Data Engineer

Venture Ridge Solutions; Cincinnati (OH); Hybrid; USD 95,000 - 123,000; Full time

Benefits offered by this job

Health insurance

401(k) with company match

Professional development opportunities

Job summary

Venture Ridge Solutions in Cincinnati, OH seeks a Data Engineer to design and optimize data pipelines, ensure data quality, and support cross-functional teams. This full-time role offers collaboration in a growth-focused environment with opportunities for professional development.

You will work on data modeling, integration, and analytics, leveraging SQL, Python, and cloud platforms. A Bachelor’s in a related field and 3+ years of data engineering experience are required.

Qualifications

• Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, or related field is required.
• Experience with SQL, Python, and data warehousing tools is required.
• Knowledge of cloud platforms like AWS or Azure is a plus.
• 3+ years of data engineering experience with ETL pipelines is expected.

Responsibilities

• Design, build, and maintain data infrastructure to produce and analyze data.
• Collaborate with data scientists, analysts and stakeholders to solve data challenges.
• Develop and implement data processing pipelines using various technologies.
• Ensure performance, quality, and reliability of data infrastructure through monitoring and testing.
• Stay updated with industry trends to improve data capabilities.

Skills

SQL

Python

ETL pipelines

Java

Scala

Data modeling

Education

Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, or related field

Tools

Hadoop

Spark

Data warehousing tools

AWS/Azure cloud

Job description

Venture Ridge Solutions, a software development company in Cincinnati, OH, seeks a Data Engineer for a FULL_TIME position. The salary range is $95,000 - $123,003. The role involves transforming raw data into actionable insights and collaborating with cross-functional teams.

As a Data Engineer, you'll design and implement data pipelines, ensure data quality, and optimize database performance. You'll also work on data modeling and integration, and provide data support to other teams.

You'll be part of a dynamic team in our Cincinnati office, Ohio, where the collaborative and innovative work environment fosters a culture of continuous learning and professional growth. The office is designed to encourage teamwork and creativity, with open spaces and shared resources that facilitate idea exchange and project collaboration. There are ample opportunities for skill development and career advancement, with access to training programs, mentorship, and leadership development initiatives. The team is composed of talented individuals from diverse backgrounds, who bring a wealth of experience and expertise to the table. The workplace is also committed to work-life balance, offering flexible schedules and remote work options to accommodate personal needs and preferences.

The annual salary range for this position is between $95,000 and $123,030, providing a competitive compensation package. Employees can expect comprehensive health insurance coverage, including medical, dental, and vision plans, to support their well-being. Additionally, the company offers robust retirement plans, such as a 401(k) with a company match, to help employees save for their future. Professional development opportunities are also available, allowing employees to enhance their skills and advance their careers within the organization.

You should have a Bachelor's degree in Computer Science, Data Science, or a related field. Experience with SQL, Python, and data warehousing tools is required. Knowledge of cloud platforms like AWS or Azure is a plus.

• Design, build, and maintain efficient, reusable, and reliable data infrastructure to produce and analyze data.
• Collaborate with data scientists, analysts, and other stakeholders to identify and solve data challenges.
• Develop and implement data processing pipelines and workflows using a variety of technologies.
• Ensure the performance, quality, and reliability of our data infrastructure through monitoring, testing, and optimization.
• Stay up-to-date with the latest industry trends and technologies to drive innovation and improve our data capabilities.
• Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field, or equivalent practical experience.
• 3+ years of experience in data engineering, with a strong background in data processing and ETL pipelines.
• Proficiency in programming languages such as Python, Java, or Scala.
• Experience with big data technologies like Hadoop, Spark, or similar frameworks.
• Strong understanding of database systems and data modeling techniques.