2

Entry Level Finance Python Jobs in Lilburn, GA (NOW HIRING)

Data Engineer

Atlanta, GA

$110K - $132K/yr

This is an entry-level role, ideal for a recent graduate (preferably Georgia Tech or similar ... Python or similar programming language * Data structures and problem-solving * Internship ...

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

This is an entry-level role, ideal for a recent graduate (preferably Georgia Tech or similar ... Python or similar programming language * Data structures and problem-solving * Internship ...

Data Engineer

Atlanta, GA

$110K - $132K/yr

This is an entry-level role, ideal for a recent graduate (preferably Georgia Tech or similar ... Python or similar programming language * Data structures and problem-solving * Internship ...

... Python, Databricks, or Snowflake - Engaging in continuous learning to adapt to emerging data ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

AI & DevOps Engineer (Elite Entry-Level Track) Salary: $70,000/year W2 with a guaranteed ... You are ready to move anywhere in the US to work with the biggest names in Finance, Fintech, and ...

Data Engineer I - Wholesale Credit Delivery

Atlanta, GA · On-site

$110K - $132K/yr

This entry level role will work towards gaining expertise and knowledge across multiple lines of ... Preferred Qualifications: 1. Master's degree in field such as Finance, Mathematics, Analytics, Data ...

NET, Java or Python 2. Foundational knowledge of business concepts and terms 3. Effective verbal ... an entry level software engineer position Preferred Qualifications: Knowledge of specific ...

NET, Java or Python 2. Foundational knowledge of business concepts and terms 3. Effective verbal ... an entry level software engineer position Preferred Qualifications: Knowledge of specific ...

Entry Level Finance Python information

See Lilburn, GA salary details

$12

$53

$79

How much do entry level finance python jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for entry level finance python in Lilburn, GA is $53.81, according to ZipRecruiter salary data. Most workers in this role earn between $44.38 and $61.11 per hour, depending on experience, location, and employer.

What finance jobs require Python?

Finance jobs that require Python include roles such as quantitative analyst, financial analyst, risk analyst, and data scientist. These positions often involve data analysis, modeling, and automation, with proficiency in Python and related libraries like pandas and NumPy being essential. Knowledge of financial concepts and programming skills are important for these roles.

What is the difference between Entry Level Finance Python vs Entry Level Data Analyst?

AspectEntry Level Finance PythonEntry Level Data Analyst
Required SkillsPython, finance concepts, basic data analysisExcel, SQL, data visualization, basic statistics
CertificationsFinance or Python certifications helpfulData analysis or visualization certifications
Work EnvironmentFinancial institutions, fintech companiesCorporate, consulting, or tech firms
Industry UsageFinancial modeling, risk analysis, algorithmic tradingBusiness insights, reporting, data management

Entry Level Finance Python roles focus on applying Python skills within finance settings, emphasizing financial analysis and modeling. Entry Level Data Analyst positions involve broader data handling, visualization, and reporting tasks across various industries. While both roles require analytical skills, Finance Python roles are more specialized in finance-specific tools and concepts, whereas Data Analysts have a wider scope in data management and interpretation.

What is an entry level finance Python job?

Entry Level Finance Python jobs are positions for recent graduates or career starters in the finance industry that require knowledge of the Python programming language. These roles often involve tasks such as data analysis, financial modeling, automation of reporting, and developing tools to support trading or risk management. Employers seek candidates with a background in finance, economics, or a related field, as well as proficiency in Python and an understanding of financial concepts. These jobs provide a foundation for more advanced careers in quantitative finance, data science, or financial engineering.

What are the key skills and qualifications needed to thrive as an entry level finance Python professional, and why are they important?

To excel as an Entry Level Finance Python professional, you need a solid grounding in finance principles, data analysis, and proficiency in Python programming, often supported by a relevant degree in finance, economics, or computer science. Familiarity with financial modeling tools, Excel, SQL databases, and libraries like pandas or NumPy is typically required. Strong analytical thinking, problem-solving, and attention to detail are crucial soft skills in this role. These competencies enable accurate data-driven decision making and efficient automation of financial processes, both critical for success in the fast-paced finance industry.

What types of projects or tasks are typically assigned to entry level finance professionals with Python skills?

Entry-level finance professionals who know Python are often tasked with automating repetitive processes, cleaning and analyzing large datasets, and building simple financial models or dashboards. They may also support senior analysts by developing scripts to streamline data collection or reporting tasks. Collaboration with other team members, such as data analysts and financial managers, is common to ensure that insights derived from Python-driven analyses align with business goals. This hands-on experience not only builds technical skills but also offers exposure to the finance industry's data-driven decision-making processes.

Is Python useful for finance?

Python is highly useful for entry-level finance roles, as it is widely used for data analysis, financial modeling, and automation of tasks. Skills in Python, along with knowledge of libraries like pandas and NumPy, can improve efficiency and support decision-making in finance jobs.

What are popular job titles related to Entry Level Finance Python jobs in Lilburn, GA?

