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Day Oracle Data Engineer Jobs in Decatur, GA (NOW HIRING)

Atlanta, GA (Hybrid - 3 days on-site) We are looking for a highly capable Data Engineer to design, build, and maintain reliable, scalable data pipelines and infrastructure on Google Cloud Platform ...

Data Quality Engineer

Alpharetta, GA · Remote

$111K - $134K/yr

... day. We believe a high-performing culture, valuable opportunities for personal development and ... Oracle database systems * Data reconciliation and data profiling techniques * Data modeling ...

Hybrid ( 2 days a Week) This Data Engineering Lead (Marketing) position is part of Client IT's Marketing Technology team focused on enabling the development and roll-out of world-class modern ...

Data Engineer

Alpharetta, GA · On-site

$110K - $132K/yr

Equifax is searching for an innovative Intermediate Data Engineer to join our Global Keying ... Equifax has a hybrid work schedule that allows for two days of remote work (Monday and Friday) with ...

Sr Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Note: for the first 90 days, new hires must be prepared to work 100% onsite M-F. KEY RESPONSIBILITIES Data Engineering & AI Pipeline Development: * Design and implement scalable data architectures to ...

... DB2, Oracle, Netezza), technical programming skills (SAS, SQL, Toad), exposure to applied data ... Teammates also receive no less than 10 days of vacation (prorated based on date of hire and by ...

Sr Data Engineer

Atlanta, GA

$110K - $132K/yr

Note: for the first 90 days, new hires must be prepared to work 100% onsite M-F. KEY RESPONSIBILITIES Data Engineering & AI Pipeline Development: * Design and implement scalable data architectures to ...

Sr Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Note: for the first 90 days, new hires must be prepared to work 100% onsite M-F. KEY RESPONSIBILITIES Data Engineering & AI Pipeline Development: * Design and implement scalable data architectures to ...

Lead Data Engineer

Atlanta, GA

$110K - $132K/yr

As a Lead Data Engineer on our Industrial AI & Data Platforms team, you will architect and own the ... For the first 90 days, New Hires must be prepared to work 100% onsite M-F Honeywell helps ...

Adobe AEP Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Atlanta, GA (3 days onsite) Duration: Long term Adobe Experience Platform (AEP) Data Engineer will be responsible for designing, building, and maintaining scalable data pipelines that enable the ...

Lead Data Engineer

Atlanta, GA

$110K - $132K/yr

As a Lead Data Engineer on our Industrial AI & Data Platforms team, you will architect and own the ... For the first 90 days, New Hires must be prepared to work 100% onsite M-F Honeywell helps ...

Data Engineer Lead

Atlanta, GA

$110K - $132K/yr

We are seeking a Data Engineer with strong expertise in Google Cloud Platform (GCP) and PySpark to ... Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

We are seeking an experienced Data Engineer with expertise in Snowflake, Talend, SAS migration ... It's a living, breathing thing that is renewed every day through the ways we engage with each other ...

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

... day one. This is a great seat for someone early in their career who wants to grow fast in an ... Atlan or another data catalog/governance tool * CI/CD experience with Azure DevOps YAML pipelines

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

... day one. This is a great seat for someone early in their career who wants to grow fast in an ... Atlan or another data catalog/governance tool * CI/CD experience with Azure DevOps YAML pipelines

Senior Data Engineer

Atlanta, GA · On-site

$101K - $138K/yr

... to-day. At QGenda, we value our employees and their contributions toward the success of the ... About Your Role As a Senior Data Engineer, you will design, build, and optimize the data platform ...

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Day Oracle Data Engineer information

See Decatur, GA salary details

$21

$67

$93

How much do day oracle data engineer jobs pay per hour?

As of Jul 16, 2026, the average hourly pay for day oracle data engineer in Decatur, GA is $67.04, according to ZipRecruiter salary data. Most workers in this role earn between $60.34 and $75.10 per hour, depending on experience, location, and employer.

What is the difference between Day Oracle Data Engineer vs Day Data Analyst?

AspectDay Oracle Data EngineerDay Data Analyst
Required CredentialsOracle certifications, SQL, ETL toolsData analysis certifications, SQL, Excel
Work EnvironmentData warehouses, cloud platforms, ETL pipelinesBusiness reports, dashboards, data visualization tools
Industry UsageTech, finance, healthcare with Oracle databasesRetail, marketing, finance for insights and reporting

The Day Oracle Data Engineer focuses on building and maintaining data pipelines using Oracle technologies, ensuring data is accessible and reliable. In contrast, the Day Data Analyst interprets data to generate reports and insights for business decisions. Both roles require SQL skills but differ in their primary focus and tools used.

What are the key skills and qualifications needed to thrive as a Day Oracle Data Engineer, and why are they important?

