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Job Summary

The Staff Data Engineer works on different projects of data engineering to support the use cases, data ingestion pipeline, data warehouse, data lake and enterprise big data platform with multi-datacenter contexts and identify potential process or data warehousing issues. Identify the architecture, infrastructure and interface to data sources, tools supporting automated data loads, security concerns, analytical models and data visualization. The Data Engineer team supports marketing analytic teams with analytical tools that enable our analytics and business communities to do their job easier, faster and smarter. The team brings together data from different internal & external partners and builds a curated Marketing analytics focused data & tools ecosystem. The Lead Data Engineer plays a crucial role in building this ecosystem depending on the Marketing analytics communities need.

 

Essential Job Functions

• Demonstrate foundational knowledge of credit card operations, banking, financial, loyalty rewards, retail, and credit card regulations while working with the business. Understand and employ common procedures and tools used in the Data Operations lifecycle (Agile Project Management, CI/CD, JIRA, etc.). Document important milestones and data lineage definitions. - (10%)
• Provides guidance on building data pipeline for various data sources, particularly from many external data sources. Works with other project team members to understand the use cases, familiar with data sources, provides recommendation on data ingestion processes, complete data ingestion, monitor and identify potential process or data quality issues. - (15%)
• Collaborate with Data Architects/Engineers on data model management and version control. Capture Critical Data Elements (CDE) and translate them into quality checks with Business/Data Engineers. Collaborate with business users, analysts, and architects to convert requirements into analytical tools and dashboards, aligning with usability best practices and design trends. - (10%)
• Demonstrates analytical, interpersonal and professional communication skills. Learns quickly and works effectively individually and as part of a team. Accesses, extracts, and transforms Credit and Retail data from a variety of sources of all sizes (including client marketing databases, 2nd and 3rd party data) using Hadoop, Spark, SQL, Big data technologies etc. - (10%)
• Provides automation help to analytical teams around data centric needs using orchestration tools, SQL and possibly other big data/cloud solutions for efficiency improvement. Supports Lead Data Engineer and Principal Data Engineer in new analytical proof of concepts and tool exploration projects. - (5%)
• Effectively manages time and computing resources in order to deliver on time/correctly on concurrent projects. Involved in creating POCs to ingest and process streaming data using Spark and HDFS. Answers and trouble shoots questions about data sets and analytical tools; Develops, maintains and enhances new and existing analytics tools/Frameworks to support internal customers/consumers. - (10%)
• Design, develop and implement data infrastructure and pipelines that collect, connect, centralize, and curate data from various internal and external data sources. Create automation systems and tools to configure, monitor, and orchestrate our data infrastructure and our data pipelines. - (10%)
• Ingests data from different sources, processes it according to the requirement document in order to store data to Hive or NoSQL database or different warehousing solutions. Involved in HDFS maintenance, and loading of structured and unstructured data. Evaluate new technologies for continuous improvements and collaborate closely with the product team to build out new data features. - (10%)
• Work with the data analysts and scientists to implement descriptive, forecasting, and predictive algorithms and models using the latest technologies. Make technology decisions for our data infrastructure. Applies knowledge in Agile Scrum methodology that leverages the Client BigData platform and used version control tool Git. - (10%)
• Perform as a Subject Matter Expert on various data domains and business processes. Understand and employ best practices in the field. Educate and mentor associates across the business in these best practices. Translate complex technical subjects for diverse audiences, ensuring alignment and understanding across technical and non-technical stakeholders. - (10%)

Minimum Qualifications

• Bachelor’s Degree in Computer Science or Information Systems or equivalent experience.
• 1 cloud certification- AWS cloud practitioner, Microsoft Azure Fundamentals or Google Cloud- Cloud Digital Leader
• 8-10 years of work experience required in IT, SQL, Hadoop Ecosystems, Data warehouse, Data Modelling.
• Experience on project management framework Agile (Jira toolset). Knowledge and experience in developing software using agile methodologies.
• Expert in ER studio, Business process management tool. Expert knowledge on metadata management and related tools.

Preferred Qualifications

• Master’s Degree in Computer Science or STEM field or equivalent experience.
• 10-13 years of work experience preferred as Agile product owner or scrum master experience, Hadoop, Spark.
• Experience developing systems intended for cloud deployments (AWS, EKS, lambda’s, etc.).
• Exposure Azure data environment and familiarity with associated tools would be added advantage

Skills

• Solutions Design
• Python (Programming Language)
• Platform Technologies
• Structured Query Language (SQL)
• Data Warehousing (DW)
• Data Strategies
• Data Profiling
• Data Modeling
• Data Engineering
• Data Analysis
• Apache Hadoop

Reports To: Senior Manager and above

Direct Reports: 0

Work Environment

• Normal office environment, hybrid.

Other Duties

This job description is illustrative of the types of duties typically performed by this job. It is not intended to be an exhaustive listing of each and every essential function of the job. Because job content may change from time to time, the Company reserves the right to add and/or delete essential functions from this job at any time.

About Bread Financial®

At Bread Financial, you’ll have the opportunity to grow your career, give back to your community, and be part of our award-winning culture. We’ve been consistently recognized as a best place to work nationally and in many markets and we’re proud to promote an environment where you feel appreciated, accepted, valued, and fulfilled—both personally and professionally. Bread Financial supports the overall wellness of our associates with a diverse suite of benefits and offers boundless opportunities for career development and non-traditional career progression.

Bread Financial® (NYSE: BFH) is a tech-forward financial services company that provides simple, personalized payment, lending and saving solutions to millions of U.S. consumers. Our payment solutions deliver growth for some of the most recognized brands in travel & entertainment, health & beauty, technology, electronics, jewelry, home and specialty apparel through our co-brand and private label credit cards and pay-over-time products providing choice and value to our shared customers. Additionally, we offer Bread Financial general purpose credit cards and saving products that empower our customers and their passions for a better life.

 

Bread Financial proudly marks 30 years of success in 2026. To learn more about our global associates, our performance and our sustainability progress, visit breadfinancial.com or follow us on Instagram and LinkedIn.

• All job offers are contingent upon successful completion of credit and background checks.

• Bread Financial is an Equal Opportunity Employer.

Job Family:

Information Technology

Job Type:

Regular