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Weekend Data Engineering Jobs in Georgia (NOW HIRING)

GCP Data Engineer (Alpharetta, GA)

Alpharetta, GA

$111.80K - $134.20K/yr

The ideal candidate will have a strong background in data engineering, data modeling, and data analysis, and will be proficient in cloud-based architectures. You will be responsible for architecting ...

The ideal candidate has deep experience in data engineering and Microsoft's cloud analytics ecosystem. Responsibilities Migration & Architecture * Assess current data sources, ETLs, and reporting ...

Data Engineer

Atlanta, GA · On-site

$110.10K - $132.20K/yr

This role is focused on engineering robust data pipelines, automating model workflows, and ensuring the integrity and scalability of forecasting systems. Operate as a self-sufficient data ...

Data Engineering * Develop and maintain ingestion, transformation, and orchestration pipelines. * Build and optimize Delta Lakehouse tables, semantic models, and datasets for reporting and AI ...

Data Engineer

Kennesaw, GA

$105.80K - $127.10K/yr

This role will be responsible for data engineering, analytics enablement, and growth strategy, powering cross-sell, CLV measurement, and propensity modeling across product lines. (Note: Candidates ...

Data Engineer

Kennesaw, GA · On-site

$105.80K - $127.10K/yr

This role will be responsible for data engineering, analytics enablement, and growth strategy, powering cross-sell, CLV measurement, and propensity modeling across product lines. (Note: Candidates ...

Data Engineer 3

Atlanta, GA · On-site

$110.10K - $132.20K/yr

Support testing of model retraining, versioning, and deployment pipelines Automation & Engineering * Develop and maintain automated testing frameworks for data pipelines and AI models * Write and ...

Data Engineer

Kennesaw, GA · On-site

$105.80K - $127.10K/yr

This role will be responsible for data engineering, analytics enablement, and growth strategy, powering cross-sell, CLV measurement, and propensity modeling across product lines. (Note: Candidates ...

Data Engineer

Atlanta, GA

$110.10K - $132.20K/yr

The Data Engineering team owns the Bronze (raw ingestion) and Silver (normalized canonical) layers of our Medallion architecture, with a strong focus on healthcare claims data and data quality.

Data Engineer

Atlanta, GA · On-site

$110.10K - $132.20K/yr

The Data Engineering team owns the Bronze (raw ingestion) and Silver (normalized canonical) layers of our Medallion architecture, with a strong focus on healthcare claims data and data quality.

Data Network Engineer

Atlanta, GA · On-site

$110.10K - $132.20K/yr

Skill Required / Desired Amount of Experience Experience in data engineering roles, preferably in government or regulated environments Required 5 Years Hands-on experience with Microsoft Fabric ...

Lead Data Engineer

Atlanta, GA

$110.10K - $132.20K/yr

You will report directly to our Sr. Data Engineering Manager and you'll work out of our Atlanta, GA location on a Hybrid work schedule. Hybrid Work Schedule Note: For the first 90 days, New Hires ...

Lead Data Engineer

Atlanta, GA

$110.10K - $132.20K/yr

You will report directly to our Sr. Data Engineering Manager and you'll work out of our Atlanta, GA location on a Hybrid work schedule. Hybrid Work Schedule Note: For the first 90 days, New Hires ...

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Showing results 1-20

Weekend Data Engineering information

Do data engineers work weekends?

Data engineers typically work standard weekday hours, but they may need to work weekends or outside regular hours to meet project deadlines, perform system maintenance, or address urgent issues. Flexibility is often required, especially in environments with 24/7 data operations or during critical system updates.

What engineering jobs pay $500,000?

Senior data engineers, especially those with extensive experience, advanced skills in cloud platforms, and expertise in big data tools, can earn salaries approaching or exceeding $500,000 annually, often including bonuses and stock options. High-level roles in technology companies or finance firms tend to offer these compensation levels for top-tier talent.

What jobs in the US pay $300,000 a year?

In data engineering, senior roles such as Lead Data Engineer or Data Engineering Manager can reach or exceed $300,000 annually, especially with extensive experience, advanced skills in cloud platforms, and certifications. High-level positions in finance, technology, and consulting also often pay this amount or more, typically requiring specialized expertise and leadership responsibilities.

