Cloud Data Engineer: Data Pipelines & Analytics

dollartree; Chesapeake (VA); On-site; USD 95,000 - 119,000; Full time

Benefits offered by this job

10% annual bonus

Relocation assistance

Job summary

Family Dollar is seeking a Data Engineer to join the Data & Analytics Delivery Organization in Chesapeake, VA. This full-time, onsite role focuses on designing and building data pipelines on our cloud-based platform.

You will collaborate with product, architecture, development, BI and executives to translate business challenges into scalable data solutions, and you will implement batch and streaming data processes.

Qualifications

• 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.

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.

Skills

SQL

Python

Linux

Data Warehousing

Data Modeling

ETL/ELT

GCP

Big Data

Agile/Scrum

Stakeholder communication

Education

Bachelor’s degree in Computer Science or related field

Tools

Google BigQuery

Google Cloud Dataflow

Google Pub/Sub

Cloud Storage

Jira

Job description

Family Dollar is seeking a Data Engineer to join the Data & Analytics Delivery Organization in Chesapeake, VA. This full-time, onsite role focuses on designing and building data pipelines on our cloud-based platform.

You will collaborate with product, architecture, development, BI and executives to translate business challenges into scalable data solutions, and you will implement batch and streaming data processes.