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Senior Financial Data Engineer Jobs in Georgia (NOW HIRING)

Senior Financial Data Analyst

Alpharetta, GA · On-site

$83K - $104K/yr

Role Overview As a Senior Financial Data Analyst, you will transform financial and operational data into insights that support planning, performance management, and business decision-making. You will ...

Senior Financial Data Analyst

Alpharetta, GA · On-site

$83K - $104K/yr

Role Overview As a Senior Financial Data Analyst, you will transform financial and operational data into insights that support planning, performance management, and business decision-making. You will ...

Our client is hiring for a Senior Financial Analyst in Atlanta, GA. This role sits within the FP&A ... It's a great fit for someone who enjoys translating complex data into clear, actionable insights ...

Senior Financial Analyst

Atlanta, GA · On-site

$92 - $120/hr

As a Senior Financial Analyst, you will have the pivotal role of compiling and analyzing financial data across all divisions, ensuring strategic decisions are data-driven and grounded in solid fiscal ...

Senior Data Engineer

Atlanta, GA · On-site

$100 - $130/hr

At Sovos, we're building a world‑class financial data platform to support a global tax compliance leader - and the Senior Data Engineer is the foundation it all runs on. In this role, you'll own ...

The Senior FP&A Analyst (GovCon) serves as F3EA's primary financial planning and program analysis ... Translate financial data into actionable business recommendations. * Identify financial risks ...

The Senior FP&A Analyst (GovCon) serves as F3EA's primary financial planning and program analysis ... Partner with IT to improve financial data automation. Financial Systems * Develop analytical ...

The Senior FP&A Analyst (GovCon) serves as F3EA's primary financial planning and program analysis ... Partner with IT to improve financial data automation. Financial Systems * Develop analytical ...

Senior Data Engineer

Atlanta, GA · On-site

$101K - $138K/yr

Senior Data Engineer Overview: We are seeking an experienced, hands-on Senior Data Engineer to lead ... You make the case; selection and purchase are joint decisions with R&D and Finance. * Data Quality ...

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Showing results 1-20

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:

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 Financial Data Analyst

PDI Technologies

Alpharetta, GA • On-site

Full-time

Posted 4 days ago


PDI Technologies rating

7.8

Company rating: 7.8 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

139th of 247 rated software companies


Job description

At PDI Technologies, we empower some of the world's leading convenience retail and petroleum brands with cutting-edge technology solutions that drive growth and operational efficiency.
By "Connecting Convenience" across the globe, we empower businesses to increase productivity, make more informed decisions, and engage faster with customers through loyalty programs, shopper insights, and unmatched real-time market intelligence via mobile applications, such as GasBuddy. We're a global team committed to excellence, collaboration, and driving real impact. Explore our opportunities and become part of a company that values diversity, integrity, and growth.
Role Overview
As a Senior Financial Data Analyst, you will transform financial and operational data into insights that support planning, performance management, and business decision-making. You will develop and maintain reporting, dashboards, data models, and automated analytics solutions that improve visibility into business performance and increase the efficiency of Finance processes. Working cross-functionally, you will translate complex business questions into data-driven analyses, identify trends and opportunities, and leverage automation and AI-enabled tools to strengthen reporting, forecasting, and financial insights.
Key Responsibilities
• Analyze complex financial and operational data to identify trends, patterns, risks, and opportunities that support business and financial decision-making.
• Develop and maintain dashboards, reports, and analytics solutions that provide clear visibility into financial and operational performance.
• Partner with Finance and business stakeholders to understand reporting and analytical needs and translate them into scalable data and reporting solutions.
• Build and maintain data models, reporting logic, business rules, and data definitions that support consistent and reliable financial analysis.
• Automate recurring reporting and analytical processes to improve efficiency, accuracy, and scalability across Finance.
• Perform data validation, reconciliation, and quality analysis to ensure financial reporting is accurate, complete, and consistent across systems.
• Develop ad hoc analyses, forecasts, and scenario-based insights to support financial planning, performance reviews, and business decisions.
• Translate complex financial and operational data into clear, compelling insights and recommendations for leadership and business stakeholders.
• Identify and implement opportunities to improve Finance data, reporting processes, tools, and workflows.
• Leverage AI-enabled tools and automation to accelerate analysis, improve reporting efficiency, identify trends, and enhance financial insights.
• Evaluate emerging AI, analytics, and automation capabilities and identify practical opportunities to apply them within Finance.
• Maintain documentation for key reports, metrics, data definitions, business rules, and analytical processes.
Qualifications
Qualifications
• Bachelor's degree in Finance, Accounting, Economics, Data Analytics, Business, Information Systems, or a related field, or equivalent practical experience.
• 3+ years of experience in data analytics, financial analytics, business intelligence, FP&A analytics, or a related discipline.
• Strong experience analyzing complex financial and operational data and translating findings into actionable business insights.
• Experience developing dashboards, reporting solutions, and automated analytics using business intelligence and data visualization tools.
• Strong proficiency in Microsoft Excel and experience with SQL and data visualization or business intelligence tools.
• Experience working with financial and operational data with an understanding of key financial metrics and business performance drivers.
• Experience with data modeling, data definitions, business rules, data validation, and reporting governance.
• Demonstrated ability to improve reporting and analytical processes through automation and process improvement.
• Familiarity with AI-enabled analytics, automation, or emerging technologies used to improve reporting, forecasting, and decision support.
• Strong analytical and problem-solving skills with the ability to independently work through complex data and business questions.
• Strong communication and data storytelling skills with the ability to present complex information clearly to business stakeholders.
• Ability to independently manage complex work and multiple priorities with minimal supervision.
Behavioral Competencies
• Business Insight
• Manages Complexity
• Decision Quality
• Tech Savvy
• Drives Results
PDI is committed to offering a well-rounded benefits program, designed to support and care for you, and your family throughout your life and career. This includes a competitive salary, market-competitive benefits, and a quarterly perks program. We encourage a good work-life balance with ample time off [time away] and, where appropriate, hybrid working arrangements. Employees have access to continuous learning, professional certifications, and leadership development opportunities. Our global culture fosters diversity, inclusion, and values authenticity, trust, curiosity, and diversity of thought, ensuring a supportive environment for all.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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