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  • Location

    Kennesaw, Georgia

  • Job title:

    Data Engineer

  • Sector:


  • Job type:

    Direct Hire

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Data Engineer



In this role you will work in a fast-paced Scrum/Agile environment, supporting the Product Development team in the FinTech space. You will be responsible for developing and executing data quality control and validation procedures. This is a critical position within the organization as the integrity and validity of the analytics have a direct impact on our business strategy. You will partner with business leaders and technology teams to define, refine and execute the detailed data requirements for an analytics data warehouse (ADW) independent of the operational tables. Here our client will want you to use out of the box thinking to drive innovation and address challenging assignments to support the growing risk and analytics department. By creating data structures to support the needs of the enterprise Business Intelligence function.



  • 3+ years of experience with statistical tools (e.g. R, Python) and analysis, regression modeling and forecasting. Able to write SQL scripts for analysis and reporting (SQL, MySQL).

  • 3+ years of experience in data architecture role with deep understanding of architecture principles and best practices.

  • Ability to setup and maintain database for extremely large datasets using current database technologies (ex. MongoDB).


We’d love to see

  • 3+ years of work experience with ETL, data modeling, and business intelligence big data architectures. • Experience in machine learning, artificial intelligence and/or artificial neural networks.

  • Familiarity with Business Intelligence tools such as Domo, Tableau, or Power BI. • Experience delivering solutions in an Agile environment.

  • Must have excellent verbal and written communications skills and be a strong team player to cross organizational boundaries and communicate across different disciplines.

  • Prioritization and management of multiple potentially conflicting priorities are critical to this role. The successful candidate must be able to set (and at times reset) expectations with management on delivery of objectives. 

  • Experience with consumer lending, lending and accounting software, high volume lead generation, payment processing, contact center and CRM systems preferred but not required

  •  Expert experience with requirements/task/project management tools such as Jira and MSprojectSQL



  • Develop big data solutions that meet the ever-growing corporate demands for data. · Create data structures to support the generation of business insights and strategy.

  • Maintain data infrastructure and develop scripts for regular (daily) update processes.

  • Develop and maintain a data dictionary for ADW · Automate existing risk and business monitoring reports for production in a set cadence (daily, weekly, and monthly).

  • Familiarity with business rules engines is a plus, as the role requires making regular changes to the risk decision engine based on business requests

  • Analyze modeling, analytics, and data analysis requests obtained from various teams to define data modeling requirements and structures to meet the business needs and fulfill the requirements

  • Identify opportunities to use data for developing new business strategies and improve risk, marketing, and operational performance and utilize knowledge of mathematical modeling to perform quantitative and qualitative data analysis.

  • Utilize programming and analytical tools including but not limited to SAS, SQL, Teradata or similar relational database tool, and Unix to formulate mathematical or simulation models. · Establish and ensure adherence to appropriate data governance procedures.

  • Communicate and present data to management by developing appropriate reports.




A human approach to staffing.


Our Company is committed to the principles of equal employment. We are committed to complying with all federal, state, and local laws providing equal employment opportunities, and all other employment laws and regulations. It is our intent to maintain a work environment which is free of harassment, discrimination, or retaliation because of sex, gender, race, religion, color, national origin, physical or mental disability, genetic information, marital status, age, sexual orientation, gender identity, military service, veteran status, or any other status protected by federal, state, or local laws. The Company is dedicated to the fulfillment of this policy in regard to all aspects of employment, including but not limited to recruiting, hiring, placement, transfer, training, promotion, rates of pay, and other compensation, termination, and all other terms, conditions, and privileges of employment.