Data Engineer

We are seeking a Data Engineer who combines strong business acumen with hands-on technical expertise. This role requires someone who can partner with key stakeholders to understand business challenges and translate them into world-class technical solutions using modern cloud technologies. You will be responsible for designing and building data engineering solutions on our cloud-based data platform. The role includes contributing to technical design, developing scalable data pipelines, and supporting data engineering workloads.

Principal Duties and Responsibilities:

• Collaborate closely with stakeholders across product, architecture, development, business intelligence, and executive teams.

• Analyze data from multiple sources and develop solutions to integrate data into the enterprise data ecosystem

• Develop automated pipelines to ingest and process structured and unstructured data using both batch and streaming patterns with cloud-native toolsets

• Work with diverse datasets and technologies to understand cross-system correlations, patterns, and data relationships

• Build, schedule, and monitor data pipeline orchestrations

• Implement automation to optimize compute and storage usage across the cloud data platform

• Develop and enhance end-to-end monitoring and observability capabilities for cloud-based data platforms

• Support knowledge sharing, cross-training, and onboarding activities for team members

• Provide clear and frequent updates to stakeholders on progress, risks, and deliverables

• Participate in daily Scrum standups and contribute to an agile development environment

• Stay current on emerging trends and technologies in Data Warehousing and Analytics-particularly within retail.

Candidates must be authorized to work in the United States without the need for current or future visa sponsorship.

This position is for full-time, onsite employment at the Family Dollar Chesapeake Store Support Center., + Bachelor’s degree or higher in Computer Science, Engineering, or a related field.

• 3+ years of experience in data engineering or data analytics.

• Strong understanding of RDBMS concepts with 3+ years of advanced SQL and data analysis experience.

• 2+ years of experience with Linux command-line tools and scripting.

• 3+ years of Python development experience with expert-level proficiency.

• 1+ year working with Big Data processing frameworks and tools.

• Hands-on experience with GCP services such as Cloud Storage, Dataflow, Pub/Sub, and BigQuery.

• Strong proficiency in SQL, Python, Linux shell scripting, and data modeling.

• Solid knowledge of data modeling techniques

• Ability to analyze source systems and transform data to meet target data model requirements.

• Experience working with large-scale data warehouses (10+ TB) and high-volume ETL/ELT workloads (50M+ records/day).

• Demonstrated experience delivering end-to-end technical solutions within enterprise BI/Data Warehousing environments.

• Experience with performance tuning and optimization across the data delivery pipeline-from ingestion through analytics.

• Experience migrating data of various formats (JSON, delimited files, APIs, real-time feeds) into Google BigQuery is strongly preferred.

• Experience working in a Scrum/Agile environment and tools such as Jira.

• Nice to have:

• Experience working with a data science workbench or ML development environment.

• Familiarity with data engineering aspects of machine learning pipelines (e.g., data prep, splitting, feature engineering, scoring)

This is an exciting opportunity to join the Data & Analytics Delivery Organization at Family Dollar. The company is undergoing a major transformation, and data-driven insights are playing a critical role in delivering the best possible customer experience.