What is the difference between Weekend Data Engineering vs Weekend Data Analysis?

AspectWeekend Data EngineeringWeekend Data Analysis
Required SkillsData pipeline development, SQL, Python, cloud platformsData interpretation, visualization, SQL, Excel
Work EnvironmentTechnical teams, data infrastructure projectsBusiness teams, reporting and insights
CertificationsData engineering certifications (e.g., Google Cloud, AWS)Data analysis certifications (e.g., Microsoft, Tableau)

Weekend Data Engineering focuses on building and maintaining data pipelines and infrastructure, requiring technical skills and cloud platform knowledge. In contrast, Weekend Data Analysis emphasizes interpreting data, creating reports, and providing insights, often using visualization tools. Both roles are essential in data-driven organizations but serve different functions during weekend projects or part-time work.

What are the most commonly searched types of Data Engineering jobs in Georgia? The most popular types of Data Engineering jobs in Georgia are:
What cities in Georgia are hiring for Weekend Data Engineering jobs? Cities in Georgia with the most Weekend Data Engineering job openings:
GCP Data Engineer (Alpharetta, GA)

GCP Data Engineer (Alpharetta, GA)

CEDENT

Alpharetta, GA

$111.80K - $134.20K/yr

Other

Posted 21 days ago


Job description

Local Candidate only, Alpharetta, GA Overview We are seeking a highly skilled Data Engineer / Cloud Data Solutions engineer with experience in Google Cloud Platform (GCP) to design, build, and optimize scalable data solutions. The ideal candidate will have a strong background in data engineering, data modeling, and data analysis, and will be proficient in cloud-based architectures. You will be responsible for architecting, developing, and maintaining data pipelines, optimizing data lifecycle processes, and creating insightful reports and dashboards that drive decision-making.

In this role, you will work closely with cross-functional teams to design robust data models and analytics solutions, utilizing your skills in BigQuery, Python, PySpark, LookML, SQL, GCP Data Studio, and GCP Data Flow. Your ability to tell compelling data stories and translate complex data into actionable insights will be crucial to your success. Key Responsibilities: -Design, develop, and manage scalable data architectures and pipelines on Google Cloud Platform (GCP).

-Build and optimize complex data models and ETL processes using BigQuery, LookML, Python, PySpark, and SQL. -Utilize GCP Data Flow and other GCP services to automate data processing and orchestration. -Leverage GCP Looker Studio to create insightful dashboards and reports that provide business value.

-Collaborate with data scientists, analysts, and other stakeholders to gather requirements and translate them into technical solutions. -Conduct data analysis to identify trends, patterns, and insights to support data-driven decision-making. -Apply advanced data modeling techniques to ensure data quality, integrity, and consistency.

-Manage and optimize the entire data lifecycle, from ingestion to archiving and deletion. -Develop and implement best practices for data governance, security, and compliance on GCP. -Communicate complex data findings to non-technical stakeholders through storytelling and data visualization.

Qualifications: -Bachelors or Masters degree in Computer Science, Data Engineering, Information Systems, or a related field. -8+ years of hands-on experience in data engineering, data modeling, and analytics on Google Cloud Platform (GCP). -Proficient in BigQuery, LookML, Python, PySpark, and SQL for data processing and analysis.


Cedent logo

About Cedent

Sourced by ZipRecruiter

CEDENT strives to attract and retain the best people and provide an environment where they can all develop professionally and build a rewarding career. As a result, we create an inclusive environment that is rich in diversity, acknowledges each individual's uniqueness and promotes respect, personal achievement and stewardship. Our clients are global and so is CEDENT. We build and maintain a global workforce that includes people from different backgrounds, with a vast range of skills and experience all united by a common culture and commitment to help our clients achieve high performance. Cultivating a diverse workforce and inclusive work environment makes business sense. Our peoples varied skills are the talent engine that powers CEDENT, enabling it in turn to deliver the innovative solutions that help our clients outperform competitors.

Industry

It services

Company size

11 - 50 Employees

Headquarters location

Plano, TX, US

Year founded

2008