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Senior Financial Data Engineer Jobs in Georgia (NOW HIRING)

Caresoft Inc.

Sr. Data Engineer

Atlanta, GA · On-site

$62 - $66/hr

Title: Sr. Data Engineer Location: Atlanta, Georgia 30334(Hybrid) Durartion: Long Term Skills: Bachelor's degree in computer science, Information Systems, or related field. Years of experience in ...

CirrusLabs

Sr. Data Engineer

Alpharetta, GA · On-site

$108K - $130K/yr

They are seeking a Sr. Data Engineer to design data models, plan data architecture, and build scalable ETL pipelines on Azure data platforms, while ensuring compliance with data governance principles.

System One

Senior Data Engineer

Atlanta, GA · On-site

$147K/yr

Senior Data Engineer Location: Preference will be given to candidates located in Atlanta, GA or the D.C. Metro area. US Citizen or Legal Permanent Resident required per government contract Clearance:

System One

Senior Data Engineer

Atlanta, GA · On-site

$147K/yr

Senior Data Engineer Location: Preference will be given to candidates located in Atlanta, GA or the D.C. Metro area. US Citizen or Legal Permanent Resident required per government contract Clearance:

System One

Senior Data Engineer

Atlanta, GA · On-site

$147K/yr

Senior Data Engineer Location: Preference will be given to candidates located in Atlanta, GA or the D.C. Metro area. US Citizen or Legal Permanent Resident required per government contract Clearance:

Ubertal Inc

Senior Data Engineer

Atlanta, GA · On-site

Senior Data Engineer Location: Atlanta, GA (Hybrid - Onsite Tuesday-Thursday, per manager's discretion) Job Type: Contract Start Date: November 17, 2025 End Date: June 30, 2026 Schedule: Full-time ...

Mueller Water Products

Sr. Financial Analyst

Atlanta, GA · On-site

$82K - $102K/yr

From lifesaving fire protection to data intelligence, we are committed to developing products and ... Senior Financial Analyst plays a critical role in executing the organization's budgeting ...

Mueller Water Products

Sr. Financial Analyst

Atlanta, GA · On-site

$100 - $125/hr

From lifesaving fire protection to data intelligence, we are committed to developing products and ... Our broad product and service portfolio includes engineered valves, fire hydrants, pipe connection ...

AVEVA Denmark

Senior Data Engineer

Alpharetta, GA · On-site

$150 - $200/hr

We are looking for a Senior AI Data Engineer to design and build scalable, secure, and high‑performance data platforms that power next‑generation AI applications. This role focuses on making ...

AVEVA Group

Senior Data Engineer

Alpharetta, GA · On-site

$103K - $140K/yr

Senior AI Data Engineer Location: Atlanta, GA (Hybrid) Organization: RIB North America (RIB NAM) Overview Are you a Data Engineer passionate about being part of an Agentic AI transformation journey ...

Aveva

Senior Data Engineer

Alpharetta, GA

$103K - $140K/yr

Senior AI Data Engineer Location: Atlanta, GA (Hybrid) Organization: RIB North America (RIB NAM) Overview Are you a Data Engineer passionate about being part of an Agentic AI transformation journey ...

Digital Envoy, Inc

Senior Data Engineer

Peachtree Corners, GA · On-site

$100K - $136K/yr

Digital Envoy is hiring a a full-time Senior Data Engineer who will support the development and ... financial markets to develop disruptive tools built on a foundation of quality location data. At ...

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Senior Financial Data Engineer information

What does a senior financial data engineer do?

A Senior Financial Data Engineer designs, builds, and manages data infrastructure specifically for financial systems and organizations. They work with large volumes of financial data, ensuring its quality, security, and accessibility for analysis and reporting. This role often involves collaborating with data scientists, analysts, and business stakeholders to create pipelines and tools that support financial modeling, risk assessment, and business intelligence. Senior Financial Data Engineers also play a key role in implementing best practices for data governance and regulatory compliance.

How does a senior financial data engineer typically collaborate with cross-functional teams in a financial organization?

A Senior Financial Data Engineer often works closely with data analysts, financial modelers, software developers, and business stakeholders to design and implement robust data pipelines and solutions. Collaboration involves translating business requirements into technical specifications, ensuring data quality and compliance, and enabling seamless data integration across platforms. Regular meetings and agile ceremonies are common, fostering open communication and fast adaptation to changing business needs. This cross-functional teamwork is crucial for delivering accurate, timely financial insights and supporting strategic decision-making.

What are the key skills and qualifications needed to thrive as a senior financial data engineer, and why are they important?

To thrive as a Senior Financial Data Engineer, you need advanced knowledge in data engineering, financial data modeling, and programming languages such as Python or Scala, usually supported by a degree in computer science, finance, or a related field. Familiarity with big data platforms (like Hadoop or Spark), cloud services (AWS, Azure, or GCP), and data warehousing solutions, along with certifications in relevant technologies, are typically required. Strong problem-solving, communication, and project management skills distinguish top performers in this role. These competencies are crucial for efficiently transforming complex financial data into actionable insights and ensuring accuracy, security, and scalability in financial systems.

