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Data Engineer - ETL/ELT & Database Management - Remote
Data Engineer - ETL/ELT & Database Management - RemoteJobs via Dice • California, MO, US
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Data Engineer - ETL / ELT & Database Management - Remote

Data Engineer - ETL / ELT & Database Management - Remote

Jobs via Dice • California, MO, US
3 days ago
Job type
  • Full-time
  • Permanent
  • Remote
Job description

Overview

Dice is the leading career destination for tech experts at every stage of their careers. Our client, DivIHN Integration Inc., seeks a Data Engineer - ETL / ELT & Database Management. This is a remote opportunity.

DivIHN (pronounced divine) is a CMMI ML3-certified technology and talent solutions firm. Since 2002, it has helped organizations build teams with exceptional temporary and permanent talent. For inquiries regarding this opportunity, please contact one of our Talent Specialists.

Position details : Job Title : Data Engineer - ETL / ELT & Database Management - Remote. Location : Remote. Duration : 12 months with possibility of extension. Potential to convert to full-time. This is a completely remote role but may require working in PST time zone (8 : 00–17 : 00 or 9 : 00–17 : 00 PST).

How to apply : Apply via Dice today.

Equal employment opportunity statement : DivIHN is an equal opportunity employer. It does not discriminate on the basis of race, color, religion, gender, gender expression, age, national origin, disability, marital status, sexual orientation, or military status.

Job Responsibilities

  • Design and develop robust ETL / ELT pipelines for structured and unstructured data.
  • Hands-on database administrator skills to manage and resolve issues from data sources.
  • Automate data ingestion, transformation, and validation processes to improve efficiency and reduce manual effort.
  • Collaborate with biostatistics, data scientists, analysts, and stakeholders to support AI / ML model development and deployment.
  • Build and optimize data systems for performance, scalability, reliability, and ensure data quality, integrity, and security across platforms.
  • Develop and maintain documentation for data architecture, processes, and workflows.
  • Monitor and troubleshoot data pipeline issues and implement proactive solutions.
  • Experience with REST API connections.

Qualifications

  • Education : Minimum of a Bachelor's degree (required); advanced degree preferred.
  • Fields of study include Computer Science, Computer Engineering, Data Science, Statistics, Informatics, Information Systems or related quantitative field.
  • Experience : 2 to 8 years in data science, data pipelining, data mining, data migration, and data engineering.
  • Programming : R, Python, SQL; SAS base experience is required; SAS or SQL certifications preferred.
  • Software Skills : Proficient with SQL, R, Python and ETL solutions; advanced SQL; familiarity with databases; experience building and optimizing data pipelines and datasets.
  • Tools : SAS (SAS Base / Graph), relational SQL, REST APIs, Power BI or other data visualization tools, and data pipeline / workflow management tools.
  • About us

    DivIHN, the IT Asset Performance Services organization, provides professional consulting, custom projects, and professional resource augmentation services to clients in the Midwest and beyond. The company emphasizes standardization, specialization, and collaboration.

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