For Entry Level Finance Python jobs in Lilburn, GA, the most frequently searched job titles are:

What cities near Lilburn, GA are hiring for Entry Level Finance Python jobs?

Cities near Lilburn, GA with the most Entry Level Finance Python job openings:

Infographic showing various Entry Level Finance Python job openings in Lilburn, GA as of July 2026, with employment types broken down into 89% Full Time, 9% Part Time, and 2% Contract. Highlights an 81% Physical, 7% Hybrid, and 12% Remote job distribution, with an average salary of $111,930 per year, or $53.8 per hour.

$110K - $132K/yr

Full-time

Medical, Retirement, PTO

Posted 12 days ago


Job description

ABOUT THIS POSITION

We are seeking a Junior Data Engineer to join Waystar's Business Data & Architecture team and support our data modernization journey on Google Cloud Platform (GCP).
This is an entry-level role, ideal for a recent graduate (preferably Georgia Tech or similar program) with a strong foundation in data, software engineering, or analytics, and a passion for building scalable data solutions.
You will work alongside senior engineers and architects to help build and maintain data pipelines, contribute to modern Medallion architecture (Bronze/Silver/Gold), and learn best practices in cloud data engineering, governance, and analytics delivery.

WHAT YOU'LL DO

Data Pipeline Development (Learn & Build)

  • Assist in building and maintaining data pipelines into BigQuery using tools such as Fivetran and Python
  • Support development of bronze, silver, and gold data layers for analytics use cases
  • Contribute to data transformations using dbt (training provided if needed)
  • Work with senior engineers to understand orchestration and scheduling concepts

Data Quality & Reliability

  • Help implement basic data validation and data quality checks
  • Support monitoring of pipelines and troubleshooting data issues
  • Learn best practices for logging, testing, and error handling

Platform & Engineering Practices

  • Contribute to version-controlled development using GitHub
  • Assist in documenting data pipelines, transformations, and data models
  • Learn CI/CD and Infrastructure-as-Code concepts (Terraform exposure)

Governance & Collaboration

  • Partner with data engineers, analysts, and business stakeholders to understand data requirements
  • Support data classification, lineage, and governance initiatives
  • Participate in Data Champions and domain-based data ownership practices

Required Qualifications

  • Bachelor's degree in computer science, Data Engineering, Information Systems, or related field
  • Strong academic foundation in:
  • SQL
  • Python or similar programming language
  • Data structures and problem-solving
  • Internship, coursework, or project experience in data engineering, analytics, or cloud platforms
  • Willingness to learn modern data tools and cloud technologies
  • Strong communication and collaboration skills

Preferred Qualifications

  • Exposure to cloud platforms such as GCP, AWS, or Azure
  • Familiarity with:
  • BigQuery or relational databases
  • dbt or data transformation tools
  • APIs and data ingestion concepts
  • Experience with Git or version control
  • Academic or personal projects involving data pipelines or analytics

WHAT YOU'LL NEED

  • Building scalable data pipelines in a modern cloud platform (GCP / BigQuery)
  • Data modeling and Medallion architecture design
  • dbt-based transformation and analytics engineering
  • Data quality frameworks and observability
  • Data governance, classification, and secure access controls
  • Real-world enterprise data platform delivery
  • SQL
  • Python (or similar language)
  • Basic data modeling / analytics concepts
  • Git or version control (exposure)

ABOUT WAYSTAR

Through a smart platform and better experience, Waystar helps providers simplify healthcare payments and yield powerful results throughout the complete revenue cycle.

Waystar's healthcare payments platform combines innovative, cloud-based technology, robust data, and unparalleled client support to streamline workflows and improve financials so providers can focus on what matters most: their patients and communities. Waystar is trusted by 1M+ providers, 1K+ hospitals and health systems, and is connected to over 5K commercial and Medicaid/Medicare payers. We are deeply committed to living out our organizational values: honesty; kindness; passion; curiosity; fanatical focus; best work, always; making it happen; and joyful,optimistic & fun.

Waystar products have won multiple Best in KLAS or Category Leader awards since 2010 and earned multiple #1 rankings from Black Book surveys since 2012. The Waystar platform supports more than 500,000 providers, 1,000 health systems and hospitals, and 5,000 payers and health plans. For more information, visit waystar.comor follow @Waystaron Twitter.

WAYSTAR PERKS

  • Competitive total rewards (base salary + bonus, if applicable)
  • Customizable benefits package (3 medical plans with Health Saving Account company match)
  • We offer generous paid time off for our non-exempt team members, starting with 3 weeks +13 paid holidays, including 2 personal floating holidays. We also offer flexible time off for our exempt team members + 13 paid holidays
  • Paid parental leave (including maternity + paternity leave)
  • Education assistance opportunities and free LinkedIn Learning access
  • Free mental health and family planning programs, including adoption assistance and fertility support
  • 401(K) program with company match
  • Pet insurance
  • Employee resource groups

Waystar is proud to be an equal opportunity workplace. We celebrate, value, and support diversity and inclusion. Qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, marital status, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.

This applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.