What is the difference between Senior Financial Data Engineer vs Financial Data Engineer?

AspectSenior Financial Data EngineerFinancial Data Engineer
Required CredentialsBachelor's/Master's in Computer Science, Finance, or related; experience in data engineeringBachelor's in relevant field; entry-level experience in data engineering
Work EnvironmentFinancial institutions, investment firms, banksFinancial firms, fintech companies, data consultancies
Employer & Industry UsageUsed in finance-heavy roles requiring advanced data skillsEntry to mid-level roles in finance and data sectors

The main difference is experience level and responsibility. Senior Financial Data Engineers handle complex data projects, mentor teams, and have more strategic input, while Financial Data Engineers focus on building and maintaining data pipelines at an entry or mid-level. Both roles require strong technical skills and finance industry knowledge, but the senior role involves leadership and advanced problem-solving.

What are the most commonly searched types of Financial Data Engineer jobs in Georgia?

The most popular types of Financial Data Engineer jobs in Georgia are:

What are popular job titles related to Senior Financial Data Engineer jobs in Georgia?

For Senior Financial Data Engineer jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Senior Financial Data Engineer jobs in Georgia look for?

The top searched job categories for Senior Financial Data Engineer jobs in Georgia are:

What cities in Georgia are hiring for Senior Financial Data Engineer jobs?

Cities in Georgia with the most Senior Financial Data Engineer job openings:

Senior Financial Data Engineer jobs near you
Infographic showing various Senior Financial Data Engineer job openings in Georgia as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Senior Data Engineer

Publicis Groupe Holdings B.V

Atlanta, GA • On-site

$135K - $165K/yr

Full-time

Medical, PTO

Posted 4 days ago

Publicis Groupe rating

6.1

Company rating: 6.1 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

38th of 52 rated marketing agency

Job description

Company description
Publicis Sapient is a digital transformation partner helping established organizations get to their future, digitally enabled state, both in the way they work and the way they serve their customers. We help unlock value through a start-up mindset and modern methods, fusing strategy, consulting, and customer experience with agile engineering and problem-solving creativity. United by our core values and our purpose of helping people thrive in the brave pursuit of next, our 20,000+ people in 53 offices around the world combine experience across technology, data sciences, consulting, and customer obsession to accelerate our clients' businesses through designing the products and services their customers truly value.
Overview
Senior Associate Data Engineering L2
As a Senior Associate Data Engineer, you will be responsible for designing, developing, and maintaining scalable Big Data solutions. You will work with large datasets, real-time processing frameworks, and cloud-based data platforms to enable data-driven decision-making for our clients.
Your Impact
  • Design, develop, and maintain Big Data pipelines using technologies such as Hadoop, Spark, Kafka, and Flink.
  • Implement data processing and transformation workflows to support analytics, reporting, and machine learning applications.
  • Optimize data storage, retrieval, and processing for performance and scalability.
  • Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver high-quality solutions.
  • Ensure data quality, security, and compliance with industry standards and best practices.
  • Automate data workflows and monitoring processes to improve efficiency and reliability.
  • Stay updated with emerging Big Data technologies and best practices to drive innovation.

Skills & Experience
  • 5+ years of experience in Big Data engineering, data processing, and analytics.
  • Strong proficiency in Big Data technologies such as Hadoop, Spark, Kafka, Flink, and Hive.
  • Experience with cloud-based data platforms such as AWS, GCP, or Azure.
  • Proficiency in programming languages such as Java, Scala, or Python for data processing and analytics.
  • Hands-on experience with data modeling, ETL processes, and data warehousing.
  • Strong understanding of distributed computing, data streaming, and real-time processing.
  • Experience with SQL, NoSQL databases, and data lakes.
  • Knowledge of data governance, security, and compliance best practices.
  • Strong problem-solving and analytical skills with a focus on delivering high-quality data solutions.

Set Yourself Apart With
  • Experience with containerization and orchestration tools such as Docker, Kubernetes.
  • Knowledge of machine learning frameworks and data science workflows.
  • Certifications in Big Data technologies (e.g., AWS Certified Big Data - Specialty, Cloudera Certified Professional).
  • Experience in financial services, e-commerce, or supply chain industries.

Additional information
Benefits of Working Here
  • An inclusive workplace that promotes diversity and collaboration.
  • Access to ongoing learning and development opportunities.
  • Competitive compensation and benefits package.
  • Flexibility to support work-life balance.
  • Comprehensive health benefits for you and your family.
  • Generous paid leave and holidays.
  • Wellness program and employee assistance.

Pay Range: $135,000 - $165,000
The range shown represents a grouping of relevant ranges currently in use at Publicis Sapient. Actual range for this position may differ, depending on location and specific skillset required for the work itself.
As part of our dedication to an inclusive and diverse workforce, Publicis Sapient is committed to Equal Employment Opportunity without regard for race, color, national origin, ethnicity, gender, protected veteran status, disability, sexual orientation, gender identity, or religion. We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at hiring@publicis.sapient.com

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