To thrive as a Day Oracle Data Engineer, you need strong expertise in database design, SQL, PL/SQL programming, and data modeling, typically backed by a degree in computer science or a related field. Familiarity with Oracle Database platforms, ETL tools such as Informatica or Oracle Data Integrator, and certifications like Oracle Certified Professional (OCP) are commonly required. Analytical thinking, problem-solving abilities, and effective communication are crucial soft skills for collaborating with stakeholders and resolving complex data issues. These competencies ensure robust data management, optimized performance, and successful delivery of business intelligence solutions.

What is a Day Oracle Data Engineer?

A Day Oracle Data Engineer is a professional responsible for designing, developing, and maintaining data solutions using Oracle technologies, typically during standard business hours. They manage data pipelines, optimize database performance, and ensure data integrity within Oracle databases. These engineers collaborate with data analysts, developers, and business teams to support data-driven decision-making. Their role may also include troubleshooting, implementing data security measures, and integrating various data sources. Strong knowledge of Oracle SQL, PL/SQL, and database management is essential for this position.

What are some common challenges faced by Day Oracle Data Engineers, and how can they be managed effectively?

Day Oracle Data Engineers often encounter challenges such as optimizing complex SQL queries, ensuring data integrity during ETL processes, and managing large-scale database performance. Collaborating closely with data analysts, database administrators, and business stakeholders is essential to address evolving data needs and troubleshoot issues quickly. Staying current with Oracle updates and best practices, as well as implementing robust monitoring and automation tools, helps mitigate these challenges and ensures efficient, reliable data workflows.
What are popular job titles related to Day Oracle Data Engineer jobs in Decatur, GA? For Day Oracle Data Engineer jobs in Decatur, GA, the most frequently searched job titles are:
What job categories do people searching Day Oracle Data Engineer jobs in Decatur, GA look for? The top searched job categories for Day Oracle Data Engineer jobs in Decatur, GA are:
What cities near Decatur, GA are hiring for Day Oracle Data Engineer jobs? Cities near Decatur, GA with the most Day Oracle Data Engineer job openings:

DATA Engineer GCP

Krest Global Solutions

Atlanta, GA

$58 - $60/hr

Contractor

Re-posted 18 days ago


Job description

Job Title: DATA Engineer – GCP

Work Time Zone: EST

Rate: $58-60/hour on 1099/C2C

Location: Atlanta, GA (Hybrid – 3 days on-site)

We are looking for a highly capable Data Engineer to design, build, and maintain reliable, scalable data pipelines and infrastructure on Google Cloud Platform (GCP).. The ideal candidate is proficient with BigQuery, Dataflow, and has experience integrating modern tools like Vertex AI and Gemini models for intelligent data workflows.


Core Responsibilities:

  • Data Pipeline Development: Build scalable batch and real-time pipelines using Dataflow, Pub/Sub, Cloud Composer, and Dataproc.
  • Data Warehousing: Design and optimize analytical models in BigQuery, implementing best practices in schema design and performance tuning.
  • Infrastructure & CI/CD: Deploy data infrastructure with Terraform; create and manage CI/CD pipelines for workflow automation.
  • Data Quality & Governance: Implement validation checks, ensure data integrity, and enforce security and governance practices.
  • AI/ML Integration: Collaborate with data scientists to support Vertex AI workflows and explore the use of Gemini models (via BigQuery ML or Vertex AI APIs) for advanced data transformation.
  • Cross-Team Collaboration: Work with analysts, scientists, and business stakeholders to deliver impactful data solution.

Technical Skills:

  • Strong experience with GCP services: BigQuery, Dataflow, Pub/Sub, Cloud Storage
  • Expertise in SQL, Python, and ETL/ELT development
  • Knowledge of Infrastructure as Code tools (e.g., Terraform)
  • Familiarity with CI/CD tools: Google Cloud Build, Jenkins
  • Understanding of data modeling, partitioning, clustering, and materialized views
  • Working knowledge of data quality frameworks and governance principles
  • Experience with Vertex AI, or a strong interest in ML/AI workflows on GCP
  • Apache Spark, Kafka, Apache Airflow
  • DBT or Dataform for transformations
  • Docker, Kubernetes for Containerization
  • Snowflake, Databricks or other modern platforms

Soft Skills:

  • Strong communication and collaboration skills
  • Ability to manage priorities and work independently
  • Analytical thinking and problem-solving mindset

Preferred Skills (Bonus):

  • Google Cloud certifications (e.g., Professional Data Engineer, ML Engineer)
  • Domain experience in energy, utilities, or industrial sectors

Experience Requirements:

  • Education: Bachelor’s degree in computer science, Engineering, Statistics, or related technical field (or equivalent experience)
  • Professional Experience:
    • 8-10 years of experience in data engineering
    • Proven hands-on experience with GCP and modern data architecture