Data Engineer

Job Title: Data Engineer
Location/ Work Structure: Remote
Compensation: $105,000
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 currently partnering with a local construction company to bring in a Data Engineer to add to the team.
 What You’ll Do:

  • Design, develop, and maintain scalable and reliable data pipelines that integrate data from multiple sources (CRM, ERP, etc.) into a cohesive data ecosystem.
  • Collaborate with stakeholders to understand data requirements and deliver comprehensive data models that support business needs.
  • Contribute to developing and documenting internal and external standards for pipeline configurations, naming conventions, partitioning strategies, and more.
  • Analyze and improve existing data architectures to enhance performance and scalability.
  • Develop and enforce data governance policies and procedures to ensure data integrity and security.
  • Stay abreast of industry trends and technologies to drive innovation within the data management space.
  • Ensure high operational efficiency and quality of the data platform datasets to ensure project reliability and accuracy to all our clients.
  • Implement and manage Master Data Management (MDM) strategies and solutions to ensure data accuracy, completeness, and consistency across the organization.

What Experience You’ll Have:

  • Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL), and working familiarity with various databases (MS SQL, PostgreSQL, MySQL, Oracle, etc.).
  • Experience building and optimizing big data pipelines, architectures, and data sets.
  • Strong analytic skills related to working with unstructured datasets.
  • Build processes supporting data transformation, data structures, metadata, dependency, and workload management.
  • Ability to quickly understand complex systems and data flows.
  • Excellent problem-solving, analytical, and communication skills.
  • Experience with CRM and ERP systems integration is highly desirable.
  • Skills in one or more languages such as SQL (Required), Python, C#, Java, Kotlin, Scala, R,  and JavaScript
  • 5+ years of experience in a data engineer role, with a graduate degree in computer science, statistics, informatics, information systems, or another quantitative field.
  • Proven experience in data engineering, data integration, and data architecture.
  • Strong proficiency in SQL and experience with relational and NoSQL databases.
  • A successful history of manipulating, processing, and extracting value from large, disconnected datasets.