Credigy ยท 2 days ago
Senior Data Engineer
Norcross, GA
Full-time
Hybrid
Mid, Senior Level
4+ years expCredigy is a global specialty finance company seeking a Senior Data Engineer to join their Data and Automation team. The role involves designing, building, and maintaining scalable data pipelines while ensuring data reliability and performance in production environments.
Financial ServicesInsurancePayments
Responsibilities
Design, build, and maintain end-to-end data pipelines, including ingestion, transformation, validation, orchestration, and delivery
Develop and optimize data pipelines primarily using Snowflake, SQL Server, and Azure-based services
Ensure data is available, secure, and consistently delivered through a well-defined and scalable data architecture
Assemble large, complex datasets that meet functional and non-functional business requirements
Own the reliability of production data pipelines, including monitoring, troubleshooting, and incident resolution
Perform root cause analysis for data issues and implement durable fixes to prevent recurrence
Implement and maintain data quality checks and validation frameworks to ensure accuracy and consistency
Support multiple teams and systems while maintaining high availability and data integrity
Identify and lead opportunities to optimize, automate, and modernize existing data processes and pipelines
Maintain and enhance legacy ETL processes, while gradually re-architecting them toward more scalable, cloud-native solutions
Drive improvements in performance, cost efficiency, and maintainability of the data platform
Partner closely with Analytics, Business users, and Data scientist teams to understand data needs and translate them into effective technical solutions
Communicate clearly with both technical and non-technical stakeholders, setting expectations and explaining trade-offs
Contribute to data engineering standards, documentation, and best practices
Use GitHub for version control, code reviews, and collaboration
Contribute to and support CI/CD pipelines for data workflows to enable reliable, repeatable deployments
Promote engineering best practices, including testing, documentation, and observability
Qualification
Required
4+ years of experience as a Data Engineer, BI Developer, or ETL Developer
Strong SQL expertise with MS SQL Server and T-SQL
Hands-on experience with SSIS and Azure Data Factory (ADF)
Experience working with Snowflake and cloud-based data platforms
Proven experience designing, building, and optimizing data pipelines and data architectures
Experience supporting production data systems in a fast-paced environment
Bachelor's degree in Computer Science, Information Systems, Statistics, or a related field (or equivalent experience)
Preferred
Experience with dbt for data transformation and modeling
Experience using Python for data processing and integrations
Experience with Informatica
Experience implementing CI/CD for data pipelines
Strong understanding of data modeling, data quality, and governance best practices
Benefits
Meaningful perks that support professional growth, personal connection, and a life outside the office
Innovative, personalized flexible work program
Company
Credigy
Credigy provides creative solutions for consumer finance.
51-200 employees
H1B Sponsorship
Credigy has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (3)
2024 (3)
2023 (5)
2022 (2)
2021 (3)
2020 (7)
Funding
Current Stage
Growth StageLeadership Team
Brett Samsky
CEO/Founder
Wallace Greene, CFA (Trey)
Chief Operating Officer
Company data provided by crunchbase