalizing large-scale enterprise data solutions and applications, with the ability to build production data pipelines from data ingestion to consumption within a hybrid big data architecture.
Minimum 4 years of experience working with CI/CD pipelines using Code repositories like Gitlab, GitHub, etc. and deployment tools like Cloud Build or Gitlab Runners.
Minimum 3 years of combined experience in PySpark, Cloud Dataproc, Cloud Dataflow, Terraform, Hadoop, Hive, Apache Spark, Cloud Spanner, Cloud SQL and Data Fusion.
Minimum 1 year of experience in Reporting, Data Analytics and building data pipelines
Experience in any cloud platforms such as GCP, Azure, AWS, with a preference to GCP.
Advanced understanding of the technical environment, including technical area development and the architecture of SAP.

What Experience is Nice to Have:

Master’s degree in Statistics, Mathematics, Data Science, Engineering or related quantitative field with 3 years of experience in Information Technology, including exposure to:
Reporting and data analytics, such as building and operationalizing large-scale enterprise data solutions and applications, building production data pipelines from data ingestion to consumption within a hybrid big data architecture
Working with CI/CD pipelines using Code repositories like Gitlab, GitHub, and deployment tools like Cloud Build or Gitlab Runners
Experience in any cloud platforms such as GCP, Azure, AWS, etc., with a preference to GCP
Understanding of the technical environment, including technical area development and the architecture of SAP
Experience in medallion architecture with the Google Cortex framework
Experience with containerization technologies like Docker or Kubernetes
Experience in PySpark, Cloud Dataproc, Cloud Dataflow, Terraform, Hadoop, Hive, Apache Spark, Cloud Spanner, Cloud SQL, and Data Fusion

Seniority level